Methodical decision support for mid-term order planning in global production networks for multi-variant series production under uncertainty of customer order configurations

在客户订单配置不确定的情况下，为多品种系列生产的全球生产网络中的中期订单计划提供有条理的决策支持

• 批准号: 393876418
• 负责人: Professorin Dr.-Ing. Gisela Lanza
• 金额: --
• 依托单位: Institut für Produktionstechnik (WBK)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/393876418?language=en
• 关键词: Methodical; decision; support; mid; term

The utilization of production capacities in multi-variant series production in global production networks is a challenge, but is a prerequisite for the competitive production and cost-efficient supply of customized products. Additionally, customers requiring short delivery times cause uncertainties prior to the receipt of orders regarding the balancing of customer demand with capacities of final assembly and capacities of suppliers. Thus, the uncertainty of order configurations has to be explicitly considered for robust planning in the mid-term horizon. Current planning approaches neglect either mid-term order planning at all or the consideration of uncertainties of order configurations.In order to address these shortcomings, the research proposal at hand aims at the development of a methodology to support decisions regarding mid-term order planning in global production networks for multi-variant series production under uncertainty of customer order configurations. Therefore, the type of uncertainty has to be differentiated for several industries depending on the mid-term availability of customer orders - either they are available, but their configurations are uncertain, or they are unavailable.In the case customer orders are available without certain order configurations, this uncertainty has to be considered when assigning orders in the production network. Possible configurations of customer orders have to anticipated and represented by scenarios. Thus, the customer orders can be assigned to production facilities and periods based on the results of a scenario-based optimization model.In the case of customer orders being unavailable in the mid-term horizon, uncertainty can be controlled by generating planned orders and assigning them in the production network by applying a deterministic optimization model. Later on, incoming customer orders can be assigned to the planned orders already assigned in the production network. Therefore, an optimization model can support the selection of the optimal planned order regarding configuration and delivery time. In order to enable an assignment, the selected order is to be adapted to the customer order.All in all, mid-term order planning allows for consistency between mid-term and short-term planning horizons. This cannot be guaranteed if only short-term planning is order-based. Moreover, a consistent basis of information enables integrated planning of functional units of a company such as sales, production and procurement considering their respective requirements.

在全球生产网络中利用多变量系列生产的生产能力是一项挑战，但这是有竞争力的生产和以成本效益高的方式供应定制产品的先决条件。此外，要求短交货时间的客户在收到订单之前，在客户需求与最终组装能力和供应商能力之间的平衡方面造成不确定性。因此，订单配置的不确定性必须明确考虑稳健规划的中期地平线。目前的计划方法忽略了中期订单计划或考虑订单配置的不确定性，为了解决这些缺点，手头的研究建议旨在开发一种方法来支持决策的中期订单计划在全球生产网络的多变量系列生产下的客户订单配置的不确定性。因此，必须根据客户订单的中期可用性来区分不同行业的不确定性类型--要么是可用，但其配置不确定，要么是不可用。如果客户订单可用，但没有特定的订单配置，则在生产网络中分配订单时必须考虑这种不确定性。客户订单的可能配置必须通过场景来预测和表示。因此，客户订单可以根据基于Oracle的优化模型的结果分配给生产设施和期间。如果客户订单在中期展望期内不可用，则可以通过生成计划订单并应用确定性优化模型在生产网络中分配这些订单来控制不确定性。随后，可以将传入的客户订单分配给生产网络中已分配的计划订单。因此，一个优化模型可以支持关于配置和交货时间的最优计划订单的选择。为了启用分配，选定的订单将适应客户订单。总之，中期订单计划允许中期和短期计划展望期之间的一致性。如果只是以订单为基础进行短期规划，就无法保证这一点。此外，一致的信息基础使公司的职能部门（如销售、生产和采购）能够根据各自的要求进行综合规划。