Dynamic Programming Approach in Aggregate Production Planning Model under Uncertainty

In order to achieve a competitive edge in the market, one of most essential components effective operations management is aggregate production planning, abbreviated as APP. The sources uncertainty discussed APP model include demand, costs, and storage costs. problem usually involves many imprecise, conflicting incommensurable objective functions. application real conditions often inaccurate, because some information incomplete or cannot be obtained. aim this study develop under with dynamic programming (DP) approach meet consumer demand minimize total costs during planning period. includes several parameters including market inventory levels capacity. After describing problem, optimal formulated using artificial neural network (ANN) techniques forecasting process fuzzy logic (FL) DP framework. ANN technique used forecast input for cost period FL framework accommodate uncertainties. historical data obtained through interviews. A case was conducted on need aluminum plates automotive industry. results show that proposed projection has low error value able find minimal model.