Optimization of product refurbishment in closed-loop supply chain using multi-period model integrated with fuzzy controller under uncertainties

Y. T. Chen, Tung Sun Chan, Sai Ho Chung, Woo-yong Park

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)


Nowadays, product refurbishment is one of the most profitable and environmental benefit processes, drawing more and more attention from both product manufacturers and customers. This paper structures and optimizes the process of product refurbishment, considering inventories and uncertainties. A multi-period model is established. To deal with the uncertainties, an innovative fuzzy controller embedded with a quality indicator is proposed. Numerical experiments have been carried out to test and demonstrate the optimization quality of the proposed method. The results of numerical experiments proved the effectiveness of the proposed fuzzy controller, that can deal with the uncertainties of supply and demand in an efficient way.

Original languageEnglish
Pages (from-to)1339-1351
Number of pages13
JournalRobotics and Computer-Integrated Manufacturing
Publication statusPublished - 1 Apr 2018


  • Closed-loop supply chain
  • Decision support system
  • Fuzzy logic
  • Product recovery
  • Product refurbishment
  • Simulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mathematics(all)
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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