Abstract:We develop a mathematical model for planning and scheduling staff and demand, considering a time window for on-time demand fulfillment, as well as individual staff characteristics, preferences, and availability. We also discuss a version where the staff schedule is fixed. The model can be applied in many service settings, such as warehouses, fulfillment centers, and back-office services. We develop a user-friendly decision-support tool that employs the model and the solution methodology, and we implement it in… Show more
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