A fuzzy group Electre method for electronic supply chain management framework selection

Abstract

The rapid growth of the Internet and electronic commerce has given rise to electronic supply chain management (e-SCM) which enhances communication, coordination, and collaboration between the trading partners. However, when confronted by the range of e-SCM frameworks, organisations struggle to identify the one most appropriate to their needs. In this paper, we propose a novel fuzzy group multi-criteria method for e-SCM framework evaluation and selection. The contribution of the proposed method is fourfold: (1) it addresses the gaps in the SCM literature on the effective and efficient assessment of the e-SCM frameworks; (2) it is grounded in the excellence model introduced by the European Foundation for Quality Management; (3) it provides a comprehensive and systematic framework that combines real options analysis and the analytic hierarchy process with a group Electre method; and (4) it considers fuzzy logic and fuzzy sets to represent ambiguous, uncertain, or imprecise information. We also present the results of a real-world case study to demonstrate the applicability of the proposed framework and exhibit the efficacy of the procedures and the algorithms. We show that the proposed framework can help a group of decision makers to think systematically by decomposing the alternative evaluation process into manageable steps and integrating the results to arrive at a solution consistent with managerial goals and objectives. The analysis of this case study allows for the articulation of a series of key factors that can be considered important in contributing to the successful implementation of the e-SCM framework. The first element is getting the key people on board. The second factor is building internal alliances. The third key ingredient is the persistent and systematic process put in place to evaluate the e-SCM success.

ELECTRE: A comprehensive literature review on methodologies and applications

“…A case study concerning the selection of an electronic supply chain management framework for a manufacturer of quality wind turbines was studied by Zandi et al (2011), who presented a fuzzy group decision method, which proceeds in several steps and is based on a combination of fuzzy AHP, fuzzy ELECTRE I, and Real Options Analysis.…”

Performance modeling and benchmarking of green supply chain management

“…ELECTRE-III method is projected in their work to deal with supplier selection problem in supply chain. Zandi et al (2011) presented a systematic framework combining AHP with ELECTRE method to identify the most appropriate needs in electronic SCM. They suggested to develop business model for synchronizing SCM activities and addressed SCM literature as an effective and prominent field for future expansion.…”

“…The authors also found that a fine quality of work is furnished by the researchers for ranking green criterion by exploiting MOORA, TOPSIS, ELECTRE, PROMTHEE, GRA, etc. (Matawale et al, 2016a;Datta et al, 2014;Kannan et al, 2014;Mathiyazhagan et al, 2014;Liu and Zhang, 2011;Zandi et al, 2011;Soni and Kodali, 2013;Govindan et al, 2017;Hashemi et al, 2015), but a little attention is paid by the researchers for conceptualizing VIKOR and SAW techniques under the domain of GSCM. Thus, the authors worked in the direction of developing an approach for housing VIKOR and SAW techniques for scheduling GSCM by the global firms.…”

Unveiling Supply Chain Nervousness: A Strategic Framework for Disruption Management under Fuzzy Environment

“…The weights of the criteria cannot be determined using the ELECTRE approach. It can be used with other strategies like AHP and has been utilized in previous studies for supply chain analysis and to identify and rank barriers to GSCM implementation in the leather sector with the use of AHP-ELECTRE combination [62], in order to establish an environmental trade-off between energy consumption and product life cycle in the cold supply chain using the best-worst method and ELECTRE-I methodology [63]; establish the significance of dealership performance evaluation in a supply chain; take into account the DEMATEL and ELECTRE [64]; select the optimum strategy among available alternatives of hazards in the supply chain of a medical equipment maker company using a combined ANP-ELECTRE technique [65]; use a vague group framework selection for electronic supply chain management [66]; rank the factors influencing the green supply chain [67]; compare effective factor rankings in supply chain management using fuzzy-ELECTRE [68]; analyze and prioritize green health suppliers using fuzzy-ELECTRE [69]; and rank the green chain suppliers using a fuzzy TOPSIS and ELECTRE method [70].…”