Using fuzzy DEMATEL for evaluating supplier selection criteria in manufacturing industries

Author(s):  
Reza Kiani Mavi ◽  
Hossein Shahabi
2011 ◽  
Vol 38 (3) ◽  
pp. 1850-1858 ◽  
Author(s):  
Betty Chang ◽  
Chih-Wei Chang ◽  
Chih-Hung Wu

2014 ◽  
Vol 7 (3) ◽  
pp. 270 ◽  
Author(s):  
Mohammad Reza Mehregan ◽  
Seyed Hamid Hashemi ◽  
Amir Karimi ◽  
Babak Merikhi

2014 ◽  
Vol 37 (1) ◽  
pp. 89-105 ◽  
Author(s):  
Arpan Kumar Kar ◽  
Ashis K. Pani

Purpose – Supplier selection studies have used a wide variety of supplier evaluation criteria, due to the diversity of the purchasing context. The purpose of this study is to identify the critical supplier selection criteria which are important across industries and across purchasing contexts, and subsequently estimate the importance of these criteria to the procurement practitioners. Design/methodology/approach – First, a Delphi study has been conducted to identify the critical supplier selection criteria across manufacturing industries. Then, data were collected from 188 firms across 12 industries and analysed with fuzzy analytic hierarchy process for group decision making, to estimate the relative importance of these criteria. Findings – Findings indicate that seven criteria are of critical importance to Indian manufacturing industries. Also evaluation criteria like product quality, delivery compliance and price have maximum criticality, while criterion like e-transaction capability is gaining in importance, with the increased adoption of e-procurement platforms. Research limitations/implications – The study has been conducted in India, while focusing on Indian manufacturing industries. Similar study conducted in developed economies may produce different results. Practical implications – Findings will be useful for practitioners for benchmarking supplier selection processes, not only in India, but also in similar emerging economies. Also, the outcome will provide insights for suppliers for developing systemic improvements. Originality/value – There has been no study in recent years which has attempted to estimate the importance of supplier selection criteria, while taking a multi-industry approach. This study identifies the critical evaluation criteria and estimates their relative importance to procurement experts.


Author(s):  
Mahdi Nasrollahi ◽  
Mohammad Reza Fathi ◽  
Seyed Mohammad Sobhani ◽  
Abolfazl Khosravi ◽  
Asgar Noorbakhsh

2020 ◽  
Vol 13 (2) ◽  
pp. 195-210 ◽  
Author(s):  
Avanish Singh Chauhan ◽  
Gaurav Kumar Badhotiya ◽  
Gunjan Soni ◽  
Prem Kumari

Purpose Because of the increased global competition and the need for environment consciousness, organisations have started focusing on incorporating sustainability dimensions into suppler selection criteria. In the past decade, sustainable supplier selection has received much attention from researchers as well as industry practitioners. The purpose of this paper is to identify various sustainable supplier selection criteria (SSSC) and underlying interdependencies among prominent selection criteria to develop a framework for sustainability dimensions. Design/methodology/approach The sustainable criteria for supplier selection were established through comprehensive literature review. An interpretive structural modelling (ISM) approach is used to investigate the interrelationships among these criteria. Findings A total of 21 SSSC under 3 dimensions (social, environmental and economic) are established. Ten criteria related to quality, capability, flexibility, waste management, pollution prevention, local community, employment practice, labour, etc. are exhibiting strong driving as well as dependence power, as demonstrated through ISM and matriced’ impacts croises-multiplication applique’ and classement (MICMAC) analysis. The findings show that delivery/service, eco design and rights of stakeholders are the “key” criteria having a high-driving and low-dependence power. These criteria require high attention from managers, while other criteria having low-driving and high-dependence power require secondary actions. Research limitations/implications The inter-relations for the development of ISM model and MICMAC analysis were obtained through the opinion of industry experts and academicians, which may tend to be subjectively biased. Further exploration is proposed to statistically validate the developed interdependency model. Practical implications This paper might act as a reference for the supplier development managers of organisations by providing an appraisal of various SSSC based on their interdependencies. Originality/value This study contributes to the knowledge base by proposing a framework of the interrelationships of the SSSC and also provides an additional perspective for managing these criteria based on ISM.


Author(s):  
Cengiz Kahraman ◽  
Sezi Cevik Onar ◽  
Başar Öztayşi

Linguistic terms are quite suitable to make evaluations in multiple criteria decision making problems since humans prefer them rather than sharp evaluations. When linguistic evaluations are used in the decision matrix instead of exact numerical values, fuzzy set theory can capture the vagueness in the linguistic evaluations. Ordinary fuzzy sets have been extended to many new types of fuzzy sets such as intuitionistic fuzzy sets, neutrosophic sets, spherical fuzzy sets and picture fuzzy sets. Spherical fuzzy sets are an extension of picture fuzzy sets whose squared sum of their parameters is at most equal to one. This paper develops a novel spherical fuzzy CRiteria Importance Through Intercriteria Correlation (CRITIC) method and applies it for prioritizing supplier selection criteria. Supplier selection is one of the most critical aspects of any organization since any mistake in this process may cause poor supplier performance and inefficiencies in the business processes. Supplier selection is a multi-criteria decision making problem involving several conflicting criteria and alternatives. A numerical illustration of the proposed method is also given for this problem.


Sign in / Sign up

Export Citation Format

Share Document