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Designing production planning and control in smart manufacturing
Computers in Industry ( IF 10.0 ) Pub Date : 2024-05-08 , DOI: 10.1016/j.compind.2024.104104
Arno Kasper , Martin Land , Will Bertrand , Jacob Wijngaard

To make manufacturing technology productive, manufacturers rely on a production planning and control (PPC) framework that plans ahead and monitors ongoing transformation processes. The design of an appropriate framework has far-reaching implications for the manufacturing organization as a whole. Yet, to date, there has been no unified guidance on key PPC design issues. This is strongly needed, as it has been argued that novel information processing technologies – as part of Industry 4.0 – result in PPC frameworks with decentral structures. This conflicts with traditional works arguing for hierarchical or central structures. Therefore, we review the PPC design literature to create a comprehensive overview and summarize design proposals. Based on our review, we come to the intermediate conclusion that PPC frameworks continue to have a hierarchical structure, although decision-making is shifted more to decentral levels compared to traditional hierarchies. Our analysis suggests that the effect of a decentralization shift has potentially strong and poorly understood implications, both from a decision-making and organizational perspective.

中文翻译:


智能制造中的生产计划与控制设计



为了提高制造技术的生产力,制造商依靠生产计划和控制 (PPC) 框架来提前计划并监控正在进行的转型过程。适当框架的设计对整个制造组织具有深远的影响。然而,迄今为止,对于关键的 PPC 设计问题还没有统一的指导。这是非常必要的,因为有人认为,作为工业 4.0 一部分的新型信息处理技术会产生具有分散结构的 PPC 框架。这与主张等级或中央结构的传统作品相冲突。因此,我们回顾了 PPC 设计文献,以创建全面的概述并总结设计方案。根据我们的审查,我们得出的中间结论是,PPC 框架仍然具有层次结构,尽管与传统层次结构相比,决策更多地转移到分散的级别。我们的分析表明,无论是从决策还是组织的角度来看,权力下放转变的影响都具有潜在的强烈且鲜为人知的影响。
更新日期:2024-05-08
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