Employing an Imperialist Competitive Algorithm to Minimize the Bullwhip Effect in a Supply Chain
نویسنده
چکیده
This paper presents a computational intelligence approach for coping with bullwhip effect in supply chains (SCs). An imperialist competitive algorithm (ICA) is employed to decrease the bullwhip effect and cost (inventory, ordering and production) in the MIT beer distribution game. The ICA is used to determine the optimal ordering policy for members of the SC. The results shows the ability of the proposed ICA for decreasing the bullwhip effect under deterministic and random customer demand, deterministic and random lead times.
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