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Web-DPP: An Adaptive Approach to Planning and Monitoring of Job-Shop Machining Operations
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. Högskolan i Skövde, Institutionen för teknik och samhälle, Högskolan i Skövde, Forskningscentrum för Virtuella system.
2011 (English)In: Proceedings of the 7th CIRP International Conference on Digital Enterprise Technology, 2011, p. 411-420Conference paper, Published paper (Refereed)
Abstract [en]

Utilising the existing IT infrastructure, the objective of this research is to develop an integrated Web-based distributed process planning system (Web-DPP) for job-shop machining operations and their runtime execution monitoring. Our approach tries to engage a dispersed working group in a collaborative environment, allowing the team members to share real-time information through the Web-DPP. This paper analyses the challenges, and presents both the system design specification and the latest development of the Web-DPP system. Particularly, it proposes a two-tier architecture for effective decision making and introduces a set of event-driven function blocks for bridging the gap between high-level planning and low-level execution functions. By connecting to a Wise-ShopFloor framework, it enables real-time execution monitoring during the machining operations, locally or remotely. The closed-loop information flow makes adaptive planning possible.

Place, publisher, year, edition, pages
2011. p. 411-420
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-205811OAI: oai:DiVA.org:kth-205811DiVA, id: diva2:1090404
Conference
CIRP International Conference on Digital Enterprise Technology,Tuesday, 27 September, 2011
Note

QC 20170522

Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2017-05-22Bibliographically approved

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