An Internet of Things based framework to enhance just-in-time manufacturing

被引:22
|
作者
Xu, Yuchun [1 ]
Chen, Mu [2 ]
机构
[1] Aston Univ, Sch Engn & Appl Sci, Birmingham B4 7ET, W Midlands, England
[2] Cranfield Univ, Sch Aerosp Transport & Mfg, Cranfield, Beds, England
关键词
Cloud manufacturing; production scheduling; dynamic scheduling; real-time resource status monitoring; just-in-time manufacturing; Internet of Things; radio-frequency identification; Industry; 4.0; MODELING APPROACH; SYSTEM; ENVIRONMENT; IMPLEMENTATION; INSPECTION; DESIGN;
D O I
10.1177/0954405417731467
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Just-in-time manufacturing is a main manufacturing strategy used to enhance manufacturers' competitiveness through inventory and lead time reduction. Implementing just-in-time manufacturing has a number of challenges, for example, effective, frequent and real-time information sharing and communication between different functional departments, responsive action for adjusting the production plan against the continually changing manufacturing situation. Internet of Things technology has the potential to be used for capturing desired data and information from production environment in real time, and the collected data and information can be used for adjusting production schedules corresponding to the changing production environment. This article presents an Internet of Things based framework to support responsive production planning and scheduling in just-in-time manufacturing. The challenges of implementing just-in-time manufacturing are identified first and then an Internet of Things based solution is proposed to address these challenges. A framework to realise the proposed Internet of Things solution is developed and its implementation plan is suggested based on a case study on automotive harness parts manufacturing. This research contributes knowledge to the field of just-in-time manufacturing by incorporating the Internet-of-Things technology to improve the connectivity of production chains and responsive production scheduling capability.
引用
收藏
页码:2353 / 2363
页数:11
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