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

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  • Y. Sarada
  • S. Sangeetha

Abstract

In this study, a quasi-renewal process model with δ-shock is analyzed for a degenerative repairable supply chain with a single supplier source. The supplier of the supply chain system encounters shocks due to crisis events and, as a consequence, tends to fail if the interarrival time between two successive shocks is less than a random threshold. The non negligible repair time of the supplier and the random threshold time of shocks are modeled on a quasi renewal process while the shock arrivals are governed by a renewal process. The long-run average cost per unit time is derived by employing the reengineering strategy N, which is determined by the number of failures of the supplier. The optimal reengineering policy N∗ is obtained analytically by minimizing the long-run expected cost rate. Numerical illustrations and sensitivity analysis evidence the consideration of maintenance policy for a repairable supply chain to sustain its smooth running.

Suggested Citation

  • Y. Sarada & S. Sangeetha, 2022. "A δ-shock model for reengineering of a repairable supply chain using quasi renewal process," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 51(18), pages 6476-6501, September.
  • Handle: RePEc:taf:lstaxx:v:51:y:2022:i:18:p:6476-6501
    DOI: 10.1080/03610926.2020.1861466
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