GIS-Based Optimization and Simulation of Scheduling in Smart Manufacturing Systems for Civil Engineering

Gholamhossein Lighvani Oskuee¹

1) M.Sc. in GIS, Tabriz Metropolitan Municipality, Tabriz, Iran

IOI Code : AACZ-ABBDGE
Publication : The 5th International Conference on Seismic Retrofitting(5icst.ir)
Abstract :
    Smart manufacturing systems, with the capability to plan and execute complex processes, play a significant role in enhancing productivity, reducing costs, and improving production quality in industries and civil engineering projects. One of the main challenges in these systems is the optimal scheduling of tool paths and production operations, which directly affects efficiency, resource consumption, and project execution time. This study aims to optimize and simulate the scheduling of smart manufacturing systems by leveraging a GIS-based approach for spatial analysis of resources, equipment, and production paths. In this research, intelligent algorithms were first developed for tool path scheduling and control, and then the system s performance was evaluated under various conditions using simulation. Spatial data and production resource information were analyzed in a GIS environment, and through optimization models, tool paths and operation schedules were optimized based on efficiency, cost, and time criteria. The results indicate that the integration of intelligent algorithms, simulation, and GIS provides a powerful tool to improve the performance of smart manufacturing systems in civil engineering projects, enabling precise decision-making, optimal resource allocation, and increased productivity. The findings of this study can serve as a scientific reference for engineers, planners, and project managers in optimizing production

Keywords : mart manufacturing systems scheduling optimization simulation gis civil engineering