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Link to original content: https://api.crossref.org/works/10.1287/INTE.2020.1029
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The planning task of capacity scheduling contributes to this objective by deciding on resource allocation and the selection and scheduling of orders. We were asked to evaluate possible operations research\/management science (OR\/MS) solutions for their capacity scheduling problem. To this end, we developed a prototype for capacity scheduling based on binary integer programming. After the prototype had revealed high improvement potential, we developed a spreadsheet-based decision support system (DSS) for daily capacity scheduling. The schedules generated by the DSS were substantially better than the solutions generated by the current manual procedure, in terms of both accomplished manufacturing volume and planning effort. After successful test implementation and rollout, the VPC estimated the annual cost savings to lie in the six-digit Euro range. 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