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A multimodal material route planning problem considering key processes at work zones.

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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.

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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.