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Qureshi KM, Mewada BG, Kaur S, Khan A, Al-Qahtani MM, Qureshi MRNM. Investigating industry 4.0 technologies in logistics 4.0 usage towards sustainable manufacturing supply chain. Heliyon 2024; 10:e30661. [PMID: 38770301 PMCID: PMC11103432 DOI: 10.1016/j.heliyon.2024.e30661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 04/13/2024] [Accepted: 05/01/2024] [Indexed: 05/22/2024] Open
Abstract
In the era of Industry 4.0 (I4.0), automation and data analysis have undergone significant advancements, greatly impacting production management and operations management. Technologies such as the Internet of Things (IoT), robotics, cloud computing (CC), and big data, have played a crucial role in shaping Logistics 4.0 (L4.0) and improving the efficiency of the manufacturing supply chain (SC), ultimately contributing to sustainability goals. The present research investigates the role of I4.0 technologies within the framework of the extended theory of planned behavior (ETPB). The research explores various variables including subjective norms, attitude, perceived behavior control, leading to word-of-mouth, and purchase intention. By modeling these variables, the study aims to understand the influence of I4.0 technologies on L4.0 to establish a sustainable manufacturing SC. A questionnaire was administered to gather input from small and medium-sized firms (SMEs) in the manufacturing industry. An empirical study along with partial least squares structural equation modeling (SEM), was conducted to analyze the data. The findings indicate that the use of I4.0 technology in L4.0 influences subjective norms, which subsequently influence attitudes and personal behavior control. This, in turn, leads to word-of-mouth and purchase intention. The results provide valuable insights for shippers and logistics service providers empowering them to enhance their performance and contribute to achieving sustainability objectives. Consequently, this study contributes to promoting sustainability in the manufacturing SC by stimulating the adoption of I4.0 technologies in L4.0.
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Affiliation(s)
- Karishma M. Qureshi
- Department of Mechanical Engineering, Parul Institute of Technology, Parul University, Waghodia, 391760, India
| | - Bhavesh G. Mewada
- Department of Mechanical Engineering, Parul Institute of Technology, Parul University, Waghodia, 391760, India
| | - Sumeet Kaur
- Area the Quantitative Techniques and Operations Management, FORE School of Management, New Delhi, 110016, India
| | - Adil Khan
- Design Department, Sayaji Tempo, Vadodara, Gujarat, 390010, India
| | - Muhammad Musa Al-Qahtani
- Department of Industrial Engineering, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
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Gao M, Chen Y. Get the win-win: Sustainable circular model of 'generation-value-technology' of industrial solid waste management. WASTE MANAGEMENT & RESEARCH : THE JOURNAL OF THE INTERNATIONAL SOLID WASTES AND PUBLIC CLEANSING ASSOCIATION, ISWA 2024; 42:191-205. [PMID: 37387197 DOI: 10.1177/0734242x231184446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/01/2023]
Abstract
The management of industrial solid waste (ISW) and promoting sustainable circular development of the industrial economy is an urgent priority today. Therefore, this article constructs a sustainable circular model of 'generation-value-technology' of ISW management through the lens of industrial added value (IAV) and technology level. Also, the importance of the role of government is considered in the model. Based on actual data of China, this article simulates the future trend of the model using a system dynamics approach. The chief findings of the study are as follows: (1) under the current policy, China's future industrialization is increasing and the technological level of industrial enterprises is rising, but this is accompanied by a climb in ISW generation. (2) The win-win situation of ISW decrease and IAV increase can be achieved through enhanced information disclosure, technology innovation and government incentives. (3) Government subsidy should be oriented towards supporting technology innovation in industrial enterprises while reducing the proportion of incentives for ISW management results. Based on the results, this study proposes targeted policy implications for government and industrial enterprises.
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Affiliation(s)
- Ming Gao
- School of Economics and Management, Fuzhou University, Fuzhou, China
- Fujian Green Development Research Institute, Fuzhou University, Fuzhou, China
| | - Yufan Chen
- School of Economics and Management, Fuzhou University, Fuzhou, China
- Fujian Green Development Research Institute, Fuzhou University, Fuzhou, China
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Muduli K, Luthra S, Garza-Reyes JA, Huisingh D. Application of blockchain technology for addressing reverse logistics challenges: current status and future opportunities. SUPPLY CHAIN FORUM 2023. [DOI: 10.1080/16258312.2023.2165279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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Lin CC, Yang Z, Chang CH. Facilitating adoption of virtual communities through emotional connection in the global logistics industry. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS 2022. [DOI: 10.1080/13675567.2022.2153815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Chi-Chang Lin
- Department of Transportation and Logistics, Feng Chia University, Taichung, Taiwan
| | - Zaili Yang
- Liverpool Logistics, Offshore and Marine Research Institute (LOOM), School of Engineering, Liverpool John Moores University, Liverpool, UK
| | - Chia-Hsun Chang
- Liverpool Logistics, Offshore and Marine Research Institute (LOOM), School of Engineering, Liverpool John Moores University, Liverpool, UK
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Cui Z, Wang J, Gao C, Dong S. Application research on China’s logistics network structure: an overview. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS 2022. [DOI: 10.1080/13675567.2022.2128094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Affiliation(s)
- Zhiwei Cui
- College of Transportation Engineering, Chang’an University, Xi’an, People’s Republic of China
- Engineering Research Center of Highway Infrastructure Digitalization, Ministry of Education of PRC, Chang’an University, Xi’an, People’s Republic of China
| | - Jianwei Wang
- College of Transportation Engineering, Chang’an University, Xi’an, People’s Republic of China
- Engineering Research Center of Highway Infrastructure Digitalization, Ministry of Education of PRC, Chang’an University, Xi’an, People’s Republic of China
| | - Chao Gao
- College of Transportation Engineering, Chang’an University, Xi’an, People’s Republic of China
- Engineering Research Center of Highway Infrastructure Digitalization, Ministry of Education of PRC, Chang’an University, Xi’an, People’s Republic of China
| | - Shi Dong
- College of Transportation Engineering, Chang’an University, Xi’an, People’s Republic of China
- Engineering Research Center of Highway Infrastructure Digitalization, Ministry of Education of PRC, Chang’an University, Xi’an, People’s Republic of China
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Sindhwani R, Behl A, Sharma A, Gaur J. What makes micro, small, and medium enterprises not adopt Logistics 4.0? A systematic and structured approach using modified-total interpretive structural modelling. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS 2022. [DOI: 10.1080/13675567.2022.2081672] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
| | | | | | - Jighyasu Gaur
- T A Pai Management Institute, Manipal Academy of Higher Education, Manipal, India
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Trakulsunti Y, Antony J, Jayaraman R, Tortorella G. The application of operational excellence methodologies in logistics: a systematic review and directions for future research. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 2022. [DOI: 10.1080/14783363.2022.2071695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Yaifa Trakulsunti
- Department of Industrial Management Technology and Logistics, Nakhon Si Thammarat Rajabhat University University, Nakhon Si Thammarat, Thailand
| | - Jiju Antony
- Department of Industrial and Systems Engineering, Khalifa University, Abu Dhabi, UAE
| | - Raja Jayaraman
- Department of Industrial and Systems Engineering, Khalifa University, Abu Dhabi, UAE
| | - Guilherme Tortorella
- School of Engineering, University of Melbourne Faculty of Science, Victoria, Australia
- Universidade Federal de Santa Catarina, Florianopolis, Brazil
- Department of Industrial Engineering, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Investigating the Integration of Industry 4.0 and Lean Principles on Supply Chain: A Multi-Perspective Systematic Literature Review. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12020586] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
The development of digital technologies in all aspects of human life leads to increasing the necessity for investigating them in the Supply Chain (SC) as the main channel to provide products. Moreover, Lean principles, with the aim of reducing wastes, could be one of the main research streams in SC in recent years. Therefore, it is valuable to figure out the mutual effects of Lean principles and digital technologies as two growing areas in SC. Previous works did not pay attention to investigating this relationship at the SC level and were more focused on the production level. However, the present work addresses this issue by conducting a multi-perspective Systematic Literature Review (SLR). Additionally, in the present SLR, the impact of individual Industry 4.0 technologies in relation to Lean principles was investigated from various SC perspectives. The results reveal the necessity of studying single SC processes in Lean Digital SC. Moreover, the applicability of each technology should be illustrated to alleviate SC operational and organizational issues. The results provide useful insights about applying single digital technologies as well as a combination of them to each SC process to solve specific issues.
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Ghiyasinasab M, Lahrichi N, Lehoux N. A simulation model to analyse automation scenarios in decontamination centers. Health Syst (Basingstoke) 2021; 12:181-197. [PMID: 37234464 PMCID: PMC10208212 DOI: 10.1080/20476965.2021.2004933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 11/05/2021] [Indexed: 10/19/2022] Open
Abstract
Decontamination centres provide sterilisation services (sort, disinfect, package, and sterilise) for reusable surgical instruments that have a vital impact on patient safety. The market trend is to increase the level of automation in the decontamination process, to increase productivity, and reduce the risk of human error and musculoskeletal injuries. The goal of this research is to study the use of automated guided vehicles (AGVs) in sterilisation departments, to improve safety and efficiency. A generic simulation model is created based on data gathering of various decontamination centres and is validated for a specific centre to analyse various aspects of applying AGVs to automate the internal transfer. Centre's potential to increase capacity through AGV application is analysed and a Design of Experiments is conducted to identify the most promising implementation scenarios. Results show reductions in treatment time and work in process, while ,maintaining the accessibility of medical instruments, and ensuring worker safety.
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Affiliation(s)
- Marzieh Ghiyasinasab
- Department of mathematics and industrial engineering, Polytechnique Montréal, Montréal, Canada
| | - Nadia Lahrichi
- Department of mathematics and industrial engineering, Polytechnique Montréal, Montréal, Canada
| | - Nadia Lehoux
- Department of mechanical engineering, Laval University, Québec, Canada
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Industry 4.0 Technologies and Their Impact in Contemporary Logistics: A Systematic Literature Review. SUSTAINABILITY 2021. [DOI: 10.3390/su132111643] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Even though the topic of Industry 4.0 in the last decade has attracted significant and multifarious attention from academics and practitioners, a structured and systematic review of Industry 4.0 in the context of contemporary logistics is currently lacking. This study attempted to address this shortcoming by performing a systematic review of the available literature of Industry 4.0 in the logistics context. To that end, and after a systematic inclusion/exclusion process, 65 carefully selected papers were addressed in the study. The results obtained from this study were illustrated and discussed in order to provide answers to two research questions pre-defined by the authors. In essence, this study identified emerging aspects and present trends in the area, addressed the main technological developments and evolution of Industry 4.0 and their impact for contemporary logistics, and finally pinpointed literature shortcomings and currently under-explored areas with a high potential for impactful future research. Findings of this review can hopefully be used as the basis for future research in the emerging Logistics 4.0 concept and related topics.
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Abstract
Following the spread of the Industry 4.0 paradigm, the role of digital technologies in manufacturing, especially in production and industrial logistics processes, has become increasingly pivotal. Although the push towards digitalization and processes interconnection can bring substantial benefits, it may also increase the complexity of processes in terms of integration and management. To fully exploit the potential of technology, companies are required to develop an in-depth knowledge of each operational activity and related human aspects in the contexts where technology solutions can be implemented. Indeed, analyzing the impacts of technology on human work is key to promoting human-centred smart manufacturing and logistics processes. Therefore, this paper aims at increasing and systematizing knowledge about technologies supporting internal logistics working activities The main contribution of this paper is a taxonomy of the technologies that may be implemented in the different internal logistics areas to support a Logistics 4.0 model. Such a contribution is elaborated in accordance with a deductive approach (i.e., reasoning from the particular to the general), and backed up by an analysis of the literature. The taxonomy represents a useful framework to understand the current and possible technological implementations to drive logistics processes towards Logistics 4.0, with specific attention to the relation between human operators and technologies.
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