Fuzzy Random EOQ Models with Imperfect Quality Items

Author

Wang, Xiao-Bin ; Tang, Wan-sheng ; Xue, Feng

Author_Institution

Inst. of Syst. Eng., Tianjin Univ.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

1861

Lastpage

1866

Abstract

This paper investigates the economic order quantity (EOQ) inventory problem with imperfect quality items, where the percentages of defective items and poor-quality items in each delivered lot are assumed to be random variables, and the inspection cost, holding cost, ordering cost are characterized as fuzzy variables, respectively. The fuzzy random expected value EOQ model and fuzzy random dependent chance programming (DCP) model are constructed. In addition, a particle swarm optimization (PSO) algorithm based on fuzzy random simulation is designed to solve the presented DCP model. Finally, the effectiveness of the algorithm is illustrated by a numerical example

Keywords

fuzzy set theory; industrial economics; inspection; inventory management; lot sizing; particle swarm optimisation; random processes; PSO algorithm; economic order quantity inventory problem; fuzzy random EOQ models; fuzzy random dependent chance programming model; fuzzy random simulation; fuzzy variables; holding cost; imperfect quality items; inspection cost; ordering cost; particle swarm optimization; Algorithm design and analysis; Chromium; Costs; Cybernetics; Finance; Fuzzy sets; Fuzzy systems; Inspection; Machine learning; Particle swarm optimization; Random variables; Systems engineering and theory; Inventory; PSO algorithm; fuzzy random variable; fuzzy variable;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.259051

Filename

4028368