Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure
College
Gokongwei College of Engineering
Department/Unit
Industrial Engineering
Document Type
Article
Source Title
International Journal of Production Economics
Volume
190
First Page
96
Last Page
107
Publication Date
8-1-2017
Abstract
The electronic industry suffers a rapid changing and highly rival environment. Thus, firms have an essential need to strive for acquiring the competitive advantage. Supply chain agility (SCA) is a tool which enable to assist firms to attain the competitive advantage. Therefore, this study benchmarks the core competencies from a case study within the supply chain network and establishes a set of attributes for augmenting SCA. A novel multi-criteria decision-making structure is proposed to deal with the complex interrelationships among the aspects and attributes. Fuzzy Delphi method uses for screening out the unnecessary attributes, then integrating fuzzy set theory with decision-making trials and evaluation laboratory method and closed-loop analytical network process to evaluate the SCA in determining the core competitive advantage. The empirical results indicate that flexibility significantly impacts by process integration, information integration and strategic alliances for eco-design in supply chain. Then, process integration has the highest influence in developing the competitive advantage of innovation. The managerial and theoretical implications are discussed. © 2017 Elsevier B.V.
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Digitial Object Identifier (DOI)
10.1016/j.ijpe.2016.08.027
Recommended Citation
Wu, K., Tseng, M., Chiu, A., & Lim, M. K. (2017). Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure. International Journal of Production Economics, 190, 96-107. https://doi.org/10.1016/j.ijpe.2016.08.027
Disciplines
Industrial Engineering | Operations Research, Systems Engineering and Industrial Engineering
Keywords
Materials management; Multiple criteria decision making; Electronic industries—Inventory control; Fuzzy sets
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