A combined hesitant fuzzy MCDM approach for supply chain analytics tool evaluation

2021 ◽  
pp. 107812
Author(s):  
Gülçin Büyüközkan ◽  
Merve Güler
Keyword(s):  
Supply Chain ◽  
Tool Evaluation ◽  
Fuzzy Mcdm

Multi-Criteria Decision Making Models for Sustainable and Green Supply Chain Management Based on Fuzzy Approach

2016 ◽  
pp. 291-307 ◽  
Author(s):  
Meysam Shaverdi ◽  
Iman Ramezani ◽  
Ali Asghar Anvary Rostamy
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Business Performance ◽  
Multicriteria Decision Making ◽  
Explicit Integration ◽  
Economic Dimension ◽  
Chain Management ◽  
Decision Support Models ◽  
Fuzzy Mcdm

Understanding different aspects of sustainability, supply chain management (SCM), and decision making policies and relating them to performance measurement have been increasingly investigated in the last decade. In contrast to traditional SCM, which typically focuses on economic and financial business performance, sustainable SCM (SSCM) is characterized by explicit integration of environmental or social objectives which extend the economic dimension. For evaluating the sustainability of SCM as well as its greenness, we have to consider many and different index and criteria. One of the best tools for assessing the SSCM and GSCM is multicriteria decision making (MCDM) techniques. Many studies have been conducted in this area. Moreover, there are many uncertainty factors which may reduce the accuracy of MCDM result. Actually, Uncertainty is always a worsening factor in any decision support models, and dilutes the planned objectives of such models. For decreasing this uncertainty, fuzzy logic has been combined with MCDM approach. In fact, the main purpose of this chapter is considering the recent studies in area of SSCM and GSCM regarding to applications of fuzzy MCDM techniques. At the end of this chapter, based on out investigations in applications of fuzzy MCDM in SSCM and GSCM and regarding to research gaps, some suggestions for future studies have been proposed.

Evaluating food supply chain performance using hybrid fuzzy MCDM technique

2019 ◽  
Vol 20 ◽  
pp. 40-57 ◽  
Author(s):  
Mohd Sufiyan ◽  
Abid Haleem ◽  
Shahbaz Khan ◽  
Mohd Imran Khan
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Supply Chain Performance ◽  
Food Supply Chain ◽  
Fuzzy Mcdm

scholarly journals A Fuzzy MCDM Model of Supplier Selection in Supply Chain Management

2022 ◽  
Vol 31 (3) ◽  
pp. 1451-1466
Author(s):  
Jui-Chung Kao ◽  
Chia-Nan Wang ◽  
Viet Tinh Nguyen and Syed Tam Husain
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Chain Management ◽  
Fuzzy Mcdm

scholarly journals Selection of the best supply chain strategy using fuzzy based decision model

2018 ◽  
Vol 7 (2.2) ◽  
pp. 117 ◽  
Author(s):  
Surahman . ◽  
Arkas Viddy ◽  
Achmad Fanany Onnilita Gaffar ◽  
Haviluddin . ◽  
Ansari Saleh Ahmar
Keyword(s):  
Supply Chain ◽  
Minimum Cost ◽  
Evaluation Process ◽  
Supply Chain Strategy ◽  
Strategic Issues ◽  
East Kalimantan ◽  
Business Excellence ◽  
Fuzzy Mcdm ◽  
The Right ◽  
Selection Of

The right strategy in the supply chain has become strategic issues are important today because the nature of these decisions is usually complex and unstructured. There are many quantitative and qualitative attributes such as cost, responsiveness, and flexibility that need to be taken into account to determine the best supply chain strategy. Assessment of all attributes as mentioned is usually through a human evaluation process involving many subjectivity and uncertainty factors. In addition, the complexity of the problems directly related to each attribute used as an assessment increases the problem of uncertainty. Fuzzy MCDM (Multi Criteria Decision Making) is one of the MCDM methods that use a fuzzy approach to overcome complexity and uncertainty of the problem. Today the market has been able to witness a worldwide expansion and dynamic situation by leveraging new innovations in production methodology and information technology. With this new innovation, the market can increase demand for products tailored to minimum cost with minimum waiting time. Lean and agile are two chain strategy concepts evolved in the pursuit of business excellence, while the concept of leagile is in between. This study aims to select the best supply chain strategy (lean, leagile, agile) at a manufacturing company in Samarinda – East Kalimantan based on certain criteria by using Fuzzy MCDM.  

scholarly journals Supplier Selection by Using a Fuzzy Integrated Model for a Textile Company

2019 ◽  
Vol 30 (5) ◽  
pp. 579-590 ◽  
Author(s):  
Alptekin ULUTAŞ
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Model ◽  
Selection Problem ◽  
Grey Theory ◽  
Chain Management ◽  
Fuzzy Mcdm ◽  
Supplier Selection Problem

Supply chain management determining the competitive position of corporations in a rival and fast-changing environment is one of the favourite topics in engineering economics. Since the performance of suppliers affects the performance of the whole supply chain, the selection of a supplier is a significant problem in supply chain management. When solving a supplier selection problem, there are many criteria needed to be considered. Therefore, the supplier selection problem is a multi-criteria decision making (MCDM) problem. In the supplier selection process, most of the time, expert data is involved, and the judgement of experts includes ambiguous, imprecise and uncertain data. Thus, there are many methods to solve supplier selection issues by utilising fuzzy set theory, grey theory and rough theory to handle vagueness of a problem. This study also proposes a fuzzy model to solve this problem. In this study, an integrated fuzzy MCDM model including the Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Operational Competitiveness RAting (Fuzzy OCRA) will be proposed to solve supplier selection problem for a Turkish textile company. The FAHP is utilised to determine the weights of considered eight criteria and the fuzzy OCRA is used to rank five fabric suppliers concerning their performances on eight measures. This study is original and it contributes to the literature in two ways: first, this study proposes a fuzzy extension of the OCRA method and second, this study offers a new integrated fuzzy MCDM model consisting of the FAHP and the Fuzzy OCRA. By using a real case study of supplier selection problem, it is attempted to indicate the applicability of the new integrated fuzzy MCDM model for actual circumstances.

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