Loading...

Simulation of Road Freight Transport Companies with Stochastic Demand

Mokhtarian, Amir | 2021

293 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54433 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Samimi, Amir
  7. Abstract:
  8. This study has added strategies to the decisions of road freight transport companies in their agent-based model. Added strategies are related to the company's supply management and in response to current and future demands. By forecasting future demand, uncertainty is to be present in this part of the demand. Firms use vehicle routing algorithms to meet existing demand, and car Sharing approaches to the second strategy. The algorithm used in the first strategy is a meta-heuristic algorithm called simulated annealing. For the second strategy, two scenarios are added to the simulation model, and in the second scenario, which is a more accurate scenario, the problem in question is defined in terms of the transportation problem. The initial solution to this problem is made by the northwest-corner method and improved in the next steps. As a case study, the information of 2017 Iranian road freight transport is used, and the companies' strategies are implemented. Also, all the road freight transport movements information of 2017 has been used to forecast the future demand. In order to evaluate the performance of the implemented strategies, it is necessary to specify the baseline scenario to evaluate the performance of the strategies; This is selected by examining the output of strategies in different situations of the problem. By implementing the second strategy, it becomes clear that the effectiveness of this strategy is affected by the ratio of supply and demand of each company. By selecting the appropriate ratio (baseline scenario), the output of the indicators related to the company and the fleet under its management will be improved. For example, the productivity of the fleet under the management of the company has increased by 10.8%, and the turnover under the management of the company has increased by 16.1%. These improvements are made by the company's forecast for the empty trip of the fleet under its management and by making more vain purposeful empty trips
  9. Keywords:
  10. Formulation ; Stochastic Demand ; Goods Transport ; Uncertainty ; Goods Distribution ; Transportation Demand Management ; Logistics Management

 Digital Object List

 Bookmark

No TOC