scholarly journals An Extended Picture Fuzzy VIKOR Approach for Sustainable Supplier Management and Its Application in the Beef Industry

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 468 ◽  
Author(s):  
Phommaly Meksavang ◽  
Hua Shi ◽  
Shu-Min Lin ◽  
Hu-Chen Liu
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Practical Case ◽  
Sustainable Supply Chain ◽  
Vikor Method ◽  
Beef Industry ◽  
Weighted Distance ◽  
Fuzzy Distance ◽  
Sustainable Supplier Selection ◽  
Selection Approach

Nowadays, sustainable supply chain management (SSCM) has received considerable attention because of strict government requirements and increased pressure from the public. In the SSCM, selecting suitable suppliers plays a significant role in improving the overall sustainability performance of a company. Therefore, this article aims to develop a modified VIKOR (in Serbian: VlseKriterijumska Optimizacija I Kompromisno Resenje) technique for sustainable supplier evaluation and selection, that uses ordered weighted distance operators in the aggregation of picture fuzzy information. Concretely, we first propose the picture fuzzy-ordered weighted standardized distance (PFOWSD) operator and the picture fuzzy Euclidean-ordered weighted standardized distance (PFEOWSD) operator, and extended them by using the hybrid average operator. Then, we develop a sustainable supplier selection approach by combining the picture fuzzy distance operators and the VIKOR method. The new approach can manipulate attitudinal character of the classical VIKOR method, so that a decision maker can take decisions according to his or her preference. Further, by using the PFOWSD operator, one can parametrize the VIKOR method from the maximum to the minimum result. Thus, the information obtained using the new sustainable supplier selection approach is much more complete. Finally, a practical case example in the beef supply chain is given to explain the proposed picture fuzzy-ordered weighted distance (PFOWD)-VIKOR model, and the results are compared with current relevant representative approaches to verify its feasibility and superiority.

A multi-objective optimization model for sustainable supply chain network with using genetic algorithm

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Reza Ehtesham Rasi ◽  
Mehdi Sohanian
Keyword(s):  
Supply Chain ◽  
Performance Indicators ◽  
Supplier Selection ◽  
Supply Chain Network ◽  
Sustainable Supply Chain ◽  
Multi Objective Optimization ◽  
Content Type ◽  
Sustainability Performance ◽  
Multi Objective ◽  
Sustainable Supplier Selection

Purpose The purpose of this paper is to design and optimize economic and environmental dimensions in a sustainable supply chain (SSC) network. This paper developed a mixed-integer linear programing (MILP) model to incorporate economical and environmental data for multi-objective optimization of the SSC network. Design/methodology/approach The overall objective of the present study is to use high-quality raw materials, at the same time the lowest amount of pollution emission and the highest profitability is achieved. The model in the problem is solved using two algorithms, namely, multi-objective genetic and multi-objective particle swarm. In this research, to integrate sustainable supplier selection and optimization of sustainability performance indicators in supply chain network design considering minimization of cost and time and maximization of sustainability indexes of the system. Findings The differences found between the genetic algorithms (GAs) and the MILP approaches can be explained by handling the constraints and their various logics. The solutions are contrasted with the original crisp model based on either MILP or GA, offering more robustness to the proposed approach. Practical implications The model is applied to Mega Motor company to optimize the sustainability performance of the supply chain i.e. economic (cost), social (time) and environmental (pollution of raw material). The research method has two approaches, namely, applied and mathematical modeling. Originality/value There is limited research designing and optimizing the SSC network. This study is among the first to integrate sustainable supplier selection and optimization of sustainability performance indicators in supply chain network design considering minimization of cost and time and maximization of sustainability indexes of the system.

Sustainable Supplier Selection: An International Comparative Literature Review for Future Investigation

2014 ◽  
Vol 525 ◽  
pp. 787-790 ◽  
Author(s):  
Da Wei Zhang ◽  
Abu Bakar Abdul Hamid ◽  
Ai Chin Thoo
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Supplier Selection ◽  
Research Area ◽  
Special Focus ◽  
Sustainable Supply Chain ◽  
Research Gaps ◽  
Sustainable Supplier Selection ◽  
International Comparative ◽  
The 1960S

Supplier selection is a wide research area which has been explored conceptually and empirically. The criteria and decision-making methods of supplier selection have been investigated by a series of surveys dating back to the 1960s, and both of these issues are the focus of this study. Sustainable supply chain management is a forward-thinking idea which considers the environmental effects and the efficiency of resource utilization in the whole supply chain. Thus, this part will review the supplier selection literature with special focus on the background of sustainable supply chain. And then based on the literature review, the research gaps will be conducted for more in depth research in this study.

scholarly journals A New Extension to a Multi-Criteria Decision-Making Model for Sustainable Supplier Selection under an Intuitionistic Fuzzy Environment

2019 ◽  
Vol 11 (19) ◽  
pp. 5413 ◽  
Author(s):  
Patchara Phochanikorn ◽  
Chunqiao Tan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supplier Selection ◽  
Multi Criteria Decision Making ◽  
Sustainable Supply Chain ◽  
Suggested Approach ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Sustainable Supplier Selection ◽  
Decision Making Model

The increase of environmental pollution has led to the rise of sustainable awareness in recent years. This trend has motivated various industries to recognize the importance of implementing sustainable supply chain practices to seek economic, environmental and social advantages. From a sustainability perspective, selecting a suitable supplier is the main component of modern enterprises. It is also a challenging problem since several criteria concerning supplier selection are interdependent with a complex character. Therefore, the contribution of this paper is a new extension to multi-criteria decision-making model (MCDM) under an intuitionistic fuzzy environment for sustainable supplier selection (SSS) based on sustainable supply chain management SSCM practices. It consists of intuitionistic fuzzy set theory (IFS) with a decision making trial and evaluation laboratory (DEMATEL) combined with an analytic network process (ANP) to identify uncertainties and interdependencies among criteria as well as analyzing the criteria weights. We modified Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to evaluate and rank the desired level of sustainable supplier performance. The suggested approach is conducted by a case study from the Thailand palm oil industry. Results show that the proposed model not only can find the most suitable sustainable supplier, but also the enterprises can aid their suppliers in improving sustainability by using the proposed method and can improve enterprises’ socio-environmental performance, which is key to achieving sustainable development.

scholarly journals An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation

2018 ◽  
Vol 10 (7) ◽  
pp. 2543 ◽  
Author(s):  
Xiongyong Zhou ◽  
Zhiduan Xu
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Evaluation Model ◽  
Information Aggregation ◽  
Indicator System ◽  
Social Dimension ◽  
Sustainable Supply Chain ◽  
Bottom Line ◽  
Sustainable Supplier Selection ◽  
Social And Environmental Responsibilities

With a great emphasis on both social and environmental responsibilities, sustainable supply chain management has gradually been adopted and promoted as an innovative business model. In sustainable supply chain practice, the choice of sustainable suppliers relates to the long-term development of a company. While the environmental performance of suppliers has been commonly considered, the social dimension has not yet received enough attention. This paper first proposes a novel criteria system for evaluating sustainable suppliers from three aspects and six dimensions, and then introduces an integrated evaluation model with a novel hybrid information aggregation. To verify the applicability and effectiveness of the proposed method, a real case of a large supermarket is introduced and analyzed. The research results show that (1) the indicator system based on Triple Bottom Line theory can serve as a framework of sustainable supplier selection for manufacturing and circulation enterprises; (2) the introduction of hybrid information aggregation can effectively handle the uncertainties of indicator scores under the realistic fuzzy environment and objectively reflect the intentions of the scorers; and (3) in comparison with the TOPSIS algorithm, the priority order finally obtained is consistent, but the proposed model shows more robustness in the sensitivity test.

scholarly journals AN INTEGRATED MULTI-CRITERIA DECISION-MAKING FRAMEWORK FOR SUSTAINABLE SUPPLIER SELECTION UNDER PICTURE FUZZY ENVIRONMENT

2020 ◽  
Vol 26 (3) ◽  
pp. 573-598 ◽  
Author(s):  
Juan-juan Peng ◽  
Chao Tian ◽  
Wen-yu Zhang ◽  
Shuai Zhang ◽  
Jian-qiang Wang
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Evaluation Criteria ◽  
Multi Criteria Decision Making ◽  
Sustainable Supply Chain ◽  
Vikor Method ◽  
Minimization Principle ◽  
Fuzzy Environment ◽  
Sustainable Supplier Selection ◽  
Exponential Entropy

Sustainable supplier selection (SSS) is an important part of sustainable supply chain management (SSCM). In this paper, an integrated multi-criteria decision-making (MCDM) framework, based on the picture fuzzy exponential entropy, and the VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) method, is proposed to manage SSS problems. Firstly, the evaluation criteria of SSS, including economic, environmental and social, is established. This can be evaluated in the form of the actual data or linguistic terms provided by suppliers and experts respectively in an actual decision-making process. Then, according to the translated scales, all the evaluation information can be converted into picture fuzzy numbers (PFNs). Secondly, the picture fuzzy exponential entropy is defined. Moreover, based on the entropy’s minimization principle, the defined picture fuzzy exponential entropy is used to determine the weight of the SSS’s criteria. Thirdly, the extended VIKOR method, which combines the grey correlation coefficient, is utilized to select a suitable supplier. This method avoids the shortcomings of the traditional VIKOR method in data mining and solves the conflict between SSS criteria. Finally, the feasibility and effectiveness of the proposed integrated decision framework are verified by an experiment, as well as a sensitivity analysis and comparative analysis.

scholarly journals Going Green Supply Chain Management During COVID-19, Assessing the Best Supplier Selection Criteria: A Triple Bottom Line (TBL) Approach

2022 ◽  
Vol 17 (1) ◽  
pp. 36-51
Author(s):  
Maryam Khokhar ◽  
◽  
Wasim Iqbal ◽  
Yumei Hou ◽  
Muhammad Irshad
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Firm Performance ◽  
Supplier Selection ◽  
Fuzzy Numbers ◽  
Current Model ◽  
Triple Bottom Line ◽  
Bottom Line ◽  
Chain Management ◽  
Sustainable Supplier Selection

In the past ten years, sustainable supply chain management (SSCM) attach great importance due to consumers, for-profit and profitless organizations, laws and regulations to the social and corporate responsibilities of consumers, so it has been recognized by practitioners and scholars. Supplier selection, environmental effect like a lockdown, and social cooperation and other SSCM programs can play an important part in realizing the triple bottom line (TBL) of economic, environmental, social assistances. In supply chain management (SCM), the sustainable supplier selection (SSS) and firm performance plays an important role. Traditionally, when evaluating SSS performance, organizations will consider a new framework to obtain the overall criteria/sub-criteria of the sustainability index by encapsulating sustainability. In this paper 12 sub-criteria for 3 pillars of sustainability as economic, environment and social performance is collected. Although there are many articles on SSS and evaluation, so far, research on sustainability issues is very limited. This study endeavours to propose a fuzzy multi-criteria approach to discuss SSCM planning, and studies the issue of determining a current model for SSS in the supply chain during COVID-19 based on the TBL method. For express the linguistic value of the subjective preference of experts we use triangular fuzzy numbers. By using fuzzy numbers to find standard weights for qualitative performance evaluation, then fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is proposed to find the ranking of SSS. However, COVID-19 has a negative role in SSS and in firm performance. The situation of lockdown due to COVID-19 has a negative effect on the performance of the organizations. An example is given of the proposed method.

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