期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2021
卷号：13
页码：266-274
语种：English
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：Seaweeds are one of the important sources of raw material for food or additives in food industries. To minimize the costs of production as well as increasing life expectancy, a new spin grind dryer seaweed powder machine is proposed, which combined the four processes in one machine to replace the conventional approach called spin grind dryer seaweed machine. Therefore, this paper presents a selection process that integrates the Analytical Hierarch Process along with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) in the selection process. This paper focus on determining the most appropriate decision on the conceptual design of spin grind dryer seaweed machine using AHP and TOPSIS. There were 4 different conceptual design of spin grid dryer seaweed machine have been proposed. 3D modelling designs were produced using CATIA software. To determine the best concept design there are 5 criteria were considered namely ease of use, ergonomics, size, cost and ease of maintenance. The AHP was employed to determine the priority vector for each criteria and TOPSIS was used to determine the appropriate design concept during the selection process. The results of the selection process showed that design concept 1 was selected as the best conceptual design for the spin grid dryer seaweed powder machine due to it has the maximum relative closeness to the ideal resolution. AHP and TOPSIS are capable of helping designers to determine the best decision at the early stage of the design process.
