DocumentCode
351336
Title
Solving fuzzy problems in operations research: inventory control
Author
Buckley, James J. ; Feuring, Thomas ; Hayashi, Yoichi
Author_Institution
Dept. of Math., Alabama Univ., Birmingham, AL, USA
Volume
1
fYear
2000
fDate
7-10 May 2000
Firstpage
352
Abstract
We are interested in generating good approximate solutions to single item, N-period, fuzzy inventory control problems. It is a fuzzy inventory control problem since some of the parameters (ordering cost, holding cost, penalty cost) can be fuzzy numbers. We consider two cases: (1) demand is known each period, and (2) demand is unknown, and fuzzy each period. We employ an evolutionary algorithm to search out good approximate solutions
Keywords
decision theory; evolutionary computation; fuzzy set theory; minimisation; search problems; stock control; evolutionary algorithm; fuzzy problems; good approximate solutions; holding cost; operations research; ordering cost; penalty cost; single item N-period fuzzy inventory control problems; Computer science; Cost function; Equations; Evolutionary computation; Fuzzy control; Inventory control; Mathematics; Operations research;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1098-7584
Print_ISBN
0-7803-5877-5
Type
conf
DOI
10.1109/FUZZY.2000.838685
Filename
838685
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