Computational Intelligence in Used Products Retrieval and Reproduction

Wen-Jing Gao, Bo Xing and Tshilidzi Marwala
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Wen-Jing Gao: Department of Electrical and Electronic Engineering, University of Johannesburg, Johannesburg, South Africa
Bo Xing: Department of Electrical and Electronic Engineering, University of Johannesburg, Johannesburg, South Africa
Tshilidzi Marwala: Department of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa

International Journal of Swarm Intelligence Research (IJSIR), 2013, vol. 4, issue 1, 78-124

Abstract: Remanufacturing has become a superior option for product recovery management system. It mainly consists of three stages: retrieval, reproduction, and redistribution. So far, many different approaches have been followed in order to improve the efficiency of a remanufacturing process. However, as the complexity increases, the use of computational intelligence (CI) in those problems is becoming a unique tool of imperative value. In this paper, different CI methods, such as artificial neural network (ANN), ant colony optimization (ACO), biogeography-based optimization (BBO), cuckoo search (CS) and fuzzy logic (FL), are utilized to solve the problems involved in retrieval and reproduction stages for remanufacturing. The key issues in implementing the proposed approaches are discussed, and finally the applicability of the proposed methods are illustrated through different examples.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jsir00:v:4:y:2013:i:1:p:78-124

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