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Non-Dominated Sorting Genetic Algorithm to inegrated model for R&D members selection | ||
Industrial Management Journal | ||
مقاله 10، دوره 6، شماره 2، مهر 2014، صفحه 385-410 اصل مقاله (1.4 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/imj.2014.51848 | ||
نویسندگان | ||
Gholamhossein Nikookar؛ Yaser Alidadi Nakhlestani* ؛ Mohammad Mahdavi؛ Seyed Jalal Mousavi | ||
چکیده | ||
An alternative for decreasing risk for knowledge workers is effective & optimized work break.Major performance criteria in R&D based organization is successful projects. Selection of opproporiate members can be a most effect on the projects achievement. But as the selection of R&D special members lead to decrease of risk, repeatative participation of this people in the same project lead to knowledge concentration and achieve organization with serios risks. Therefore attendance to knowledge and quality project angles is important to selection of R&D teams members. In this study, we developed a model based on Non-Dominated Sorting Genetic Algorithm. | ||
کلیدواژهها | ||
Research and Development Team؛ Member Selection؛ Knowledge Management؛ Multi-objective Decision Making؛ Non-dominated sorting genetic algorithm | ||
آمار تعداد مشاهده مقاله: 5,576 تعداد دریافت فایل اصل مقاله: 2,579 |