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Optimization on Production-Inventory Problem with Multistage and Varying Demand
Joint Authors
Gang, Duan
Yin-Zhen, Li
Jie-Yan, Song
Tanweer, Akhtar
Li, Chen
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-13
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
This paper addresses production-inventory problem for the manufacturer by explicitly taking into account multistage and varying demand.
A nonlinear hybrid integer constrained optimization is modeled to minimize the total cost including setup cost and holding cost in the planning horizon.
A genetic algorithm is developed for the problem.
A series of computational experiments with different sizes is used to demonstrate the efficiency and universality of the genetic algorithm in terms of the running time and solution quality.
At last the combination of crossover probability and mutation probability is tested for all problems and a law is found for large size.
American Psychological Association (APA)
Gang, Duan& Li, Chen& Yin-Zhen, Li& Jie-Yan, Song& Tanweer, Akhtar. 2012. Optimization on Production-Inventory Problem with Multistage and Varying Demand. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-1028959
Modern Language Association (MLA)
Gang, Duan…[et al.]. Optimization on Production-Inventory Problem with Multistage and Varying Demand. Journal of Applied Mathematics No. 2012 (2012), pp.1-17.
https://search.emarefa.net/detail/BIM-1028959
American Medical Association (AMA)
Gang, Duan& Li, Chen& Yin-Zhen, Li& Jie-Yan, Song& Tanweer, Akhtar. Optimization on Production-Inventory Problem with Multistage and Varying Demand. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-1028959
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1028959