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A fuzzy multi-objective goal programming model for solving an aggregate production planning problem with uncertainty

Author

Listed:
  • Hadi Mosadegh
  • Ehsan Khakbazan
  • Ali Salmasnia
  • Hadi Mokhtari

Abstract

The aggregate production planning problem is one of the well-known planning problems in industries and manufacturing systems. It is implemented at an aggregated level without the need to provide detailed information about material and resource requirements for individual products. A multi-objective aggregate production planning problem is studied in current paper with four criteria, namely: 1) shortage and inventory; 2) overtime and idle time; 3) manpower level; 4) currency saving in a mid-term planning horizon. After describing the problem, a goal programming model is presented to formulate the problem mathematically and then a fuzzy goal programming model is utilised to encounter the uncertainties encountered in real-world systems. Unlike many previous works, this paper proposes a linear programming model which is solvable in a short time. Finally, to evaluate the performance, both models are verified with real data.

Suggested Citation

  • Hadi Mosadegh & Ehsan Khakbazan & Ali Salmasnia & Hadi Mokhtari, 2017. "A fuzzy multi-objective goal programming model for solving an aggregate production planning problem with uncertainty," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 9(2), pages 97-115.
    • Handle: RePEc:ids:ijidsc:v:9:y:2017:i:2:p:97-115
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    Cited by:

    1. Habib Zare & Mahyar Kamali Saraji & Madjid Tavana & Dalia Streimikiene & Fausto Cavallaro, 2021. "An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization," Sustainability, MDPI, vol. 13(22), pages 1-15, November.

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