A Framework for Mitigating Excessive Transportation in the Context of Manufacturing Localization

Eryarsoy E., Nalcioglu H., KILIÇ H. S., Yalcin A., Zaim S., Delen D.

IEEE Transactions on Fuzzy Systems, vol.31, no.2, pp.619-630, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 31 Issue: 2
  • Publication Date: 2023
  • Doi Number: 10.1109/tfuzz.2022.3229061
  • Journal Name: IEEE Transactions on Fuzzy Systems
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Page Numbers: pp.619-630
  • Keywords: Analytic hierarchy process (AHP), fuzzy logic, inshoring, localization, offshoring, reshoring, transportation, GLOBAL SUPPLY CHAIN, TRANSACTION COST, RESILIENCE, MANAGEMENT, OPERATIONS, DRIVERS
  • Marmara University Affiliated: Yes

Abstract

IEEEWhile 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 paper offers a phronetic, customizable framework based on Lean Six Sigma (LSS). The framework mimics Define-Measure-Analyze-Improve-Control (DMAIC) process. The early phases of the framework, ex-ante, prescribe the use of a variety tools and techniques from Lean Six sigma (LSS) and employ fuzzy analytic hierarchy process (FAHP) to extract the vital few root-causes that may impede localization. The latter phases suggest the use of design of experiments (DOE) to evaluate the root-causes, ex-post. The paper outlines a clear and established procedure and demonstrates each analytical phase using evidence from a two-year real-world application in steel industry.