$$\delta $$-Shock Supply Chain Reengineering Decision Model Under Weibull Distribution

A δ-shock model for reengineering of a repairable supply chain using quasi renewal process

“…clearly, the value of E½X n in the equation above agrees with E½X n in Tan et al (2014) with ¼ h À1 g and g ¼ j thereby,…”

“…This paper generalizes Tan et al (2014) d-shock model for a degenerative and repairable supply chain that uses the quasi renewal process for random threshold failures. The long-run average cost rate and the optimal reengineering strategy for the supply chain system are determined.…”

“…Within the supply chain, the d-shock model reflects the frequency of shocks faced by the supplier, since it is not possible for the supplier to withstand repeated shocks in short intervals. Tan et al (2014) made the first attempt to analyze the supply chain as a repairable system and provided reengineering decision policy through the shock model via GP. The present study extends the seminal work of this paper by generalizing the threshold time of shocks at the supplier to be random and governed by Quasi Renewal Process (QRP).…”

“…To the best of the authors' knowledge, treating the d-shock model with random threshold time of shocks at the supplier via QRP has not been analyzed from the viewpoint of the supply chain. The novelty of this study can therefore be seen as an extension of the work by Tan et al (2014) on the application of d-shock through QRP to model the unexpected shock events encountered by suppliers in the supply chain. The core idea of the paper is to provide an optimal reengineering policy for the supplier of a degenerative repairable supply chain system.…”