A framework for mitigating excessive transportation in the context of manufacturing localization

Eryarsoy, Enes and Nalcioglu, Hakki and Kilic, Huseyin Selcuk and Yalcin, Ahmet Selcuk and Zaim, Selim and Delen, Dursun (2023) A framework for mitigating excessive transportation in the context of manufacturing localization. IEEE Transactions on Fuzzy Systems, 31 (2). pp. 619-630. ISSN 1063-6706 (Print) 1941-0034 (Online)

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While the zeitgeist of today prescribes localization as a key to eliminate the excessive transportation for manufacturing firms, firm-level practical and workable guidelines that go beyond maxims are scant. Laden with analytical methods, this article offers a phronetic, customizable framework based on lean six sigma (LSS). The framework mimics Define-Measure-Analyze-Improve-Control process. The early phases of the framework, ex-ante, prescribe the use of a variety of tools and techniques from LSS and employ a fuzzy analytic hierarchy process to extract the vital few root causes that may impede localization. The latter phases suggest the use of the design of experiments to evaluate the root causes, ex-post. The article outlines a clear and established procedure and demonstrates each analytical phase using evidence from a two-year real-world application in the steel industry.
Item Type: Article
Uncontrolled Keywords: Analytic hierarchy process (AHP); fuzzy logic; inshoring; localization; offshoring; reshoring; transportation
Divisions: Sabancı Business School
Depositing User: Enes Eryarsoy
Date Deposited: 05 Aug 2023 11:11
Last Modified: 05 Aug 2023 11:11
URI: https://research.sabanciuniv.edu/id/eprint/47095

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