Highlights ► We study the order fulfilment problem in the e-waste recycling supply chain. ► We aim to the condition under which the control target is unclear and the demand fluctuation is high. ► An application of a modified model predictive control is proposed. ► We exploit a risk-sensitive predictive filter in lieu of the existing optimal controller. ► We find that our fulfilment method allows all members to retain a constant inventory level.

    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.


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    Title :

    Fault tolerance modeling for an e-waste recycling supply chain


    Contributors:


    Publication date :

    2012-02-04


    Size :

    10 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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