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- Title
A parameter-tuned genetic algorithm to solve multi-product economic production quantity model with defective items, rework, and constrained space.
- Authors
Pasandideh, Seyed Hamid Reza; Niaki, Seyed Taghi Akhavan; Mirhosseyni, Seyedeh Sameieh
- Abstract
The economic production quantity (EPQ) model is often used in manufacturing environments to assist firms in determining the optimal production lot size that minimizes the overall production–inventory costs. While there are some unrealistic assumptions in the EPQ model that limit its real-world applications, in this research, some of these assumptions such as (1) infinite availability of warehouse space, (2) all of the produced items being perfect, and (3) the existence of one product type are relaxed. In other words, we develop a multi-product EPQ model in which there are some imperfect items of different product types being produced such that reworks are allowed and that there is a warehouse space limitation. Under these conditions, we formulate the problem as a nonlinear integer-programming model and propose a genetic algorithm to solve it. At the end, a numerical example is presented to identify the optimal values of the genetic algorithm parameters and to illustrate the applications of the proposed methodology to more realistic real-world problems.
- Subjects
GENETIC algorithms; PRODUCTION control; WAREHOUSES; COMBINATORIAL optimization; MANAGEMENT science; COMMERCIAL buildings
- Publication
International Journal of Advanced Manufacturing Technology, 2010, Vol 49, Issue 5-8, p827
- ISSN
0268-3768
- Publication type
Article
- DOI
10.1007/s00170-009-2432-x