Effective knowledge management (KM) enhances products, improves operational efficiency, speeds deployment, increases sales and profits, and creates customer satisfaction. Data warehousing provides an infrastructure that enables business to extract, and store vast amounts of corporate data. The purpose of data warehouse is to empower the knowledge workers with information that allows them to mak...

In this paper, a multi-product continues review inventory control problem within batch arrival queuing approach (MQr/M/1) is modeled to find the optimal quantities of maximum inventory. The objective function is to minimize summation of ordering, holding and shortage costs under warehouse space, service level, and expected lost-sales shortage cost constraints from retailer and warehouse viewpoi...

R etailers must constantly strive for excellence in operations; extremely narrow profit margins leave little room for waste and inefficiency. This article reports a retailer’s challenge to balance transportation, shelf space, and inventory costs. A retailer sells multiple products with stochastic demand. Trucks are dispatched from a warehouse and arrive at a store with a constant lead time. Eac...

Contemporary business information systems record business events in event logs. Process mining techniques permit to explore these logs to understand and analyze processes. Although, there are a number of case studies demonstrating usefulness of process mining techniques in real-life case studies, process conformance check techniques miss such practical evaluation. Also the commercial tools have...

In most production-inventory systems, the products are transferred from the production centre to the inventory (warehouse) in subbatchs rather than one at a time. In this paper, mathematical models of such systems for both deterministic and stochastic cases of demand are developed and analysed. Comparison of these new models with the EBQ model shows a considerable loss when applying the ru...

This study is an extension of the Joint Replenishment Problem (JRP) that takes into accounts the warehouse-space restrictions in a distribution center. The focus of this study is to determine the lot sizes of each product under power-of-two policy to minimize the total costs per unit time and to generate a feasible replenishment schedule of multiple products without exceeding the available war...

Purpose – An aircraft manufacturer faces the problem of allocating inventory to a set of distributed warehouses in response to random, nonstationary demands. There is particular interest in managing high value, low volume spare parts which must be available to respond to low-frequency demands in the form of random failures of major components. The aircraft fleet is young and in expansion. In ad...

Abstract In this paper a deterministic supply chain inventory model has been developed for deteriorating items having a ramp type demand with the effects of inflation with two-storage facilities and Economic Load Dispatch Problem Using Genetic Algorithm.. The owned warehouse (OW) has a fixed capacity of W units; the rented warehouse (RW) has unlimited capacity. Here, we assumed that the invento...

Optimization of inventory costs is the most important goal in industries. But in many models, the constraints are considered simple and relaxed. Some actual constraints are to consider the combinatorial production and purchase models in multi-products environment. The purpose of this article is to improve the efficiency of inventory management and find the economic order quantity and economic p...