Optimal routing of construction materials is a critical challenge in the supply chain, particularly within Vietnam's construction industry. This study addresses the capacitated vehicle routing problem (CVRP) using a hybrid sine cosine algorithm (HSCA), designed to balance time and cost trade-offs. The HSCA’s performance is benchmarked against the sine cosine algorithm (SCA) and ant lion optimizer (ALO) in solving the multi-objective CVRP. Results are analyzed and visualized on the Pareto front, highlighting efficient trade-offs and routing options. The findings demonstrate the HSCA's effectiveness as a robust decision-support tool, offering practical implications for enhancing routing efficiency in the construction materials sector.

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Enhancing Cement Routing Decision-Making Through Multi-objective Trade-Off in Construction Management

  • Vu Hong Son Pham,
  • Van Nam Nguyen

摘要

Optimal routing of construction materials is a critical challenge in the supply chain, particularly within Vietnam's construction industry. This study addresses the capacitated vehicle routing problem (CVRP) using a hybrid sine cosine algorithm (HSCA), designed to balance time and cost trade-offs. The HSCA’s performance is benchmarked against the sine cosine algorithm (SCA) and ant lion optimizer (ALO) in solving the multi-objective CVRP. Results are analyzed and visualized on the Pareto front, highlighting efficient trade-offs and routing options. The findings demonstrate the HSCA's effectiveness as a robust decision-support tool, offering practical implications for enhancing routing efficiency in the construction materials sector.