A hybrid optimization mechanism for constructing a dynamic simulation system—An operational behavior analysis of a moving scaffolding system

Standardized production processes in the construction industry can reduce uncertainty, cost and time. The Movable Scaffolding System (MSS), a new bridge construction technique, facilitates automated operations at a high rate. In an MSS, highly repetitive mechanical operations make issues of supply and allocation of machinery and raw materials extremely important. We use Simprocess, a computer simulation software package, to construct hierarchically standardized models of MSS bridge engineering operations (MSSBEO), which encompass bridge superstructure and substructure production, procurement, storage and transmission of raw materials, and utilization of nonconsumable resources such as machines, tools and human resources. We also present a novel dynamic simulation model with a novel fuzzy inference-based optimization mechanism for multiobjective optimization that can identify the optimal resource-allocation strategy under dual goals of minimized time and cost in the MSSBEO model. We analyze the MSSBEO model using the proposed optimization system and use a case study to verify the accuracy and applicability of the proposed system. Through the human decision-making module, optimized resources allocation strategies can be quickly searched to meet actual conditions and enhance the academic value and application of the optimized resource combinations. The most suitable resource combination for an actual situation is generated by applying the proposed optimization module with the fuzzy inference mechanism. After model testing, the optimized resource combinations obtained using the proposed optimization module enhance the utilizations of each resource and reduce the overstocking of materials in the simulation to achieve the goals of reduced cost, efficient work schedules and enhanced productivity.