Clustering is the process of analyzing data to find clusters of data objects that are similar in some sense to one another. Some research studies have also extended the usage of clustering concept in inventory management. Yet, not many research studies have considered the application of...

A modified framework that applies temporal association rule mining to inventory management is proposed in this article. The ordering policy of frequent items is determined and inventory is classified based on loss rule. This helps inventory managers to determine optimum order quantity of...

In this paper, we propose an inventory model where items are inspected through multiple screening processes on varies quality characteristics before delivery to customers. Each screening process on a single quality characteristic has independent screening rate and defective percentage. Defective...

Researchers have recently developed a model for international supply chains for transferring lots in equal-sized batches, taking environmental concerns into account. This scheme incorporated stochastic behaviour of the exchange rate between the vendor's and buyer's currencies as part of the...

Ever since the basic Economic Order Quantity (EOQ) model was introduced, several researchers and academicians extended and/or altered it, to reduce its unrealistic assumptions and make it more suitable and appropriate to the real world. The traditional EOQ Models assume constant demand and...