چكيده به لاتين
Planning an optimized multipurpose transportation network considering environmental time and costs is one of the most challenging and challenging issues of the present day. Currently, despite the societal benefits of rail transportation, including high safety, lower fuel consumption and pollution, this method contributes less than 20% to domestic freight. One of the reasons for this is that rail is less attractive to road owners than commodities. Owners are willing to use the road system at a greater cost and time, and therefore rail network capacity is not fully utilized. To solve this problem, the objective function needs to be optimized so that criteria such as travel costs are minimized while the product reaches the destination at a minimum and ultimately maximizes customer satisfaction. In the real world, there are some factors that make the issue of vehicle planning an uncertain one. One type of uncertainty in this issue is the variable demand of customers. The purpose of this study is to plan and allocate minerals with a suitable vehicle in the specified direction. To address this challenge, a mathematical modeling tool has been used and for validation, the model has been implemented on a real sample in Iran. Solves three types of ore, concentrate and pellet minerals once and for all, taking into account demand uncertainty, and the numerical results show that using this model reduces the total cost and thus decreases the cost of materials. Mineral leads. Other desirable effects of this model are the reduction of greenhouse gas emissions by the vehicle carrying minerals in the country. Also, by analyzing the sensitivity of the key parameters of the model, the effect of these parameters on the cost price of total cost is investigated. It is hoped that by conducting such studies and establishing logistics centers in the country, the country's logistics network will be strengthened and lead to lower logistics costs and waste.
