Title
Storage-Space Capacitated Inventory System with (r, Q) Policies
Abstract
We deal with an inventory system with limited storage space for a single item or multiple items. For the single-item system, customers' demand is stochastic. The inventory is controlled by a continuous-review (r, Q) policy. Goods are replenished to the inventory system with a constant lead time. An optimization problem with a storage-space constraint is formulated for computing a single-item (r, Q) policy that minimizes the long-run average system cost. Based on some existing results in the single-item (r, Q) policy without a storage-space constraint in the literature, useful structural properties of the optimization problem are attained. An efficient algorithm with polynomial time computational complexity is then proposed for obtaining the optimal solutions. For the multi-item system, each item possesses its particular customers' demand that is stochastic, its own (r, Q) policy that controls the inventory, and its individual lead time that is constant. An important issue in such inventory systems is the allocation of the storage space to the items and the values of r and Q for each item. We formulate an optimization problem with a storage-space constraint for multi-item (r, Q) policies. Based on the results in the single-item (r, Q) policy with a storage-space constraint, we find useful structural properties of the optimization problem. An efficient algorithm with polynomial time computational complexity is then proposed for obtaining undominated solutions.
Year
DOI
Venue
2007
10.1287/opre.1070.0394
Operations Research
Keywords
Field
DocType
constant lead time,single-item system,useful structural property,storage-space capacitated inventory system,multi-item system,polynomial time computational complexity,inventory system,optimization problem,storage-space constraint,efficient algorithm,long-run average system cost,polynomial time,computational complexity,algorithm,programming
Mathematical optimization,Inventory control,Average cost,Lead time,Inventory system,Time complexity,Optimization problem,Mathematics,Operations management,Computational complexity theory,Constrained optimization
Journal
Volume
Issue
ISSN
55
5
0030-364X
Citations 
PageRank 
References 
10
0.63
5
Authors
4
Name
Order
Citations
PageRank
Xiaobo Zhao111716.07
Fan Fan2100.63
Xiaoliang Liu3222.85
Jinxing Xie428521.29