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Article
Management
Kanglin Liu et al.
Summary: This paper focuses on locating testing facilities to meet varying demand caused by pandemics. A two-phase optimization framework is proposed to locate facilities and adjust capacity during emergencies. Online convex optimization and online gradient descent algorithms are used to solve the problem. A case study verifies the effectiveness of the framework.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Business
Surajit Bag et al.
Summary: This paper explores the significance of digitalization in healthcare supply chain in omnichannel healthcare processes, and investigates the impact of big data analytics and artificial intelligence technology on organizational performance in healthcare.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Business
Sachin Kumar Mangla et al.
Summary: This study proposes a supply order allocation strategy for e-medical homecare essentials (HCEs) in a multi-supplier environment by a distributor, ensuring sufficient and timely availability during pandemic peaks. Based on actual demand data from April to May 2021, the results suggest that the proposed emergency order allocation algorithm can achieve a minimum (maximum) average availability of 94% (98%) of e-medical HCEs respectively at pharmacies. In conclusion, the analysis of this study provides insightful implications for emergency operations decisions in the HCEs supply-distribution channel.
JOURNAL OF BUSINESS RESEARCH
(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)
Review
Green & Sustainable Science & Technology
Riya Bhattacharya et al.
Summary: The COVID-19 pandemic has led to an assessment of the effects on sustainable development goals related to water and energy, highlighting the need for a re-evaluation of the water-energy nexus. Integrated solutions are crucial in achieving stability in the water supply chain, energy storage, and policy making for developmental goals.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
(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
Golman Rahmanifar et al.
Summary: This study proposes a two-echelon waste management system (WMS) based on industry 4.0 concept to minimize operational costs and environmental impact. The system utilizes modern traceability Internet of Things devices to compare real-time waste levels with the threshold waste level parameter. The first model optimizes the operational cost and CO2 emission of waste collection, while the later model aims to minimize the cost of waste transferring to recycling centers. Recent meta-heuristic algorithms are employed to find the optimal solution, and novel heuristics based on the problem's specifications are developed.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Economics
Omer Faruk Yilmaz et al.
Summary: Drawing upon economic and environmental sustainability, this study explores the importance of developing the operational resilience of the medical supply chain (MSC) to cope with disruption risks like the COVID-19 pandemic. An optimization-based roadmap is proposed to enhance MSC resilience, utilizing lean tools. A scenario-based stochastic optimization model is developed to address demand uncertainty, and computational experiments comparing centralized and decentralized distribution models highlight the effectiveness of the proposed approach.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Engineering, Multidisciplinary
Behzad Mosallanezhad et al.
Alexandria Engineering Journal
(2023)
Article
Computer Science, Artificial Intelligence
Chi Li et al.
Summary: When COVID-19 broke out suddenly, there was a shortage of basic emergency relief in the epidemic areas. To address this issue, a multimodal hub-and-spoke transportation network was proposed to efficiently transport relief supplies from surrounding areas. A mixed integer nonlinear programming (MINLP) model was established to minimize transportation time consumption and costs. The Grey Wolf Optimizer (GWO) was employed and redesigned to solve this NP-hard problem, and the results showed that the customized GWO outperformed other state-of-the-art meta-heuristics in terms of time and accuracy. This research provides practical insights for government departments and transportation companies in designing effective emergency relief transportation networks during unexpected pandemics like COVID-19.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Interdisciplinary Applications
Omid Hashemi-Amiri et al.
Summary: Due to the global outbreak of COVID-19, perishable product supply chains have been impacted, increasing the risks of food insecurity in affected countries. Supply and demand uncertainty significantly affect supply chain networks, highlighting the importance of food provision and distribution. This study proposes a bi-objective optimization model for a three-echelon perishable food supply chain network, aiming to mitigate supply and demand uncertainties and optimize network costs and suppliers' reliability. The model uses distributionally robust modeling and chance-constrained approaches, and is reformulated as a mixed-integer linear program. A real-world case study in the poultry industry is conducted to validate the model's performance and applicability.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Amirhossein Moadab et al.
Summary: Effective supply chain management is crucial for economic growth and sustainability is a key consideration for large companies. This paper proposes a multi-objective mathematical linear model to optimize a sustainable, resilient, and responsive supply chain for PCR diagnostic tests. The model aims to minimize costs, negative societal impact, and environmental impact using a scenario-based approach. A real-life case study is conducted to validate the model, and sensitivity analyses are performed to analyze the behavior of the developed Mixed-Integer Linear Programming.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Omid Hashemi-Amiri et al.
Summary: Integrated smart waste management is an innovative and technologically advanced approach to waste management and collection, utilizing the Internet of Things technology to optimize operations. This study introduces a framework for optimizing waste system performance, considering collection, recycling, and recovery steps. It proposes a novel multi-objective model that uses chance-constrained programming to address profit uncertainty and applies meta-heuristic algorithms to tackle the complexity of the problem. The Taguchi parameter design method is utilized for optimal parameter adjustment, and the Best Worst Method is employed to determine the most reliable algorithm.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Review
Engineering, Electrical & Electronic
Hoa Tran-Dang et al.
Summary: This paper reviews the state-of-the-art applications of IoT in the logistics sector and discusses the challenges that prevent the full adoption of IoT in logistics.
IETE TECHNICAL REVIEW
(2022)
Article
Management
Andres Regal Ludowieg et al.
Summary: This paper introduces an SDSS system aimed at increasing access to essential goods and services using public spaces. The system utilizes spatial analysis and grid partitioning to provide solutions for disaster planning and response, resulting in improved decision-making processes for local authorities.
JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Erfan Babaee Tirkolaee et al.
Summary: This study develops a mathematical model to design a sustainable mask Closed-Loop Supply Chain Network (CLSCN) during the COVID-19 outbreak. A multi-objective Mixed-Integer Linear Programming (MILP) model is proposed to address various decisions within a multi-period multi-echelon multi-product supply chain. Sustainable development is considered by minimizing the total cost, total pollution, and total human risk. Two algorithms, MOGWO and NSGA-II, are used to solve the model and find Pareto optimal solutions. The results show that MOGWO performs better in terms of dispersion and solution quality. A real case study and sensitivity analyses are conducted to validate the model. Practical implications and managerial insights are discussed.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Saurabh Pratap et al.
Summary: Perishable food products require proper production, inventory, and shipping planning considering capacity, time windows, and carbon emissions reduction. This paper proposes using flower pollination and cuckoo search algorithms to solve the inventory routing problems, and evaluates the algorithms through sensitivity analysis and computational experiments.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Operations Research & Management Science
Sanjoy Kumar Paul et al.
Summary: This study provides a useful tool for decision-making in supply chain recovery during a pandemic by developing a unique problem setting with multi-dimensional uncertainty impacts and an efficient solution approach.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Ruchi Mishra et al.
Summary: This study investigates the role of environmental orientation and environmental collaboration practices in addressing sustainable consumption and production goals in the supply chain. The findings highlight the strategic significance of environmental collaboration for improving supply chain performance and achieving sustainable consumption and production goals.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Health Care Sciences & Services
Giorgio Quer et al.
Summary: The ability to track physiological changes in individuals after vaccination using wearable devices can provide objective evidence of vaccine-induced immune response. Preliminary findings show that resting heart rate increases after vaccination in most individuals and returns to normal within days. Vaccine dosage, gender, and age may also affect the physiological response.
NPJ DIGITAL MEDICINE
(2022)
Article
Engineering, Industrial
Sami Kara et al.
Summary: This paper provides a literature review on the development and potential of the Circular Economy (CE) in addressing material needs and environmental sustainability. It highlights the importance of broadening the focus of CE beyond technical and economic aspects to include political and socio-cultural dimensions. A whole-systems approach is needed to fully utilize the potential of CE for sustainable growth.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Giuseppina Ambrogio et al.
Summary: This paper analyzes the impacts of COVID-19 on workforce and supply chain resilience and proposes Industry 4.0-driven solutions and novel business continuity integration perspectives. The importance of harmonizing digital innovation and placing human well-being at the center is emphasized. Real-world examples and research projects are used to provide insights for scientists, researchers, and managers.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Naimur Rahman Chowdhury et al.
Summary: This study develops a vaccine supply chain (VSC) to ensure sustainable distribution during a global crisis in a developing economy. The model considers multiple objectives, including minimizing cost, GHG emissions, and maximizing job opportunities. Two metaheuristics are used to solve the model, and the TOPSIS model is integrated to prioritize environmental sustainability. The results show that the MOSEO-TOPSIS model performs better than the MOFEPSO-TOPSIS model and can help establish a VSC with enhanced economic, environmental, and social sustainability.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Chemistry, Multidisciplinary
Mohammad Ali Arjomandi et al.
Summary: This study presents a method based on particle swarm optimization to find the best layup for a classic double lap joint under horizontal constant tensile forces, and investigates the effects of different parameters on joint strength.
APPLIED SCIENCES-BASEL
(2022)
Article
Mahdyeh Shiri et al.
Journal of Ambient Intelligence and Humanized Computing
(2022)
Article
Management
Vimal Kumar et al.
Summary: From the data analysis, salary of employee and inconvenient transportation have emerged as top and bottom key challenges respectively. The sequence of organized challenges in the list needs to be mitigated one by one in order to improve the supply chain performance. Client's orders' frequency, customer management and supplier/partner relationship management are identified as the top and bottom opportunities respectively to develop.
JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
(2022)
Review
Biochemistry & Molecular Biology
Amogha G. Paladhi et al.
Summary: The recent outbreak of COVID-19 has led to various possibilities for the development of treatment against the coronavirus. Nano-biosensors have emerged as an economical approach to track the conditions and treatment status of individuals and the public. Graphene-based electrochemical nano-biosensors have shown superior properties. Fluorescence investigation provides real-time and accurate results.
PROCESS BIOCHEMISTRY
(2022)
Article
Green & Sustainable Science & Technology
Milad Alizadeh-Meghrazi et al.
Summary: This study proposes a flexible optimization model to establish a robust mask supply chain network under uncertainty. The model's applicability is demonstrated for the Greater Toronto Area in Canada, where medical supply producers were encouraged to switch their operations to produce masks.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Business
Sriram Tarikere et al.
Summary: Although Internet of Medical Things (IoMT) technology is still in the early stages of adoption, cybersecurity is crucial for its development to prevent potential crises from privacy and security risks. This article discusses the market opportunities and risks associated with IoMT, as well as a plan for proactively mitigating concerns and promoting growth while maintaining consumer confidence in the healthcare system.
Review
Business
Aymen Sajjad
Summary: This paper examines the impacts of the COVID-19 pandemic on global supply chain sustainability, finding that while the pandemic led to reductions in greenhouse gas emissions, it also had serious social implications for workers and their families. The findings suggest that companies need to build resilience in their supply chain operations to better respond to future shocks and disruptions.
CORPORATE GOVERNANCE-THE INTERNATIONAL JOURNAL OF BUSINESS IN SOCIETY
(2021)
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
Computer Science, Artificial Intelligence
Mohammad Reza Ghatreh Samani et al.
Summary: This study proposes a novel mechanism to address blood product shortage during the COVID-19 outbreak, utilizing a two-stage optimization tool to coordinate activities. The solution includes blood collection considerations, capacity sharing, and a stochastic model to tackle uncertainty and disruption risks. The approach provides a real-world case study in Iran to demonstrate applicability and effectiveness.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Information Systems
Soneila Khan et al.
Summary: The rapid development of Internet of Things (IoT), especially Internet of Medical Things (IoMT), has brought about large-scale data processing and potential network threats. The authors proposed a deep learning-driven software-defined network framework for efficient detection of malicious software in IoMT, and conducted a comprehensive evaluation.
COMPUTER COMMUNICATIONS
(2021)
Article
Engineering, Industrial
Anna Nagurney
Summary: In response to the COVID-19 pandemic, this paper constructs supply chain network optimization models that include labor as an important variable, taking into account disruptions to labor availability and possible flexibility during the pandemic. The framework considers elastic and fixed demands for products, different types of labor capacities, and is relevant to various supply chain applications. Both theoretical results and numerical examples are presented.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(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
Transportation
Omer Ozkan et al.
Summary: This paper focuses on the impact of the COVID-19 pandemic on healthcare logistics and supply chain networks, and proposes using UAVs to transport PCR testing samples between hospitals and laboratories. By developing a mixed-integer linear programming model, the study successfully determines the required number of UAVs, minimizes total transportation distance, and achieves the transportation of 25,000 testing specimens within reasonable run times.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Gaurav Dhiman et al.
Summary: The study introduces the Multi-objective Seagull Optimization Algorithm (MOSOA) by extending the previously developed Seagull Optimization Algorithm (SOA). The algorithm utilizes a dynamic archive to cache non-dominated Pareto optimal solutions and employs a roulette wheel selection approach. Testing with benchmark functions shows its superiority over existing metaheuristic algorithms, especially in high convergence Pareto optimal solutions.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Behzad Mosallanezhad et al.
Summary: Recent developments in the food industry have attracted attention from both academic and industrial practitioners. This paper focuses on shrimp as a well-known seafood and proposes a mathematical model for the Shrimp Supply Chain (SSC) to minimize total costs. The study utilizes various metaheuristics and conducts real-world applications to validate the effectiveness of the model and solution methods.
Article
Computer Science, Artificial Intelligence
Ali Zahedi et al.
Summary: The study develops two innovative approaches to design a relief supply chain network using IoT to address pandemics like SARS-COV-2 outbreak, validated in Iran and optimizing with efficient meta-heuristics. These approaches have shown versatility in dealing with various severe SARS-COV-2 pandemic situations.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Interdisciplinary Applications
Arijit Mondal et al.
Summary: Logistics problems are crucial during emergencies, especially during a critical situation like the COVID-19 pandemic. This paper proposes a multi-objective multi-product multi-period two-stage sustainable supply chain planning to maintain supply during the pandemic. By considering uncertain-random parameters, a robust optimization approach is utilized to deal with different scenarios, with a multi-attribute decision making approach determining priority areas based on urgency.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Bakhtawar Aslam et al.
Personal and Ubiquitous Computing
(2021)
Article
Computer Science, Artificial Intelligence
Mohammed Kamal Nsaif et al.
Summary: The study proposed an online COVID-19 self-assessment tool supported by IoMT technology to guide individuals in making informed decisions and assist healthcare systems in resource management.
JOURNAL OF INTELLIGENT SYSTEMS
(2021)
Article
Management
Eric Breitbarth et al.
Summary: This paper examines a concept for protecting vulnerable population groups during pandemics by delivering essential supplies directly to their homes, focusing on distribution logistics. The study develops a mathematical model for food home delivery in urban areas during pandemics, with a case study in Berlin, Germany. The findings suggest that collaboration between retailers, logistics service providers, and public authorities is essential for efficient home delivery services for vulnerable populations in urban areas during pandemics.
JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
(2021)
Article
Management
Behnam Malmir et al.
Summary: During large-scale outbreaks like the COVID-19 pandemic, governments and aid organizations need to collaborate in providing humanitarian aid. A simulation-based plan is used to address challenges in acquiring relief items, yielding useful managerial insights.
JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
(2021)
Article
Management
Sanjoy Kumar Paul et al.
Summary: This paper presents a mathematical modeling approach to develop a production recovery model for high-demand and essential items during COVID-19. The authors analyze the properties of the recovery plan and optimize it to maximize profit in the recovery window. The results show that the model is effective in revising production plans during disruptions and improves profitability for manufacturers.
INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT
(2021)
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Nazanin Haghjoo et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2020)
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Myles D. Garvey et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2020)
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Computer Science, Information Systems
Mohammad Nasajpour et al.
JOURNAL OF HEALTHCARE INFORMATICS RESEARCH
(2020)
Article
Business, Finance
John W. Goodell
FINANCE RESEARCH LETTERS
(2020)
Article
Computer Science, Artificial Intelligence
Gaurav Dhiman et al.
KNOWLEDGE-BASED SYSTEMS
(2019)
Article
Computer Science, Artificial Intelligence
Seyedali Mirjalili et al.
EXPERT SYSTEMS WITH APPLICATIONS
(2016)
Article
Computer Science, Interdisciplinary Applications
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE
(2014)
Article
Computer Science, Artificial Intelligence
M. Hajiaghaei-Keshteli et al.
APPLIED SOFT COMPUTING
(2014)
