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Project selection problem under uncertainty: An application of utility theory and chance constrained programming to a real case

التفاصيل البيبلوغرافية
العنوان: Project selection problem under uncertainty: An application of utility theory and chance constrained programming to a real case
المؤلفون: Reza Hosnavi Atashgah, Siamak Noori, Behnam Beheshti Pour
المصدر: International Journal of Industrial Engineering Computations, Vol 4, Iss 3, Pp 373-386 (2013)
بيانات النشر: Growing Science, 2013.
سنة النشر: 2013
المجموعة: LCC:Industrial engineering. Management engineering
LCC:Production management. Operations management
مصطلحات موضوعية: Chance constrained programming, Project selection, Utility theory, Industrial engineering. Management engineering, T55.4-60.8, Production management. Operations management, TS155-194
الوصف: Selecting from a pool of interdependent projects under certainty, when faced with resource constraints, has been studied well in the literature of project selection problem. After briefly reviewing and discussing popular modeling approaches for dealing with uncertainty, this paper proposes an approach based on chance constrained programming and utility theory for a certain range of problems and under some practical assumptions. Expected Utility Programming, as the proposed modeling approach, will be compared with other well-known methods and its meaningfulness and usefulness will be illustrated via two numerical examples and one real case.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1923-2926
1923-2934
Relation: http://www.growingscience.com/ijiec/Vol4/IJIEC_2013_14.pdf; https://doaj.org/toc/1923-2926; https://doaj.org/toc/1923-2934
DOI: 10.5267/j.ijiec.2013.03.006
URL الوصول: https://doaj.org/article/c5a90d6f57a84d7bbf8b1cf7302ea194
رقم الأكسشن: edsdoj.5a90d6f57a84d7bbf8b1cf7302ea194
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19232926
19232934
DOI:10.5267/j.ijiec.2013.03.006