Sustainable distributed permutation flow-shop scheduling model based on a triple bottom line concept

Fathollahi-Fard, Amir M.; Woodward, Lyne; Akhrif, Ouassima

doi:10.1016/j.jii.2021.100233

Cited by 73 publications

(39 citation statements)

References 62 publications

(126 reference statements)

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“…To establish the proposed FRB model, this study considers three main factors for the green supplier selection as follows: Manufacturing management with environmental perspective, transportation management, and green transportation are considered. A green manufacturing including different suppliers with environmental perspectives and green procurement, are considered in the first classification (Fathollahi-Fard et al, 2021 ). Reverse logistics and eco-design factors including green social responsibility, green design, employee management, green facility management, green packaging, and reverse logistics management, are the set of second classification (Mojtahedi et al, 2021 ; Fathollahi-Fard et al, 2020a ).…”

Section: Proposed Frb Systemmentioning

confidence: 99%

“…Manufacturing management with environmental perspective, transportation management, and green transportation are considered. A green manufacturing including different suppliers with environmental perspectives and green procurement, are considered in the first classification (Fathollahi-Fard et al, 2021 ).…”

Section: Proposed Frb Systemmentioning

confidence: 99%

“…In each game, two or more players are contributed and cooperated by forming such coalitions (Li, & Zhang, 2015 ; Tippayawong, et al, 2016 ). The transportation of products creates the GHG emissions and the GHG volumes can be allocated to different objects with regards to different parts of a supply chain network (Fathollahi-Fard et al, 2021 ; Ali et al, 2021 ). This study aims to address all objects of GHG volumes and establishes the CGT model to address a green supplier selection model in a supply chain network.…”

Section: Introductionmentioning

confidence: 99%

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A fuzzy rule-based multi-criterion approach for a cooperative green supplier selection problem

Rafigh

Akbari

Bidhendi

et al. 2021

Environ Sci Pollut Res

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Multi-criterion decision-making models are widely used in supplier selection problems. This study contributes to a green supplier selection problem considering the green manufacturing, green transportation, and green procurement. This study contributes to reverse logistics, eco-design, reusing, recycling, and remanufacturing with their high impact on the industries. In addition to the logistics costs and transportation costs, the carbon emissions are considered. With regard to the game theory, this paper uses a cooperative green supplier selection model. If transportation requirements of two or more companies are combined, it will help manufacturers to have less emissions with lower cost. After creating the optimization model to consider the uncertainty, this cooperative game theory model is established in a fuzzy environment. In this regard, a fuzzy rule-based (FRB) system is deployed and the set of fuzzy IF–THEN rules is considered. The proposed FRB model is contributed for the first time in the area of green supplier selection problem. Finally, some sensitivity analyses are conducted in a numerical example to evaluate the proposed model. With regard to the findings, although the cost of CO 2 emission of horizontal cooperation is increased, the cost saving of companies is increased. It means our total cost is optimal in a logistic network using the cooperative game theory. The results also indicate that horizontal cooperation in logistic network causes less cost and benefits for each company. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-021-17015-2.

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Section: Proposed Frb Systemmentioning

confidence: 99%

Section: Proposed Frb Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A fuzzy rule-based multi-criterion approach for a cooperative green supplier selection problem

Rafigh

Akbari

Bidhendi

et al. 2021

Environ Sci Pollut Res

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“…Health system management in the world involves different subjects such as supply chain management [42,43], data management [44,45,46], risk management [47], routing and scheduling management [48,49] and home healthcare management [50,51,52].…”

Section: Literature Reviewmentioning

confidence: 99%

Operating Room Scheduling Optimization Based on a Fuzzy Uncertainty Approach and Metaheuristic Algorithms

Maghzi

Mohammadi

Pasandide

et al. 2022

IJE

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T oday, planning and scheduling problems are the most significant issues in the world and make a great impact on improving organizational productivity and serving systems such as medical and healthcare providers. Since operating room planning is a major problem in healthcare organizations, the optimization of medical staff and equipment plays an essential role. Thus, this study presents a multiobjective mathematical model with a new categorization (preoperative, intraoperative, and postoperative) to minimize operating room scheduling and the risk of using equipment. Time constraints in healthcare systems and medical equipment limited capacity are the most significant considered limitation in the present study. In this regard, since the duration of patient preparation and implementation of treatment processes occur in three states of optimistic, pessimistic, and normal, the introduced parameters are examined relying on a fuzzy uncertainty analysis of the problem. Hence, the model is measured in a real numerical solution sample in a medical center to evaluate and confirm the proposed mathematical model. T hen, two meta-heuristic algorithms (NRGA and NSGAII) are implemented on the mathematical model to analyze the proposed model. Finally, the research results indicate that the NSGA-II is more efficient in the operating room scheduling problem.

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“…Therefore, by reducing the length of the delivery or receipt of goods, the company can provide better services to its customers by reducing the cost of goods and increasing delivery speed [12]. As a result, the company will increase its competitiveness against other similar companies, expand its product market, and ultimately make more profit [13]. In general, inventory and transportation are two important factors in the cost component [14].…”

Section: Introductionmentioning

confidence: 99%

A Neutrosophic Fuzzy Programming Method to Solve a Multi-depot Vehicle Routing Model under Uncertainty during the COVID-19 Pandemic

Nozari

Tavakkoli–Moghaddam

Ghahremani-Nahr

2022

IJE

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T he worldwide prevalence of coronavirus disease and the severe problems in the distribution of medical equipment have led to the modeling of multi-depot vehicle routing under uncertainty in the COVID-19 pandemic. T he primary purpose of the proposed model is to locate warehouses and production centers and route vehicles for the distribution of medical goods to hospitals. A robust fuzzy method controls uncertain parameters, such as demand, transmission, and distribution costs. T he effect of uncertainty using a neutrosophic fuzzy programming method shows that by increasing demand, the volume of medical goods exchanges and the number of vehicles used to distribute goods increase. T his leads to an increase in the total cost of the problem and the amount of greenhouse gas (GHG) emissions. T he results also show that using more vehicles reduces staff fatigue to distribute medical products and reduces the prevalence of the COVID-19 pandemic. In the most important sensitivity analysis of the problem on the capacity of the vehicle, it was determined that by increasing the capacity of the vehicle, fewer vehicles are used, and as a result, the cost and amount of greenhouse gas emissions are reduced. On the other hand, this has led to a decrease in the prevalence of the COVID-19 virus.

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Sustainable distributed permutation flow-shop scheduling model based on a triple bottom line concept

Cited by 73 publications

References 62 publications

A fuzzy rule-based multi-criterion approach for a cooperative green supplier selection problem

A fuzzy rule-based multi-criterion approach for a cooperative green supplier selection problem

Operating Room Scheduling Optimization Based on a Fuzzy Uncertainty Approach and Metaheuristic Algorithms

A Neutrosophic Fuzzy Programming Method to Solve a Multi-depot Vehicle Routing Model under Uncertainty during the COVID-19 Pandemic

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