An EPQ model with promotional demand in random planning horizon: population varying genetic algorithm approach
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One of the economic production quantity problems that have been of interest to researchers is the production with reworking of the imperfect items including waste most disposal form and vending the units. The available models in the literature assumed that the decay rate of the items is satisfied from three different points of view: (i) minimum demands of the customer’s requirement, (ii) demands to be enhanced for lower selling price and (iii) demands of the customers who are motivated by the advertisement. The model is developed over a finite random planning horizon, which is assumed to follow the exponential distribution with known parameters. The model has been illustrated with a numerical example, whose parametric inputs are estimated from market survey. Here the model is optimized by using a population varying genetic algorithm.
KeywordsMulti-item Imperfect production Inflation Promotional demand Random planning horizon ANOVA test
The authors are heartily thankful to the Honorable Reviewers for their contractive comments to improve the quality of the paper.
- Dey, J. K., Kar, S., & Maiti, M. (2004). An EOQ model with fuzzy lead time over a finite time horizon under inflation and time value of money. Tamsui Oxford Journal of Management Sciences, 20, 57–77.Google Scholar
- Dubois, D., & Prade, H. (1980). Fuzzy sets and system-theory and application. New York: Academic.Google Scholar
- Goldberg, D. E. (1989). Genetic algorithms: Search, optimization and machine learning. Massachusetts: Addison Wesley.Google Scholar
- Michalewicz, Z. Genetic Algorithms + Data Structures= Evolution Programs. Springer(Indian) Private Ltd., (2009), Chapter 2 & 3.Google Scholar