Using a participatory simulation platform, this paper investigates the inventory replenishment decisions made under different trust categories. Depending on the type of trust (trust in supplier versus trust in customer) and level of trust (high versus low), each decision is categorized and analyzed. We investigate how the inventory manager`s ordering behavior varies regarding their type and lev...

We discuss the retailer’s optimal replenishment policy for seasonal products with a ramptype demand pattern. In this study, we focus on “Special Display Goods”, which are heaped up in end displays or special areas at retail store. They are sold at a fast velocity when their quantity displayed is large, but are sold at a low velocity if the quantity becomes small. We develop the model with a fin...

Today's competitive and dynamic environment forces companies to be highly responsive and customer oriented to survive and be successful. Short cycle time operation enables a warehouse manager to be more responsive, flexible and competitive. For example, it more easily handles insertion of late arriving but high priority orders into picking operation. However, to operate in a short cycle environ...

We consider a deterministic pricing and replenishment model in which the retailer advertises a fixed price and the selling schedule, and customers can advance or delay their time of purchase incurring holding or shortage costs. We investigate the impact of heterogeneity in the customers’ reservation prices. We show that the resulting optimal solution may be very different from that obtained whe...

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 to be satisfied. In order to satisfy demand, orders of the item types must be placed in advance of the due da...

  We discuss the effects of inflation and time discounting on an EOQ model for deteriorating items under stock-dependent demand and time-dependent partial backlogging. The inventory model is studied under the replenishment policy starting with no shortages. We then use MATLAB to find the optimal replenishment policies. The objective of this model is to maximize the total profit (TP) which inclu...

Vendor managed inventory is a continuous replenishment program that is designed to provide major cost saving benefits for both vendors and retailers. Previous research on this area mainly included single objective optimization models where the objective is to minimize the total supply chain costs or to maximize the total supply chain benefits. This paper presents a bi-objective mathematical mod...

A novel clustering algorithm is proposed and applied to the multi-item replenishment processing. This new algorithm has two distinguished features: non-binary hierarchical tree and the feature of overlapping clustering. A non-binary hierarchical tree is much smaller than the binary-trees constructed by most traditional algorithms and, therefore, it clearly highlights meaningful clusters which s...

In this article, we deal with the problem of determining the economic operating policy when a number of items are to be procured from a number of suppliers offering different quantity discounts schedules. In such inventory problems, a fixed cost is incurred with each replenishment order, independent of the suppliers as well as the items involved in the order. Further, the item involves a minor ...

Traditionally, inventory management experts have calculated a fixed economic order quantity (EOQ) that minimizes the cost of ordering and keeping stock. Some organizations use fixed maximum and minimum order quantity (MOQ) which ranges around EOQ for stocking various parts. These quantities are ordered at a specific stock level called the reorder point. The reorder point is calculated as the st...