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Frontiers of Electrical and Electronic Engineering

ISSN 2095-2732

ISSN 2095-2740(Online)

CN 10-1028/TM

Front Elect Electr Eng Chin    2011, Vol. 6 Issue (3) : 443-452    https://doi.org/10.1007/s11460-011-0162-y
RESEARCH ARTICLE
Remanufacturing planning based on constrained ordinal optimization
Chen SONG1, Xiaohong GUAN2,3, Qianchuan ZHAO2, Qing-Shan JIA2()
1. Ubiquitous Energy Research Center, ENN Research and Development Corporation, Langfang 065001, China; 2. Center for Intelligent and Networked Systems, Department of Automation, TNLIST, Tsinghua University, Beijing 100084, China; 3. State Key Laboratory for Manufacturing Systems Engineering (SKLMS Lab) and Ministry of Education Key Laboratory for Intelligent Network and Network Security (MOE KLINNS Lab), Xi’an Jiaotong University, Xi’an 710049, China
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Abstract

Resource planning for a remanufacturing system is in general extremely difficult in terms of problem size, uncertainties, complicated constraints, etc. In this paper, we present a new method based on constrained ordinal optimization (COO) for remanufacturing planning. The key idea of our method is to estimate the feasibility of plans by machine learning and to select a subset with the estimated feasibility based on the procedure of horse racing with feasibility model (HRFM). Numerical testing shows that our method is efficient and effective for selecting good plans with high probability. It is thus a scalable optimization method for large scale remanufacturing planning problems with complicated stochastic constraints.

Keywords remanufacturing systems      constrained ordinal optimization (COO)      simulation-based optimization      machine learning     
Corresponding Author(s): JIA Qing-Shan,Email:jiaqs@tsinghua.edu.cn   
Issue Date: 05 September 2011
 Cite this article:   
Chen SONG,Xiaohong GUAN,Qianchuan ZHAO, et al. Remanufacturing planning based on constrained ordinal optimization[J]. Front Elect Electr Eng Chin, 2011, 6(3): 443-452.
 URL:  
https://academic.hep.com.cn/fee/EN/10.1007/s11460-011-0162-y
https://academic.hep.com.cn/fee/EN/Y2011/V6/I3/443
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