A Decision Support Model for the Life-Cycle Design of a Family of Oil Filters

Author(s):  
Roberto A. Ortega ◽  
Uma-Shankar Kalyan-Seshu ◽  
Bert Bras

Abstract In this paper, a decision support approach for designing a family of environmentally benign products for a ranged set of customer requirements is presented. More specifically, we incorporate environmental issues in order to minimize the environmental impact of products without sacrificing their performance characteristics and keeping competitive prices in comparison to existing products. The example problem consists of the design of a family of environmentally benign oil filters based on a variety of oil flow rate ranges. Environmental issues are represented by Life Cycle Assessments and comparisons of the existing alternatives based on their environmental impact. Emphasis is placed on highlighting the trade-off analysis for including environmental considerations in the design of a family of products and not on the results of the problem, per se.

2002 ◽  
Vol 43 (3) ◽  
pp. 285-291 ◽  
Author(s):  
Mamoru Mabuchi ◽  
Kohmei Halada ◽  
Tatsuhiko Aizawa

Manufacturing ◽  
2003 ◽  
Author(s):  
Yasushi Umeda

This paper describes the outline of “life cycle design” course the author teaches and illustrates some experiences and findings with results of questionnaires to attendees of the lecture. “Life cycle design” is a half-year course to third-year students at Tokyo Metropolitan University, Japan. The main subject is environmentally conscious design focusing on life cycle thinking. This course intends to establish general and correct viewpoints toward relationship between manufacturing industry and the environmental issues, which are indispensable knowledge as mechanical engineers, rather than to educate environmental specialists. Results of questionnaires indicate that this course succeeded in increasing students’ interest in this area and awareness of importance of the environmental issues. However, some students feel bewildered because of wide variety of topics and, therefore, lack of a central theory.


Author(s):  
Christopher Michael ◽  
◽  
Ditdit Nugeraha Utama

Twitter is a commonly used social media and can sometimes picture an entire situation especially environmental issues like waste management. Machine learning and sentiment analysis tools have also been used in many cases around the world and has produced useful results to assist decision making models. In this research Decision Support Model (DSM) and Sentiment Analysis with the help of Naïve Bayes Theorem was used to analyze the waste management case in Indonesia and find out how much improvement is needed in the current situation. The research has found that severe improvements in all of the 5 aspects analyzed is needed to elevate the waste management quality to the next level, especially with a low overall score of 45.29.


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