Dynamic slotting helps planners to maintain profitability by limiting of the set of time slots offered to individual customers. Customer choice means that tailoring offers to customers to entice them to select less popular time slots can create a more even distribution of deliveries. Dynamic slotting decisions depend on the current request, the already accepted orders, and orders still expected to arrive in the remainder of the order horizon. They entail solving three connected subproblems: Determining the feasibility of delivering the current requested order per time slot, determining the opportunity cost of promising the delivery and thereby potentially limiting the resources for accepting future expected orders, and determining the optimal assortment of offered time slots to maximize revenue given stochastic customer choice.
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