Interactive Decision Making in Multiple Objective Programming for Parameters Setting of Turing Process

• Main Authors: CHEN,JIA-JUN, 陳加鈞
• Other Authors: WENG,WEI-TAI
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/55938704390415115752

碩士 === 明志科技大學 === 工業工程與管理系碩士班 === 105 === Cutting parameters are the most important control factors in turning process, and the optimal cutting parameters setting can be formulated as a multiple objective geometric programming problem. In this research, by taking logarithmic transformation to all the variables and parameters, firstly we translate the multiple objective geometric programming model to the multiple objective linear programming (MOLP) model. Secondly, we analyze the Pareto optimal solution set for all possible given parameters, then conclude that there are only four kinds of Pareto optimal set in this model.　 We develop an algorithm for finding the most proper Pareto optimal solution under the preference of the decision maker by interactive process. Finally, we complete the coding for the proposed algorithm using C language, and prove that the program is accurate by real world parameters setting of turning process testing.