We treat the class of n job - m machine scheduling problems with job processing times dependent on the number of jobs being simultaneously processed in the system at any point in time. Such systems occur when jobs are assigned to multiple parallel processors driven by a common power source. In...

This paper examines the subject of cost allocation in a multiple product inventory system, allowing for consolidation of shipments. If we order multiple items using an economic order quantity (EOQ) policy, and consolidate shipments, part of the ordering cost is shared, and part is specific to...

A finite set of outlets with randomly fluctuating demands bands together to reduce costs by buying, storing and distributing their inventory jointly. This is termed inventory centralization and is a type of risk pooling. The expected centralization cost can be lowered even further, without...

We view an administrative activity of issuing parking tickets in a dense city street setting, like downtown Philadelphia or NYC, as a revenue collection activity. The task of designing parking permit inspection routes is modeled as a revenue collecting Chinese Postman Problem. After...

In this paper we examine the biform games modeling framework. More specifically, we recast biform games as two-stage stochastic programming with recourse. The two-stage stochastic programming view of biform games is demonstrated in this paper on an example from Brandenburger and Stuart (2007)...

Joint replenishment for several products to achieve a lower inventory logistics cost has been a topic of extensive studies. Less attention has been paid to the issue of deciding how the joint replenishment costs should be allocated across the individual products. Ideally, when items are ordered...

This paper discusses a family of two-stage decentralized inventory problems using a unifying framework (taxonomy) depicted as a multilevel graph. This framework allows us to model and link different problems of competing retailers who independently procure inventory in response to uncertain...