• 沒有找到結果。

Multi-Criteria Decision Making Method for Selection of Machine Tool

N/A
N/A
Protected

Academic year: 2021

Share "Multi-Criteria Decision Making Method for Selection of Machine Tool"

Copied!
2
0
0

加載中.... (立即查看全文)

全文

(1)

Multi-Criteria Decision Making Method for Selection of Machine

Tool

*Jo-Peng Tsai

Department of Computer Science and Information Engineering

Far East University Tainan County, Taiwan *Email: perng@cc.feu.edu.tw

Shan-Yang Wang Department of Computer Science and

Information Engineering Far East University Tainan County, Taiwan Email: mango@cc.feu.edu.tw

Hsin-Yu Cheng

Department of Computer Science and Information Engineering

Far East University Tainan County, Taiwan Email: hycheng@cc.kuas.edu.tw

Yung-Chou Kao

Department of Mechanical Engineering National Kaohsiung University of Applied

Sciences

Kaohsiung City, Taiwan Email: yckao@cc.kuas.edu.tw

Abstract—The objective of this paper is to show how to determine the valuable criteria for selecting machine tools from the vast amount of specifications of CNC machine tools along with consulting the experts with abundant mold manufacturing experiences is. This research also demonstrate the multi-criteria decision making (MCDM) method towards efficient selections of CNC machine tools that would satisfy the needs of an organization. The research results can serve as a decision-making reference for manufacturing shops to select new machine tools.

Keywords-Selection for Machine Tool, Multi-Criteria Decision Making (MCDM), Analytic Hierarchy Process (AHP)

I. Introduction

There are many different types of machine tools used in industry. However, lack of objective evaluation criteria results in the difficulty for selecting machine for the decision-maker. Selection of the right machine tools is a key decision-making for most manufacturing companies. The decision-maker should be an expert or at least be very familiar with the specifications of machine tool to select the most suitable of all available tools. However, a survey conducted by Gerrard reveals that the role of engineering staff in authorization for final selection is 6%, the rest belongs to middle and upper management (94%) [1].

The 4-axis vertical machining machine is one of the

most versatile and useful machines in a manufacturing shop. In this paper, we use the selection for The 4-axis vertical machining machine as an example to demonstrate the MCDM process. There are two objectives in this paper: 1. identify important evaluation criteria for selecting 4-axis CNC machining centers, and 2. provide the research process in this paper as a reference for the manufacturing shops to select machine.

II. Literature review

A. Analytic hierarchy process.

The MCDM theories integrating logic reasoning, mathematics, computer science, operation research, management science to solve the problems with multiple attributes in the real-world. The Analytic Hierarchy Process (AHP) is a famous method in MCDM theories. The AHP was first developed by Satty [2]. This method divides a complicated system under study into a hierarchical systems of elements. Pairwise comparisons are made of the elements of each hierarchy by mean of a nominal scale. Then, comparisons are quantified to establish a comparison matrix, and the eigenvector of the matrix is derived, which signifies the comparative weight 2010 International Symposium on Computer, Communication, Control and Automation

978-1-4244-5567-6/10/$26.00 ©2010 IEEE 3CA 2010 

(2)

machine tool, deciding the final evaluating criteria for selecting the 4-axis machining center. Based on the criteria-evaluating architecture, the decision-maker can clearly observe the whole range of evaluatiion factors and its levels for selecting feasible machines so that it is possible to avoid being confused by the large variety of specification that could contain incomplete, even biased information.

References

[1] W. Gerrand, “A Strategy for selecting and introducing new technology/machine tools”, Advanced in Manufacturing Technology

III, Proceedings Fourth National Conference on Production Research, London, 1998, pp. 532-536.

[2] T. L. Satty, Multicriteria Decision Making: The Analytic Hierarchy Process, RWS Publications, PA., 1990.

[3] M. T. Tabucanon, D. N. Batanov, and D.K. Verma, “Intelligent decision support system (DSS) for the selection process of alternative machines for flexible manufacturing systems (FMS)”, Computers in Industry, Vol. 25, 1994, pp. 131–143.

[4] Z. C. Lin, and C. B. Yang, “Evaluation of machine selection by the AHP method”, Journal of Material Processing Technology, Vol. 57, 1996, pp. 253–258.

[5] T. Y. Wang, C. F. Shaw, and Y. L. Chen, “Machine selection in flexible manufacturing cell: a fuzzy multiple attribute decision making approach”, International Journal of Production Research, Vol. 38, No. 9, 2000, pp. 2079–2097.

[6] M. Yurdakul, “AHP as a strategic decision-making tool to justify machine tool selection”, Journal of Materials Processing

Technology, Vol. 146, 2004, pp. 365–376.

[7] O. Durán and J. Aguilo, “Computer-aided machine-tool selection based on a Fuzzy-AHP approach”, Expert Systems with Applications, Vol. 34, 2008, pp. 1787–1794.

[8] J. H. Wu, “A generic solution framework and a mixed model for selecting an expert system development tool,” Journal of the

Chinese Institute of Industrial Engineers, Vol. 14, No. 3, 1997, pp.

227-235.

參考文獻

相關文件

【Keywords】Life-City; Multiple attribute decision analysis (MADA); Fuzzy Delphi method (FDM); Fuzzy extented analytic hierarchy process

Therefore, this research paper tries to apply the perspective of knowledge sharing to construct the application model for the decision making method in order to share the

By using Balanced Scorecard (BSC), the purpose of this study is to construct indicators of school management with Analytic Hierarchy Process (AHP) for L junior high school in

Keywords: Standard Hotels, Service Quality, Kano’ s Model, Decision Making Trial and Evaluation Laboratory (DEMATEL), Importance-Performance Analysis

Keywords: Green Building Social Indicators, Housing Community, Factor Analysis (FA), Fuzzy Extent Analytic Hierarchy Process Method

Ko, “Fast Intra Prediction Mode Selection Scheme Using Temporal Correlation in H.264,” IEEE International Region 10 Conference, pp. Yu, “A Fast Mode Decision Method for

Keywords:Long-distance Steep Turn Pipe Impelling Construction Method, Analytic Hierarchy Process (AHP), technology transfer, Delphi Method, assessment standards... 誌

In order to have a complete and efficient decision-making policy, it has to be done with multi-dimensional reflection and analysis; The multi-criteria decision-making analysis