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An integrated fuzzy multi-criteria group decision-making approach for supplier evaluation and selection in oil and gas industry

An integrated fuzzy multi-criteria group decision-making approach for supplier evaluation and... Supplier selection is an important and strategic decision of supply chain. Identifying and selecting the right suppliers to provide specialty chemicals, spares parts, oils and lubricant in an oil and gas industry impacts oilfield operations, supply chain performance and competitiveness of the firm. The supplier evaluation and selection is based on multiple quantitative and qualitative criteria. Thus, it is a multi-criteria group decision making (MCGDM) problem which involves importance ratings of suppliers with respect to criteria by group of decision makers (DMs) which are vague and imprecise. In this paper, a supplier's evaluation and selection based on nine criteria has been demonstrated using integrated fuzzy entropy (FEntropy) and fuzzy complex proportional assessment (FCOPRAS) methods in an Indian oil and gas company. Fuzzy entropy method is used for objective weight determination of criteria while FCOPRAS for suppliers ranking and selection. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business Performance and Supply Chain Modelling Inderscience Publishers

An integrated fuzzy multi-criteria group decision-making approach for supplier evaluation and selection in oil and gas industry

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1758-9401
eISSN
1758-941X
DOI
10.1504/IJBPSCM.2021.116213
Publisher site
See Article on Publisher Site

Abstract

Supplier selection is an important and strategic decision of supply chain. Identifying and selecting the right suppliers to provide specialty chemicals, spares parts, oils and lubricant in an oil and gas industry impacts oilfield operations, supply chain performance and competitiveness of the firm. The supplier evaluation and selection is based on multiple quantitative and qualitative criteria. Thus, it is a multi-criteria group decision making (MCGDM) problem which involves importance ratings of suppliers with respect to criteria by group of decision makers (DMs) which are vague and imprecise. In this paper, a supplier's evaluation and selection based on nine criteria has been demonstrated using integrated fuzzy entropy (FEntropy) and fuzzy complex proportional assessment (FCOPRAS) methods in an Indian oil and gas company. Fuzzy entropy method is used for objective weight determination of criteria while FCOPRAS for suppliers ranking and selection.

Journal

International Journal of Business Performance and Supply Chain ModellingInderscience Publishers

Published: Jan 1, 2021

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