Study of Influenced Factors Affecting to the Designing of Wet Waste Transformer into Artificial Soil by Using of Hierarchical and Multiple Regression Analysis with the Designing Principle of Industrial Products

Abstract

          This research has the objectives as this following: 1. To study of influenced factors affecting to the designing procedure of wet waste transformer into artificial soil 2. To predict of the satisfaction level and the importance analysis with designing principle of the consumers.

          In this case, it has studied for the development of wet waste transformer into artificial soil with the populations that are the customer group with totally for 389 people who are interested in the wet waste transformer into artificial soil. Besides, this is involving with the project of rubbish transforming and rubbish advantage applying from total numbers of the members and the interested people in A.D. 2018. In this case, the group sample is the customer group who is interested in the wet waste transformer into artificial soil in the rubbish transformer and rubbish advantage applying project totally with 300 people. On the same way, it has applied the method of stratified random sampling by using the Rating Scale with the congruence index value at 0.611. According to the result, it was found as this following : The result from using AHP technique with testing of wet waste transformer into artificial soil by using hot rolling technique. With this case, it has considered from 6 fields standard with using for three concept idea patterns as the level of 0.20. Therefore, it has brought for the significance value from AHP analyzing procedure by the expert group as N=6 as well as ordering the importance values affecting to the development procedure that are the applying advantages as 0.377, cost prices as 0.21, beauty as 0.151, strength in transportation as 0.123, selling as 0.09 and production procedure as 0.048 by bringing the analyzing result of factor analysis to apply.

           According to the detail of cumulative sum for squared loading, it was equal to 75.879 percent and the first factor explains about the variance of information as the highest level that is in 33.491 percent as well as the second important factors for the customers that are such as the strong and durable materials and assembling (C3) , the beautiful image of products (C4) , the suitable prices with the product quality (C9) and the advantage applying for the products in quality way (C10). After that, it should bring for the factor result to develop of the products and take assessment for the models. As the result, it was found that the satisfaction level of the customers or Y is relying on the price satisfaction or 1 X in beauty field or 2 X including with the advantage applying field or 3 X according to the expectation solution or Yˆ = -3.010+1.539X₁ +0.397X₂ +0.112X₃ .