This paper presents a case study of a dynamic approach to scheduling activities in a supply chain. The case study deals with a motorcycle assembly facility located in Manaus, Brazil. It is the third largest motorcycle assembly facility in the world. The supply chain operations were formulated as a network of 55 activities competing for 66 resources. The method was able to provide a set of feasible solutions in under 2 seconds of computing time. The proposed approach can be implemented on desk top, web, or mobile platforms.
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