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Review
Agricultural Economics & Policy
Michael Omotayo Alabi et al.
Summary: The COVID-19 pandemic has had a significant impact on food security and global food supply chains, leading to increased food insecurity in Canada and the US. This paper proposes a strategy or framework for building smarter and more resilient food supply chains.
BRITISH FOOD JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Mahmoud M. Bassiouni et al.
Summary: The ongoing COVID-19 pandemic has posed significant challenges to global supply chains. This study proposes several deep learning approaches to predict and mitigate shipment risks under COVID-19 restrictions, increasing the resiliency of supply chains. The results show that one of the proposed models achieves an accuracy of 100%.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Review
Management
Brenda de Farias Oliveira Cardoso et al.
Summary: This study aims to identify the impacts of major disasters on supply chains and countermeasure strategies through a systematic literature review and analysis of 160 documents. The study found that disasters can lead to impacts such as resource constraints, supply chain instability, outflow disruption, financial constraints, and changes in consumption patterns. Strategies to mitigate these impacts can be categorized as proactive and reactive. The study expands the theoretical view related to the impacts of disasters on supply chains and highlights the importance of implementing strategies to ensure their functioning during disasters.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Automation & Control Systems
Behzad Mosallanezhad et al.
Summary: The COVID-19 pandemic has disrupted supply chains, making it difficult for nations to provide necessary medical supplies. This study proposes a supply chain network model for COVID-19 Pandemic Wastes (CPWs) using an IoT platform, taking sustainability into account as objective functions.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Jaber Valizadeh et al.
Summary: The study presents a solution for the challenges in the vaccine supply chain through a robust optimization model, considering various costs and risks in the public vaccination program. Numerical experiments based on the vaccine supply chain in Kermanshah, Iran, show that the proposed model significantly reduces mortality risk, inequality in vaccine distribution, and total cost.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Fatemeh Gholian-Jouybari et al.
Summary: In recent decades, the increase in global population has led to higher demands for agricultural and food products. This has resulted in increased production in the agricultural food supply chain network to address food security concerns. However, excessive production has led to issues such as greenhouse gas emissions and increased water consumption. This study develops a mathematical model to improve sustainability in the agricultural food supply chain network and proposes solution methods to address uncertainty and complexity.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Sina Nayeri et al.
Summary: This study develops a decision-making framework to investigate the impact of responsive Supply Chain 5.0 on healthcare systems. Indicators and strategies are identified, and a new method is used to compute weights and rank feasible alternatives. The results indicate the importance of responsiveness, sustainability, resilience, and human-centricity, as well as high service level, cost reduction, recovery, and safety. The study also compares the proposed method with traditional methods and introduces the concept of Industry 5.0 in the SC problem.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Operations Research & Management Science
Gh. Kordi et al.
Summary: Health and convenience are important indicators for society, and Home Health Care (HHC) services play a crucial role in improving community health levels. However, manual nurse planning in HHC institutes often leads to inefficiency. This research presents a multi-objective mixed-integer model for home health care planning, addressing objectives such as cost, environmental emission, workload balance, and service quality. The model considers different service levels, patient preferences, and vehicle types. The epsilon-constraint method and a Multi-Objective Variable Neighborhood Search (MOVNS) are used for solving small and practical-size instances, respectively. The algorithm is evaluated using a real case study.
OPTIMIZATION LETTERS
(2023)
Article
Sanzida Solayman et al.
International Journal of Cognitive Computing in Engineering
(2023)
Article
Green & Sustainable Science & Technology
Madjid Tavana et al.
Summary: This study proposes an integrated multi-objective mixed-integer linear programming model for designing a sustainable closed-loop supply chain network. The model considers cross-docking, location-inventory-routing, time window, supplier selection, order allocation, transportation modes with simultaneous pickup and delivery, and uncertainty. An intelligent simulation algorithm is used to generate CLSC network data, and a fuzzy goal programming approach is employed to solve the model under uncertainty. The results demonstrate the effectiveness of the proposed model.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Artificial Intelligence
Abduallah Gamal et al.
Summary: The COVID-19 pandemic has had a significant impact on the global economy, particularly on supply chains. A study using a hybrid multi-criteria decision-making method quantified and ranked the impacts of different barriers on industries, revealing that insufficient inventory and manpower were the major influencing factors.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Environmental Sciences
N. Foroozesh et al.
Summary: A green and resilient supply chain network is designed to minimize disruption risks and uncertainties for perishable products. New strategies and a novel robust possibilistic programming approach are proposed to address the identified issues. The results demonstrate the effectiveness of the proposed approach in dealing with epistemic uncertainties.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Multidisciplinary Sciences
Amirhossein Moadab et al.
Summary: This article explores the combination of drone technology and public transportation system in the last-mile delivery, and proposes a mathematical model based on VRP to solve this problem. The experimental results show that the visitation sequence greatly affects the remaining charge and efficiency of drone tour planning, and utilizing the public transportation network can reduce the number of drones required for meeting service demands and saving energy.
SCIENTIFIC REPORTS
(2022)
Article
Economics
Kathryn E. Bender et al.
Summary: The COVID-19 pandemic has drawn attention to the resilience of the U.S. food system, but the resilience characteristics of individual households have been overlooked. Based on survey data, people prepared and consumed more food at home during the pandemic, driven by factors such as available time, perceived risks of dining out, and income disruption. To enhance household food consumption, some households took measures such as increasing cold storage capacity and improving cooking and food management skills. These measures can improve supply chain resilience but may also exacerbate the propagation of consumer demand shocks.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Economics
Sina Nayeri et al.
Summary: This research addresses the supply chain network design problem in the real-world situation by proposing a multi-objective mathematical model and employing a modified method to tackle uncertainty. The blood bank refrigerator is selected as a case study, and the proposed multi-objective model is solved using the augmented lexicographic weighted Tchebycheff method. The results show that improving supply chain responsiveness can enhance sustainability, but an increase in demands negatively affects the targets. Demand plays a crucial role in selecting resilience strategies.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Green & Sustainable Science & Technology
Mohammad Mahdi Vali-Siar et al.
Summary: This paper proposes a multi-objective mixed-integer linear programming model for designing responsive, resilient, and sustainable mixed open and closed-loop supply chain networks. The uncertainty of the problem is handled using a hybrid robust-stochastic optimization approach, and a Lagrangian relaxation method and a constructive heuristic algorithm are developed for solving large-scale instances. The results demonstrate the effectiveness of resilient strategies in improving economic, environmental, and social dimensions, and suggest that the proposed model can be used as an efficient tool for designing sustainable and resilient supply chains.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Green & Sustainable Science & Technology
Akram El Korchi
Summary: This study contributes to the conceptualization of SC survivability by proposing a Human Needs Supply chains framework, which shifts the focus of traditional SCs from product-profit to the satisfaction of basic human needs. The study also highlights the links between SC survivability, SC resilience, and SC sustainability, and proposes integrating survivability capacity into the concept of SC resilience.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Interdisciplinary Applications
Hamidreza Abedsoltan et al.
Summary: This paper explores models and strategies for the collaboration and co-branding of luxury brands with other companies in order to produce remanufactured products. It investigates the coordination of these strategies in producing remanufactured products, suggesting that luxury brands should collaborate with companies with larger market share to expand their own market share. The paper also emphasizes the importance of giving a specific name to the remanufactured product to maintain customer perception and prevent brand switching. Additionally, the study describes different advertising methods for expanding sales and provides insights for developing a new brand.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Proceedings Paper
Automation & Control Systems
Sahar Ebrahimi Bajani et al.
Summary: Reverse logistics activities serve as an agile solution for addressing production capacity shortages during the pandemic and as a convenient alternative to raw materials extraction in the post-pandemic era. However, the complexity of collecting and inspecting returned products arises from varying storage conditions. To address this, we propose a reverse supply chain network with competing collection centers, 3rd party remanufacturers, and recyclers, which defines minimum quality requirements based on customer demands in different situations.
Article
Engineering, Industrial
Sube Singh et al.
Summary: The deadly COVID-19 outbreak has not only taken lives and crippled the economy, but it has also disrupted supply chains across various sectors. The study reveals challenges in matching supply and demand in food supply chains during the pandemic, emphasizing the importance of resilient supply chains in times of crisis. The proposed simulation model aims to develop a responsive and robust food supply chain network to adapt to changing demands and travel restrictions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Industrial
Amir Azaron et al.
Summary: In this study, a multi-objective two-stage stochastic programming model is developed to address various decision-making aspects within a supply chain network. By utilizing the epsilon-constraint method to generate a set of Pareto optimal solutions, treating uncertain parameters as continuous random variables, and employing the SAA scheme for near optimal solutions, the efficiency of the proposed solution methodology is demonstrated through computational studies involving hypothetical and real supply chain networks of different sizes.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Editorial Material
Biotechnology & Applied Microbiology
Shyam Rele
Summary: The cautiously optimistic view on COVID-19 vaccine development is contingent upon addressing key technical barriers and supply chain issues to ensure successful production and distribution.
HUMAN VACCINES & IMMUNOTHERAPEUTICS
(2021)
Article
Surgery
Mohammad Hussein et al.
Summary: This study systematically reviewed and meta-analyzed literature on SARS-CoV-2 infection, finding that one infected person is likely to infect 3 others, and that the reproduction rate has decreased over time globally. Monitoring R-0 and R-e is crucial for assessing the effectiveness of mitigation efforts against COVID-19.
Article
Computer Science, Artificial Intelligence
Behzad Mosallanezhad et al.
Summary: This paper develops a multi-objective, multi-product, and multi-period model aiming to optimize total cost and shortage for personal protection equipment demands satisfaction in response to the COVID-19 outbreak. Through validation and testing, the study demonstrates the feasibility and value of the model and algorithms for practical application, and statistical analysis concludes on their utility and effectiveness.
APPLIED SOFT COMPUTING
(2021)
Article
Green & Sustainable Science & Technology
Aliakbar Hasani et al.
Summary: This study presents a robust multi-objective optimization model for designing a green global supply chain network structure and obtaining a resilient network through mitigation strategies. The computational results demonstrate that the agile and green supply chain configuration can effectively respond to global customer demand, highlighting the importance of supply chain agility.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Alireza Goli et al.
Summary: In today's competitive environment, designing a flexible and responsive manufacturing system with automatic material handling systems is essential. This article proposes a fuzzy mixed integer linear programming model for cell formation problems in cellular manufacturing systems, highlighting the important role of AGVs and human factors in automation systems.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Engineering, Industrial
Seyed Mohammad Gholami-Zanjani et al.
Summary: The food supply chains are facing challenges from increased supply and demand uncertainty, as well as unexpected disruptions such as natural hazards, industrial accidents, and epidemics. A new risk modeling approach is needed to address these issues and design a resilient network.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Green & Sustainable Science & Technology
Yahia Zare Mehrjerdi et al.
Summary: This paper addresses the integration of sustainability and resilience in the supply chain, emphasizing the importance of information sharing and multiple sourcing strategies for enhancing supply chain resilience. The study utilizes fuzzy TOPSIS and a multi-objective mixed-integer programming model to optimize cost, energy consumption, and pollution while increasing job opportunities in the closed-loop supply chain. Real data from a tire industry is used to validate the proposed model, highlighting the necessity of combining sustainability and resilience in supply chain management.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Erfan Babaee Tirkolaee et al.
Summary: A novel mixed-integer linear programming model was developed to optimize medical waste management during the COVID-19 pandemic. The model aims to minimize total traveling time, violation from time windows/service priorities, and infection/environmental risk. Time windows play a key role in defining service priorities for hospitals with different risk levels.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Mohammed Alkahtani et al.
Summary: Effective management of controllable production in manufacturing systems is crucial for dealing with emergencies and requires flexibility and resilience to manage risks. Pandemics like COVID-19 can have negative impacts on supply chains, posing challenges for decision makers.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Automation & Control Systems
Fariba Goodarzian et al.
Summary: The research designed a multi-objective, multi-level, multi-product, and multi-period sustainable medical supply chain network model and employed three hybrid meta-heuristic algorithms to solve the problem. Response surface method was used to tune sensitive parameters, and the study results indicated the superiority of the hybrid fish swarm algorithm in the empirical study.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Article
Multidisciplinary Sciences
Md Mahfuzur Rahman et al.
Summary: The study evaluated the clinical performance of a rapid diagnostic test (RDT) kit in detecting COVID-19 cases in Bangladesh, showing good sensitivity and specificity. The findings suggest the potential utility of SARS-CoV-2 antigen-based RDT in expediting the diagnostic process and managing COVID-19 in Bangladesh.
Article
Computer Science, Interdisciplinary Applications
Fatemeh Sabouhi et al.
Summary: Regional and geographical differences are crucial in supply chain design, yet the impact of regions' performance on design decisions is underresearched. This paper proposes a hybrid methodology for designing a sustainable and resilient supply chain, utilizing a multi-period multi-objective optimization model and k-means clustering method to evaluate regions' sustainability performance, while employing a new robustness measure to manage operational risks.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Zeinab Sazvar et al.
Summary: This study introduces a multi-objective mathematical model to design a sustainable-resilient supply chain using redundancy in capacity planning to meet customer demands and adapt to uncertainties. It validates the model through a case study and analyzes the tradeoff between resilience and sustainability.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Industrial
Shahriar Tanvir Alam et al.
Summary: This study combines DEMATEL and IFS methods to explore the key challenges of the COVID-19 vaccine supply chain, identifying 15 challenges including limited number of vaccine manufacturing companies, inappropriate coordination with local organizations, lack of vaccine monitoring bodies, difficulties in monitoring and controlling vaccine temperature, and vaccination cost and lack of financial support for vaccine purchase.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Computer Science, Information Systems
Chao Zhang et al.
INFORMATION SCIENCES
(2020)
Article
Computer Science, Interdisciplinary Applications
Siddhartha Paul et al.
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Engineering, Industrial
Dmitry Ivanov et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2020)
Article
Economics
Dmitry Ivanov
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2020)
Editorial Material
Medicine, General & Internal
Kathryn H. Jacobsen
Article
Engineering, Industrial
Fatemeh Sabouhi et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2020)
Article
Public, Environmental & Occupational Health
Rasoul Salimi et al.
Journal of Global Health
(2020)
Article
Environmental Sciences
Mohammed Al Zobbi et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Article
Psychology, Clinical
Joy D. Osofsky et al.
PSYCHOLOGICAL TRAUMA-THEORY RESEARCH PRACTICE AND POLICY
(2020)
Article
Management
I. Esra Buyuktahtakm et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2018)
Article
Engineering, Industrial
Behnam Fahimnia et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2017)
Article
Automation & Control Systems
Amin Aalaei et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2016)
Article
Parasitology
Lynda M. Curtis et al.
INTERNATIONAL JOURNAL FOR PARASITOLOGY
(2013)
Article
Computer Science, Interdisciplinary Applications
El-Houssaine Aghezzaf et al.
COMPUTERS & OPERATIONS RESEARCH
(2010)
Article
Engineering, Multidisciplinary
Ching-Ter Chang
APPLIED MATHEMATICAL MODELLING
(2008)
Article
Management
Ching-Ter Chang
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2007)
Article
Management
M Holweg
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2005)
Article
Management
C Romero
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2004)
