نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی کارشناسی ارشد مدیریت صنعتی ، دانشگاه شهید بهشتی.
2 استادیار، عضو هئیت علمی دانشگاه شهید بهشتی گروه مدیریت صنعتی
3 دانشیار، عضو هئیت علمی دانشگاه شهید بهشتی گروه مدیریت صنعتی
چکیده
با عنایت به اینکه شرکت هایی که در بخش نفت، گاز، پتروشیمی و سایر انرژی هایی فعال هستند، پروژه محور
هستند و با افزایش متقاضیان استفاده از گاز طبیعی با توجه به سیاست جایگزینی گاز به جای سایر سوخت های
فسیلی، شرایط خاصی بر سازمان ها و مدیران پروژه در شرکت گاز تحمیل میشود. یکی از مسائل مهم در
مبحث مدیریت پروژه، انتخاب سبد پروژه است، که یکی از فعالیتهای مهم در بسیاری از سازمانها، به ویژه
شرکت گاز میباشد. در این تحقیق در ابتدا شاخصهای تأثیرگذار بر روی پروژهها با استفاده از پیشینه تحقیق
و مصاحبه از خبرگان صنعت گاز استخراج گردید سپس با لحاظ عدمقطعیت و عدم اطمینان به برخی از
پارامترهای مدل، مدل ریاضی استوار چند هدفه تحقیق ارائه گردید که این مدل به ازای 44 حالت درجه
C ( ریسکپذیری تصمیمگیرنده
t , B
t با استفاده از الگوریتم ژنتیک با مرتب سازی غیر مغلوب )
حل گردید. در پایان به منظور ارائه یک جواب معین در جبهه پارتو جهت کمک به تصمیم- )NSGAΙΙ(
گیری از تکنیک تاپسیس استفاده گردید.
کلیدواژه‌ها
عنوان مقاله [English]
Robust Mathematical Model for Projects' Portfolio Selection and Solving with Non Dominated Sorting Genetic Algorithm II
نویسندگان [English]
- Abas Fadaei 1
- Masood Rabieh 2
- Mostafa Zandieh 3
چکیده [English]
Considering that the active companies in the field of oil, gas,
petrochemical and other energies are project-based and also the
increase of gas applicants who have taken policy of replacing the gas
instead of other fossil fuels, have imposed certain condition on
organizations and project managers in the Gas Company.One of the
most important problem in the issue of project management is project
portfolio selection which is defined one of the most important
activities in many organization such as gas organization. In this study
at first the effective indicators on projects are extracted by using the
literature and interviews with the experts of gas industry then the
mathematical robust multi objective model is provided by considering
the uncertainty and unreliability in some parameters of model. This
model is solved by using Non-dominate Sorting Genetic Algorithm
for 20 degree of risk-taking decision Gama ( , C
t B
t ).At the end for
helping in decision making the TOPSIS technique is used for
providing a specific answer in Pareto Front .
کلیدواژه‌ها [English]
- Project portfolio selection
- robust optimization
- Multi objective Optimization
- Non Dominated Sorting Genetic Algorithm
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