A fuzzy goal programming with interval target model and its application to the decision problem of renewable energy planning

The supplier selection problem (SSP) is known as one of the major issues in the supply chain management area. In this field, the literature shows that the combination of green and agile indicators has been ignored by researchers. Hence, this research attempts to study the SSP considering green and agile aspects, simultaneously. To do this, an efficient hybrid fuzzy decision-making approach is developed based on the Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL), Fuzzy Best-Worst Method (FBWM), Fuzzy Analytic Network Process (FANP), and Fuzzy Vlse Kriterijumsk Optimizacija Kompromisno Resenje (FVIKOR) methods. Then, to show the efficiency and application of the proposed approach, a case study in the medical devices industry is investigated. After determining the main indicators and alternatives, the interrelationships between indicators are identified employing FDEMATEL. Then, the weights of indicators are calculated using integrated FBWM-FANP. Finally, the potential suppliers are ranked applying FVIKOR. Based on the obtained results, price and greenness are the more important aspects and also material costs, environmental performance evaluation, manufacture flexibility, service level, and system reliability are the most important criteria for the green-agile supplier selection problem in the medical devices industry. Since all of the consistency ratios are less than 0.1, the reliability of the results is proved. On the other side, the results of conducting sensitivity analysis show that by changing the defuzzification methods, there is no significant change in the obtained results that demonstrates the validity of the proposed approach. Eventually, based on the obtained results, suppliers #1 and #5 are the best suppliers for the considered company. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-021-14690-z.

Section: Introductionmentioning

confidence: 99%

The green-agile supplier selection problem for the medical devices: a hybrid fuzzy decision-making approach

Alamroshan

La’li

Yahyaei

2021

“…One of the popular approaches to solve multi-objective problems is goal programming (GP) (Nayeri et al 2018 ; Mamashli et al 2021b ; Razavi et al 2021 ). In the field of the SCND problem, different variants of the goal programming method is applied and they achieved good results (see Hocine et al 2020 ; Mamashli and Javadian 2020 ; Nayeri et al 2020 ; Pourmehdi et al 2020 ; Homayouni et al 2021 ; Jamali et al 2021 ; Mamashli et al 2021a ). In the current study, the meta-goal programming (MGP) method offered by Uría et al (2002) is applied to solve the proposed MOMIP.…”

Section: Solving Methodsmentioning

confidence: 99%

Robust design of a green-responsive closed-loop supply chain network for the ventilator device

Asadi

Khatir

Rahimi

2022

This study aims to investigate the closed-loop supply chain network design problem considering the environmental and responsiveness features. For this purpose, a multi-objective mathematical model is suggested that minimizes the carbon emissions and the total costs and maximizes the responsiveness of the system. Due to the dynamic space of the business environment, uncertainty is an integral part of the supply chain problem. Therefore, this research applies the robust possibilistic programming method to cope with uncertainty. Afterwards, since the research problem has a high level of the complexity, a hybrid solution approach based on a heuristic method and the meta-goal programming method is developed to solve the research problem in a reasonable time. Then, due to the importance of the ventilator device during the recent pandemic (COVID-19), this study considers this product as a case study. The main contribution of the current study is to design a green-responsive closed-loop supply chain network under uncertainty using a multi-objective robust possibilistic programming model, for the first time in the literature, especially in the medical devices industry. On the other side, the other contribution of this study is to develop an efficient hybrid solution method. The achieved results demonstrate the efficiency of the offered model and the developed hybrid method. Eventually, by carrying out sensitivity analysis, the impact of some of the critical parameters on the model is investigated. Based on the obtained results, an increase in the demand sizes leads to increasing the environmental damages and the total costs while reducing the responsiveness level. On the other side, an increase in the rate of return leads to an increase in all of the objective functions. Also, the achieved results show that when the capacity parameter is increased, the total costs are decreased, but the responsiveness and environmental impacts are increased. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-022-19105-1.

“…An issue that requires organizations to focus more on supplier selection is the crucial role that suppliers play in product, service, organization, and sustainable performance selection as the primary and input factor in the supply chain (Asadabadi 2016;Rashidi et al 2020). Also, it should be noted that one of the crucial issues in sustainable development is carbon emissions (Dogan and Inglesi-Lotz 2017;Dogan and Seker 2016;Dogan and Turkekul 2016;Hocine et al 2020). In the sustainable selection of suppliers, more care and sensitivity should be paid because important issues such as the use of minerals, toxic substances in raw materials, and environmental pollution caused by some processes are tied to the sustainable SSP (Hofmann et al 2018).…”

Section: Sustainable Sspmentioning

confidence: 99%

Leagile and sustainable supplier selection problem in the Industry 4.0 era: a case study of the medical devices using hybrid multi-criteria decision making tool

ForouzeshNejad

2022

Given the crucial role of the supplier selection problem (SSP) in today’s competitive business environment, the present study investigates the SSP by considering the leagile, sustainability, and Industry 4.0 (I4.0) indicators for the medical devices industry (MDI). In this regard, at the outset, the list of criteria and sub-criteria is provided based on the literature and experts’ opinions. Then, the importance of the indicators is measured utilizing the rough best–worst method (RBWM). In the next step, the potential suppliers are ranked employing the multi-attributive border approximation area comparison (IR-MABAC) method. Due to the crucial role of medical devices during the COVID-19 outbreak, the present work selects a project-based organization in this industry as a case study. The obtained results show that agility and sustainability are the most important criteria, and manufacturing flexibility, cost, reliability, smart factory, and quality are the most important sub-criteria. The main theoretical contributions of this study are considering the leagile, sustainability, and I4.0 criteria in the SSP and employing the hybrid RBWM-IR-MABAC method in this area for the first time. On the other side, The results of this research can help supply chain managers to become more familiar with the sustainability, agility, leanness, and I4.0 criteria in the business environment.