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

Hadi Mosadegh, Ehsan Khakbazan, Ali Salmasnia and Hadi Mokhtari

International Journal of Information and Decision Sciences, 2017, vol. 9, issue 2, 97-115

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.

Keywords: aggregate production planning; multi-objective optimisation; fuzzy goal programming. (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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