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Optimized concrete delivery scheduling using combined simulation and genetic algorithms

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2 Author(s)
Ming Lu ; Dept. of Civil & Struct. Eng., Hong Kong Polytech. Univ., Hung Horn ; Hoi-Ching Lam

The research presented is mainly focused on how to simultaneously optimize concrete delivery scheduling and resource provisions for ready mixed concrete (RMC) plants based on a valid simulation modeling platform resulting from research, called HKCONSIM. Combined discrete-event simulation and genetic algorithms (GA) are applied in HKCONSIM to model and further optimize the one-plant-multisite RMC plant operations in Hong Kong. Logistics planning practices of RMC businesses in Hong Kong are introduced, and interfaces, features and functionalities of HKCONSIM described. The potential industry impact of the research effort is demonstrated with a case study based on one-day operations data obtained from a Hong Kong RMC plant. It is concluded that the GA-integrated simulation platforms specifically designed for RMC companies such as HKCONSIM will potentially assist managers in making optimal decisions on concrete production and delivery scheduling, thus enhancing productivity, resource utilization and concrete supply service in day-by-day operations

Published in:

Simulation Conference, 2005 Proceedings of the Winter

Date of Conference:

4-4 Dec. 2005