نوع مقاله : مقاله پژوهشی
نویسندگان
1 دکتری تخصصی، گروه مهندسی صنایع آموزشی دانشکده مهندسی صنایع دانشگاه آزاد واحد پرند
2 دانشیار گروه آموزشی مهندسی صنایع، دانشگاه آزاد اسلامی واحد پرند، تهران، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
In the framework of today's modern wars, the armed forces are facing many challenges and obstacles to achieve their military goals, which can affect and limit the power of predictions and battle planning in military operations. Therefore, in the current research, the aim is to design and present a mathematical model in a way that can enable the planning of the transportation fleet of the aerospace force with the highest efficiency and the lowest cost. Therefore, in this research, in order to find optimal options and formulate relationships between variables, one-stage linear programming method and entering samples through meta-heuristic algorithms and exploratory approaches in the state space close to the real environment have been used. Considering the conflicting goals in the atmosphere of ambiguity and uncertainty, the multi-objective optimization approach has been used in order to find a set of justified solutions in operational environments in order to redesign and organize the transport fleet; Therefore, after determining the assumptions, variables and parameters of the decision-making model, the robustness of the presented model against possible risks and limitations in different scenarios was investigated and evaluated through the genetic algorithm. The results of computational tests showed that heuristic algorithms, compared to classical methods, are a favorable solver for reaching optimal solutions for managing the costs of the transportation fleet of the Aerospace Force.
کلیدواژه‌ها [English]
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