Resource optimization for cancer pathways with aggregate diagnostic demand: a perishable inventory approach

An Approach for the Estimation of Aggregate Potential Telecommuting Demand

Development of technology has made possible the invention of innovative and modern methods to solve partially the problems caused by traffic congestion, through decreasing the need for physical transportation; one such method being telecommuting. Few predictions have been reported regarding its aggregate demand at the level of a city, generally because of the complexity and multi-dimensionality...

Inventory control for a perishable product with non-stationary demand and service level constraints

We study the practical production planning problem of a food producer facing a non-stationary erratic demand for a perishable product with a fixed life time. In meeting the uncertain demand, the food producer uses a FIFO issuing policy. The food producer aims at meeting a certain service level at lowest cost. Every production run a set-up cost is incurred. Moreover, the producer has to deal wit...

Bi-objectives Approach for a Multi-period Two Echelons Perishable Product Inventory-routing Problem with Production and Lateral Transshipment

In this study, a two echelons supply chain system in which a supplier is producing perishable product and distribute it to multiple customers is considered. By allowing lateral transshipment mechanism, it is also possible to deliver products to some customers in some periods in bulk, then customers using their own vehicle to transship goods between each other seeking further reduction in the ov...

Perishable Inventory System with a Finite Population and Repeated Attempts

A single server perishable inventory system with N additional options for service

This article presents a perishable (s; S) inventory system under continuous review at a service facility in which a waiting hall for customers is of nite size M. The arrival instants of customers to the service station constitutes a Poisson process. The life time of each items is assumed to be exponential. All arriving customers demand the rst "essential" service, whereas only some of them dema...