Objective-based multiple attribute decision-making method for plastic manufacturing process selection
P.L. Ramkumar and
D.M. Kulkarni
International Journal of Manufacturing Technology and Management, 2014, vol. 28, issue 4/5/6, 184-199
Abstract:
Selection of appropriate manufacturing process for processing plastics is the biggest challenge during the preliminary design stage. As the selection decisions are complex, there is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations in making right decisions. In this paper, we have explored an objective-based multiple attribute decision-making (MADM) method for the selection of plastic manufacturing process. The method uses fuzzy logic to convert qualitative attributes into the quantitative attributes. The procedure has been adapted to rank different process, to quantitatively assist a designer to select a suitable process from a long list for a specific application. A case study of process selection for a plastic moulded automotive fuel tank is used to explain the intricacies involved. The selection is also compared with other graphical methods of decision-making.
Keywords: process selection; multiple attribute decision making; MADM; graphical methods; line graph; spider graph; plastics manufacturing; decision analysis; preliminary design; fuzzy logic; process design; plastic moulding; moulded fuel tanks; automotive fuel tanks; case study. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=66696 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmtma:v:28:y:2014:i:4/5/6:p:184-199
Access Statistics for this article
More articles in International Journal of Manufacturing Technology and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().