An interactive fuzzy programming approach for a sustainable supplier selection under textile supply chain management

2021 ◽  
Vol 155 ◽  
pp. 107164
Author(s):  
Muhammad Tayyab ◽  
Biswajit Sarkar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Fuzzy Programming ◽  
Programming Approach ◽  
Chain Management ◽  
Sustainable Supplier Selection ◽  
Interactive Fuzzy Programming ◽  
Textile Supply Chain

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.

scholarly journals Integration of sustainability aspects in the supplier selection process: a case study from a German electronics firm

2020 ◽  
Vol 3 (2) ◽  
pp. 13-27
Author(s):  
Rubén Medina Serrano ◽  
Wanja Wellbrock ◽  
María Reyes González Ramirez ◽  
José Luis Gascó
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Selection Process ◽  
Research Work ◽  
Academic Research ◽  
Professional Activity ◽  
Chain Management ◽  
Sustainable Supplier Selection

The supplier selection process has become an important area of research and professional activity, and it is fundamental to understand the types and trends of research in this field. The appropriate supplier selection decision is a fundamental strategic process and plays an important role in supply chain management. In the last decade, academic research on sustainability has evolved rapidly in the supply chain literature. However, there has been scant opportunity for the research community to complete a global assessment of sustainable supplier selection activities to date. This paper seeks to address this need by exploring sustainability in supply chain management, developing a sustainable supplier selection framework with a tool for its operationalization to help managers evaluate supplier selection decisions. Our proposed model is based on the TOPSIS concept as a multiple criteria decision-making (MCDM) model and is validated through a case study. This research work follows the best-in-class approach to comply with all applicable environmental regulations and laws in the supplier selection process.

scholarly journals Sustainable Supplier Performance Evaluation and Selection with Neofuzzy TOPSIS Method

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
S. K. Chaharsooghi ◽  
Mehdi Ashrafi
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Selection Problem ◽  
Bottom Line ◽  
Chain Management ◽  
Supplier Performance ◽  
Sustainable Supplier Selection ◽  
Supplier Selection Problem

Supplier selection plays an important role in the supply chain management and traditional criteria such as price, quality, and flexibility are considered for supplier performance evaluation in researches. In recent years sustainability has received more attention in the supply chain management literature with triple bottom line (TBL) describing the sustainability in supply chain management with social, environmental, and economic initiatives. This paper explores sustainability in supply chain management and examines the problem of identifying a new model for supplier selection based on extended model of TBL approach in supply chain by presenting fuzzy multicriteria method. Linguistic values of experts’ subjective preferences are expressed with fuzzy numbers and Neofuzzy TOPSIS is proposed for finding the best solution of supplier selection problem. Numerical results show that the proposed model is efficient for integrating sustainability in supplier selection problem. The importance of using complimentary aspects of sustainability and Neofuzzy TOPSIS concept in sustainable supplier selection process is shown with sensitivity analysis.

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