Solution of an imperfect‐quality EOQ model with backorder under fuzzy lock leadership game approach

De, Sujit Kumar; Mahata, Gour Chandra

doi:10.1002/int.22305

Cited by 25 publications

(12 citation statements)

References 49 publications

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“…In recent years, due to the importance of the supply chain and decision-making problems, many works have conducted in this area especially under the fuzzy environment (for example, see De 2018 , 2020 , 2021 ; De and Sana 2018 ; De and Mahata 2019 ; De and Mahata 2020 , 2021 ; Bhattacharya and De 2021 ; Bhattacharya et al 2021 ). In this section, we review the most important previous papers related to green or agile supplier selection problems.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Alamroshan

La’li

Yahyaei

2021

Environ Sci Pollut Res

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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.

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Section: Literature Reviewmentioning

confidence: 99%

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

Alamroshan

La’li

Yahyaei

2021

Environ Sci Pollut Res

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“…Furthermore, for improving the accuracy and reliability of the achieved outcomes, integrated methods can be applied, i.e., using different MCDM tools along with DEMATEL methodology. Moreover, our method can be optimized with the help of new fuzzy methodologies developed in the previous research [93][94][95]. As this study focused on Malaysia as a scope of the research, future comparative studies might be conducted to extend the generalizability to entail other regions and compare their outcomes.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Evaluation of Factors to Respond to the COVID-19 Pandemic Using DEMATEL and Fuzzy Rule-Based Techniques

Asadi

Nilashi

Abumalloh

et al. 2021

Int. J. Fuzzy Syst.

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Since social and environmental conditions have changed dramatically in recent years, the spectrum of diseases caused by infections is also evolving rapidly. The outspread of COVID-19 has resulted in an emergency situation across the globe with significant effects on the population's lives, families, and societies, leading to concerns the World Health Organization. Accordingly, the virus has substantially threatened the Malaysians' public health and contributed considerably to increased healthcare expenses. Since the novel coronavirus was found in China, Malaysia's government has started its actions according to the World Health Organization procedures and concentrated on addressing and preventing the spread of the infection. The present paper aims to find and evaluate the factors to respond to the COVID-19 outbreak in Malaysia, limiting the outspread of the disease in this country. This study used the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Fuzzy Rule-Based techniques to evaluate the factors through a set of questionnaires completed by the health care professionals. According to the data analysis results, movement control order, international travel restrictions, and the mass gathering cancellations were of most importance in the prevention of COVID-19 infections transmission.

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“…There is a thriving interest in the study of games, 1 which has diverse applications in areas such as communications, networking, economics, and control theory 2‐8 . Computer science and artificial intelligence (AI) are no exception.…”

Section: Introductionmentioning

confidence: 99%

“…There is a thriving interest in the study of games, 1 which has diverse applications in areas such as communications, networking, economics, and control theory. [2][3][4][5][6][7][8] Computer science and artificial intelligence (AI) are no exception. With the development of AI in recent years, the study of games has also received increasing attention.…”

Section: Introductionmentioning

confidence: 99%

Exploring the effects of computational costs in extensive games via modeling and simulation

et al. 2021

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Game theory has become a standard tool for depicting and demonstrating various game‐like phenomena by providing appropriate mathematical models and for analyzing and predicting agents' behaviors and their decisions by formalizing solution concepts. The conventional game model mainly concerns ideal systems that would always guarantee optimal responses, which appears unrealistic for practical game scenarios since decision‐making usually entails resource costs. Therefore, this study considers players' decision‐making in extensive games when the computational cost of searching the strategy space is limited. We start with a new mathematical model of extensive games that features a bound on computational resources during players' decision‐making process such that they can only foresee a part of the available alternatives in the future. This model is more appropriate in predicting players' strategies than the conventional model, under which we investigate the effects of computational costs on players' strategies as well as the computational complexity. Furthermore, a simulation experiment is performed to seek the connection between the amount of resources and the goodness of the outcomes. This study is expected to provide a foundation for players' rational decision‐making with computational costs.

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Solution of an imperfect‐quality EOQ model with backorder under fuzzy lock leadership game approach

Abstract: This paper considers an economic order quantity (EOQ) inventory model for items with imperfect quality and shortage backordering under several styles of managerial leadership via lock fuzzy game theoretic approach. The decision maker (DM) con

Cited by 25 publications

References 49 publications

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

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

Evaluation of Factors to Respond to the COVID-19 Pandemic Using DEMATEL and Fuzzy Rule-Based Techniques

Exploring the effects of computational costs in extensive games via modeling and simulation

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