Multi-objective green vehicle scheduling problem considering time window and emission factors in ship block transportation
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces an optimized scheduling method for shipyard block transportation to reduce carbon dioxide emissions and energy consumption. The improved algorithm enhances efficiency and resource utilization in shipbuilding logistics.
Area Of Science
- Industrial Engineering
- Environmental Science
- Operations Research
Background
- Logistics distribution is a significant contributor to carbon dioxide emissions.
- Shipbuilding processes face challenges in efficient block transportation and resource utilization.
- Environmental concerns necessitate reductions in energy consumption within the industry.
Purpose Of The Study
- To develop an optimization model for shipyard block transportation.
- To minimize empty transport time and energy consumption of flat cars.
- To enhance resource utilization and reduce environmental impact in shipbuilding.
Main Methods
- Formulation of an optimization model considering time windows and flat car constraints.
- Design of an Improved Genetic Whale Optimization Algorithm (IGWOA).
- Comparative analysis of IGWOA against classical optimization algorithms.
Main Results
- The proposed method effectively reduces energy consumption in block transportation.
- The IGWOA demonstrates superior performance and computational efficiency.
- The scheduling method improves block transportation efficiency in shipyards.
Conclusions
- The developed energy-saving method is practical for shipyard block transportation.
- The research provides a valuable decision-making tool for shipyard managers.
- This approach contributes to greener logistics and sustainable shipbuilding practices.
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