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Developing a two stage stochastic programming model of the price and lead-time decision problem in the multi-class make-to-order firm

机译:在多类按订单生产企业中开发价格和提前期决策问题的两阶段随机规划模型

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摘要

Pricing coordination and due-date management are managerial challenges in today's competitive marketplace. Segmenting orders into classes and allocating resources based on their sensitivity to time and price can increase a firm's profit and its capacity utilization. In addition, other parameters such as production policy, inventory holding and delivery system should be considered in pricing and due-date decisions. In this paper, we consider the role of flexibility in price, lead-time and delivery in the make-to-order environment, where limited production capacity under a stochastic demand function is allowed. We develop a two-stage stochastic programming model to determine the price, lead-time and production amount jointly in each period. The difficulty of continuous distributions is avoided by using a scenario-based approach for stochastic demand. Through numerical analyses, we indicate the benefits of flexibility in delivery, price and lead-time in various environments.
机译:在当今竞争激烈的市场中,价格协调和到期日管理是管理方面的挑战。根据订单对时间和价格的敏感性,将订单分为几类并分配资源可以提高公司的利润和产能利用率。此外,在定价和到期日决策中应考虑其他参数,例如生产策略,库存持有和交付系统。在本文中,我们考虑了在按订单生产的环境中价格,交货时间和交货灵活性的作用,在这种情况下,随机需求函数允许有限的生产能力。我们开发了一个两阶段的随机规划模型,以确定每个时期的价格,交货时间和生产量。通过使用基于方案的随机需求方法,可以避免连续分配的困难。通过数值分析,我们指出了在各种环境中灵活交付,价格和交货时间的好处。

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