Machine Tool Selection Based on AHP and ACO

2010 ◽  
Vol 44-47 ◽  
pp. 874-878
Author(s):  
Tie Gang Li ◽  
Chu Lin Fu ◽  
Peng Guan ◽  
Tian Biao Yu ◽  
Wan Shan Wang

Aiming at uncertainty of process plans in the process decision making, the paper introduced a method based on ant colony optimization (ACO) to find out the set of optimal solutions for multi-objective machine tool selection. The Analytic Hierarchy Process (AHP) was applied to simplify process decision making plans, and the structural diagram of AHP was made up according to the different demands of manufacturing engineer. By means of the examples the different elements to different manufacturing processes are comprehensive evaluated, and the most splendid process scheme is evaluated, meanwhile the feasibility of the proposed method applying process decision making is verified.

2014 ◽  
Vol 670-671 ◽  
pp. 1421-1425 ◽  
Author(s):  
Jian Ping Tian ◽  
Hai Li Yang ◽  
Xiao Qiang Feng ◽  
Mao Tao Deng ◽  
Pei Tang

For multivariate and fuzziness of machine tool selection in CAPP system, fuzzy comprehensive evaluation has been proposed based on analytic hierarchy process. Fuzzy evaluating model system has been built. Through the synthetic analysis of the factors which influence on machine tool selection, fuzzy relation between the effecting factors is set up. Multivariate quantitative problems were solved well, and the uniqueness of machine tool selection is ensured. This method solved the problem of machine tool selection better and ensured the reliability & availability by running on the prototype system.


2013 ◽  
Vol 24 (1) ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Mohammad Hasan Aghdaie ◽  
Sarfaraz Hashemkhani Zolfani

2013 ◽  
Vol 315 ◽  
pp. 196-205 ◽  
Author(s):  
Nguyen Huu Tho ◽  
Siti Zawiah Md Dawal ◽  
Nukman Yusoff ◽  
Farzad Tahriri ◽  
Hideki Aoyama

Decision making for machine tool selection is intractable work of managers due to the factors involving the vague and imprecise information. The degree of hesitation is considered in the experts judgment. In this paper, an integration of the intuitionistic fuzzy (IF) Entropy and TOPSIS method are utilized to solve the vague information for decision-making process in machine tool selection. In particular, the weights of criteria are calculated by the IF Entropy and the TOPSIS is employed to determine the priority of alternative. The results of the numerical example show this integration is practical and easy to use for engineers and managers in the companies.


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