๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Some inventory problems with fuzzy shortage cost

โœ Scribed by Hideki Katagiri; Hiroaki Ishii

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
113 KB
Volume
111
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.

โœฆ Synopsis

This paper investigates an allocation problem of perishable commodities with fuzzy shortage cost based on LIFO issuing policy. Under the rotation allocation policy, commodities are distributed from a regional center to n locations in the region. Costs are charged at each location for every unit short, outdated and transported. But the unit shortage cost is considered to be ambiguous and so estimated as an L fuzzy number. The purpose of this paper is to clarify the di erence between optimal solution of nonfuzzy shortage cost case and that of the fuzzy shortage cost case. Furthermore, possibilities of inventory problems with other fuzzy costs are discussed.

๐Ÿ“œ SIMILAR VOLUMES

A stochastic inventory problem with fuzz
A stochastic inventory problem with fuzzy shortage cost
โœ Hiroaki Ishii; Tutomu Konno ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 235 KB

Up to now, many inventory models have been considered in the literature. Some assume stochastic demands and others consider the deterministic case. Though they include a shortage cost due to lost sales, it is usually assumed to be known concretely and a priori. This paper introduces fuzziness of sho

A stochastic inventory problem with piec
A stochastic inventory problem with piecewise quadratic costs
โœ Mahmut Parlar; Ryszarda Rempala ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 453 KB

In this paper we consider a periodic review inventory problem with stochastic demand. The deviations from ideal order and inventory levels are penalized using a quadratic cost structure which includes a "cost-free" interval. If the order quantity or the inventory level is within the desired "cost-fr