International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2572

Full Length Research Paper

Optimizing a multi-product and multi-supplier the economic production quantity model using genetic algorithm

Goran Ćirović1, Dragan Pamučar2*, Dragoljub Sekulović2 and Boban Äorović2      
1The Belgrade University College of Civil Engineering and Geodesy, 11000 Belgrade, Serbia. 2Military Academy, University of Defence, Pavla Jurisica Sturma 33, 11000 Belgrade, Serbia.  
Email: [email protected]

  •  Accepted: 12 December 2011
  •  Published: 09 January 2012

Abstract

In order to make the economic production quantity (EPQ) model more applicable to real-world production and inventory control problems, in this paper, we expand this model by assuming that some imperfect items of different product types are being produced such that reworks are allowed. In addition, we may have more than one product and supplier along with warehouse space and budget limitation. We show that the model of the problem is a constrained non-linear integer program and propose a genetic algorithm (GA) to solve it. Moreover, design of experiments is employed to calibrate the parameters of the algorithm for different problem sizes. At the end, a numerical example is presented to demonstrate the application of the proposed methodology.

 

Key words: Genetic algorithm, optimizing, design of experiments, imperfect items.