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This paper considers a customer order scheduling problem with product type splitting property in the unrelated parallel machine environment. Product type splitting property refers to the case where each customer order consists of several product types and the workload of all associated product types can be arbitrarily split among machines. The objective is(More)
This study considers a dynamic customer order scheduling problem in a stochastic setting. Customer orders arrive at the service station dynamically and each consists of multiple product types with random workloads. Each order will be processed by a set of non-identical parallel servers. The objective is to determine the optimal workload assignment policy(More)
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