Title: Fuzzy multi-objective programming for supplier portfolio formation: a credibility-based approach

Authors: Garima Mittal

Addresses: Decision Sciences Area, Indian Institute of Management Lucknow, Lucknow-226013, Uttar Pradesh, India

Abstract: In a multiple-sourcing environment, supplier selection plays an integral role in efficiently managing a supply chain of an organisation. This paper proposes a fuzzy multi-objective programming model using a credibility measure, for forming a portfolio of suppliers. Credibility measure has an advantage of self-duality over more prevalent possibility measure. In this paper credibility measure of a fuzzy event is used to model the three objectives of minimising expected cost, maximising expected quality and maximising the expected on-time delivery, along with other realistic constraints that are integral part of the supplier selection problems. The proposed credibilistic model is solved using a fuzzy goal programming approach that has then been extended to three different scenarios in order to address decision maker's satisfaction with respect to the achievement level of the various objectives. A numerical illustration is also provided to depict the utility of the proposed model and approach.

Keywords: fuzzy supplier portfolio; expected value model; fuzzy multi-criteria decision making; credibility measure; fuzzy goal programming; supplier selection.

DOI: 10.1504/IJOR.2022.128394

International Journal of Operational Research, 2022 Vol.45 No.4, pp.442 - 466

Received: 10 May 2019
Accepted: 31 Jan 2020

Published online: 20 Jan 2023 *

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