انتخاب ربات صنعتی با استفاده از روش تصمیم گیری رمان با توجه به اولویت های عینی و ذهنی
|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|18745||2011||9 صفحه PDF||سفارش دهید|
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Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Robotics and Autonomous Systems, Volume 59, Issue 6, June 2011, Pages 367–375
Robots with vastly different capabilities and specifications are available for a wide range of applications. Selection of a robot from among the large number available in the market to suit a particular application and production environment has become a difficult task. Many methods for robot selection have been developed to date. Keeping in view the research works on industrial robot selection, a subjective and objective integrated multiple attribute decision making method is proposed in this paper for the purpose of robot selection. The method considers the objective weights of importance of the attributes as well as the subjective preferences of the decision maker to decide the integrated weights of importance of the attributes. Furthermore, the method uses fuzzy logic to convert the qualitative attributes into the quantitative attributes. Three examples are presented to illustrate the potential of the proposed method.
An industrial robot is a general purpose, reprogrammable machine with certain anthropometrical features. The recent growth of information technology and engineering sciences have been the key reason for the increased utilization of robots in different advanced manufacturing systems. Robots can perform repetitious, difficult and hazardous tasks with precision. Therefore, manufacturers prefer to use robots in many industrial applications such as assembly, machine loading, materials handling, spray painting and welding. Hence, to improve product quality and to increase productivity, robot selection has always been a vital concern for manufacturing companies.
نتیجه گیری انگلیسی
The recent growth in information technology and engineering sciences have been the key reasons for the increased utilization of robots in different advanced manufacturing systems. Manufacturers prefer to use robots in many industrial applications to perform repetitious, difficult and hazardous tasks with precision. Hence, to improve product quality and to increase productivity, robot selection has always been a vital concern for manufacturing companies. A novel multiple attribute decision making method is proposed in this paper to deal with the decision making situation of the robot selection in industrial environments considering both qualitative and quantitative attributes. The method proposed in this paper helps the decision maker in ranking robots based on either the objective weights of importance of the attributes or his subjective preferences or considering both the objective weights and the subjective preferences. The objective weights of importance of the attributes are obtained using statistical variance and AHP is suggested for considering the decision maker’s preferences on attributes. The integrated weights can be used if the decision maker wants to use both objective as well as subjective weights of the attributes for ranking the robots.