Research On The Statistical Model Of The Cost Savings In Logistics Transportation
- DOI
- 10.2991/asei-15.2015.90How to use a DOI?
- Keywords
- statistical model physical transportation; transportation cost; freight volume;
- Abstract
In the research process of statistical modeling method on the conservation of transport logistics costs, the current statistical model in the establishment of logistics transport save cost, has defects of inappropriate statistics of the cost of logistics and transport and establish a model error. Therefore, a statistical modeling method based on the agent algorithm for saving cost in logistics transportation is proposed. The method is on basis of transport and logistics cost, split logistics and transport of each process into the cost calculation to account the logistics cost in the enterprise and integrate in the minimum cost rule. Under the premise of ensuring the time and quality of logistics transportation, the distribution of freight volume is performed with the minimum cost of transportation. On the basis of the application of statistical data on the cost saving of logistics transportation, the least squares fitting of the cost in logistics transportation is carried out. A statistical forecasting model of cost saving in logistics transportation is constructed using the method of coordinate rotation of the accelerating step size to solve the exact completion of the logistics transportation cost savings. The experimental results show that the method of saving the cost of the logistics transportation based on the agent algorithm is highly accurate and practical.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Quan mei Gu PY - 2015/05 DA - 2015/05 TI - Research On The Statistical Model Of The Cost Savings In Logistics Transportation BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 445 EP - 449 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.90 DO - 10.2991/asei-15.2015.90 ID - Gu2015/05 ER -