مدل تخصیص بودجه سههدفه نگهداری روسازی راه با استفاده از روش ترکیبی بهینهسازی پارامتریک و توابع حددار

نوع مقاله: مقاله پژوهشی

نویسنده

استادیار،گروه مهندسی عمران، دانشکده مهندسی، دانشگاه بوعلی سینا، همدان، ایران

چکیده

یکی از مسائل مهم در مدیریت روسازی راه، مسأله تخصیص بودجه در قسمتهای مختلف شبکه به منظور نگهداری و اصلاح وضعیت روسازی است. در این مقاله، مدلی سههدفه برای این منظور ارایه شده است، که تابع هدفهای آن عبارتند از: 1) کمینه کردن درصد قسمت­هایی از شبکه که در حالت بحرانی و بدتر از بحرانی (غیر از بدترین حالت) قرار دارند، و میبایست برای آنها اقدامات بهسازی انجام داد تا به وضعیت مطلوب برسند؛ 2) کمینه کردن درصد قسمت­هایی از شبکه که در بدترین حالت قرار دارند، و برای رساندن آن به وضعیت مطلوب باید اقدامات نوسازی انجام داد؛ و 3) کمینه کردن مجموع هزینه انجام شده به خاطر اصلاحات صورتگرفته در کل دوره برنامهریزی. برای حل مدل سههدفه پیشنهادشده روشی ترکیبی با استفاده از روشههای چندهدفه بهینهسازی پارامتریک و توابع حددار ارایه شده است. نتایج بکارگیری مدل نشان میدهد که علیرغم تصور ذهنی در نگاه اول، اهداف اول و دوم تحت شرایطی دارای تضاد هستند و افزایش یکی ممکن است باعث کاهش دیگری شود، و بنابراین این دو هدف را نمیتوان در غالب یک هدف واحد در نظر گرفت. یکی از خصوصیات مهم روش ارایهشده این است که پیش­بینی وضعیت روسازی از روش زنجیره مارکوف در مدل بهینهسازی گنجانده شده است و این موضوع باعث میشود که از پیشبینی و تخصیص سرمایه به صورت جداگانه و در نتیجه رسیدن به حلهای بهینه محلی پرهیز شود.

کلیدواژه‌ها


عنوان مقاله [English]

A Tri-objective Resource Allocation Model for Pavement Rehabilitation by Hybridization of Parametric and Constraint Methods

نویسنده [English]

  • M. Babaei
Assistant Professor, Civil Engineering Department, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran.
چکیده [English]

One of the important issues in road pavement management is the allocation of resource in different parts of the network in order to maintain the pavement conditions at desired levels. In this paper, a tri-objective model is proposed for this purpose, the objective functions of which are: 1) to minimize the proportion of the network that are in “critical” and worse-critical conditions (other than the “worst” condition), on which some improvement measures should be performed to reach a desired condition; (2) to minimize the proportion of the network that is in “worst” condition, and, in order to bring it to a desired condition, it should take renovation measures; and (3) to minimize the total cost incurred due to the maintenance and rehabilitation measures made during the entire planning period. To solve the tri-objective model, a hybrid method is proposed using multi-objective parametric optimization and ε-constraint methods. The results of the application of the model show that despite the mental imagination at first glance, the first and second objective functions may have conflict, so that increasing one of them may lead to decreasing the other; therefore, these two objectives cannot be considered together as a single objective function. One of the important features of the proposed method is that the Markov Chain process model, as the prediction tool for the pavement condition, is incorporated into the optimization model. This makes the pavement condition prediction and resource allocation simultaneously and prevents achieving local optimal solutions.

کلیدواژه‌ها [English]

  • Multi-objective Programming
  • Resource Allocation
  • Pavement Maintenance and Rehabilitation
  • Markov Chain Process
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