SELECTION OF MACHINE TOOL SYSTEM USING INTELLIGENT MULTI – ATTRIBUTE DECISION MAKING METHODS
Keywords:
Intelligent Analytical Hierarchy Process – IAHP, Machine Tool Selection, ELECTRE – IIIAbstract
The selection of appropriate machines and equipments is one of the most critical decisions in the design and development of a successful manufacturing environment. Considering the detailed specifications related to the functional requirements, productivity, quality, flexibility, cost, etc., and the number of available alternative machine tools in the market, the selection procedure can be quite complicated and time consuming. In the present work an intelligent approach is introduces for the machine tool selection. A new approach is developed for Analytical Hierarchy process – AHP, which guides decision maker in calculating the relative importance of various criteria. In this way the AHP is better termed as an Intelligent AHP (IAHP). There are four main criteria such as productivity, flexibility, safety & environment and adaptability. Some important sub-criteria are used for the selection are machine power, spindle speed, tool magazine capacity, etc. to evaluate the machine tool system. The ranking is done using Elimination and Choice Expressing the Reality – ELECTRE method.
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References
Emrah C, Catay B and Erhan B (2006), “Development of a Machine Tool Selection System Using AHP”, International Journal of Advanced Manufacturing Technology, Vol. 35(3-4), 363-376.
Lin Z C and Yang C B (1994), “Evaluation of Machine Selection by the AHP Method”, Journal of Material Processing and Technology, Vol. 57(3-4), 253-258.
Tabucanon M T, Batanov D N and Verma D K (1994), “Intelligent Decision Support System (DSS) for the Selection Process of Alternative Machines for Flexible Manufacturing Systems (FMS)”, Computer in Industry, Vol. 25, 131–143.
Oeltjenbruns H, Kolarik W J and Schnadt-Kirschner R (1995), “Strategic Planning in Manufacturing Systems—AHP Application to an Equipment Replacement Decision”, International Journal of Production Economy, Vol. 38, 189–197.
Yurdakul M (2004), “AHP as a Strategic Decision-Making Tool to Justify Machine Tool Selection”, Journal of Material Processing Technology, Vol. 146(3), 365–376.
Cheng E, Li H and Ho D (2002), “Analytic Hierarchy Process (AHP)”, Measurement of Business Excellence, Vol. 6, 33–38.
Wang T Y, Shaw C F and Chen Y L (2000), “Machine Selection in Flexible Manufacturing Cell: A Fuzzy Multiple Attribute Decision Making Approach”, International Journal of Production Research, Vol. 38(9), 2079–2097.
Moon C, Lee M, Seo Y and Lee Y H (2002), “Integrated Machine Tool Selection and Operation Sequencing with Capacity and Precedence Constraints using Genetic Algorithm”, Computers & Industrial Engineering, Vol. 43(3), 605–621.
Arslan M C, Çatay B and Budak E (2004), “A Decision Support System for Machine Tool Selection”, Journal of Manufacturing Technology Management, Vol. 15(1), 101–109.
Rai R, Kameshwaran S and Tiwari M K (2002), “Machine-Tool Selection and Operation Allocation in FMS: Solving a Fuzzy Goal-Programming Model using a Genetic Algorithm”, International Journal of Production Research, Vol. 40 (3), 641–665.
Li F H, Wang J J (2007), “An Improved Ranking Method for ELECTRE-III”, IEEE Transaction, 6659-6662.
Gholam A M, Hamed Q S and Maryam R (2009), “Design a New Mixed Expert Decision Aiding System Using Fuzzy ELECTRE III Method for Vendor Selection”, Expert Systems with Applications, Vol. 36(8), 10837-10847.
Selcuk C and Cengiz K (2010), “Extension of Axiomatic Design Principles under Fuzzy Environment”, Expert SYSTEMS with Applications, Vol. 37, 2682-2689.
Saaty T L and Vargas L G (2001), Models, Methods, Concepts & Applications of the Analytical Hierarchy, Kluwer Academic Publishers, Dordrecht.
Cochran D S and Dobbs D C (2001/2002), “Evaluating Manufacturing System Design and Performance using the Manufacturing System Design Decomposition Approach”, Journal of Manufacturing Systems, Vol. 20(6), 390-404.
