A fuzzy goal programming approach for selecting sustainable suppliers

Pandey, Peeyush; Shah, Biren; Gajjar, Hasmukh

doi:10.1108/bij-11-2015-0110

Cited by 36 publications

(17 citation statements)

References 81 publications

(108 reference statements)

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“…Dalman and Sivri (2017) implemented fuzzy programming and some techniques of the fuzzy sets theory to solve the multi-objective solid transportation problem in uncertain environment. Pandey et al (2017) proposed a two-phase fuzzy goal programming problem integrating a hyperbolic membership function to select suppliers. Dai and Dai (2016) used fuzzy multi-objective linear programming to handle the proposed bi-objective closed-loop SC network model with risks caused by fuzziness.…”

Section: Fuzzy Operations Research Methods In Scmmentioning

confidence: 99%

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

Liao

Zavadskas

2021

Technological and Economic Development of Economy

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Every practice in supply chain management (SCM) requires decision making. However, due to the complexity of evaluated objects and the cognitive limitations of individuals, the decision information given by experts is often fuzzy, which may make it difficult to make decisions. In this regard, many scholars applied fuzzy techniques to solve decision making problems in SCM. Although there were review papers about either fuzzy methods or SCM, most of them did not use bibliometrics methods or did not consider fuzzy sets theory-based techniques comprehensively in SCM. In this paper, for the purpose of analyzing the advances of fuzzy techniques in SCM, we review 301 relevant papers from 1998 to 2020. By the analyses in terms of bibliometrics, methodologies and applications, publication trends, popular methods such as fuzzy MCDM methods, and hot applications such as supplier selection, are found. Finally, we propose future directions regarding fuzzy techniques in SCM. It is hoped that this paper would be helpful for scholars and practitioners in the field of fuzzy decision making and SCM.

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Section: Fuzzy Operations Research Methods In Scmmentioning

confidence: 99%

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

Liao

Zavadskas

2021

Technological and Economic Development of Economy

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“…Pandey et al [112] reported a two-phase fuzzy goal programming approach integrating hyperbolic membership function to determine suppliers under the sustainable supply chain environment. Bakeshlou et al [110] constructed a multiobjective fuzzy linear programming model to solve the green supplier selection problem.…”

Section: Mathematical Programming Methodsmentioning

confidence: 99%

“…Fuzzy sets (TrFNs) [63,106,110,112,140,148,173,183,184,195] 10 Mathematical Problems in Engineering items in 2009; 63.2% of the articles in the area are published in the three years (2017-2019). is can be attributed to the fact that sustainability has become a more and more significant portion in enterprise operation management due to growth of customer environmental consciousness, stringent governmental regulations, and stress from inside and outside stakeholders.…”

Section: References Frequencymentioning

confidence: 99%

“…Resource consumption [21, 26, 28, 33, 35, 38, 41, 48, 50, 54, 57, 59, 63, 75, 77, 78, 81-85, 90, 102, 106, 110, 113, 115, 118, 123, 130-135, 139, 140, 143, 144, 152, 153, 157, 159, 160, 163, 165, 169, 170, 173, 180, 192, 199, 202, 204] 53 Use of environmentally friendly technology [18,26,30,48,61,77,78,81,91,112,115,124,126,127,131,134,146,147,152,164,170,181,193,211] 24 Use of environmentally friendly materials [18,26,28,30,32,50,58,60,…”

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confidence: 99%

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Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications

Zhang

Liu

et al. 2020

Mathematical Problems in Engineering

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The role of green supplier evaluation and selection (GSES) in supply chain management is increasingly appreciated due to the intensification of competition, raising public consciousness, and environmental issues. To improve GSES, a large number of approaches have been proposed in the past decades. However, few attempts have been made to systematically review and classify the literature in this field. The objective of this study is to afford a comprehensive review of the studies which aim to develop models and methods in helping enterprises to assess and select the right green suppliers. To achieve this goal, a total of 193 journal articles extracted from the Scopus database over the period of 2009 to 2020 were chosen and reviewed. These publications were classified into ten categories based on their adopted GSES models and analyzed concerning the evaluation criteria, criteria weighting methods, and performance evaluation methods. Moreover, a bibliometric analysis was conducted according to the frequency of supplier selection methods, citation number, publication year, journal, country, and application area. This study supports practitioners, managers, and researchers in effectively recognizing and applying the GSES models to enhance organizational competitiveness and provides an insight into its state of the art.

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“…In the first scenario, suppliers worked independently, while in the second scenario, suppliers cooperated with each other. Pandey et al (2017) developed a framework for this problem by evaluating suppliers based on both quantitative and qualitative data. They proposed a two-phase fuzzy goal programming method incorporating hyperbolic membership function to solve the supplier selection problem under uncertainty.…”

Section: Literature Reviewmentioning

confidence: 99%

A multi-objective supplier selection model for green supply chain network under uncertainty

Khalilzadeh

Derikvand

2018

JM2

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Purpose Globalization of markets and pace of technological change have caused the growing importance of paying attention to supplier selection problem. Therefore, this study aims to choose the best suppliers by providing a mathematical model for the supplier selection problem considering the green factors and stochastic parameters. This paper aims to propose a multi-objective model to identify optimal suppliers for a green supply chain network under uncertainty. Design/methodology/approach The objective of this model is to select suppliers considering total cost, total quality parts and total greenhouse gas emissions. Also, uncertainty is tackled by stochastic programming, and the multi-objective model is solved as a single-objective model by the LP-metric method. Findings Twelve numerical examples are provided, and a sensitivity analysis is conducted to demonstrate the effectiveness of the developed mathematical model. Results indicate that with increasing market numbers and final product numbers, the total objective function value and run time increase. In case that decision-makers are willing to deal with uncertainty with higher reliability, they should consider whole environmental conditions as input parameters. Therefore, when the number of scenarios increases, the total objective function value increases. Besides, the trade-off between cost function and other objective functions is studied. Also, the benefit of the stochastic programming approach is proved. To show the applicability of the proposed model, different modes are defined and compared with the proposed model, and the results demonstrate that the increasing use of recyclable parts and application of the recycling strategy yield more economic savings and less costs. Originality/value This paper aims to present a more comprehensive model based on real-world conditions for the supplier selection problem in green supply chain under uncertainty. In addition to economic issue, environmental issue is considered from different aspects such as selecting the environment-friendly suppliers, purchasing from them and taking the probability of defective finished products and goods from suppliers into account.

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A fuzzy goal programming approach for selecting sustainable suppliers

Cited by 36 publications

References 81 publications

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications

A multi-objective supplier selection model for green supply chain network under uncertainty

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