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This paper is concerned with the problem of Just-In-Time (JIT) job scheduling in a dynamic environment under uncertainty to attain timely service. We provide an approach, based on robust scheduling concepts, to analytically evaluate the expected cost of earliness and tardiness for each job and also the project. In addition, we search for a schedule execution policy with the minimum robust cost such...
We study a special bidirectional flow shop problem with multi-machine capacity and sequencing constraints on critical operations. A formulation is proposed in continuous time domain and compared with a mixed integer programming (MIP) formulation in discrete time domain. Of particular interest to us is the formulation of the machine utilization function -both in continuous time and in discrete time...
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