Article
Green & Sustainable Science & Technology
Hadi Moheb-Alizadeh, Robert Handfield, Donald Warsing
Summary: This paper discusses how to balance sustainability and efficiency in supply chain network design, by introducing methods such as multi-objective programming, data envelopment analysis, and Lagrangian relaxation algorithm. The application of the methods is demonstrated through a case study, highlighting the integration of efficiency results in improving economic aspects of sustainability and social responsibility outcomes, as well as the trade-offs between efficiency and environmental impacts.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Zhenyao Liu, Li-Man Hu, Wei-Chang Yeh
Summary: In recent years, there has been growing awareness and acceptance of green environmental protection among the public, leading to increased attention in the management of closed-loop supply chains. This paper proposes a risk-averse two-stage stochastic programming model for closed-loop supply chain network design under uncertain demand, and employs parallel computation meta heuristic algorithms for solution. The results demonstrate the effectiveness and solution quality of the proposed model.
APPLIED SOFT COMPUTING
(2023)
Article
Engineering, Chemical
Congqin Ge, Lifeng Zhang, Zhihong Yuan
Summary: This paper proposes a hybrid stochastic and distributionally robust optimization approach to tackle uncertainty and disruptions in the closed-loop supply chain network. By customizing an algorithm, large-scale mixed integer linear programming problems can be solved efficiently. Computational experiments demonstrate the advantages of this approach in terms of costs and variances.
Article
Computer Science, Interdisciplinary Applications
Debabrata Das, Priyanka Verma, Ajinkya N. Tanksale
Summary: Reusable packaging materials provide a circular and sustainable way of transportation along the supply chain. This study focuses on the design problem of a supply chain network for wooden packaging materials. The uncertainties associated with the demand and reusability level of the materials are incorporated using a risk-averse two-stage stochastic programming model. The results show the trade-off among various cost components and provide managerial insights.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Laya Olfat, Mir Saman Pishvaee
Summary: The Closed-Loop Supply Chain Network Design (CLSCND) addresses the economic and environmental issues of returned products, which is a significant decision problem accompanied by uncertainty. This study proposes a novel flexible, probabilistic, and stochastic programming approach based on robust optimization with a focus on the Me measure. Simulation and evaluation of the results demonstrate that the suggested model performs well.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Interdisciplinary Applications
Kadir Bice, Sakine Batun
Summary: This study focuses on designing a closed-loop supply chain network under uncertainty, using a stochastic mixed-integer program to maximize total expected profit. It finds that uncertainty in demand has the highest impact on the value of the solution, while uncertainty in return rate has the lowest impact, and including a reverse chain significantly increases expected profit.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Erfan Shafiee Roudbari, S. M. T. Fatemi Ghomi, Ursula Eicker
Summary: The global population growth leads to increased demand for raw materials, while governments are implementing circular economy strategies in cities and industries. This paper presents a comprehensive model of a multi-echelon closed-loop supply chain network that operates under uncertainty. The model optimizes three contradicting objectives: maximizing profit, minimizing emissions, and maximizing job creation. The augmented epsilon constraint method is applied to improve the model. Applied in the clothing industry in Montreal, Canada, the results show the attractiveness of such a network for companies seeking profit, sustainability, and entrepreneurship.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Engineering, Chemical
Congqin Ge, Lifeng Zhang, Wenhui Yang, Zhihong Yuan
Summary: Traditional supply chains are becoming more volatile, leading to an increasing adoption of mobile modularization. This allows for flexible capacity adjustments and facility relocations to tackle market volatility. A mixed-integer linear programming model is proposed for closed-loop supply chain network planning with modular distribution and collection facilities. The model is further extended to incorporate uncertain customer demands and recovery rates, and is efficiently solved using a tailored stochastic dynamic dual integer programming approach. Computational experiments demonstrate the effectiveness of the proposed algorithm and the benefits of mobile modules in high temporal and spatial variability of customer demand.
Article
Green & Sustainable Science & Technology
Lily Poursoltan, Seyed-Mohammad Seyed-Hosseini, Armin Jabbarzadeh
Summary: This study introduces a green closed-loop supply chain framework for ventilators, addressing environmental sustainability and carbon emissions constraints, using a stochastic optimization model with strategic and tactical decision making. The proposed model is applied to a case study of Iranian medical ventilator production to analyze the impact of carbon emissions and demand variations on the optimal solution in the COVID-19 pandemic context. Sensitivity analyses show the managerial dimensions of the proposed model under the COVID-19 pandemic.
Article
Green & Sustainable Science & Technology
Yigit Kazancoglu, Damla Yuksel, Muruvvet Deniz Sezer, Sachin Kumar Mangla, Lianlian Hua
Summary: This article introduces a complex multi-objective optimization model for green dual-channel supply chain network design, aiming to optimize network flow by achieving economic and environmental objectives. By reducing CO2 emissions and particulate matter concentration, environmental goals are met, while minimizing overall costs also meets economic objectives.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Management
Yun Geon Kim, Byung Do Chung
Summary: The phenomenon of reshoring is enforced by governments in developed countries to strengthen the manufacturing industries and solve problems such as economic recession and job scarcity. Offshoring has become expensive for industries due to increasing labor and logistics costs and decreasing productivity in host countries. This study analyzes the effects of productivity-adjusted costs and reverse logistics on reshoring decisions, highlighting the influence of supply chain network facilities and the characteristics of both host and home countries. Companies should adopt right-shoring strategies considering reshoring drivers, while governments need discriminative budgeting strategies for promoting reshoring based on manufacturing processes and home country characteristics.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Behzad Mosallanezhad, Mostafa Hajiaghaei-Keshteli, Chefi Triki
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
Management
Milad Mohammadi, Alibakhsh Nikzad
Summary: This paper aims to design a mathematical model for sustainable closed-loop supply chains during the COVID-19 outbreak. The proposed model considers multiple objectives, including minimizing total cost, carbon emission, and infection risk, and maximizing social benefits. Stochastic demands, supplier selection, and facility disruptions are taken into account. The stochastic model is transformed into a deterministic model using the CCP approach. The effects of COVID-19 on network performance are examined using 30 test datasets. The results show that the model with COVID-19 has a higher total inventory and aggregated objectives, indicating a greater distance from optimal objectives. However, the model without COVID-19 has higher computational efficiency. Sensitivity analyses are conducted, and policy implications are proposed, such as adjusting management focus based on demand forecasts and allocating resources effectively.
OPERATIONS MANAGEMENT RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
M. Boronoos, M. Mousazadeh, S. Ali Torabi
Summary: This study introduces a novel multi-objective mixed integer nonlinear programming model for closed-loop green supply chain network design problem, aiming to minimize total costs, total CO2 emissions, and robustness costs simultaneously. By utilizing a robust flexible-possibilistic programming approach to handle flexible constraints and uncertainty in parameters, the study suggests that the carbon cap-and-trade policy is superior in most cases.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Computer Science, Artificial Intelligence
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri
Summary: The integration of Circular Economy (CE) principles in Supply Chain (SC) is crucial for sustainable competitive advantage, but faces challenges of uncertainty and long-term decision-making in Closed-Loop Supply Chain Network Design (CLSCND). This study proposes a scenario-based possibilistic-stochastic programming approach to simultaneously consider cognitive and random uncertainties while achieving CE goals.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Operations Research & Management Science
Javad Behnamian, Seyyed Mohammad Taghi Fatemi Ghomi
Summary: This paper discusses a multi-factory scheduling problem with heterogeneous factories and parallel machines, considering multiple objectives such as earliness, tardiness, and total completion time. A mixed-integer linear programming model is used to address the scheduling problem, with existing multi-objective techniques analyzed and a new method applied. Due to the NP-hard nature of the problem, a heuristic algorithm is proposed to generate a set of Pareto optimal solutions, and algorithms are suggested to improve and cover the Pareto front. Computational experiments on randomly generated test problems show the effectiveness of the heuristic algorithm and the model implemented by CPLEX.
RAIRO-OPERATIONS RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
S. M. T. Fatemi Ghomi, B. Karimi, J. Behnamian, J. Firoozbakht
Summary: This paper presents a bi-objective model for integrated production and distribution planning in a multi-period multi-product green supply chain. The model considers factors such as production shifts, limited storage capacity, different vehicle types, shipping methods, production costs, and sale prices. A particle swarm optimization algorithm based on Pareto archive that utilizes genetic algorithm operators is proposed to solve the model.
APPLIED ARTIFICIAL INTELLIGENCE
(2021)
Article
Engineering, Multidisciplinary
Mehrdad Gharib, Seyyed Mohammad Taghi Fatemi Ghomi, Fariborz Jolai
Summary: This article introduces a deterministic model for post-disaster situations in urban emergency medical services systems, and applies it to a real-life case study of an expected earthquake in Iran. The study utilizes deterministic models, metaheuristic algorithms, and evaluates the performance of algorithms such as NSGA-II and MOICA in solving large-scale problems. Insights for management are extracted from the application of the model in the case study.
ENGINEERING OPTIMIZATION
(2021)
Article
Engineering, Manufacturing
Kamran Forghani, S. M. T. Fatemi Ghomi, Reza Kia
Summary: This paper addresses the integration of cell formation, scheduling, and facility layout in virtual manufacturing cells, using a mathematical model to minimize material handling costs and cycle time. The Population-based Simulated Annealing (PSA) combined with linear programming is proposed to effectively solve the problem, demonstrating superior performance compared to CPLEX solver and standard simulated annealing in solving instances from literature.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2021)
Article
Engineering, Multidisciplinary
Kamran Forghani, S. M. T. Fatemi Ghomi, Reza Kia
Summary: This article discusses the importance of Cell Formation (CF) and Group Layout (GL) in designing a cellular manufacturing system and proposes an integrated model that simultaneously considers energy consumption, assembly aspects, and process routing to minimize material handling costs and electric energy consumption. Through a case study, managerial insights are provided, and a hybrid solution approach is proposed for the complex problem. Computational results demonstrate the superiority of this hybrid approach over traditional methods.
ENGINEERING OPTIMIZATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Samrad Jafarian-Namin, Mohammad Saber Fallahnezhad, Reza Tavakkoli-Moghaddam, Ali Salmasnia, Seyyed Mohammad Taghi Fatemi Ghomi
Summary: This study proposed an integrated model incorporating statistical process monitoring, maintenance policy, and economic production quantity, considering delayed monitoring policy and autocorrelation to avoid unnecessary costs and improve the statistical performance of control charts. An ARMA control chart was used to monitor autocorrelated data, and a particle swarm optimization algorithm was applied to obtain optimal solutions due to the complexity of the model. An industrial example, comparisons, and sensitivity analysis were provided for further investigations.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
(2021)
Article
Computer Science, Interdisciplinary Applications
S. A. Lesany, S. M. T. Fatemi Ghomi
Summary: The paper discusses the importance and challenges of identifying non-random patterns in control charts. By simulating the statistical distribution functions of natural variations and significant patterns in variability control charts, and comparing them with previous simulators, the study provides necessary tools for reliable simulations.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
(2021)
Article
Transportation
Mehrdad Gharib, Seyyed Mohammad Taghi Fatemi Ghomi, Fariborz Jolai
Summary: This paper presents a mathematical model for post-disaster planning with human casualties, aiming to guide the proper utilization of emergency resources. The model focuses on maximizing patient survival probability, minimizing treatment completion time, and reducing operational costs. Two innovative meta-heuristic algorithms are proposed to tackle the NP-hardness of the problem, along with a case study and computational analysis for evaluation.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Taha-Hossein Hejazi
Summary: The study aims to reduce patient waiting time, improve service levels, and increase output rates in medical centers through system optimization and resource planning. By using discrete-event simulation and simulation optimization, it is found that the state-dependent modeling approach is an ideal solution to reduce waiting time.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Navid Salmanzadeh-Meydani, S. M. T. Fatemi Ghomi, Seyedhamidreza Shahabi Haghighi, Kannan Govindan
Summary: This paper presents a method for evaluating the sustainability performance of an organization using PCA, NT, and statistical analysis. The results show that the factors related to the outcomes are of great importance for organizational performance, and there has been a decline in sustainability performance in recent years.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Operations Research & Management Science
M. Jenabi, S. M. T. Fatemi Ghomi, S. A. Torabi, Moeen Sammak Jalali
Summary: This paper presents a stochastic programming model and a combined solution algorithm to address the integrated resource planning problem in electric power systems, taking into account uncertainties and implementing on IEEE test systems.
Article
Computer Science, Artificial Intelligence
Taha-Hossein Hejazi, Sepideh Asadi Zeidabadi, Mozhgan Abbasi
Summary: Producing high-quality products and reducing supply chain costs are strategic goals for organizations to compete in the global market. This paper introduces a multi-stage multi-product multi-supplier multi-period supply chain model considering waste at various stages. The model is validated with a numerical example and sensitivity analysis. Genetic algorithm and hybrid genetic algorithm and simulated annealing algorithm are designed to solve NP-hard problems.
Article
Engineering, Chemical
Navid Salmanzadeh-Meydani, S. M. T. Fatemi Ghomi, Seyedhamidreza Shahabi Haghighi, Kannan Govindan
Summary: This paper presents a quantitative approach to evaluate the resilience of organizations in sudden-onset disasters, taking into account preparedness actions. The concept of the resilience triangle is expanded and the gradual improvement of functionality level is examined as a type of preparedness action. Measures of robustness and rapidity are used to indicate the loss of functionality and recovery time, while resourcefulness and redundancy measures are used to improve disaster resilience. Mathematical models are developed to assess the impact of these measures on resilience. The approach is applied to an oil and gas company and found to be effective in disaster response, planning, and mitigation.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2023)
Article
Engineering, Civil
F. Radan, S. M. T. Fatemi Ghomi, S. M. J. Mirzapour Al-e-hashem, Moeen Sammak Jalali
Summary: This paper addresses the maritime inventory routing problem (MIRP) and develops a mixed integer nonlinear programming model considering various constraints. Through studying ports in Iran and nearby areas, it is found that wind force and wave angle do not affect the routing, but only change the ship speed and costs. Tide, on the other hand, influences the route and increases costs.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Green & Sustainable Science & Technology
Erfan Shafiee Roudbari, S. M. T. Fatemi Ghomi, Ursula Eicker
Summary: The global population growth leads to increased demand for raw materials, while governments are implementing circular economy strategies in cities and industries. This paper presents a comprehensive model of a multi-echelon closed-loop supply chain network that operates under uncertainty. The model optimizes three contradicting objectives: maximizing profit, minimizing emissions, and maximizing job creation. The augmented epsilon constraint method is applied to improve the model. Applied in the clothing industry in Montreal, Canada, the results show the attractiveness of such a network for companies seeking profit, sustainability, and entrepreneurship.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
