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A two-phase metaheuristic approach for solving Economic Lot Scheduling Problems

Author

Listed:
  • C. Chandrasekaran
  • Chandrasekharan Rajendran
  • O.V. Krishnaiah Chetty
  • D. Hanumanna

Abstract

In this paper, economic lot scheduling problem is investigated using time-varying lot sizes approach. The process of finding the best production sequence consists of two-phase implementation of metaheuristics. In the first phase, we propose a genetic algorithm that makes use of the proposed new lower bound to arrive at the good set of production frequencies of products for ELSP without/with backorders. In the second phase, the best sequence of part production is achieved by using the above set of frequencies and employing a GA and an ant-colony algorithm. Computational experiments reveal the effectiveness of the two-phase approach over the conventional single-phase approach.

Suggested Citation

  • C. Chandrasekaran & Chandrasekharan Rajendran & O.V. Krishnaiah Chetty & D. Hanumanna, 2009. "A two-phase metaheuristic approach for solving Economic Lot Scheduling Problems," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 4(3), pages 296-322.
    • Handle: RePEc:ids:ijores:v:4:y:2009:i:3:p:296-322
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