Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79629
Title: Optimization of product refurbishment in closed-loop supply chain using multi-period model integrated with fuzzy controller under uncertainties
Authors: Chen, YT 
Chan, FTS 
Chung, SH 
Park, WY 
Keywords: Closed-loop supply chain
Product recovery
Product refurbishment
Fuzzy logic
Decision support system
Simulation
Issue Date: 2018
Publisher: Pergamon Press
Source: Robotics and computer - integrated manufacturing, Apr. 2018, v. 50, p. 1-12 How to cite?
Journal: Robotics and computer - integrated manufacturing 
Abstract: 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.
URI: http://hdl.handle.net/10397/79629
ISSN: 0736-5845
DOI: 10.1016/j.rcim.2017.05.005
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