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Towards a wisdom manufacturing vision

机译：迈向智慧制造愿景

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Manufacturing enterprises are socio-technical systems, which necessitate overall integration of not only the technical aspects from devices in shop-floor to enterprise resources planning vertically and from product order to shipment horizontally, but also the social aspects such as human interactions and consumers' intentions. Moreover, there is a growing need in the use of knowledge in enterprise contexts. To meet such needs, wisdom manufacturing (WM) is emerging with advances in the Internet and manufacturing as well as intelligence. In this paper, the most recently developed manufacturing models such as smart manufacturing (SM)/smart factory (SF), cloud manufacturing (CM) and socialised enterprise (SE)/Enterprise 2.0 are analysed, and a WM vision is presented to aggregate SM, CM, SE and existing intelligent manufacturing (IM) that are complementary to each other. Then pathways towards the WM vision are addressed in relationship to knowledge, intelligence, creativity/innovation, learning and wisdom, especially from DIKW (data-information-knowledge-wisdom) and semiotic perspectives as well as from the web evolution. And wisdom and realisation towards the WM vision are investigated. Finally, a case study is used to illustrate the WM vision landscape followed by a conclusion. As a consequence, things, computers and humans, ubiquitous, artificial and collective intelligence, as well as explicit and tacit knowledge, are integrated as a whole in the WM.
机译：制造企业是一种社会技术系统，不仅需要全面集成从车间设备到纵向垂直规划企业资源，从产品订购到水平装运的技术方面，而且还必须将诸如人际互动和消费者意图等社会方面进行全面集成。 。此外，在企业环境中使用知识的需求不断增长。为了满足这些需求，智慧制造（WM）随着Internet，制造业以及智能技术的发展而兴起。在本文中，分析了最新开发的制造模型，例如智能制造（SM）/智能工厂（SF），云制造（CM）和社会化企业（SE）/ Enterprise 2.0，并提出了WM愿景以汇总SM ，CM，SE和现有的智能制造（IM）相互补充。然后从知识，智力，创造力/创新，学习和智慧的关系着手解决WM愿景的途径，特别是从DIKW（数据信息-知识-智慧）和符号学观点以及网络发展的角度。并对实现WM愿景的智慧和实现进行了调查。最后，通过案例研究来说明WM愿景前景，然后得出结论。结果，事物，计算机和人类，无处不在的，人工的和集体的智慧，以及显性和隐性知识，被整体地整合到了WM中。

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