Abstract
Background: With the ever-increasing availability of data and a higher level of automation and simulation, production scheduling in the factory for prefabrication can no longer be seen as an autonomous solution. Concepts such as building information modelling (BIM), graphic techniques, databases, and interface development as well as heightened emphasis on overall-process optimization topics increase the pressure to connect to and interact with interrelated tasks and procedures. Methods: The automated optimization framework detailed in this study intended to generate optimal schedule of prefabricated component production based on the manufacturing process model and genetic algorithm method. An extraction and segmentation approach based on industry foundation classes (IFC) for prefabricated component production is discussed. During this process, the position and geometric information of the prefabricated components are adjusted and output in the extracted IFC file. Then, the production process and the completion time of each process have been examined and simulated with the genetic algorithm. Lastly, the automated optimization solution can be formed by the linking production scheduling database and the computational environment. Results: This shows that the implementation of the automated optimization framework for the production scheduling of the prefabricated elements improves the operability and accuracy of the production process. Conclusions: Based on the integration technique discussed above, the data transmission and integration in the mating application program is achieved by linking the Python-based application, the Structured Query Language (SQL) database and the computational environment. The implementation of the automated optimization framework model enables BIM models to play a better foundational role in patching up the technical gaps between prefabricated building designers and element producers.
Highlights
While the traditional construction industry has brought great changes to social activities, it is characterized by low productivity, a poor production environment, and high safety risks.The prefabricated building, a major feature of which is factory production, is a substantial revolution for the construction industry
If the team matrix is [1,2,3,10,1], the minimum completion production scheduling in prefabrication factories can no longer be considered as an autonomous time will be 7354 min
Considering the prefabricated element production, the ultimate objective of automation is to improve productivity, quality, and safety, which will contribute to production schedule design
Summary
While the traditional construction industry has brought great changes to social activities, it is characterized by low productivity, a poor production environment, and high safety risks. As widespread digital tools used in the architecture, engineering, and construction (AEC) industry, building information modeling (BIM) technologies are expected to facilitate the collaboration between component manufacturers and designers; production scheduling optimization can be achieved in the BIM environment [6]. During the production process of prefabricated components, there remains a deficiency in the automatic extraction of effective information from architectural and structural models to support manufacturing process design and production scheduling. Traditional solutions to the manufacturing process, including the model construction of prefabricated components and the manual extraction of inherited properties from architectural design models, often cause a reduction in production efficiency. Referring to the current limitations and problems, two solutions, namely commercial software, and IFC-based program development, are available to directly export dimensional data and generate process models regarding manufacturability. The automated optimization solution can be formed by linking the production scheduling database and the computational environment
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