Abstract—This paper proposes the two phase approximation method (2-PAM) based primarily on the concept of dynamic programming and metaheuristic. The multi-objective aggregate production planning (APP) model is solved by a pair of mathematical approaches. The desirability function approach was implemented to compromise all objectives of the aggregate production planning decision problem. The metaheuristic of bat and bee algorithms are first applied to provide the initial solutions in each stage. The dynamic programming approach is followed to combine all solutions. It was found that the results obtained from the proposed method based on bat algorithm can provide more effective and informative APP and more chance to achieve the optimal disaggregate plan when compared to the other variant of 2-PAM with bee algorithm.
Index Terms—Aggregate production planning, desirability function, two phase approximation algorithm, bat algorithm, bee algorithm, dynamic programming.
P. Luangpaiboon is with Industrial Statistics and Operational Research Unit (ISO-RU), Department of Industrial Engineering, Faculty of Engineering, Thammasat University, 12120, Thailand (e-mail: lpongch@engr.tu.ac.th).
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Cite: Pongchanun Luangpaiboon, "Two Phase Approximation Method Based on Bat Algorithm on Multi-objective Aggregate Production Planning," International Journal of Modeling and Optimization vol. 7, no. 6, pp. 370-374, 2017.
