In this paper a new approach is proposed to handle the uncertain input value in the aggregate production planning model.Generally aggregate production planning models have been developed by considering certain value of each parameter over a planning horizon. But in real life these values are not remain certain over a planning horizon rather uncertain.The main objective of this proposed appraoch is to find out the minimum total aggregate production planning cost considering uncertain input value. Hence, random value is considered from specific data range of each parameter of a specific automobile facory and finally compares the results with previous different approaches.
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