DocumentCode
2573311
Title
Common capacity modelling for multi-site planning: case studies
Author
Wang, F.Y. ; Chua, T.J. ; Cai, T.X. ; Chai, L.S.
Author_Institution
Singapore Inst. of Manuf. Technol., Singapore
fYear
2007
fDate
25-28 Sept. 2007
Firstpage
336
Lastpage
343
Abstract
Capacity planning is a pivotal activity that is in compliance with company´s long-term business goals, meanwhile also guides the short-term production scheduling, material and resource preparation, in-bound and out-bound logistics. Because of current strong globalization trend, manufacturers are more willing to go to regional or globalism by setting-up plants closer to customers in order to reduce operation costs. Accordingly, mid-term capacity planning paradigm has shifted from algorithm-based solutions for single production site to collaboration-oriented planning in multiple manufacturing plants. By studying the planning processes under multi-site circumstance, this paper proposes a common capacity model, which can play as a mediator to facilitate the dissemination of capacity related information and event, and benchmarking among plants. Ontology based solution is the key for the creation of the common capacity model. Two types of ontology - object ontology and behaviour ontology - will be discussed in this paper for multi-site capacity planning. The paper will also introduce two case studies to highlight the need for multi-site capacity planning from industry.
Keywords
capacity planning (manufacturing); ontologies (artificial intelligence); scheduling; behaviour ontology; collaboration-oriented planning; common capacity modelling; globalization trend; in-bound logistics; long-term business goals; multi-site capacity planning; object ontology; out-bound logistics; short-term production scheduling; Capacity planning; Collaboration; Costs; Globalization; Job shop scheduling; Logistics; Manufacturing; Ontologies; Process planning; Production planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies and Factory Automation, 2007. ETFA. IEEE Conference on
Conference_Location
Patras
Print_ISBN
978-1-4244-0825-2
Electronic_ISBN
978-1-4244-0826-9
Type
conf
DOI
10.1109/EFTA.2007.4416787
Filename
4416787
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