A multi-attribute framework for determining the competitive advantages of products using grey-TOPSIS cum fuzzy-logic approach

Ighravwe, D.E and Oke, Sunday Ayoola (2016) A multi-attribute framework for determining the competitive advantages of products using grey-TOPSIS cum fuzzy-logic approach. Total Quality Management & Business Excellence. pp. 1-24.

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Abstract

Competitive advantage (CA) is a manufacturing business idea that assists organisations to be at benefits over rivals by keeping additional customers and exhibiting superior trade levels. Literature on prioritising measures and resources with respect to their impacts on competitiveness is interesting, important, promising but limited. However, CA decisions are confronted with factors to be prioritised having unequal importance. Additionally, data may be scanty and uncertain but quality decisions must be made. Furthermore, factors employed to judge the CA ability of organisations are disjointed and limited and do not often account for environmentalfriendliness in frameworks. Consequently, a new environmentally set of measures should be included in frameworks containing combined grey-TOPSIS and fuzzylogic. Using the resulting framework, a case study approach, based on expert judgement was adopted to exemplify and articulate the concept embedded in the approach. Study results indicate framework application feasibility and validity in packaging manufacturing. The novelties of the paper are: (i) development of a comprehensive CA method using greenness factors; (ii) addition of a case-based CA method for the Nigerian manufacturing environment; and (iii) application of combined grey-TOPSIS-fuzzy-logic framework for CA. The presented framework may serve as an effective CA implementation tool

Item Type:	Article
Additional Information:	Grey-TOPSIS, competitive advantage, multi-attribute, multi-product, fuzzy decision-making
Subjects:	T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	Mrs Patricia Nwokealisi
Date Deposited:	16 Feb 2017 11:42
Last Modified:	16 Feb 2017 11:42
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/7796

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