Effect Of Normalization Techniques In Robot Selection Using Weighted Aggregated Sum Product Assessment

Industrial robotic manipulators are general purpose machine to do certain task like moving materials, tools or parts. There are other reprogrammable robots which can be used for welding, spray painting and do certain hazardous task. Robots perform these tasks with precision, accuracy and can also increase the productivity. In today’s competitive world a large number of robots are available in the market with different specification. While selecting a robot the decision maker should look in detail all the attributes which affect the manipulators performance. The attributes can be categorized into beneficial and non beneficial attributes. The attributes in which higher value is desired are known as beneficial attributes like load carrying capacity, end effectors reach etc. Attributes in which lower value is desired is termed as non beneficial attributes like cost, error etc. All these attributes have different unit and are conflicting in nature. Thus decision makers face difficulty in comparing different attributes and selecting Robot. Researchers have solved various industrial robot selection problems using MADM methods. Also the effect of normalization methods was checked on these MADM methods. This paper is another attempt to check the variation in raking performance with the change in normalization technique in a new MADM method i.e. WASPAS method. This paper contain seven section introduction, the literature review of the previous work, Normalization Techniques employed in the paper, Weighted Aggregated Sum Product Assessment method, its application with the help of Illustrative Example, Comparative Analysis with other methods and conclusion.