Prioritization of production strategies of a manufacturing plant by using an integrated intuitionistic fuzzy AHP & TOPSIS approach

KARAŞAN A., Erdogan M., İLBAHAR E.

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, vol.31, no.4, pp.510-528, 2018 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 31 Issue: 4
  • Publication Date: 2018
  • Doi Number: 10.1108/jeim-01-2018-0001
  • Journal Name: JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.510-528
  • Keywords: AHP, MCDM, TOPSIS, Intuitionistic fuzzy sets, Production strategies, MULTICRITERIA DECISION-MAKING, GREEN PRODUCTION STRATEGIES, COMPETITIVE PRIORITIES, OPERATIONS STRATEGY, TAXONOMY, PERFORMANCE, CONFIGURATIONS, ENVIRONMENT
  • Yıldız Technical University Affiliated: Yes

Abstract

Purpose
The purpose of this paper is to find most appropriate production strategy for a manufacturing plant by using an integrated interval-valued intuitionistic fuzzy (IVIF) analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) approach.

Design/methodology/approach
The applied methodology is a multi-criteria decision making approach consists of AHP and TOPSIS methods with the extension of intuitionistic fuzzy sets.

Findings
Results of the application are revealed that using integrated IVIF-AHP & TOPSIS methods are very appropriate for the prioritization of the strategy for the production management for a manufacturing plant. This outcome also is supported by the sensitivity analysis. Results of the sensitivity analysis demonstrate the robustness of the methodology.

Originality/value
To the best of the authors’ knowledge, an integrated IVIF-AHP & TOPSIS methodology is used for the prioritization of production strategies for the first time.

Purpose The purpose of this paper is to find most appropriate production strategy for a manufacturing plant by using an integrated interval-valued intuitionistic fuzzy (IVIF) analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) approach.