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System dynamics as a decision support system for machine tool selection
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.ORCID iD: 0000-0002-8597-2604
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.
2016 (English)In: Journal of Machine Engineering, ISSN 1895-7595, Vol. 16, no 3, 102-125 p.Article in journal (Refereed) Published
Abstract [en]

The worldwide competitive economy, the increase in sustainable issue and investment of new production line is demanding companies to choose the right machine from the available ones. An improper selection can negatively affect the overall performance of the manufacturing system like productivity, quality, cost and company’s responsive manufacturing capabilities. Thus, selecting the right machine is desirable and substantial for the company to sustain competitive in the market. The ultimate objective of this paper is to formulate a framework for machining strategy and also provide methodology for selecting machine tool from two special purpose machine tools in consideration of interaction of attributes. A decision support system for the selection of machine tool is developed. It evaluates the performance of the machining process and enhances the manufacturer (decision maker) to select the machine with respect to the performance and the pre-chosen criteria. Case study was conducted in a manufacturing company. A system dynamics modelling and simulation techniques is demonstrated towards efficient selection of machine tool that satisfy the future requirement of engine-block production.

Place, publisher, year, edition, pages
Editorial Institution of Wrocaw Board of Scientific , 2016. Vol. 16, no 3, 102-125 p.
Keyword [en]
Decision making, Machine selection, Performance analysis, System dynamics modelling
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-195549ScopusID: 2-s2.0-84990997629OAI: oai:DiVA.org:kth-195549DiVA: diva2:1045372
Note

QC 20161109

Available from: 2016-11-09 Created: 2016-11-03 Last updated: 2016-11-09Bibliographically approved

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