An EPQ model with promotional demand in random planning horizon: population varying genetic algorithm approach
A. K. Manna (),
B. Das (),
J. K. Dey () and
S. K. Mondal ()
Additional contact information
A. K. Manna: Vidyasagar University
B. Das: Sidho-Kanho-Birsha University
J. K. Dey: Mahishadal Raj College
S. K. Mondal: Vidyasagar University
Journal of Intelligent Manufacturing, 2018, vol. 29, issue 7, No 7, 1515-1531
Abstract 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.
Keywords: Multi-item; Imperfect production; Inflation; Promotional demand; Random planning horizon; ANOVA test (search for similar items in EconPapers)
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