Multiple Attribute Decision Making: Application to Prioritize Projects for Peer Review
The American Society of Mechanical Engineers and the Institute for Regulatory Science were asked by the U.S. Department of Energy (DOE) to peer review various research and development projects funded by DOE. During the initial phases of the peer review program, it became clear that the number of projects was too large for the program to review every one of them annually or even periodically. In conjunction with these activities, a study was initiated to develop a logical process to screen all projects, prioritize those that required peer review, and eliminate those that did not need to be peer reviewed. A Multiple Attribute Decision Making technique was used to generate a composite score and prioritize the projects. The methodology described in this paper has general applicability beyond DOE-funded projects and provides managers with an approach to screen their respective projects and prioritize them for peer review. Once the process of information collection for the chosen attributes is in place, the computation will be largely automated.
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Document Type: Research Article
Publication date: 01 December 2008
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- The journal Technology is a forum for presentation of information encompassing essentially the entire field of applied sciences. Owing to the broad nature of applied sciences, authors should be guided by the interest of the readers who are likely to be knowledgeable non-specialists.