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author:

Liu, B. (Liu, B..) [1] | Chen, W. (Chen, W..) [2] | Segerstedt, A. (Segerstedt, A..) [3] | Yang, H. (Yang, H..) [4] | Zhang, Q. (Zhang, Q..) [5]

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Abstract:

Determining a rational planned lead time (PLT) is a critical and difficult problem in production planning, especially for a remanufacturing system. This paper considers an optimisation problem of the PLT in a make-to-order remanufacturing system to coordinate disassembly–remanufacturing–reassembly and to improve performance. This optimisation model is designed to determine the PLT that minimises the inventory holding and shortage costs. Given the unknown distribution of remanufacturing time but with known first and second moments, this model is solved by a min–max approach, which can capture distributions with the same first and second moments. How the PLT and total cost are affected by yield rate with different first and second moments, unit holding cost, unit shortage cost and purchasing lead time are also investigated through numerical examples in this paper. The results of this study are shown to be consistent with practice and can be a support to decision-making in production planning and scheduling for remanufacturing. © 2017 The Authors. International Transactions in Operational Research © 2017 International Federation of Operational Research Societies

Keyword:

make-to-order production; optimisation; partial distribution; planned lead time; remanufacturing

Community:

  • [ 1 ] [Liu, B.]Qi Shan Campus of Fuzhou University, 2 Xue Yuan Road, University Town, Fuzhou, Fujian 350108, China
  • [ 2 ] [Liu, B.]School of Management, Zhejiang University, Hangzhou, China
  • [ 3 ] [Chen, W.]School of Economics and Management, Southeast University, Nanjing, China
  • [ 4 ] [Segerstedt, A.]Industrial Logistics, Luleå University of Technology, Luleå, Sweden
  • [ 5 ] [Yang, H.]Qi Shan Campus of Fuzhou University, 2 Xue Yuan Road, University Town, Fuzhou, Fujian 350108, China
  • [ 6 ] [Zhang, Q.]Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai, China

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Source :

International Transactions in Operational Research

ISSN: 0969-6016

Year: 2019

Issue: 2

Volume: 26

Page: 485-506

2 . 9 8 7

JCR@2019

3 . 1 0 0

JCR@2023

ESI HC Threshold:143

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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