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Optimisation of supply chain inventory for multiretail and multiitem class consumer product problems using genetic algorithm

Author

Listed:
  • Prasun Das
  • Subhasis Chaudhury

Abstract

Maintaining a smooth supply chain between the retail outlets and the warehouse is one of the key aspects of any retail-chain business. This study makes an attempt to solve various multiobjective optimisation problems involving key parameters of supply chain system viz., maximisation of service level and sale throughput and minimisation of inventory cost under retail class and footwear class constraints along with capacity and budget limitations for the warehouse. Using non-dominated sorting Genetic Algorithm (GA), four different models are suggested for the decision-maker to choose based on the preference of the objective function or some hitherto unstated constraints. The sensitivity analysis for the buffer level of the warehouse is also worked out.

Suggested Citation

  • Prasun Das & Subhasis Chaudhury, 2008. "Optimisation of supply chain inventory for multiretail and multiitem class consumer product problems using genetic algorithm," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 3(1), pages 33-73.
    • Handle: RePEc:ids:ijpqma:v:3:y:2008:i:1:p:33-73
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