Prioritization of production strategies of a manufacturing plant by using an integrated intuitionistic fuzzy AHP & TOPSIS approach
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, cilt.31, sa.4, ss.510-528, 2018 (SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 31 Sayı: 4
- Basım Tarihi: 2018
- Doi Numarası: 10.1108/jeim-01-2018-0001
- Dergi Adı: JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
- Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus
- Sayfa Sayıları: ss.510-528
- Anahtar Kelimeler: AHP, MCDM, TOPSIS, Intuitionistic fuzzy sets, Production strategies, MULTICRITERIA DECISION-MAKING, GREEN PRODUCTION STRATEGIES, COMPETITIVE PRIORITIES, OPERATIONS STRATEGY, TAXONOMY, PERFORMANCE, CONFIGURATIONS, ENVIRONMENT
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
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.