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Habibi F, Chakrabortty RK, Abbasi A. Towards facing uncertainties in biofuel supply chain networks: a systematic literature review. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:100360-100390. [PMID: 37659016 PMCID: PMC10542739 DOI: 10.1007/s11356-023-29331-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 08/09/2023] [Indexed: 09/05/2023]
Abstract
Biofuel supply chains (BSCs) face diverse uncertainties that pose serious challenges. This has led to an expanding body of research focused on studying these challenges. Hence, there is a growing need for a comprehensive review that summarizes the current studies, identifies their limitations, and provides essential advancements to support scholars in the field. To overcome these limitations, this research aims to provide insights into managing uncertainties in BSCs. The review utilizes the Systematic Reviews and Meta-Analyses (PRISMA) method, identifying 205 papers for analysis. This study encompasses three key tasks: first, it analyses the general information of the shortlisted papers. Second, it discusses existing methodologies and their limitations in addressing uncertainties. Lastly, it identifies critical research gaps and potential future directions. One notable gap involves the underutilization of machine learning techniques, which show potential for risk identification, resilient planning, demand prediction, and parameter estimations in BSCs but have received limited attention. Another area for investigation is the potential of agent-based simulation, which can contribute to analysing resilient policies, evaluating resilience, predicting parameters, and assessing the impact of emerging technologies on BSC resilience in the twenty-first century. Additionally, the study identifies the omission of various realistic assumptions, such as backward flow, lateral transshipments, and ripple effects in BSC. This study highlights the complexity of managing uncertainties in BSCs and emphasizes the need for further research and attention. It contributes to policymakers' understanding of uncertain sources and suitable approaches while inspiring researchers to address limitations and generate breakthrough ideas in managing BSC uncertainties.
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Affiliation(s)
- Farhad Habibi
- School of Systems and Computing, UNSW Canberra, Canberra, ACT-2610 Australia
| | | | - Alireza Abbasi
- School of Systems and Computing, UNSW Canberra, Canberra, ACT-2610 Australia
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2
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Wang L, Cheng Y, Wang Z. Risk management in sustainable supply chain: a knowledge map towards intellectual structure, logic diagram, and conceptual model. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:66041-66067. [PMID: 35915306 PMCID: PMC9342943 DOI: 10.1007/s11356-022-22255-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 07/22/2022] [Indexed: 05/21/2023]
Abstract
The global spread of COVID-19, international trade protectionism, geopolitical conflicts, and climate change presents challenges and risks to sustainable supply chains (SSCs). In recent years, scholarly interest in sustainable supply chain risk management (SSCRM) has continued to rise. A helpful literature review is necessary to enable supply chain practitioners to apply empirical findings from academic research or conceptual frameworks to their operations to maintain the stability and competitiveness of sustainable supply chains. The knowledge map of SSCRM is explored in this study using both quantitative and qualitative analysis. A total of 793 articles were retrieved to reveal the knowledge map of SSCRM. Scientometric and context analysis are combined in quantitative analysis to identify the intellectual structure of risk management research related to SSC. Then, a critical review is conducted in qualitative analysis to summarize and analyze the motivations, strategies, approaches, and tools of SSCRM. Combining the quantitative and qualitative analysis results, a conceptual model is constructed for SSCRM from three aspects: (1) risk identification, (2) risk assessment, and (3) risk mitigating and responding. Finally, future research directions are suggested based on the conceptual model for guiding the theories and practice of SSCRM. This study can work as a roadmap for providing appropriate risk management policies and toolkits to SSC, which could advance theoretical thinking on how to mitigate SSC risks.
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Affiliation(s)
- Liang Wang
- School of Maritime Economics and Management, Dalian Maritime University, Dalian, 116026 China
| | - Yiming Cheng
- School of Maritime Economics and Management, Dalian Maritime University, Dalian, 116026 China
| | - Zeyu Wang
- School of Management, Guangzhou University, Guangzhou, 150001 China
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3
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Salçuk K, Şahin C. A novel multi-objective optimization model for sustainable supply chain network design problem in closed-loop supply chains. Neural Comput Appl 2022. [DOI: 10.1007/s00521-022-07668-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
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4
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Mina D, Hadi S, Jalal A. The incorporated environmental policies and regulations into bioenergy supply chain management: A literature review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 820:153202. [PMID: 35063527 DOI: 10.1016/j.scitotenv.2022.153202] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/11/2022] [Accepted: 01/13/2022] [Indexed: 06/14/2023]
Abstract
Bioenergy, a means to reach a sustainable economy, is being driven by governments by devising incremental regulations and more instrumental policies in parallel. These constant-changing regulations bring uncertainty to bioenergy supply chain optimization problems. An increasing number of recent studies on bioenergy supply chain optimization addressing environmental concerns have highlighted the need for an overview indispensable. The purpose of this paper is to present a review of the incorporated policies and regulations and to examine whether constraints or targets set by governments are fully met in optimizing of bioenergy supply chains. To this end, first, bioenergy policies and regulations enacted in the EU, the global leader in the energy transition, as a benchmark are reviewed based on the bioenergy supply chain steps. Then, the optimization problems employing policies and regulations are classified and discussed. The review reveals visible gaps between what policies demand and what is proposed in the literature, and underpin the regulations which need to be considered in future work. Examination of the literature also suggests that a globally drawn standard may lead to better bioenergy supply chain development considering other green energy developments. Our key finds are.
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Affiliation(s)
- Daneshmandi Mina
- School of Industrial Engineering at Iran University of Science and Technology, Iran
| | - Sahebi Hadi
- School of Industrial Engineering at Iran University of Science and Technology, Iran.
| | - Ashayeri Jalal
- TIAS - School for Business & Society, Tilburg University, Utrecht Campus, the Netherlands.
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5
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Stellingwerf HM, Guo X, Annevelink E, Behdani B. Logistics and Supply Chain Modelling for the Biobased Economy: A Systematic Literature Review and Research Agenda. FRONTIERS IN CHEMICAL ENGINEERING 2022. [DOI: 10.3389/fceng.2022.778315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
One way to mitigate the negative impacts of climate change, is for society to move towards a biobased economy, where fossil resources are replaced by biobased ones. This replacement requires the development of biobased supply chains that differ significantly from the conventional supply chain. For example, seasonality and variability of the feedstocks create specific challenges for biobased systems and call for customized solutions for the design and operation of biobased chains. As a result, the modelling efforts to support decision-making processes for biobased logistics and supply chains have some different requirements. This paper presents a systematic literature review on logistics and supply chain modelling studies for the biobased economy published in a period of 2011–2020. The literature analysis shows that most modelling studies for the biobased economy are strategic optimization models aiming to minimize economic impact. As biomass source, forest and agricultural residues are mostly used, and fuel and energy are the most common biobased applications. Modelling strategies, biomass sources and applications are however diversifying, which is what we encourage for future research. Also, not only focusing on economic optimization but also optimizing social and environmental performance is an important future research direction, to deal with the sustainability challenges the world is facing.
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6
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O'Neill EG, Martinez-Feria RA, Basso B, Maravelias CT. Integrated Spatially Explicit Landscape and Cellulosic Biofuel Supply Chain Optimization Under Biomass Yield Uncertainty. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107724] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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7
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Sajid Z. A dynamic risk assessment model to assess the impact of the coronavirus (COVID-19) on the sustainability of the biomass supply chain: A case study of a U.S. biofuel industry. RENEWABLE & SUSTAINABLE ENERGY REVIEWS 2021; 151:111574. [PMID: 34413696 PMCID: PMC8363463 DOI: 10.1016/j.rser.2021.111574] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 07/04/2021] [Accepted: 08/06/2021] [Indexed: 06/13/2023]
Abstract
The novel coronavirus (COVID-19) is highly detrimental, and its death distribution peculiarity has severely affected people's health and the operations of businesses. COVID-19 has wholly undermined the global economy, including inflicting significant damage to the ever-emerging biomass supply chain; its sustainability is disintegrating due to the coronavirus. The biomass supply chain must be sustainable and robust enough to adapt to the evolving and fluctuating risks of the market due to the coronavirus or any potential future pandemics. However, no such study has been performed so far. To address this issue, investigating how COVID-19 influences a biomass supply chain is vital. This paper presents a dynamic risk assessment methodological framework to model biomass supply chain risks due to COVID-19. Using a dynamic Bayesian network (DBN) formalism, the impacts of COVID-19 on the performance of biomass supply chain risks have been studied. The proposed model has been applied to the biomass supply chain of a U.S.-based Mahoney Environmental® company in Washington, USA. The case study results show that it would take one year to recover from the maximum damage to the biomass supply chain due to COVID-19, while full recovery would require five years. Results indicate that biomass feedstock gate availability (FGA) is 2%, due to pandemic and lockdown conditions. Due to the availability of vaccination and gradual business reopenings, this availability increases to 92% in the second year. Results also indicate that the price of fossil-based fuel will gradually increase after one year of the pandemic; however, the market prices of fossil-based fuel will not revert to pre-coronavirus conditions even after nine years. K-fold cross-validation is used to validate the DBN. Results of validation indicate a model accuracy of 95%. It is concluded that the pandemic has caused risks to the sustainability of biomass feedstock, and the current study can help develop risk mitigation strategies.
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Affiliation(s)
- Zaman Sajid
- Department of Business Administration, University of the People, 225 S. Lake Ave., Pasadena, CA, 91101, USA
- Department of Process Engineering, Faculty of Engineering & Applied Science, Memorial University of Newfoundland, St. John's, N.L., A1B 3X5, Canada
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8
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Samani MRG, Hosseini-Motlagh SM. A mixed uncertainty approach to design a bioenergy network considering sustainability and efficiency measures. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107305] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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9
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Liu B, Yuan Z. Multistage Distributionally Robust Design of a Renewable Source Processing Network under Uncertainty. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c00446] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Botong Liu
- The State Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
| | - Zhihong Yuan
- The State Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
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10
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Afkhami P, Zarrinpoor N. Optimization Design of a Supply Chain for Jatropha-Based Biofuel from a Sustainable Development Perspective Considering International Resources and Demand: A Case Study. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c06209] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Payam Afkhami
- Department of Industrial Engineering, Shiraz University of Technology, Shiraz, Iran
| | - Naeme Zarrinpoor
- Department of Industrial Engineering, Shiraz University of Technology, Shiraz, Iran
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11
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O’Neill EG, Maravelias CT. Towards integrated landscape design and biofuel supply chain optimization. Curr Opin Chem Eng 2021. [DOI: 10.1016/j.coche.2020.100666] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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12
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Razm S, Dolgui A, Hammami R, Brahimi N, Nickel S, Sahebi H. A two-phase sequential approach to design bioenergy supply chains under uncertainty and social concerns. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2020.107131] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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13
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Abdali H, Sahebi H, Pishvaee M. The water-energy-food-land nexus at the sugarcane-to-bioenergy supply chain: A sustainable network design model. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2020.107199] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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14
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Shavazipour B, Stray J, Stewart TJ. Sustainable planning in sugar-bioethanol supply chain under deep uncertainty: A case study of South African sugarcane industry. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107091] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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15
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Novel resilient-sustainable strategies for second-generation biofuel network design considering Neem and Eruca Sativa under hybrid stochastic fuzzy robust approach. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107073] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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16
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Dwi Prasetyo W, Putra ZA, Bilad MR, Mahlia TMI, Wibisono Y, Nordin NAH, Wirzal MDH. Insight into the Sustainable Integration of Bio- and Petroleum Refineries for the Production of Fuels and Chemicals. Polymers (Basel) 2020; 12:polym12051091. [PMID: 32403227 PMCID: PMC7284462 DOI: 10.3390/polym12051091] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 03/16/2020] [Accepted: 03/23/2020] [Indexed: 02/04/2023] Open
Abstract
A petroleum refinery heavily depends on crude oil as its main feedstock to produce liquid fuels and chemicals. In the long term, this unyielding dependency is threatened by the depletion of the crude oil reserve. However, in the short term, its price highly fluctuates due to various factors, such as regional and global security instability causing additional complexity on refinery production planning. The petroleum refining industries are also drawing criticism and pressure due to their direct and indirect impacts on the environment. The exhaust gas emission of automobiles apart from the industrial and power plant emission has been viewed as the cause of global warming. In this sense, there is a need for a feasible, sustainable, and environmentally friendly generation process of fuels and chemicals. The attention turns to the utilization of biomass as a potential feedstock to produce substitutes for petroleum-derived fuels and building blocks for biochemicals. Biomass is abundant and currently is still low in utilization. The biorefinery, a facility to convert biomass into biofuels and biochemicals, is still lacking in competitiveness to a petroleum refinery. An attractive solution that addresses both is by the integration of bio- and petroleum refineries. In this context, the right decision making in the process selection and technologies can lower the investment and operational costs and assure optimum yield. Process optimization based on mathematical programming has been extensively used to conduct techno-economic and sustainability analysis for bio-, petroleum, and the integration of both refineries. This paper provides insights into the context of crude oil and biomass as potential refinery feedstocks. The current optimization status of either bio- or petroleum refineries and their integration is reviewed with the focus on the methods to solve the multi-objective optimization problems. Internal and external uncertain parameters are important aspects in process optimization. The nature of these uncertain parameters and their representation methods in process optimization are also discussed.
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Affiliation(s)
- Wegik Dwi Prasetyo
- Chemical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, Malaysia; (W.D.P.); (N.A.H.N.); (M.D.H.W.)
- Department of Chemical Engineering, Universitas Pertamina, Jl.Teuku Nyak Arief, Simprug, Kebayoran Lama, Jakarta 12220, Indonesia
| | - Zulfan Adi Putra
- PETRONAS Group Technical Solutions, Project Delivery and Technology, PETRONAS, Kuala Lumpur 50050, Malaysia;
| | - Muhammad Roil Bilad
- Chemical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, Malaysia; (W.D.P.); (N.A.H.N.); (M.D.H.W.)
- Correspondence:
| | - Teuku Meurah Indra Mahlia
- School of Information, Systems and Modelling, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia;
| | - Yusuf Wibisono
- Bioprocess Engineering, Faculty of Agricultural Technology, Brawijaya University, Malang 65141, Indonesia;
| | - Nik Abdul Hadi Nordin
- Chemical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, Malaysia; (W.D.P.); (N.A.H.N.); (M.D.H.W.)
| | - Mohd Dzul Hakim Wirzal
- Chemical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, Malaysia; (W.D.P.); (N.A.H.N.); (M.D.H.W.)
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17
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Zahraee SM, Shiwakoti N, Stasinopoulos P. A Review on Water-Energy-Greenhouse Gas Nexus of the Bioenergy Supply and Production System. ACTA ACUST UNITED AC 2020. [DOI: 10.1007/s40518-020-00147-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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18
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Rabbani M, Momen S, Akbarian-Saravi N, Farrokhi-Asl H, Ghelichi Z. Optimal design for sustainable bioethanol supply chain considering the bioethanol production strategies: A case study. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2019.106720] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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19
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Shaverdi M, Yaghoubi S, Ensafian H. A multi-objective robust possibilistic model for technology portfolio optimization considering social impact and different types of financing. Appl Soft Comput 2020. [DOI: 10.1016/j.asoc.2019.105892] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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20
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Arabi M, Yaghoubi S, Tajik J. Algal biofuel supply chain network design with variable demand under alternative fuel price uncertainty: A case study. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.106528] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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21
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Babazadeh R, Ghaderi H, Pishvaee MS. A benders-local branching algorithm for second-generation biodiesel supply chain network design under epistemic uncertainty. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.01.013] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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22
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Mousavi Ahranjani P, Ghaderi SF, Azadeh A, Babazadeh R. Hybrid Multiobjective Robust Possibilistic Programming Approach to a Sustainable Bioethanol Supply Chain Network Design. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b02869] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
| | - Seyed Farid Ghaderi
- School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Ali Azadeh
- School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Reza Babazadeh
- Faculty of Engineering, Urmia University, Urmia, West Azerbaijan Province, Iran
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23
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Motevali Haghighi S, Torabi SA. A novel mixed sustainability-resilience framework for evaluating hospital information systems. Int J Med Inform 2018; 118:16-28. [PMID: 30153917 DOI: 10.1016/j.ijmedinf.2018.07.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 06/24/2018] [Accepted: 07/12/2018] [Indexed: 11/26/2022]
Abstract
Information systems (ISs) are one of the most widely used systems in different organizations especially hospitals. Improving the performance of a hospital information system (HIS) is one of the most important tasks for patient satisfaction and health. To do this, a mixed sustainability-resilience framework for evaluating HISs is proposed in this study in order to enhance their performance from a mixed sustainability-resilience view. First, a comprehensive framework including suitable sustainable and resilience indicators for performance enhancement of HISs is provided. Then, the importance weight of each indicator is achieved by using the best-worst method (BWM). Required data is obtained through a standard questionnaire. A data envelopment analysis (DEA) is applied to evaluate HIS performance in different departments of a real case study. Additionally, improvement actions are obtained by considering the effect of each selected indicator on the HIS performance through a sensitivity analysis. Also, appropriate strategies for improving the resilience and sustainability aspects of the HIS are presented using strengths-weaknesses-opportunities-threats (SWOT) matrix. Using the results, designers can build more intelligent HISs from both sustainability and resilience perspectives.
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Affiliation(s)
- S Motevali Haghighi
- School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran; Department of Industrial Engineering, Esfarayen University of Technology, Esfarayen, 9661998195, Iran.
| | - S Ali Torabi
- School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
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24
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Nodooshan KG, Moraga RJ, Chen SJG, Nguyen C, Wang Z, Mohseni S. Environmental and Economic Optimization of Algal Biofuel Supply Chain with Multiple Technological Pathways. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.7b02956] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Keivan Ghasemi Nodooshan
- Department of Industrial and Systems Engineering, Northern Illinois University, DeKalb, Illinois 60115, United States
| | - Reinaldo J. Moraga
- Department of Industrial and Systems Engineering, Northern Illinois University, DeKalb, Illinois 60115, United States
| | - Shi-Jie Gary Chen
- Department of Industrial and Systems Engineering, Northern Illinois University, DeKalb, Illinois 60115, United States
| | - Christine Nguyen
- Department of Industrial and Systems Engineering, Northern Illinois University, DeKalb, Illinois 60115, United States
| | - Ziteng Wang
- Department of Industrial and Systems Engineering, Northern Illinois University, DeKalb, Illinois 60115, United States
| | - Shayan Mohseni
- School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
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25
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Gargalo CL, Carvalho A, Gernaey KV, Sin G. Optimal Design and Planning of Glycerol-Based Biorefinery Supply Chains under Uncertainty. Ind Eng Chem Res 2017. [DOI: 10.1021/acs.iecr.7b02882] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Carina L. Gargalo
- Process
and Systems Engineering Center (PROSYS), Department of Chemical and
Biochemical Engineering, Technical University of Denmark, Building
229, 2800 Kongens
Lyngby, Denmark
| | - Ana Carvalho
- CEG-IST,
Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco
Pais, 1, 1049-001 Lisboa, Portugal
| | - Krist V. Gernaey
- Process
and Systems Engineering Center (PROSYS), Department of Chemical and
Biochemical Engineering, Technical University of Denmark, Building
229, 2800 Kongens
Lyngby, Denmark
| | - Gürkan Sin
- Process
and Systems Engineering Center (PROSYS), Department of Chemical and
Biochemical Engineering, Technical University of Denmark, Building
229, 2800 Kongens
Lyngby, Denmark
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26
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Dowling AW, Ruiz-Mercado G, Zavala VM. A framework for multi-stakeholder decision-making and conflict resolution. Comput Chem Eng 2016. [DOI: 10.1016/j.compchemeng.2016.03.034] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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