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Fault tolerance modeling for an e-waste recycling supply chain

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  • Chen, Yenming J.
  • Sheu, Jiuh-Biing
  • Lirn, Taih-Cherng

Abstract

This paper applies a fault-tolerant method that addresses the problem of steady fulfillment in an e-waste recycling supply chain. Due to the double-ended fluctuations in this supply chain, conventional, optimization based, model predictive control cannot be applied without proper improvement. This paper contributes to the e-waste management literature in the initiation of prudent demand management. The inventory management problem is investigated for a double-ended fluctuation for the e-waste recycling supply chain. It is found that the risk-sensitive predictive control method allows all members to retain a constant inventory level, for which the control target is unclear and the demand fluctuation is high.

Suggested Citation

  • Chen, Yenming J. & Sheu, Jiuh-Biing & Lirn, Taih-Cherng, 2012. "Fault tolerance modeling for an e-waste recycling supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 897-906.
    • Handle: RePEc:eee:transe:v:48:y:2012:i:5:p:897-906
    DOI: 10.1016/j.tre.2012.02.005
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    3. Hao Yu & Wei Deng Solvang, 2017. "A multi-objective location-allocation optimization for sustainable management of municipal solid waste," Environment Systems and Decisions, Springer, vol. 37(3), pages 289-308, September.
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