Ready-mixed concrete (RMC) is a very popular material in the construction industry. This type of material cannot be stored, so it must be constantly and directly supplied. The transportation of RMC requires various trucks to go back and forth a lot of times from a batch plant to various construction sites in order to deliver RMC appropriately and on time. This poses a major challenge for plant managers to find an optimal dispatching sequence for RMC trucks, especially in a congested urban transportation system with frequent traffic jams. This paper aims to develop a smart and user-friendly system that integrates a meta-heuristic optimization algorithm and RMC delivery simulation with real traffic data to assist the batch plant managers determining the optimal RMC truck dispatching schedule without the need for manual processing. A case study and computer experiments are carried out to prove the feasibility of the proposed system. A mobile application is also created to demonstrate the results of the research.

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Optimization-Based Real-Time Mobile Intelligent Dispatching Schedule for Ready-Mixed Concrete Transportation

  • Nguyen Thi Nha Trang,
  • Pham Vu Hong Son

摘要

Ready-mixed concrete (RMC) is a very popular material in the construction industry. This type of material cannot be stored, so it must be constantly and directly supplied. The transportation of RMC requires various trucks to go back and forth a lot of times from a batch plant to various construction sites in order to deliver RMC appropriately and on time. This poses a major challenge for plant managers to find an optimal dispatching sequence for RMC trucks, especially in a congested urban transportation system with frequent traffic jams. This paper aims to develop a smart and user-friendly system that integrates a meta-heuristic optimization algorithm and RMC delivery simulation with real traffic data to assist the batch plant managers determining the optimal RMC truck dispatching schedule without the need for manual processing. A case study and computer experiments are carried out to prove the feasibility of the proposed system. A mobile application is also created to demonstrate the results of the research.