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Aggregate planning is an analytical tool that proposes a strategy to meet demand according to the capacity constraints. In this paper, aggregate planning strategies are discussed and a special structure of transportation model is investigated for the aggregate planning purpose of “Bangladesh Cable Shilpa Ltd, Khulna”. For this transportation problem, all the unit costs, supplies, demands & other values are taken from a case study. The forecasting demand values are determined using Single Exponential Smoothing Forecasting technique. Transportation model & the Transportation algorithm is discussed in this paper. A real life unbalanced transportation problem is discussed and solved to bring the most efficient technique of reducing transportation and storage cost. Vogel Approximation Method (VAM) algorithm is also discussed & used to determine the starting solution of the transportation model. Finally, TORA software is used to find the optimum cost by using transportation method.

Aggregate Planning Using Transportation Method: A Case Study In Cable Industry