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A multimodal material route planning problem considering key processes at work zones
Youmiao Wang1, Rui Song1, Ziqi Zhao1
1Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, China.
This study optimizes engineering logistics by developing a multimodal material route planning model. It enhances efficiency and reliability for large-scale projects by considering work zone processes and using the ε-constraint method.
Area of Science:
- Operations Research
- Logistics Management
- Engineering Management
Background:
- Large-scale engineering projects necessitate efficient logistics solutions.
- Engineering logistics and multimodal transportation are complex fields with limited integrated research.
- Real-world applications require realistic transport solutions considering work zone processes.
Purpose of the Study:
- To address the multimodal material route planning problem (MMRPP) in engineering logistics.
- To develop a multi-objective model minimizing total transport cost and time.
- To enhance the realism and applicability of transport solutions for engineering projects.
Main Methods:
- Proposed a multi-objective multimodal transport route planning model.
- Integrated key work zone processes into the planning model.
- Utilized the ε-constraint method to obtain Pareto optimal solutions.
Main Results:
- The model provides more time-efficient and less time-consuming route planning.
- Incorporating work zone processes leads to more realistic solutions.
- The ε-constraint method yields more reliable results than traditional approaches.
Conclusions:
- The developed model effectively optimizes multimodal transport routes for engineering logistics.
- The integration of work zone processes enhances the practical utility of the solution.
- The ε-constraint method offers a superior approach for multi-objective decision-making in logistics planning.
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