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首页> 外文期刊>International Journal of Production Research >CONWIP implementation in a system with cross-trained teams
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CONWIP implementation in a system with cross-trained teams

机译：Conwip在具有交叉训练团队的系统中实现

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摘要

Although a significant amount of research exists on the implementation of the CONstant Work In Process (CONWIP) production control strategy in different types of manufacturing environments, the challenge posed by the complex flow of multiple products through the case manufacturing system of this work necessitates defining a unique type of item release rule to operate with the CONWIP control. The case system is a chair cover production line, which has sets of cross-trained teams that can process its different product models with different levels of efficiency. This work focusses on the CONWIP control strategy, but with the introduction of a new item release rule for prioritising items for release into the system. Results from simulation experiments show that operating CONWIP with an item release rule that is synchronised with the work rate of each of the system's cross-trained teams improves its performance. In comparison with a First in First out (FIFO) rule, this item release rule shortens the system throughput time. It also increases the chances of items being processed by the team most suitable for them, thereby minimising the quality and efficiency issues that might occur in systems that consist of teams with varying levels of proficiency for processing the different product models. Irrespective of the item release rule that is applied, CONWIP achieves a better distribution of workload amongst the teams than a Push control achieves.
机译：尽管在不同类型的制造环境中实施过程（Conwip）生产控制策略的恒定工作的实施中存在大量的研究，但通过本工作的案例制造系统，多种产品的复杂流程所构成的挑战需要定义一个唯一类型的项目释放规则与Conwip控件一起运行。案例系统是椅子盖生产线，具有一套交叉训练的团队，可以使用不同的效率水平处理其不同的产品模型。这项工作侧重于Conwip控制策略，但是通过引入新的项目释放规则，以便将项目释放到系统中的优先级。仿真实验的结果表明，使用与每个系统的交叉训练团队的每个系统的工作率同步的项目释放规则的操作综合规则提高了其性能。与第一个出局（FIFO）规则相比，此项目发布规则缩短了系统吞吐量时间。它还增加了最适合于它们的团队处理的项目的机会，从而最大限度地减少了由具有不同熟练程度水平的组成的系统中可能发生的质量和效率问题。无论应用的项目释放规则如何，Conwip都可以在团队中获得更好的工作量分布，而不是推动控制达到。

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