We present a continuous-review inventory model for tactical planning in a multi-item, multi-echelon service parts distribution system with time-based service level requirements. Our goal is to determine base stock levels for all items at all locations so that the service level agreements are met at minimum investment. We present exact time-based fill rate expressions for each item and efficient...

Available resources can often be limited with regard to the number of demands. In this paper we propose an approach for solving this problem using the mechanisms of multi-item auctions for allocating the resources to a set of software agents. We consider the resource allocation problem as a market with vendor and buyer agents participating in a multi-item auction. The agents exhibit different a...

Production lot-sizing has a special significance in supply chain taking into account the fact that majority of the lot-sizing problems are associated with NP-hard scheduling and sequencing problems. The complexity increases exponentially when multi-item capacitated dynamic lot-sizing is considered. The basic economic production quantity (EPQ) model minimizes the sum of setup and holding cost un...

Based on historical user information, collaborative filters predict for a given user the classification of unknown items, typically using a single criterion. However, a crowd typically rates tourism resources using multi-criteria, i.e., each user provides multiple ratings per item. In order to apply standard collaborative filtering, it is necessary to have a unique classification per user and i...

Data scheduling for on-demand broadcast has been studied extensively in the past few years. Most work has focused on single-item requests in single-channel architectures. However, this model is not practical for emerging mobile applications. This study investigates data scheduling for multi-item requests in multi-channel on-demand broadcast environments. The performance of several well known sc...

BACKGROUND The objectives of this systematic review are to examine how researchers report missing data in questionnaires and to provide an overview of current methods for dealing with missing data. METHODS We included 262 studies published in 2010 in 3 leading epidemiologic journals. Information was extracted on how missing data were reported, types of missing, and methods for dealing with mi...

We study a multi-item, two-echelon, continuous-review inventory problem at a Dutch utility company, Liander. We develop a model that optimizes the quantities of service parts and their allocation in the two-echelon network under an aggregate waiting time restriction. Specific aspects that we address are emergency shipments in case of stockout, and batching for regular replenishment orders at th...

The deregulation of the electricity industry in many countries has created a number of marketplaces in which producers and consumers can operate in order to more effectively manage and meet their energy needs. To this end, this paper develops a new model for electricity retail where end-use customers choose their supplier from competing electricity retailers. The model is based on simultaneous ...

over the years, a variety of algorithms for finding frequent item sets in very large transaction databases have been developed. The problems of finding frequent item sets are basic in multi level association rule mining, fast algorithms for solving problems are needed. This paper presents an efficient version of apriori algorithm for mining multi-level association rules in large databases to fi...

We consider a multi-item spare parts optimization problem with multiple warehouses and two customer classes, where lateral transshipments are used as a differentiation tool. Specifically, premium requests that cannot be met from stock at their preferred warehouse may be satisfied from stock at other warehouses (so-called lateral transshipments). We first derive approximations for the mean waiti...