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Design of smart connected manufacturing resources to enable changeability, reconfigurability and total-cost-of-ownership models in the factory-of-the-future

机译:设计智能互联制造资源,以在未来的工厂中实现可变性,可重新配置性和总拥有成本模型

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摘要

The fourth industrial revolution requires higher capabilities of changeability and reconfigurability (C-R) of the future factories (FoF), as well as a higher focus on business models that are based on total-cost-of-ownership (TCO) paradigm. Up to date, there are little scientific contributions to deploy C-R into TCO models, as well as to systematic plan and design manufacturing resources such as to facilitate FoF ecosystem. In order to address this issue, this paper introduces research results that show how to deploy C-R, connectivity, smartness and TCO requirements into the technical solutions of manufacturing resources of FoF. Contributions emerging from this research include an index to measure C-R capability of manufacturing resources, a model to assess economic feasibility of a FoF over its lifecycle, as well as a methodology and related tools to design smart connected manufacturing resources with embedded features to facilitate changeability and reconfigurability in a FoF. Theoretical contributions are explained through a case study of a fast reconfigurable robotic manufacturing cell. Preliminary results demonstrate that it is possible to rapid design smart connected manufacturing resources and integrate them into FoF architectures that support convertibility, integrability, modifiability, adaptability, serviceability, scalability, integration of resources from various producers, service clustering and cloud-based services.
机译:第四次工业革命要求未来工厂(FoF)具有更高的可更改性和可重新配置性(C-R),并且需要更加关注基于总拥有成本(TCO)范式的业务模型。迄今为止,将C-R部署到TCO模型中以及系统规划和设计制造资源(如促进FoF生态系统)的科学贡献很少。为了解决这个问题,本文介绍了一些研究结果,这些结果表明如何将C-R,连接性,智能性和TCO要求部署到FoF制造资源的技术解决方案中。这项研究的成果包括:衡量制造资源的CR能力的指数,评估FoF在其生命周期内经济可行性的模型,以及用于设计具有嵌入式功能的智能互联制造资源的方法和相关工具,以促进可变性和FoF中的可重新配置性。通过对快速可重构机器人制造单元的案例研究来解释理论贡献。初步结果表明,可以快速设计智能连接的制造资源并将其集成到FoF架构中,以支持可转换性,可集成性,可修改性,适应性,可维护性,可扩展性,各种生产者的资源集成,服务集群和基于云的服务。

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