Planning Support for the Design of Quality Control Strategies in Global Production Networks

Planning Support for the Design of Quality Control Strategies in Global Production Networks
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全球生产网络质量控制策略设计的规划支持

DOI:
10.1016/j.procir.2015.12.015
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发表时间:
2015
期刊:
Procedia CIRP
影响因子:
--
通讯作者:
--
中科院分区:
--
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--
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日益增长的全球化迫使制造公司在全球网络中组织其生产,其中包括公司内部站点以及外部合作伙伴和供应商的位置。该网络中的每个站点都根据特定的位置因素,即员工的资格水平或可用的工艺技术,以及每个站点定义的专业化,即关于服务市场,最终产品或实现的过程,分配战略角色。该角色定义了至少考虑成本、质量和时间维度的单个目标系统。每个站点根据目标系统自主行动。由于以最小的累积质量成本和交货时间确保最终产品的要求质量对公司的成功至关重要,因此生产网络的质量控制策略必须根据各个站点的目标系统进行设计。本文描述了一种方法,该方法使全球运营的公司能够有效地计划他们在各自生产网络中的质量控制措施,并考虑到特定的站点角色。在第一步中,提出了一种基于价值流的方法,该方法可视化了生产过程链中的质量特征以及相关的质量检查,并确定了跨地点质量控制策略的潜力。第二步,采用仿真方法,考虑动态影响因素和单个目标系统,评估不同质量措施的效果,从而确定生产网络的最优质量控制策略。
The increasing globalization forces manufacturing companies to organize their production in global networks, which include company internal sites as well as locations of external partners and suppliers. Each site in this network has an assigned strategic role according to the specific location factors, i.e. qualification level of employees or available process technology, and the defined specialization of each site, i.e. regarding served market, final product or realized processes. This role defines an individual target system that considers at least the dimensions cost, quality and time. Each site acts autonomously according to the target system. Since it is crucial for the success of the company to ensure the demanded quality of the final product with minimal cumulated quality costs and lead times, the quality control strategy for the production network has to be designed according to the target systems of the individual sites. The presented article describes an approach, which enables globally operating companies to efficiently plan their efforts for their quality control measures in their respective production network taking the specific site roles into account. In a first step, a value-stream-based methodology is presented, which visualizes quality characteristics as well as related quality inspections in the production process chain and which identifies potentials in the quality control strategy across locations. In a second step a simulation approach is used to evaluate the effects of different quality measures considering dynamic influencing factors and individual target systems, so that the optimal quality control strategy for the production network can be identified.
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