Exploiting Embedded Intelligence in Manufacturing Decision Support

P. Goodall, Heinz Lugo, R. Sharpe, Katherine van Lopik, Sarogini Grace Pease, A. West, R. Young
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引用次数: 1

Abstract

There have been many advances in the ability to embed intelligence into products and manufacturing equipment in order to collect important data using wireless, intelligent systems of Radio Frequency Identification (RFID) tags and networked sensors [[Xu 14]]. Similarly the ICT industries that support manufacturing businesses continues to expand and develop their range of decision support software across the full range of business requirements from shop floor systems, manufacturing execution systems, enterprise resource planning, product lifecycle management and supply chain management, etc. However, while each of these systems provides important capabilities, the ability to effectively interconnect them in a meaningful trans-disciplinary way is limited [HUB 14] and must be overcome if the visions of Industrie 4.0, 4IR and Smart Manufacturing are to be met.
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嵌入式智能在制造业决策支持中的应用
为了使用无线、智能的射频识别(RFID)标签系统和网络传感器收集重要数据,将智能嵌入产品和制造设备的能力已经取得了许多进步[[Xu 14]]。同样,支持制造业的ICT行业也在不断扩展和开发决策支持软件,以满足车间系统、制造执行系统、企业资源规划、产品生命周期管理和供应链管理等全方位的业务需求。然而,虽然这些系统中的每一个都提供了重要的功能,但以有意义的跨学科方式有效互联它们的能力是有限的[HUB 14],如果要满足工业4.0、第四次工业革命和智能制造的愿景,就必须克服这些问题。
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