A Cooperative Co-evolution Algorithm for Fuzzy Production Planning and Scheduling in Prefabricated Building Construction

Yuan, Yisong; Ye, Sudong; Yang, Hang; Lin, Lin

doi:10.1145/3448748.3448791

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…3) Dynamic scheduling model management under the multi-objective optimization (MOO) method: firstly, for the complex and changeable production (Zhai et al, 2019), the method of multi-objective optimization is adopted, and dynamic simulation means are implemented to dynamically control the complex and changeable objectives (Yuan et al, 2021b), so that the simulation tends to be more close to the real scenario, so that the production scheduling can more rigorous, and the cost can be saved (Yuan et al, 2021a). 4) Multiple algorithms integration optimization: For each stage of production scheduling to optimize one by one, that is, the use of genetic algorithms, mixed integer linear programming, differential evolution and other advanced algorithms for system integration (Li et al, 2019a), for the optimal allocation of resources, for different algorithms for different projects to support in-depth analysis and comparison of strategies (Yu, 2021), so as to carry out effective comparison of the application (Li et al, 2019b).…”

Section: Synthesis and Analysismentioning

confidence: 99%

“…With the development of prefabricated building, the construction industry has undergone a sea change, the production method from the site moved to the factory, as in the manufacturing industry, the production efficiency has been well controlled. However, with the rapid development of high technology, people are no longer satisfied with the existing production efficiency, and it has been found that the production and construction process, such as the allocation of resources, coordination of personnel matters, and adapt to fluctuating market demand and other issues on the production scheduling challenges, so it is important to further optimize the production scheduling of the prefabricated building (Yuan et al, 2021b).…”

Section: Introductionmentioning

confidence: 99%

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A Review of Production Scheduling for Prefabricated Building Components

Zhang,

Chen

et al. 2024

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The development of prefabricated buildings is changing rapidly, and production scheduling has an important impact on its development, so the optimization of production scheduling for prefabricated building components has been of particular concern to the construction industry in recent years. This paper conducts bibliometric and visuals analysis of production scheduling literature in the Scopus database by using VOS viewer analysis software, and study in-depth a series of methods and optimization techniques developed and adopted in recent years for production scheduling of prefabricated buildings. This paper summarizes the general trends in production scheduling for prefabricated buildings in the last decade and provides insights into the technologies and methods that have enabled the optimization of production scheduling problems in recent years. The potential for effective integration and consolidation between these new technologies in the context of production scheduling is also explored in the future with the rise of emerging technologies such as artificial intelligence techniques and machine learning. In conclusion, production scheduling optimization methods for prefabricated buildings should be continuously innovated and effectively integrated so as to effectively promote the development of prefabricated buildings and accelerate the transformation and upgrading of the construction industry.

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Section: Synthesis and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Review of Production Scheduling for Prefabricated Building Components

Zhang,

Chen

et al. 2024

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A bi-evolutionary cooperative multi-objective algorithm for blocking group flow shop with outsourcing option

Wang,

Li,

Zhang

et al. 2024

Expert Systems with Applications

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Scheduling Under Uncertainty for Industry 4.0 and 5.0

et al. 2022

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This article provides a review about how uncertainties in increasingly complex production and supply chains should be addressed in scheduling tasks. Uncertainty management will be particularly important in Industry 5.0 solutions that will require the close integration of operators and technical systems. To prepare for these challenging developments, this work reviews the sources of uncertainty and the scheduling algorithms that deal with the different types of models developed to handle the uncertain nature of the elements and the environment of complex technological systems. The paper not only identifies the challenges, but also the main building blocks that can help to manage and reduce uncertainties based on the I4.0 and I5.0 solutions. We hope that this study will serve as a starting point for R&D projects and algorithm developments, which will be needed primarily in the field of multi-agent, multistage and inverse optimizations.

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A Cooperative Co-evolution Algorithm for Fuzzy Production Planning and Scheduling in Prefabricated Building Construction

Cited by 4 publications

References 11 publications

A Review of Production Scheduling for Prefabricated Building Components

A Review of Production Scheduling for Prefabricated Building Components

A bi-evolutionary cooperative multi-objective algorithm for blocking group flow shop with outsourcing option

Scheduling Under Uncertainty for Industry 4.0 and 5.0

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