Hub location problem has been one of the most interesting areas of location problems in recent decades. Hubs are critical centers that have a significant role in networks such as logistic, distribution and transportation networks. Therefore, it is necessary to design reliable hub networks to overcome different interruptions. In this article, we have proposed a new concept in hub location problems called preventive reliable hub location problem which is based on passive defense definitions. When valuable objects are transported via networks, many intentional crimes such as attack or robbery may occur. To make transportation faster and cheaper, it is desired to use hub and spoke networks. In addition, preventive reliable hub location problem is designed to secure the network and prevent loss of values. To make the network more reliable and save all common properties, three new objects have been added to the usual hub networks: fake hub, fake allocation and fake flow. A mixed integer linear programming is used to model preventive reliable hub location problem and solved using literature data. Finally, the results are represented.

In every production plant, it is necessary to have an estimation of production level. Sometimes there are many parameters affective in this estimation. In this paper, it tried to find an appropriate estimation of production level for an industrial factory called Barez in an uncertain environment. We have considered a part of production line, which has different production time for different kind of products, which means both environmental and system uncertainty. To solve the problem we have simulated the line and because of the uncertainty in the times, fuzzy simulation is considered. Required fuzzy numbers are estimated by the use of bootstrap technique. The results are used in production planning process by factory experts and have had satisfying consequences. Opinions of these experts about the efficiency of using this methodology, has been attached.