4.7 Article

Event-driven multi-agent ubiquitous manufacturing execution platform for shop floor work-in-progress management

期刊

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 51, 期 4, 页码 1168-1185

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2012.693644

关键词

RFID; event processing; manufacturing execution system (MES); WIP management; multi-agent; case study

资金

  1. Guangdong Department of Science and Technology [2010B050100023, 2010B050400005]
  2. Industry-University-Research Cooperation Key Project of Ministry of Education of Guangdong [20100901, 2011B090400409]
  3. HKSAR RGC GRF
  4. HKU Research Committee
  5. National Science Foundation of China [51105081]
  6. Guangzhou Science and Technology Planning Project [2011J2200017]

向作者/读者索取更多资源

It has been reported that radio frequency identification (RFID) technology is applied to manufacturing shop floors for capturing and collecting real-time field data. Real-time information visibility and traceability allows decision makers to make better-informed shop floor decisions. It has been a great challenge to process a huge amount of RFID data into useful information for managerial uses. This paper presents an event-driven shop floor work-in-progress (WIP) management platform for creating a ubiquitous manufacturing (UM) environment. The platform aims to monitor and control dynamic production and material handling through RFID-enabled traceability and visibility of shop floor manufacturing processes. The platform provides facilities to process shop floor real-time RFID events and to aggregate actionable and meaningful operational information to support decision-making activities. An information processing mechanism based on a critical event model is proposed to organise real-time field data in various abstract levels for enterprise decisions. A case study at an air conditioner manufacturing company is used to demonstrate how the proposed platform can benefit its shop floor WIP management by showing how production and logistic operators and their supervisors accomplish their tasks.

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