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E. Budak, Y. Altintas (1998)
Analytical Prediction of Chatter Stability in Milling—Part I: General FormulationJournal of Dynamic Systems Measurement and Control-transactions of The Asme, 120
E. Budak, Y. Altintas
Analytical prediction of chatter stability in milling – part I: general formulation; part II: application to common milling systems
Min-Yang Yang, Hee-bum Park (1991)
The prediction of cutting force in ball-end millingInternational Journal of Machine Tools & Manufacture, 31
(1994)
`̀ Analyzing machine efficiency’
Chon-Huat Goh, Y. Tung, C. Cheng (1996)
A revised weighted sum decision model for robot selectionComputers & Industrial Engineering, 30
(2000)
Manufacturing Automation
A. Atmani, R. Lashkari (1998)
A model of machine-tool selection and operation allocation in FMSInternational Journal of Production Research, 36
M. Tabucanon, D. Batanov, D. Verma (1994)
Decision support system for multicriteria machine selection for flexible manufacturing systemsComputers in Industry, 25
M.T. Tabucanon, D.N. Batanov, D.K. Verma
Intelligent decision support system (DSS) for the selection process of alternative machines for flexible manufacturing systems (FMS)
(1988)
`̀ A strategy for selecting and introducing new technology/machine tools’
Zone-Ching Lin, Chuang Yang (1996)
Evaluation of machine selection by the AHP methodJournal of Materials Processing Technology, 57
Tai-Yue Wang, Chia Shaw, Yue Chen (2000)
Machine selection in flexible manufacturing cell: A fuzzy multiple attribute decision-making approachInternational Journal of Production Research, 38
Y. Altintas, P. Lee (1998)
Mechanics and Dynamics of Ball End MillingJournal of Manufacturing Science and Engineering-transactions of The Asme, 120
E. Budak, Y. Altintas (1998)
Analytical Prediction of Chatter Stability in Milling—Part II: Application of the General Formulation to Common Milling SystemsJournal of Dynamic Systems Measurement and Control-transactions of The Asme, 120
E. Budak, Y. Altintas, E. Armarego (1996)
Prediction of Milling Force Coefficients From Orthogonal Cutting DataJournal of Manufacturing Science and Engineering-transactions of The Asme, 118
A. Atmani, R.S. Lashkari
A model of machine‐tool selection and operation allocation in flexible manufacturing system
(1988)
`̀ Selection procedures adopted by industry for introducing new machine tools’
Globalization of business, the worldwide competitive economy and the decrease in product life force companies to use new equipments that are continuously introduced to the market with the advances in technology. An improper selection can negatively affect productivity, precision, flexibility and company's responsive manufacturing capabilities. Thus, selecting the most suitable machine from the increasing number of available machines can be highly demanding. A decision support system is developed for the selection of machine tools. It will guide the selection process and help a decision maker solve the selection problem. Multi-criteria weighted average is used in decision-making process to rank the machines evaluated with respect to several criteria. The method is demonstrated with an example.
Journal of Manufacturing Technology Management – Emerald Publishing
Published: Jan 1, 2004
Keywords: Decision support systems; Machine tools; Manufacturing systems
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