Abstract: Problem statement: There are numerous difficulties associated with replenishing intermittent demand items and these are compounded when the demand distribution(s) vary seasonally. Excess inventories during an “off ” season are typical, while shortages frequently occur during the “in

. However, the solution given by author is incomplete because that fails to depict the case for optimal replenishment policy. In this article, the criteria for optimal solution of the considered model are found and the relevance of associated factors is discussed.

This paper discusses a distribution system with M items (or suppliers), N identical retailers, and a warehouse responsible for the replenishment of the system under random demand. There is room for improvement in the performance of the distribution system if one considers the opportunities

Abstract–The present study discusses the retailer’s optimal replenishment policy for products with a sea-sonal demand pattern. The demand of seasonal mer-chandise such as clothes, sporting goods, children’s toys and electrical home appearances tends to de-crease with time. In this study, we focus

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The joint replenishment problem is a fundamental model in supply chain management theory that has applications in inventory management, logistics, and maintenance scheduling. In this problem, there are multiple item types, each having a given time-dependent sequence of demands that need

optimal replenishment and pricing policy that tries to maximize the total net present-value pro"t. A numerical example is implemented to illustrate the theory.

In the present model, we study an inventory model for deteriorating items with constant demand rate and instantaneous replenishment ie the demand rate is piecewise linear function. The deterioration rate is assumed as constant and we have proposed an inventory replenishment policy for this type

a b s t r a c t a r t i c l e i n f o The optimal replenishment policy for an economic production quantity (EPQ)-based inventory model with nonconforming items and breakdown is presented. A real-life production system inevitably generates nonconforming items and has equipment breakdowns owing

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