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Winalai C, Anupong S, Modchang C, Chadsuthi S. LSTM-Powered COVID-19 prediction in central Thailand incorporating meteorological and particulate matter data with a multi-feature selection approach. Heliyon 2024; 10:e30319. [PMID: 38711630 PMCID: PMC11070856 DOI: 10.1016/j.heliyon.2024.e30319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 04/23/2024] [Accepted: 04/23/2024] [Indexed: 05/08/2024] Open
Abstract
The COVID-19 pandemic has significantly impacted public health and necessitated urgent actions to mitigate its spread. Monitoring and predicting the outbreak's progression have become vital to devise effective strategies and allocate resources efficiently. This study presents a novel approach utilizing Multivariate Long Short-Term Memory (LSTM) to analyze and predict COVID-19 trends in Central Thailand, particularly emphasizing the multi-feature selection process. To consider a comprehensive view of the pandemic's dynamics, our research dataset encompasses epidemiological, meteorological, and particulate matter features, which were gathered from reliable sources. We propose a multi-feature selection technique to identify the most relevant and influential features that significantly impact the spread of COVID-19 in the region to enhance the model's performance. Our results highlight that relative humidity is the key factor driving COVID-19 transmission in Central Thailand. The proposed multi-feature selection technique significantly improves the model's accuracy, ensuring that only the most informative variables contribute to the predictions, avoiding the potential noise or redundancy from less relevant features. The proposed LSTM model demonstrates its capability to forecast COVID-19 cases, facilitating informed decision-making for public health authorities and policymakers.
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Affiliation(s)
- Chanidapa Winalai
- Department of Physics, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand
| | - Suparinthon Anupong
- Department of Chemistry, Mahidol Wittayanusorn School (MWIT), Salaya, Nakhon Pathom 73170, Thailand
| | - Charin Modchang
- Biophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
- Centre of Excellence in Mathematics, CHE, Bangkok 10400, Thailand
- Thailand Center of Excellence in Physics, CHE, 328 Si Ayutthaya Road, Bangkok 10400, Thailand
| | - Sudarat Chadsuthi
- Department of Physics, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand
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2
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Jensen L, Dobbs J, Updike A. Making the Case for Criticality: A Novel Approach to Nursing Product Education. J Nurs Adm 2024; 54:47-53. [PMID: 38117152 DOI: 10.1097/nna.0000000000001376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
A newly integrated, large multistate healthcare system standardized its approach to nursing product education using a novel criticality process and forging collaborative partnerships with supply chain peers. The criticality assessment drives education interventions that align with expectations of modern learners, provide consistency, and improve stewardship of time and resources. Education is based on a product's complexity, impact to practice or workflows, and risk to the patient or nursing end user.
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Affiliation(s)
- Lillian Jensen
- Author Affiliations: Nursing Professional Development Specialist Lead (Jensen and Updike) and Vice President of Nursing Education and Professional Development (Dobbs), System Nursing Education and Professional Development Department, Advocate Health Midwest Region, Milwaukee, Wisconsin
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3
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Rinaldi M, Bottani E. How did COVID-19 affect logistics and supply chain processes? Immediate, short and medium-term evidence from some industrial fields of Italy. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 2023; 262:108915. [PMID: 37260768 PMCID: PMC10199754 DOI: 10.1016/j.ijpe.2023.108915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 04/05/2023] [Accepted: 05/14/2023] [Indexed: 06/02/2023]
Abstract
This paper provides empirical evidence on the impact of the Covid-19 pandemic on logistics and supply chain processes of five industrial sectors of Italy, namely food & beverage, machine manufacturing, metal mechanical industry, logistics & transport, and textile & fashion. A questionnaire survey, with 82 useful responses, was conducted to investigate various effects of Covid-19 on these businesses, such as the volumes handled and the service performance in the immediate-, short- and medium-term, the countermeasures implemented by companies and the future decision-making strategies. The period of analysis spans from January 2020 to June 2021. Results show that the impact of Covid-19 on volumes and service performance varied across the sectors: the food & beverage and logistics & transport were poorly affected by the pandemic and experienced a general increase in the demand and volumes, while mechanical or textile & fashion industries were mostly affected by a decrease in demand. The positive/negative impacts were particularly evident at the beginning of the pandemics, but, depending on the sector, the effects could cease quite quickly or last in the short-term. The countermeasures adopted against the Covid-19 emergency differ again across sectors; in general, industry fields that were particularly impacted by the pandemic emergency have applied more countermeasures. Typical strategies for risk management (e.g., the diversification in transport modes or the stock increase) turned out to be applied as immediate countermeasures or in plan for the future in few industries only. Differences across sectors were also observed about the sourcing strategies already in use, implemented to counteract the pandemics or expected to be maintained in time. Empirical outcomes offered are expected to help researchers gain a deep understanding of Covid-19 related phenomena, thus inspiring further research activities.
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Affiliation(s)
- Marta Rinaldi
- Department of Engineering, University of Campania "Luigi Vanvitelli", via Roma 29, 81031, Aversa, Italy
| | - Eleonora Bottani
- Department of Engineering and Architecture, University of Parma, viale delle Scienze 181/A, 43124, Parma, Italy
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4
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Kanté DSI, Jebrane A, Hakim A, Boukamel A. Characterization of superspreaders movement in a bidirectional corridor using a social force model. Front Public Health 2023; 11:1188732. [PMID: 37575110 PMCID: PMC10416642 DOI: 10.3389/fpubh.2023.1188732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 07/11/2023] [Indexed: 08/15/2023] Open
Abstract
During infectious disease outbreaks, some infected individuals may spread the disease widely and amplify risks in the community. People whose daily activities bring them in close proximity to many others can unknowingly become superspreaders. The use of contact tracking based on social networks, GPS, or mobile tracking data can help to identify superspreaders and break the chain of transmission. We propose a model that aims at providing insight into risk factors of superspreading events. Here, we use a social force model to estimate the superspreading potential of individuals walking in a bidirectional corridor. First, we applied the model to identify parameters that favor exposure to an infectious person in scattered crowds. We find that low walking speed and high body mass both increase the expected number of close exposures. Panic events exacerbate the risks while social distancing reduces both the number and duration of close encounters. Further, in dense crowds, pedestrians interact more and cannot easily maintain the social distance between them. The number of exposures increases with the density of person in the corridor. The study of movements reveals that individuals walking toward the center of the corridor tend to rotate and zigzag more than those walking along the edges, and thus have higher risks of superspreading. The corridor model can be applied to designing risk reduction measures for specific high volume venues, including transit stations, stadiums, and schools.
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Affiliation(s)
- Dramane Sam Idris Kanté
- LAMAI, Department of Mathematics, Faculty of Sciences and Technologies, Cadi Ayyad University, Marrakesh, Morocco
- Centrale Casablanca, Complex Systems and Interactions Research Center, Ville Verte, Bouskoura, Morocco
| | - Aissam Jebrane
- Centrale Casablanca, Complex Systems and Interactions Research Center, Ville Verte, Bouskoura, Morocco
| | - Abdelilah Hakim
- LAMAI, Department of Mathematics, Faculty of Sciences and Technologies, Cadi Ayyad University, Marrakesh, Morocco
| | - Adnane Boukamel
- Centrale Casablanca, Complex Systems and Interactions Research Center, Ville Verte, Bouskoura, Morocco
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5
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Tatsis F, Dragioti E, Gouva M, Koulouras V. Economic Burden of ICU-Hospitalized COVID-19 Patients: A Systematic Review and Meta-Analysis. Cureus 2023; 15:e41802. [PMID: 37575747 PMCID: PMC10422680 DOI: 10.7759/cureus.41802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/13/2023] [Indexed: 08/15/2023] Open
Abstract
The impact of the coronavirus disease 2019 (COVID-19) pandemic on the global economy is far-reaching and difficult to assess accurately. We aimed to systematically determine the magnitude of the costs and the economic burden of intensive care for hospitalized COVID-19 patients since the onset of the pandemic by means of a systematic review. We conducted a PRISMA 2020-compliant (protocol: PROSPERO CRD42022348741) systematic review by searching PubMed, EMBASE, and Web of Science for relevant literature. We included studies that presented costs based on a primary partial economic evaluation. Using the Consolidated Health Economic Evaluation Reporting Standards checklist and the population, intervention, control, and outcome criteria, we established the risk of bias in studies at the individual level. Daily cost per ICU admission and total cost per ICU patient of the original studies extracted. A random effect model was adopted for meta-analysis whenever possible. Of the 1,635 unique records identified, 14 studies related to ICU-hospitalized costs due to COVID-19 were eligible for inclusion. Included studies represented 93,721 hospitalized COVID-19 patients. Regarding total direct medical costs, the lowest cost per patient at ICU was observed in Turkey ($2,984.78 ± 2,395.93), while the highest was in Portugal ($51,358.52 ± 30,150.38). The Republic of Korea reported the highest length of stay of 29.4 days (±17.80), and the lowest is observed in India for nine days (±5.98). Our findings emphasize COVID-19's significance on health-economic outcomes. Limited research exists on the economic burden of COVID-19 in the ICU. Further studies on cost estimates can enhance data clarity, enabling informed analysis of healthcare costs and aiding efficient patient care organization by care providers and policymakers.
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Affiliation(s)
- Fotios Tatsis
- Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, GRC
| | - Elena Dragioti
- Research Laboratory Psychology of Patients, Families & Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, GRC
- Pain and Rehabilitation Centre, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, SWE
| | - Mary Gouva
- Research Laboratory Psychology of Patients, Families & Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, GRC
| | - Vasilios Koulouras
- Department of Intensive Care Unit, University Hospital of Ioannina, Ioannina, GRC
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6
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Vo TPT, Ngo HH, Guo W, Turney C, Liu Y, Nguyen DD, Bui XT, Varjani S. Influence of the COVID-19 pandemic on climate change summit negotiations from the climate governance perspective. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 878:162936. [PMID: 36934916 PMCID: PMC10023208 DOI: 10.1016/j.scitotenv.2023.162936] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 03/12/2023] [Accepted: 03/14/2023] [Indexed: 05/13/2023]
Abstract
The COVID-19 pandemic has caused significant disruptions to the world since 2020, with over 647 million confirmed cases and 6.7 million reported deaths as of January 2023. Despite its far-reaching impact, the effects of COVID-19 on the progress of global climate change negotiations have yet to be thoroughly evaluated. This discussion paper conducts an examination of COVID-19's impact on climate change actions at global, national, and local levels through a comprehensive review of existing literature. This analysis reveals that the pandemic has resulted in delays in implementing climate policies and altered priorities from climate action to the pandemic response. Despite these setbacks, the pandemic has also presented opportunities for accelerating the transition to a low-carbon economy. The interplay between these outcomes and the different levels of governance will play a crucial role in determining the success or failure of future climate change negotiations.
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Affiliation(s)
- Thi Phuong Tram Vo
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NWS 2007, Australia
| | - Huu Hao Ngo
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NWS 2007, Australia.
| | - Wenshan Guo
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NWS 2007, Australia
| | - Chris Turney
- Earth System Science, University of Technology Sydney, Sydney, NWS 2007, Australia
| | - Yiwen Liu
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NWS 2007, Australia
| | - Dinh Duc Nguyen
- Department of Environmental Energy Engineering, Kyonggi University, 442-760, Republic of Korea
| | - Xuan Thanh Bui
- Key Laboratory of Advanced Waste Treatment Technology & Faculty of Environment and Natural Resources, Ho Chi Minh City University of Technology (HCMUT), Vietnam National University Ho Chi Minh (VNU-HCM), Ho Chi Minh City 700000, Viet Nam
| | - Sunita Varjani
- School of Energy and Environment, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong
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7
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Paul KI, Hollederer A. Unemployment and Job Search Behavior among People with Disabilities during the First Year of the COVID-19 Pandemic in Germany. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6036. [PMID: 37297640 PMCID: PMC10252648 DOI: 10.3390/ijerph20116036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/25/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023]
Abstract
Not much is known about how the COVID-19 pandemic affected the labor market experiences of people with disabilities. Since they constitute a generally disadvantaged group in the labor market, it is important to scrutinize whether their position has worsened during these difficult times and how they reacted with regard to their job search behavior. We therefore used data for the year 2020 from a large German panel (Panel Arbeitsmarkt und Soziale Sicherung, PASS), in order to scrutinize the prevalence of unemployment among people with disabilities (N = 739) during the first year of the COVID-19 pandemic. The factors that affected their unemployment status were also analyzed. The study found that people with legally recognized disabilities were more often unemployed than non-disabled people, even when controlling for possible confounding factors such as age, gender, or education. This effect was significant for severe disabilities and marginally significant for minor disabilities. Additionally, the type of disability affected the probability of being unemployed, with cardiovascular diseases, mental illnesses, and musculoskeletal disorders carrying a higher risk. In terms of job-seeking behavior, unemployed people with disabilities reported using some job search methods more frequently than their non-disabled counterparts. However, the intensity of the job search did not differ significantly between the two groups. Further differences were found when analyzing the reasons for abstinence from searching for a job, with unemployed people with disabilities primarily citing health-related factors (with a frequency of over 90%). In summary, health played a pivotal role in determining disabled people's labor market experiences during the COVID-19 pandemic.
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Affiliation(s)
- Karsten Ingmar Paul
- School of Business, Economics, and Society, Friedrich-Alexander Universität Erlangen-Nürnberg, 90403 Nürnberg, Germany
| | - Alfons Hollederer
- Department of Social Work and Social Welfare, The Faculty of Human Sciences (FB 01), University of Kassel, 34127 Kassel, Germany;
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8
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Minguito G, Banluta J. Risk management in humanitarian supply chain based on FMEA and grey relational analysis. SOCIO-ECONOMIC PLANNING SCIENCES 2023; 87:101551. [PMID: 37255588 PMCID: PMC9995317 DOI: 10.1016/j.seps.2023.101551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 12/12/2022] [Accepted: 02/22/2023] [Indexed: 06/01/2023]
Abstract
The COVID-19 pandemic has disrupted the humanitarian supply chain management (HSCM) necessary for delivering emergency items during the disaster. The combined effects of climate change and the pandemic uncover the vulnerabilities of humanitarian supply chain operations and highlight the importance of risk management. This study aimed to identify priority risk factors and proposed mitigating risk strategies of a local government that is at the forefront of relief operations. It used Grey Relational Analysis (GRA) method to validate the Failure Mode and Effect Analysis (FMEA) approach in identifying priority issues relating to the supply chain risks. This paper reveals that the results of FMEA and GRA are almost similar.
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9
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Alwan SY, Hu Y, Al Asbahi AAMH, Al Harazi YK, Al Harazi AK. Sustainable and resilient e-commerce under COVID-19 pandemic: a hybrid grey decision-making approach. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:47328-47348. [PMID: 36738419 PMCID: PMC9899112 DOI: 10.1007/s11356-023-25456-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
E-commerce saw a paradigm shift during COVID. Consumers turned to online shopping when pandemic lockdowns caused brick-and-mortar stores to shut for extended periods. Although the pandemic drove more buyers online, it had negative impacts that affected e-commerce performance. This study assesses both positive and negative impacts and their relative significance. The findings are then used to prioritize different strategies for e-commerce development in four vibrant Middle Eastern economies: United Arab Emirates, Saudi Arabia, Qatar, and Kuwait. The study employs a hybrid approach incorporating grey analytical hierarchy process (GAHP) and grey relational analysis (GRA). The GAHP evaluates the relative significance of impacts, whereas the GRA ranks the strategies. The study is based on the responses from 36 local e-commerce specialists. The findings revealed that the supply chain disruption was a rather significant factor, and that "expanding supplier base" was a top-ranked strategy. The study suggests that increasing market share of e-commerce will necessitate the improvement of the supply chains, including the expansion of the supply base, as well as the establishment of sustainable supply chains. In addition to that, the moment has come to implement meaningful changes, such as digital transformation of supply chains, in order to fulfil customer expectations.
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Affiliation(s)
- Saleh Yahya Alwan
- College of Economics and Management, Northeast Forestry University, Harbin, China
| | - Yanying Hu
- College of Economics and Management, Northeast Forestry University, Harbin, China
| | | | | | - Ahmed Khaled Al Harazi
- School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China
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10
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Pahwa A, Jaller M. Assessing last-mile distribution resilience under demand disruptions. TRANSPORTATION RESEARCH. PART E, LOGISTICS AND TRANSPORTATION REVIEW 2023; 172:103066. [PMID: 36844256 PMCID: PMC9938363 DOI: 10.1016/j.tre.2023.103066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 12/08/2022] [Accepted: 02/05/2023] [Indexed: 06/18/2023]
Abstract
The COVID-19 pandemic led to a significant breakdown of the traditional retail sector resulting in an unprecedented surge in e-commerce demand for the delivery of essential goods. Consequently, the pandemic raised concerns pertaining to e-retailers' ability to maintain and efficiently restore level of service in the event of such low-probability high-severity market disruptions. Thus, considering e-retailers' role in the supply of essential goods, this study assesses the resilience of last-mile distribution operations under disruptions by integrating a Continuous Approximation (CA) based last-mile distribution model, the resilience triangle concept, and the Robustness, Redundancy, Resourcefulness, and Rapidity (R4) resilience framework. The proposed R4 Last Mile Distribution Resilience Triangle Framework is a novel performance-based qualitative-cum-quantitative domain-agnostic framework. Through a set of empirical analyses, this study highlights the opportunities and challenges of different distribution/outsourcing strategies to cope with disruption. In particular, the authors analyzed the use of an independent crowdsourced fleet (flexible service contingent on driver availability); the use of collection-point pickup (unconstrained downstream capacity contingent on customer willingness to self-collect); and integration with a logistics service provider (reliable service with high distribution costs). Overall, this work recommends the e-retailers to create a suitable platform to ensure reliable crowdsourced deliveries, position sufficient collection-points to ensure customer willingness to self-collect, and negotiate contracts with several logistics service providers to ensure adequate backup distribution.
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Affiliation(s)
- Anmol Pahwa
- Department of Civil and Environmental Engineering, University of California, One Shields Ave, Davis, CA 95616, USA
| | - Miguel Jaller
- Department of Civil and Environmental Engineering, Sustainable Freight Research Program, Institute of Transportation Studies, University of California, One Shields Ave, Davis, CA 95616, USA
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11
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Shahid MI, Hashim M, Baig SA, Manzoor U, Rehman HU, Fatima F. Managing supply chain risk through supply chain integration and quality management culture. SUPPLY CHAIN FORUM 2023. [DOI: 10.1080/16258312.2023.2178814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
Affiliation(s)
| | - Muhammad Hashim
- Faisalabad Business School, National Textile University, Faisalabad, Pakistan
| | - Sajjad Ahmad Baig
- Faisalabad Business School, National Textile University, Faisalabad, Pakistan
| | - Umair Manzoor
- Faisalabad Business School, National Textile University, Faisalabad, Pakistan
| | - Hakeem Ur Rehman
- Institute of Quality and Technology Management, University of the Punjab, Pakistan
| | - Fariha Fatima
- Faisalabad Business School, National Textile University, Faisalabad, Pakistan
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12
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Çetindaş A, Akben İ, Özcan C, Kanuşağı İ, Öztürk O. The effect of supply chain agility on firm performance during COVID-19 pandemic: the mediating and moderating role of demand stability. SUPPLY CHAIN FORUM 2023. [DOI: 10.1080/16258312.2023.2167465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Ahmet Çetindaş
- Faculty of Economics Administrative and Social Sciences, Department of International Trade and Logistics, Hasan Kalyoncu University, Gaziantep, Turkey
| | - İbrahim Akben
- Faculty of Economics Administrative and Social Sciences, Department of International Trade and Logistics, Hasan Kalyoncu University, Gaziantep, Turkey
| | - Can Özcan
- Faculty of Economics Administrative and Social Sciences, Department of International Trade and Logistics, Hasan Kalyoncu University, Gaziantep, Turkey
| | - İlhan Kanuşağı
- Faculty of Economics Administrative and Social Sciences, Department of International Trade and Logistics, Hasan Kalyoncu University, Gaziantep, Turkey
| | - Oya Öztürk
- Faculty of Economics Administrative and Social Sciences, Department of International Trade and Logistics, Hasan Kalyoncu University, Gaziantep, Turkey
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13
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Rana JA, Jani SY. An integrated Industry 4.0-Sustainable Lean Six Sigma framework to improve supply chain performance: a decision support study from COVID-19 lessons. JOURNAL OF GLOBAL OPERATIONS AND STRATEGIC SOURCING 2023. [DOI: 10.1108/jgoss-04-2022-0032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Purpose
The COVID-19 pandemic era has severely hampered the economy over the globe. However, the manufacturing organizations across all the countries have struggled heavily, as they were among the least who worked on online mode. The organizations are adopting various innovative quality methodologies to improve their performance. In this regard, they are adopting the Sustainable Lean Six Sigma (SLSS) concept and Industry 4.0 technologies to develop products at a faster rate. The use of Industry 4.0 technologies may reduce material movement and supply chain disruptions with the help of smart intelligent systems. There is a strong synergy between SLSS and Industry 4.0 technologies, resulting in an integrated approach for adoption. This study aims to develop a framework that practitioners can use to adopt Industry 4.0-SLSS practices effectively.
Design/methodology/approach
This study portrays 31 Industry 4.0-SLSS practices and 22 performance metrics identified through a literature review to improve the manufacturing supply chain performance. To compute the weights of these practices, the Robust Best–Worst Method (RBWM) is used. The Pythagorean fuzzy combined compromise solution (PF-CoCoSo) method is used to rank performance metrics.
Findings
According to the RBWM results, “Process Development Practices (PDP)” are first among the major criteria, followed by “Organizational Management Practices (OMP)” at second, “Technology Adoption Practices (TAP)” at third, “Strategy Management Practices (SMP)” at fourth and “Executive Management Practices (EMP)” at fifth, whereas the PF-CoCoSo method resulted in the performance metric “On time product delivery” ranking first.
Research limitations/implications
The identified practices have the potential to significantly improve the performance of the manufacturing supply chain. Practices that encourage a sustainable manufacturing supply chain and the usage of emerging technology will benefit organizational effectiveness. Managers can assess performance using prioritized performance metrics.
Originality/value
During the COVID-19 pandemic era, this is one of the unique attempts to provide a framework to improve the manufacturing supply chain performance. This study integrates and identifies Industry 4.0-SLSS practices and performance metrics for enhancing overall performance.
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14
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Cardoso BDFO, Fontainha TC, Leiras A. Looking back and forward to disaster readiness of supply chains: a systematic literature review. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS 2023. [DOI: 10.1080/13675567.2023.2165052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
| | | | - Adriana Leiras
- Industrial Engineering Department, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil
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15
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Elbarky SA, Elgamal S, Hamdi R, Barakat MR. Green supply chain: the impact of environmental knowledge on green purchasing intention. SUPPLY CHAIN FORUM 2023. [DOI: 10.1080/16258312.2022.2164164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Sahar Abd Elbarky
- Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt
| | - Sarah Elgamal
- Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt
| | - Rawan Hamdi
- Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt
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16
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Chen X, He C, Chen Y, Xie Z. Internet of Things (IoT)—blockchain-enabled pharmaceutical supply chain resilience in the post-pandemic era. FRONTIERS OF ENGINEERING MANAGEMENT 2023; 10:82-95. [PMCID: PMC9755778 DOI: 10.1007/s42524-022-0233-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 09/16/2022] [Indexed: 06/17/2023]
Abstract
During the COVID-19 pandemic, the current operating environment of pharmaceutical supply chain (PSC) has rapidly changed and faced increasing risks of disruption. The Internet of Things (IoT) and blockchain not only help enhance the efficiency of PSC operations in the information technology domain but also address complex related issues and improve the visibility, flexibility, and transparency of these operations. Although IoT and blockchain have been widely examined in the areas of supply chain and logistics management, further work on PSC is expected by the public to enhance its resilience. To respond to this call, this paper combines a literature review with semi-structured interviews to investigate the characteristics of PSC, the key aspects affecting PSC, and the challenges faced by PSC in the post-pandemic era. An IoT–blockchain-integrated hospital-side oriented PSC management model is also developed. This paper highlights how IoT and blockchain technology can enhance supply chain resilience and provides a reference on how PSC members can cope with the associated risks.
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Affiliation(s)
- Xiaohong Chen
- School of Frontier Crossover Studies, Hunan University of Technology and Business, Changsha, 410205 China
- School of Business, Central South University, Changsha, 410083 China
| | - Caicai He
- School of Frontier Crossover Studies, Hunan University of Technology and Business, Changsha, 410205 China
| | - Yan Chen
- School of Frontier Crossover Studies, Hunan University of Technology and Business, Changsha, 410205 China
- School of Business, Central South University, Changsha, 410083 China
| | - Zhiyuan Xie
- School of Digital Media and Humanities, Hunan University of Technology and Business, Changsha, 410205 China
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17
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Majumdar A, Agrawal R, Raut RD, Narkhede BE. Two years of COVID-19 pandemic: Understanding the role of knowledge-based supply chains towards resilience through bibliometric and network analyses. OPERATIONS MANAGEMENT RESEARCH 2022. [PMCID: PMC9750840 DOI: 10.1007/s12063-022-00328-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Coronavirus disease (COVID-19) catastrophically disrupted most of the global supply chains (SC). Knowledge-based SC can cope with the pandemic disruptions by the efficient use of data, information, knowledge, human intelligence and emerging technologies. This article aims to critically analyse the SC research during the two years of COVID-19 pandemic to understand the role of knowledge-based supply chain towards SC resilience. A review of the 281 shortlisted articles is presented, along with bibliometric and network analyses in order to create an intellectual map of the domain and to identify the emerging knowledge themes. Bibliometric analysis reveals that the knowledge focus during this short span has migrated from COVID-19 pandemic to SC risk management and finally to risk mitigation strategies. The network analysis identifies five emerging knowledge themes, namely impact of COVID-19 on SC; SC risk mitigation and resilience; supply chain viability; sustainable SC strategies; and food SC. This review also elucidates the strategies to mitigate COVID-19 disruptions for incorporating resilience in SC. Future research directions for a knowledge-based sustainable-leagile-resilient (S-leagilient) supply chain have also been propounded.
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Affiliation(s)
- Abhijit Majumdar
- Department of Textile and Fibre Engineering, Indian Institute of Technology Delhi, New Delhi, India
| | - Rohit Agrawal
- Operations Management and Quantitative Techniques, Indian Institute of Management, Bodh Gaya, India
| | - Rakesh D. Raut
- Operations and Supply Chain Management, National Institute of Industrial Engineering (NITIE), Mumbai, Maharashtra India
| | - Balkrishna E. Narkhede
- Operations and Supply Chain Management, National Institute of Industrial Engineering (NITIE), Mumbai, Maharashtra India
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18
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Bridging the research-practice gap in supply chain risks induced by the COVID-19. BENCHMARKING-AN INTERNATIONAL JOURNAL 2022. [DOI: 10.1108/bij-02-2022-0111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
PurposeThis study aims to explore the gap between research and practice on supply chain risks due to COVID-19 by exploring the changes in global emphasis on supply chain risk research.Design/methodology/approachThis work designed a research framework to compare the research of supply chain risks before and during the COVID-19 pandemic based on machining learning and text clustering and using the relevant publications of the web of science database.FindingsThe results show that scholars' attention to supply chain crisis has increased in the wake of the COVID-19 outbreak, but there are differences among countries. The United Kingdom, India, Australia, the USA and Italy have greatly increased their emphasis on risk research, while the supply chain risk research growth rate in other countries, including China, has been lower than the global level. Compared with the pre-pandemic period, the research of business finance, telecommunications, agricultural economics policy, business and public environmental occupational health increased significantly during the pandemic. The hotspots of supply chain risk research have changed significantly during the pandemic, focusing on routing problem, organizational performance, food supply chain, dual-channel supply chain, resilient supplier selection, medical service and machine learning.Research limitations/implicationsThis study has limitations in using a single database.Social implicationsThis work compared the changes in global and various countries' supply chain risk research before and during the pandemic. On the one hand, it helps to judge the degree of response of scholars to the global supply chain risk brought about by COVID-19. On the other hand, it is beneficial for supply chain practitioners and policymakers to gain an in-depth understanding of the relationship between the COVID-19 pandemic and supply chain risk, which might provide insights into not only addressing the supply chain risk but also the recovery of the supply chain.Originality/valueThe initial exploration of the changing extent of supply chain risk research in the context of COVID-19 provided in this paper is a unique and earlier attempt that extends the findings of the existing literature. Secondly, this research provides a feasible analysis strategy for supply chain risk research, which provides a direction and paradigm for exploring more effective supply chain research to meet the challenges of COVID-19.
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19
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Nikoubin A, Mahnam M, Moslehi G. A relax-and-fix Pareto-based algorithm for a bi-objective vaccine distribution network considering a mix-and-match strategy in pandemics. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.109862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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20
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Salisu AA, Sikiru AA, Omoke PC. COVID-19 pandemic and financial innovations. QUALITY & QUANTITY 2022; 57:1-20. [PMID: 36249709 PMCID: PMC9540164 DOI: 10.1007/s11135-022-01540-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 09/22/2022] [Indexed: 11/22/2022]
Abstract
This study is motivated around the COVID-19 pandemic as a source of rising financial market risks. Hence, we investigate whether pandemic-induced risks can be hedged by alternative investment in financial innovations captured in exchange traded funds (ETFs). We explore the hedging effectiveness of sectoral ETFs along with a battery of robustness measures. Following the predictability analyses, we find that financial innovations captured in ETFs can effectively hedge both pandemic-induced and financially engineered market risks especially after controlling for the role of oil price in the predictive model. Our model provides better in-sample and out-of-sample forecasting accuracy and economic gains than the benchmark model and this is more pronounced for the COVID-19 pandemic period.
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Affiliation(s)
- Afees A. Salisu
- Centre for Econometrics and Applied Research, Ibadan, Nigeria
- Department of Economics, University of Pretoria, Private Bag X20, Hatfield, 0028 South Africa
| | | | - Philip C. Omoke
- Department of Economics and Development Studies, Alex Ekwueme Federal University, Ndufu Alike Ikwo, Ebonyi State Nigeria
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21
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Lazar S, Potočan V, Klimecka-Tatar D, Obrecht M. Boosting Sustainable Operations with Sustainable Supply Chain Modeling: A Case of Organizational Culture and Normative Commitment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191711131. [PMID: 36078853 PMCID: PMC9518123 DOI: 10.3390/ijerph191711131] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 06/01/2023]
Abstract
The importance of sustainability in supply chain management is growing worldwide. It is possible to find reasons for this using various phenomena that negatively affect humanity, e.g., climate change, scarce materials, supply disruptions, and complex fossil fuel dependency. Because of that, is extremely important to constantly look for new ways to systematically increase sustainability in enterprises and their logistics and supply chain processes by considering different stakeholders and influential factors. Therefore, this paper explores how different types of organizational culture and normative commitment impact sustainability and each other in business logistics and supply chains and develops a conceptual model to manage this challenge. Gaining new insights is valuable especially for managers to obtain better information on how to improve sustainability not just by integrating green technologies but mainly by changing culture, attitude, and perception in their enterprises. The research is focused on employees from global logistics or related branches in micro, small, medium, and large enterprises with the primary activity mostly related to manufacturing, transport, and storage. The findings are based on the questionnaire which was sent directly to 1576 employees from 528 enterprises. A total of 516 employees from enterprises that are mostly located in 34 countries responded to requests for participation. The results reveal statistically significant positive and negative impacts, e.g., clan culture has a positive statistically significant impact on the sustainable development of supply chains. Most of the connections to the eighth Sustainable Development Goal by the United Nations (decent work and economic growth) were also found, which was the enterprise's highest priority with a share of 52.99%. A contribution to the theory development is gained using the developed model that considers both positive and negative statistically significant impacts studied.
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Affiliation(s)
- Sebastjan Lazar
- Faculty of Logistics, University of Maribor, Mariborska Cesta 7, 3000 Celje, Slovenia
| | - Vojko Potočan
- Faculty of Economics and Business, University of Maribor, Razlagova 14, 2000 Maribor, Slovenia
| | - Dorota Klimecka-Tatar
- Faculty of Management, Czestochowa University of Technology, Al. Armii Krajowej 19b, 42-200 Czestochowa, Poland
| | - Matevz Obrecht
- Faculty of Logistics, University of Maribor, Mariborska Cesta 7, 3000 Celje, Slovenia
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22
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Nyawa S, Tchuente D, Fosso-Wamba S. COVID-19 vaccine hesitancy: a social media analysis using deep learning. ANNALS OF OPERATIONS RESEARCH 2022:1-39. [PMID: 35729983 PMCID: PMC9202977 DOI: 10.1007/s10479-022-04792-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 05/17/2022] [Indexed: 06/15/2023]
Abstract
Hesitant attitudes have been a significant issue since the development of the first vaccines-the WHO sees them as one of the most critical global health threats. The increasing use of social media to spread questionable information about vaccination strongly impacts the population's decision to get vaccinated. Developing text classification methods that can identify hesitant messages on social media could be useful for health campaigns in their efforts to address negative influences from social media platforms and provide reliable information to support their strategies against hesitant-vaccination sentiments. This study aims to evaluate the performance of different machine learning models and deep learning methods in identifying vaccine-hesitant tweets that are being published during the COVID-19 pandemic. Our concluding remarks are that Long Short-Term Memory and Recurrent Neural Network models have outperformed traditional machine learning models on detecting vaccine-hesitant messages in social media, with an accuracy rate of 86% against 83%.
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Affiliation(s)
- Serge Nyawa
- Department of Information, Operations and Management Sciences, TBS Business School, 1 Place Alphonse Jourdain, 31068 Toulouse, France
| | - Dieudonné Tchuente
- Department of Information, Operations and Management Sciences, TBS Business School, 1 Place Alphonse Jourdain, 31068 Toulouse, France
| | - Samuel Fosso-Wamba
- Department of Information, Operations and Management Sciences, TBS Business School, 1 Place Alphonse Jourdain, 31068 Toulouse, France
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23
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Organizational and Supply Chain Impacts of 3D Printers Implementation in the Medical Sector. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127057. [PMID: 35742306 PMCID: PMC9222601 DOI: 10.3390/ijerph19127057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 06/03/2022] [Accepted: 06/07/2022] [Indexed: 02/05/2023]
Abstract
3D printing application extends to various sectors, such as aerospace, construction, art, domestic, up to healthcare. It is in this domain that its adoption could offer technological solutions aimed at improving the individual life and guaranteeing organizational effectiveness. The aim of this study is to understand the way in which the adoption of medical 3D printers has introduced economic-business changes at the supply chain, organizational and environmental level within business processes considering the point of view of 3D printer manufacturers. A multiple case study has been developed, through the administration of a semi-structured interview to 7 Italian companies that design, manufacture and sell 3D printers offering additive technological solutions to the medical sector. The results show how companies believe that the organizational impact related to the adoption of this technology is quite significant, highlighting how it leads to the definition of a new organizational culture. Secondly, it emerges that the adoption of 3D printers within the medical sector also leads to a change in procedures and production activities. Finally, it also emerges that the impact at the supply chain level particularly affects the reduction in the number of players in the supply chain and product time to market.
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24
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Moosavi J, Fathollahi-Fard AM, Dulebenets MA. Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION : IJDRR 2022; 75:102983. [PMID: 35475018 PMCID: PMC9027543 DOI: 10.1016/j.ijdrr.2022.102983] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 02/20/2022] [Accepted: 04/19/2022] [Indexed: 05/25/2023]
Abstract
The COVID-19 pandemic has made a significant impact on various supply chains (SCs). All around the world, the COVID-19 pandemic affects different dimensions of SCs, including but not limited to finance, lead time, demand changes, and production performance. There is an urgent need to respond to this grand challenge. The catastrophic impact of the COVID-19 pandemic prompted scholars to develop innovative SC disruption management strategies and disseminate them via numerous scientific articles. However, there is still a lack of systematic literature survey studies that aim to identify promising SC disruption management strategies through the bibliometric, network, and thematic analyses. In order to address this drawback, this study presents a set of up-to-date bibliometric, network, and thematic analyses to identify the influential contributors, main research streams, and disruption management strategies related to the SC performance under the COVID-19 settings. The conducted analyses reveal that resilience and sustainability are the primary SC topics. Furthermore, the major research themes are found to be food, health-related SCs, and technology-aided tools (e.g., artificial intelligence (AI), internet of things (IoT), and blockchains). Various disruption management strategies focusing on resilience and sustainability themes are extracted from the most influential studies that were identified as a part of this work. In addition, we draw some managerial insights to ensure a resilient and sustainable supply of critical products in the event of a pandemic, such as personal protective equipment (PPE) and vaccines.
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Affiliation(s)
- Javid Moosavi
- School of the Built Environment, University of Technology Sydney, Sydney, Australia
| | - Amir M Fathollahi-Fard
- Department of Electrical Engineering, École de Technologie Supérieure, University of Quebec, 1100 Notre-Dame St. W., Montreal, Quebec, Canada
| | - Maxim A Dulebenets
- Department of Civil & Environmental Engineering, Florida A&M University-Florida State University (FAMU-FSU) College of Engineering, 2035 E Paul Dirac Dr., Sliger Building, Suite 275, Tallahassee, FL, 32310, USA
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25
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Qrunfleh S, Vivek S, Merz R, Mathivathanan D. Mitigation themes in supply chain research during the COVID-19 pandemic: a systematic literature review. BENCHMARKING-AN INTERNATIONAL JOURNAL 2022. [DOI: 10.1108/bij-11-2021-0692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe purpose of this paper is to understand the themes and direction of supply chain mitigation and resilience research during the COVID-19 pandemic by conducting a systematic literature review (SLR) of supply chain mitigation literature since pandemic.Design/methodology/approachThis study uses the Web of Science (WoS) Database to analyze the contribution in supply chain mitigation literature by authors, themes in supply chain mitigation and the citing articles. An investigation based on bibliometric approach for the SLR represents the bibliographic data of over 530 publications between the years 2020–2021. Additionally, the article also develops graphical visualizations of the bibliographic data analyzed using the R-program Bibliometrix to ascertain the top sources, authors, keywords and conceptual themes.FindingsMost strategies in the existing literature focused on reactive approaches to supply chain disruption and current mitigation literature has not evolved in parallel to the changing macro environment leaving a wide gap in considering vaccines as a supply chain mitigation strategy. Hence, this study identifies the potential need to focus on building proactive supply chain mitigation strategies preferably by studying the role of vaccines in mitigating supply chains.Practical implicationsThis article helps the reader to understand the scientific research in terms of contributions in supply chain mitigation research since pandemic. Though, the time frame considered limits the connection the findings to previous work on supply chain disruptions and mitigation, it offers an understanding of the various mitigation themes evolved in light of mitigating the supply chain disruptions as one caused by the current pandemic. Further, this research helps us understand how businesses can help reduce the social consequences by preventing the disruptions and helping life normalize during this ongoing COVID-19 pandemic.Originality/valueThis is the first of its kind contribution offering a SLR of supply chain mitigation strategies during the COVID-19 pandemic identifying the focal themes in current literature and establishing the need for future venues of research studying the role of vaccines in supply chain mitigation strategies.
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26
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Abstract
The supply chain and its management are the hidden engines that drive the economy. The COVID-19 pandemic has precipitated an unprecedented sustained challenge to supply chain management around the world, which has highlighted the importance of research on the effects of COVID-19 on supply chain management. Most of the scholarly articles were mainly focused on content analysis to discuss aspects of the research related to COVID-19 and supply chain management. The literature reviews with the bibliometric method involving supply chain management in the COVID-19 context are still scarce. In this paper, we undertook a bibliometric analysis of the research on COVID-19 and supply chain management, finding a total of 257 papers published in 2020 and 2021 to determine the thematic direction of the related flourish of research. The analysis used a combination of bibliographic and network analysis to capture the direction the research has been taking. The study identified the most highly productive authors, prominent journals, and geographic centers of publications about this phenomenon. It also examined networks related to co-authorship, countries of collaboration, co-citations and highly cited authors, and co-wording. The examination identified four thematic clusters, comprised of the impact of the COVID-19 pandemic on supply chains, the improvement of supply chain resilience for viability, technology and innovation for supply chain sustainability, and supply chain risk management in response to COVID-19. These findings support the need for further investigation into supply chain management, the impact of the COVID-19 pandemic on supply chains, and, more broadly, supply chain resilience.
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27
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Dohale V, Verma P, Gunasekaran A, Ambilkar P. COVID-19 and supply chain risk mitigation: a case study from India. INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT 2021. [DOI: 10.1108/ijlm-04-2021-0197] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
PurposeThis study prioritizes the supply chain risks (SCRs) and determines risk mitigation strategies (RMSs) for the Indian apparel industry to mitigate the shock of the COVID-19 pandemic disruption.Design/methodology/approachInitially, 23 SCRs within the apparel industry are identified through an extant literature review. Further, a fuzzy analytical hierarchy process (FAHP) is utilized to prioritize the SCRs considering the epidemic situations to understand the criticality of SCRs and determine appropriate RMSs to mitigate the shock of SCRs during COVID-19.FindingsThis study prioritized and ranked the SCRs within the Indian apparel industry based on their severity during the COVID-19 disruption. Results indicate that the demand uncertainty and pandemic disruption risks are the most critical. Based on the SCRs, the present work evaluated and suggested the flexibility and postponement mitigation strategies for the case under study.Research limitations/implicationsThis study has novel implications to the existing literature on supply chain risk management in the form of the FAHP framework. Supply chain practitioners from the other industrial sectors can extend the proposed FAHP framework to assess the SCRs and identify suitable mitigation strategies. The results aid the practitioners working in an apparel industry to benchmark and deploy the proposed RMSs in their firm.Originality/valueThe present study is a unique and earlier attempt to develop a quantitative framework using FAHP to evaluate and determine the risk mitigation strategy for managing the SCRs during the coronavirus epidemic.
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28
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Golan MS, Mahoney E, Trump B, Linkov I. Resilience and efficiency for the nanotechnology supply chains underpinning COVID-19 vaccine development. Curr Opin Chem Eng 2021; 34:100759. [PMID: 34722136 PMCID: PMC8549437 DOI: 10.1016/j.coche.2021.100759] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Nanotechnology facilitated the development and scalable commercialization of many SARS-CoV-2 vaccines. However, the supply chains underpinning vaccine manufacturing have demonstrated brittleness at various stages of development and distribution. Whereas such brittleness leaves the broader pharmacological supply chain vulnerable to significant and unacceptable disruption, strategies for supply chain resilience are being considered across government, academia, and industry. How such resilience is understood and parameterized, however, is contentious. Our review of the nanotechnology supply chain resilience literature, synthesized with the larger supply chain resilience literature, analyzes current trends in implementing and modeling resilience and recommendations for bridging the gap in the lack of quantitative models, consistent definitions, and trade-off analyses for nano supply chains.
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Affiliation(s)
- Maureen S Golan
- U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States
| | - Emerson Mahoney
- U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States
| | - Benjamin Trump
- U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States
| | - Igor Linkov
- U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States
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