Management Science
Customer-order information, leadtimes, and inventories
Management Science
Due date setting with supply constraints in systems using MRP
Computers and Industrial Engineering
Airline Yield Management with Overbooking, Cancellations, and No-Shows
Transportation Science
Manufacturing & Service Operations Management
Designing And Managing The Supply Chain
Designing And Managing The Supply Chain
Material compatibility constraints for make-to-order production planning
Operations Research Letters
A resource-constrained profit-based dynamic order management model
International Journal of Computer Applications in Technology
Solving a sealed-bid reverse auction problem by multiple-criterion decision-making methods
Computers & Mathematics with Applications
A model for batch available-to-promise in order fulfillment processes for TFT-LCD production chains
Computers and Industrial Engineering
Available-to-promise based bidding decision by fuzzy mathematical programming and genetic algorithm
Computers and Industrial Engineering
Computers and Industrial Engineering
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The available to promise (ATP) function has increasingly attracted the attention of the supply chain management research community as a tool for enhancing the responsiveness of order promising and the reliability of order fulfillment. It directly links available resources, including both material and capacity, with customer orders and, thus, affects the overall performance of a supply chain. In this paper, a mixed integer programming (MIP) model for a quantity and due date quoting ATP mechanism is presented. This model can provide individual order delivery dates for a batch of customer orders that arrive within a predefined batching interval. In addition, the model allows customized configurations and takes into account a variety of realistic supply chain constraints, such as material compatibility, substitution preferences, capacity utilization, and material reserve. We conclude this paper with sensitivity analysis of performance impacts with respect to batching interval size and material reserve policy.