首页> 外文会议>2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce >Coordinating order decisions for assemble-to-order enterprise with uncertainty in purchase lead time and demand order
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Coordinating order decisions for assemble-to-order enterprise with uncertainty in purchase lead time and demand order

机译:不确定采购提前期和需求订单的按订单组装企业的订单决策

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Quick response for customer order with low cost is the key competitive factor for the contract manufacturer who assembles the customized capital device. We consider a problem for the contract manufacturer who receives forecast information from his customer before achieving the firm order. The firm order may be cancelled with some probability. The components have high probability of depreciation, they are all purchased for the current order. And the purchase lead times of the components are stochastic. The contract manufacturer must determine when to place the order for components. We present the total expected cost minimization model, including the components procurement costs, the holding cost, the tardiness penalty cost and the order cancellation cost. We establish structural properties of the optimal policy and prove that in some particular situation there is no need to purchase components before the order is confirmed. Numerical analysis illustrates how the model parameters affect the purchase lead times, the probability of delivery-on-time and total expected cost.
机译:低成本,对客户订单的快速响应是组装定制资本设备的合同制造商的主要竞争因素。对于合同制造商来说,我们认为这是一个问题,在获得确定的订单之前,该合同制造商从其客户那里收到了预测信息。确定的订单可能会被取消。组件折旧的可能性很高,它们都是按当前订单购买的。而且组件的采购提前期是随机的。合同制造商必须确定何时下订单订购组件。我们提出了总预期成本最小化模型,包括组件采购成本,持有成本,拖延罚款成本和订单取消成本。我们建立了最优政策的结构属性,并证明在某些特定情况下,在确认订单之前无需购买组件。数值分析说明了模型参数如何影响采购提前期,准时交货的可能性和总预期成本。

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