Abstract

We study a retailer selling perishable products with fixed lifetime. The retailer’s supply system is subject to random disruptions. Assuming a base-stock policy, deterministic demand and stationary cost parameters, we determine the expression for the optimal base-stock level. We show that if the retailer manages to make the system safer, it is possible to operate with the same expected cost even with products with shorter lifetimes. We conclude that the retailer should concentrate on reducing disruptions’ durations instead of their occurrence rate.

Highlights

  • Even well-managed supply chains can suffer from events resulting in supply disruptions

  • Only few works in the literature have considered the effects of disruptions on supply chains transporting perishable products. This is the first study to quantify the benefits of exercising the inventory mitigation strategy for a company carrying perishable products

  • We study a retailer carrying perishable products with fixed lifetime

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Summary

Introduction

Only few works in the literature have considered the effects of disruptions on supply chains transporting perishable products. This is the first study to quantify the benefits of exercising the inventory mitigation strategy for a company carrying perishable products. Most of the papers cited at these review articles try to either determine the best inventory replenishment policy or the parameters of a given replenishment policy under different assumptions on demand, transportation and cost structures. Our objective is to find the optimal base-stock level S∗, i.e. S that minimizes the expected cost per period C(S) Using this model as a base, in Sect. We determine the expression for C(S); with and without disruptions

Without disruptions
With disruptions
Numerical analysis
Sensitivity of the cost function to disruption parameters
Sensitivity of the cost function to lifetime
Applicability of the model to stochastic demand case
Time dependency of the disruption distribution
Conclusions
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