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Rezaee Nik, Ebrahim, Tavasoli Estahbanati, Mohammad Javad. (1395). A Two-objective Robust Optimization Model for Project Risks Response Selection and Explanation Solution Method. , 50(1), 37-51. doi: 10.22059/jieng.2016.59431
Ebrahim Rezaee Nik; Mohammad Javad Tavasoli Estahbanati. "A Two-objective Robust Optimization Model for Project Risks Response Selection and Explanation Solution Method". , 50, 1, 1395, 37-51. doi: 10.22059/jieng.2016.59431
Rezaee Nik, Ebrahim, Tavasoli Estahbanati, Mohammad Javad. (1395). 'A Two-objective Robust Optimization Model for Project Risks Response Selection and Explanation Solution Method', , 50(1), pp. 37-51. doi: 10.22059/jieng.2016.59431
Rezaee Nik, Ebrahim, Tavasoli Estahbanati, Mohammad Javad. A Two-objective Robust Optimization Model for Project Risks Response Selection and Explanation Solution Method. , 1395; 50(1): 37-51. doi: 10.22059/jieng.2016.59431

A Two-objective Robust Optimization Model for Project Risks Response Selection and Explanation Solution Method

Advances in Industrial Engineering
مقاله 4، دوره 50، شماره 1، تیر 2016، صفحه 37-51    اصل مقاله (433.45 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jieng.2016.59431
نویسندگان
Ebrahim Rezaee Nik* ؛ Mohammad Javad Tavasoli Estahbanati
Sadjad University of Technology, Mashhad, Iran
چکیده
Risk management is one of the most important aspects of project management that identifies, assesses and responds to project risks. Although many papers have been published in project risk response, presented tools and methods are poor. Hence, in this paper, we present an optimization model to respond project risk that seeks to optimize two key criteria of project: cost and time. The proposed model has two objectives that one of them is minimization of the total cost that include abatement action cost and the cost of risk loss on project, and the other one is minimization of the time loss of risk (i.e., maximization robust measure) according to a free float activity’s measure. The model tries to choose abatement actions of risk that loss of them on time activity is greater than free float activity. Subsequently, three solution methods (i.e., exact, heuristic and meta-heuristic) are proposed. Then we create ten sample projects in three categories (i.e., small, medium and large scale) and solve the problems with the proposed methods and compare the results.
کلیدواژه‌ها
Genetic Algorithm؛ Greedy algorithm؛ Project risk response؛ Robust optimization model
عنوان مقاله [English]
یک مدل بهینه‌سازی دو هدفة استوار برای انتخاب پاسخ به ریسک‌های پروژه و تبیین روش‌های حل مدل
نویسندگان [English]
ابراهیم رضایی نیک؛ محمد جواد توسلی اصطهباناتی
استادیار، گروه مهندسی صنایع، دانشگاه صنعتی سجاد، مشهد
چکیده [English]
مدیریت ریسک یکی از بخش‌های تأثیرگذار مدیریت پروژه است که ریسک‌های مربوط به پروژه را شناسایی و ارزیابی می‌کند و به آن پاسخ می‌دهد. در چند سال اخیر، با وجود انتشار تحقیقات مختلف در مبحث پاسخ به ریسک پروژه، ابزار و روش‌های معدودی در این زمینه ارائه شده است. از این‌رو، در این پژوهش یک مدل بهینه‌سازی پاسخ به ریسک پروژه پیشنهاد شده است که به‌دنبال بهینه‌سازی دو معیار کلیدی زمان و هزینة پروژه است. مدل دارای دو هدف است که یک هدف، حداقل‌سازی زیان کل مورد انتظار، شامل هزینة اجرای اقدام‌ها و آثار نامطلوب ریسک بر هزینة پروژه و هدف دیگر کمینه‌سازی اثر زمانی ریسک (بیشینه‌کردن معیار استواری) با توجه به معیار شناوری آزاد فعالیت‌هاست. در این مدل، اقداماتی برای کاهش ریسک‌ انتخاب می‌شود که میزان اثر زمانی آن‌ها بر زمان هر فعالیت بیشتر از شناوری آزاد آن است. درادامه، سه روش حل دقیق، ابتکاری و فرا ابتکاری پیشنهاد شده است که با ایجاد ده پروژه در سه دسته با مقیاس کوچک، متوسط و بزرگ و حل مسائل از سه روش پیشنهادی، نتایج مقایسه شده است.
کلیدواژه‌ها [English]
الگوریتم حلقوی, الگوریتم ژنتیک, پاسخ به ریسک پروژه, رویکرد استوار, شناوری فعالیت, مدل بهینه‌سازی
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