در هنگام جستجو کلمه در قسمت عنوان میتوانید کلمات مورد جستجو را با کاراکتر (-) جدا کنید.
کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Journal of Industrial and Systems Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: Risk,Hazardous,7×24 logistics system,Compromise Programming
- چکیده:
- چکیده انگلیسی: The transportation of hazardous materials such as gasoline has unique features due to the nature of these type of materials and the importance role of these material in human life. Therefore, determining the routing of these materials is more challengeable than non-hazardous one due to more dangerous and risky condition besides the transportation costs. Since the distribution of gasoline take places in boarding (24 hours), logistics system should be able to meet these requirements in all of days. In this paper, a new model is developed for planning the route of vehicles as 7×24 (boarding) in order to minimizing the risk of hazardous materials. The proposed vehicle routing model in this paper has been attempted to consider minimization of transportation costs, reduce emissions due to gasoline distribution, consumption, diminishing the route’s risk and suggesting suitable time for servicing customers. The proposed model turns in to a single objective model using compromise programming and then solved by GAMS software using the data of case study and then its results have been reported.
- انتشار مقاله: 28-01-1395
- نویسندگان: Amir Khosrojerdi,Ebrahim Teimoury,Armin Jabbarzedeh
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Applied Research in Water and Wastewater
- نوع مقاله: Journal Article
- کلمات کلیدی: Genetic Algorithm,Sustainable Development,Water resources management,Virtual water,Virtual water trade
- چکیده:
- چکیده انگلیسی: The water used in the production process of an agricultural or industrial product is
called "virtual water". In Iran with low average annual precipitation also lack of
available water resources, concept of the virtual water and its trade is used as a
strategy for optimal operation of water resources in many fields such as water
scarcity, drought and so on. This concept, also, could hold some interesting new
opportunities for the field of sustainable consumption. Recently, in Iran, net virtual
water import reached to (15-20)*109 m3 per year and is one out of the top ten virtual
importing countries. In this research, after virtual water applicable concepts
expressing, virtual water content in some of the agricultural products in the world
have been compared with products existence in Iran. Additionally, we selected
some strategic agricultural products, which export and import to the country, and
used an algorithm called "Genetic Algorithm", to optimize virtual water usage and
trade according to demands, agricultural situation, production cost and
environmental condition. Results showed which products how could help optimal
water resources operation and effect of virtual water usage in economic growth.- انتشار مقاله: 25-06-1396
- نویسندگان: Mohammad Hossein Karimi Pashaki,Amir Khosrojerdi,Hossein Sedghi
- مشاهده
- جایگاه : پژوهشی
- مجله: Advances in Industrial Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: Backup facilities,Location-allocation of distribution systems,Mobile warehouse,Scenario-based stochastic programming
- چکیده:
- چکیده انگلیسی: In this paper, a facility location problem of distribution systems, as one of the important and strategic issues in supply chain management, has been studied in a three-level supply chain under a stochastic condition. For this purpose, a two-stage mathematic model has been proposed for the location-allocation problem of distribution systems with regard to backup facilities for disrupting warehouse storage facilities in the three-level supply chain that minimizes the sum of the costs. In the first stage, locating the mobile warehouse of distribution systems and transferring the products between manufactures and mobile warehouses have been decided and in the second stage, meeting customer demands with regard to disrupting mobile warehouses and backup facilities have been also decided. In addition, disruption in warehouses is considered as different scenarios for overcoming computational time in large dimensions. Moreover, a Lagrangian relaxation solution framework to reduce solution time is used. Finally, numerical examples are solved with GAMS software and then the objective function of the problem is compared with the objective function of a Lagrangian relaxation solution to show the effectiveness of the proposed model.
- انتشار مقاله: 23-06-1393
- نویسندگان: Saeed Yaghoubi,Jamal Nahofti Kohne,Amir Khosrojerdi,Ahmad Mohamadi
- مشاهده