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Dynamic price quotation in a responsive supply chain for one-of-a-kind production

机译:一种生产中响应式供应链中的动态价格报价

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This paper studies the setting in which a one-of-a-kind production (OKP) firm offers two types of orders (due-date guaranteed and due-date unguaranteed) at different prices to the sequentially arriving customers, who are also OKP production firms. The prices for two types of orders are quoted to each customer on its arrival. We study two problems in this setting. First, we model a dynamic pricing strategy (DPS) and compare our DPS with a constant pricing strategy (CPS). Through a numerical test, we show that both the firm and its customers are better off when our DPS is employed, so that the DPS improves overall performance of the supply chain. Through an industry case, a custom window production firm, we show how to apply the proposed DPS when products are complex. We also develop a method to adaptively estimate the firm's available capacity, the number of future arrivals and the distributions of the customers' willingness to pay and impatience factor. The simulation result shows that, when multiple distribution parameters are unknown, the proposed parameter estimating method results in estimates close to the true values.
机译:本文研究一种单一生产(OKP)公司向依次到达的客户提供不同价格的两种类型的订单(到期日期保证和到期日期未保证)的情况,这些客户也是OKP生产商公司。两种类型的订单价格在每个客户到达时被报价。在这种情况下,我们研究了两个问题。首先,我们对动态定价策略(DPS)进行建模,并将我们的DPS与固定定价策略(CPS)进行比较。通过数值测试,我们表明,使用DPS时,公司及其客户的情况都会更好,因此DPS可以改善供应链的整体绩效。通过一个行业案例,一家定制窗户生产公司,我们展示了当产品复杂时如何应用建议的DPS。我们还开发了一种方法来自适应地估计公司的可用能力,未来到达的数量以及客户的支付意愿和不耐烦因素的分布。仿真结果表明,当多个分布参数未知时,所提出的参数估计方法得到的估计值接近真实值。

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