توسعه و حل يک مدل بهينه سازي دو مرحله اي جهت انتخاب و زمانبندي پرتفليوي پروژه ها در شرايط عدم اطمينان
محورهای موضوعی : مدیریت تحقیق و توسعه
طاهره حیدری
1
*
,
سید محمد سیدحسینی
2
,
احمد ماکوئی
3
1 - دانشگاه علم و صنعت ایران
2 - دانشگاه علم و صنعت ایران
3 - دانشگاه علم و صنعت ایران
کلید واژه: پرتفوليوي پروژه روش پرومته فازی مدل دومرحله اي انتخاب و زمانبندي پروژه,
چکیده مقاله :
هر سازماني بطور معمول نيازمند تصميم گيري در رابطه با انتخاب و زمانبندي يک سبد پروژه از بين يک مجموعه از پروژه هاي کانديد است. از آنجا که در سازمانها معمولا منابع کافي براي اجراي تمامي پروژه هايي که پيشنهاد مي شود وجود ندارد بنابراين وظيفه اصلي مديريت انتخاب پرتفوليويي از پروژه هاست که با منافع سازمان سازگاري بيشتري داشته باشد. تصميم نادرست در انتخاب، دو پيامد منفي به همراه خواهد داشت: از يک طرف منابع سازمان صرف پروژه هاي ضعيف و غير استراتژيک شده و اتلاف منابع و زمان را به همراه خواهد داشت و از طرف ديگر سازمان سودي را که مي توانست از صرف اين منابع در پروژه هاي مناسب ديگر به دست آورد را از دست مي دهد (هزينه فرصت از دست رفته). بنابراين انتخاب بهترين پروژه ها که با اهداف سازمان سازگاري بيشتري داشته باشد همواره يکي از دغدغه هاي مهم مديران سازمانها مي باشد. در اين مقاله يک مدل دومرحله اي براي انتخاب پرتفوليوي بهينه در شرايط عدم اطمينان پيشنهاد شده که در مرحله اول پروژه ها با توجه به معيارهاي کمي و کيفي با استفاده از روش پرومته فازي امتيازدهي شده و در مرحله دوم گزينه هاي با امتياز بالاتر با توجه به محدوديتهاي موجود انتخاب و زمانبندي مي شوند.
Because of limited resources, organizations, often, have to make crucial decisions regarding selection and scheduling of a project portfolio among the candidate projects. A poor decision might affect the organization in two ways: First, by wasting the organization’s resources (monetary cost), investing them in weak and non-strategic projects and second, by losing the opportunity to invest the resources in more profitable projects (opportunity cost). Hence, selecting a rich portfolio has been always an important role of project managers. In this article, a two-phased model for portfolio project selection in fuzzy conditions is presented; in the first phase by using fuzzy PROMTHEE method, alternative are ranked and in the second phase alternative with higher rank, concerning restrictions are selected and scheduled
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