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Robust assignment of customer orders with uncertain configurations in a production network for aircraft manufacturing

机译:在飞机制造的生产网络中以不确定的配置稳健地分配客户订单

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摘要

Production of multi-variant products in a network requires the assignment of customer orders to locations and periods. This is a highly complex planning task, as requirements of procurement, production, distribution, and sales have to be considered. Providing customers with the flexibility of configuring their ordered products after order assignment further increases the complexity of the planning task by taking uncertainty into account. Therefore, a robust optimisation model, using scenarios representing potential customer-specific order configurations, is introduced. By providing enough flexibility to handle maximum work overload caused by the potential order configurations at locations, a robust assignment of orders can be guaranteed in order to avoid undesirable situations causing delays and additional costs. Therefore, the mid-term adjustments of the flexibility limits are enabled by the changeability of workforce supply by making use of external workers. An industrial application of the model in manufacturing of the Airbus A320 Family of aircrafts is presented. The costs for offering configuration flexibility to customers are quantified by the expected value of perfect information. The explicit consideration of configuration uncertainty through the use of scenarios is discussed based on the value of the stochastic solution in comparison to the results attained by simplistically using the expected value.
机译:网络中多种产品的生产需要将客户订单分配到位置和期间。这是一项非常复杂的计划任务,因为必须考虑采购,生产,分配和销售的要求。通过分配不确定性,为客户提供了在分配订单后灵活配置其订购产品的灵活性,从而进一步增加了计划任务的复杂性。因此,引入了一种健壮的优化模型,该模型使用了表示潜在的特定于客户的订单配置的方案。通过提供足够的灵活性来处理由潜在的订单配置引起的最大工作过载,可以确保订单的稳健分配,以避免引起延误和额外成本的不良情况。因此,灵活性限制的中期调整是通过利用外部工人来改变劳动力供应来实现的。介绍了该模型在空客A320系列飞机制造中的工业应用。为客户提供配置灵活性的成本通过完美信息的期望值来量化。与随机使用期望值获得的结果相比,基于随机解决方案的值讨论了通过使用场景来明确考虑配置不确定性的问题。

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