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Order quantities for style goods with two order opportunities and Bayesian updating of demand. Part II: capacity constraints

机译:具有两个订单机会和贝叶斯需求更新的样式商品的订单数量。第二部分:能力限制

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This paper is the second of two papers that study the problem of ordering a family of style-goods products where demand is uncertain and there are two order opportunities. The first opportunity has a long lead time and low unit cost. The second opportunity has a short lead time and high unit cost. During the time between the two order opportunities new information on demand becomes available. The information is used in a Bayesian estimation process to revise demand forecasts. There are capacity constraints at both order opportunities. The first paper (Miltenburg, J. and Pong, H.C., Order quantities for style goods with two order opportunities and Bayesian updating of demand. Part I: No capacity constraints. Int. J. Prod. Res., 2007, 7, 1643-1663) studied the problem without capacity constraints. The problem examined in this paper is based on problems at a real company. Several inventory models having different information and computation requirements are developed to determine good order quantities. The models are organized into a framework that real companies can use to select the best problem statement and solution procedure for their particular situation.
机译:本白皮书是研究需求不确定且有两个订单机会的样式商品系列产品订购问题的两篇论文中的第二篇。第一个机会的交货时间长且单位成本低。第二次机会的交货时间短且单位成本高。在两次订购机会之间的时间内,可以根据需要获得新的信息。该信息用于贝叶斯估计过程中以修改需求预测。两个订单机会都存在容量限制。第一篇论文(Miltenburg,J.和Pong,HC,具有两个订单机会的样式商品的订单数量和需求的贝叶斯更新。第一部分:无容量限制。Int。J. Prod。Res。,2007,7,1643- 1663年)研究了无容量限制的问题。本文研究的问题是基于实际公司中的问题。开发了具有不同信息和计算要求的几种库存模型,以确定好的订单数量。这些模型被组织到一个框架中,实际公司可以使用这些框架为特定情况选择最佳问题陈述和解决方案。

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