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

Ali Karasan (Institute of Natural and Applied Sciences, Yildiz Teknik Universitesi, Istanbul, Turkey)
Melike Erdogan (Department of Industrial Engineering, Yildiz Teknik Universitesi, Istanbul, Turkey)
Esra Ilbahar (Department of Industrial Engineering, Yildiz Teknik Universitesi, Istanbul, Turkey)

Journal of Enterprise Information Management

ISSN: 1741-0398

Publication date: 9 July 2018

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.

Keywords

Citation

Ali Karasan, Melike Erdogan and Esra Ilbahar (2018) "Prioritization of production strategies of a manufacturing plant by using an integrated intuitionistic fuzzy AHP & TOPSIS approach", Journal of Enterprise Information Management, Vol. 31 No. 4, pp. 510-528

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DOI

: https://doi.org/10.1108/JEIM-01-2018-0001

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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