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Harmony Search Algorithm For Solvingâ Two Aggregate Production Planning Models With Breakdowns And Maintenance

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  • Esmaeil MEHDIZADEH
  • Amir Aydin Atashi ABKENAR

Abstract

Aggregate Production planning (APP) and preventive maintenance (PM) are most important issue carried out in manufacturing environments which seeks efficient planning, scheduling and coordination of all production activities that optimizes the company's objectives. In this paper, we develop two mixed integer linear programming (MILP) models for an integrated aggregate production planning system with return products, breakdowns and preventive maintenance. The goal is to minimize production breakdowns and Preventive maintenance costs and instabilities in the work force, inventory levels and downtimes, also effect of PM on the objective function. Additionally, Taguchi method is conducted to calibrate the parameter of the meta-heuristic and select the optimal levels of the algorithm’s performance influential factors. Due to NP-hard class of APP, we implement a harmony search (HS) algorithm for solving these models. Finally, computational results show that, the objective values obtained by APP with PM are better from APP with breakdowns results.

Suggested Citation

  • Esmaeil MEHDIZADEH & Amir Aydin Atashi ABKENAR, 2014. "Harmony Search Algorithm For Solvingâ Two Aggregate Production Planning Models With Breakdowns And Maintenance," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 8(1), pages 306-320, November.
    • Handle: RePEc:rom:mancon:v:8:y:2014:i:1:p:306-320
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