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http://dx.doi.org/10.11627/jkise.2014.38.1.110

Long-Term Demand Forecasting Using Agent-Based Model : Application on Automotive Spare Parts  

Lee, Sangwook (Nuribom Co.)
Ha, Chunghun (School of Information and Computer Engineering, Hongik University)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.38, no.1, 2015 , pp. 110-117 More about this Journal
Abstract
Spare part management is very important to products that have large number of parts and long lifecycle such as automobile and aircraft. Supply chain must support immediate procurement for repair. However, it is not easy to handle spare parts efficiently due to huge stock keeping units. Qualified forecasting is the basis for the supply chain to achieve the goal. In this paper, we propose an agent based modeling approach that can deal with various factors simultaneously without mathematical modeling. Simulation results show that the proposed method is reasonable to describe demand generation process, and consequently, to forecast demand of spare parts in long-term perspective.
Keywords
Agent Based Modeling; Long-Term Forecasting; Spare Part Management; Failure Rate;
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