Fault tolerance modeling for an e-waste recycling supply chain

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.

► 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.