Enhancing Production Efficiency Through Rebar Optimization Using Dynamo API in Digital Manufacturing (Case Study: Trans Sumatera Toll Road in Indonesia)
摘要
The construction of toll roads in Indonesia extensively employs reinforced concrete. Long steel bars are cut into several lengths to meet the building's requirements. However, this process inevitably leads to wastage, creating significant environmental damage due to steel bar waste. Currently, decision-making tools in design lack adequacy to support effective evaluation and implementation of construction waste minimization throughout the design stages. The methods used in efforts to minimize losses from steel bar cutting are still predominantly analytical, based on initial engineering designs, with little insight into integrating loss minimization and engineering design into integrated optimization problems, especially considering minimizing total steel reinforcement installation costs as a parallel objective. Sustainability issues in balancing reinforcement waste and crew installation costs based on optimal technical designs still need to be addressed. This study introduces an approach to minimize waste in the steel bar cutting process using Building Information Modeling (BIM) alongside Dynamo API visual programming technology to generate scripts for implementation in the field using Robomaster 45. Robomaster 45 is an automatic rebar bending machine for steel bars, thus creating a mini-manufacturing setup. Optimization using Building Information Modeling (BIM), and mini manufacturing can minimize steel cutting waste, generate optimal cutting patterns, reduce crew costs, minimize expenditures, and simultaneously preserve the environment.