Intelligent planning of safe and economical construction sites: Theory and practice of hybrid multi objective decision making
Junwu WANG, Zhihao HUANG, Yinghui SONG
Intelligent planning of safe and economical construction sites: Theory and practice of hybrid multi objective decision making
Construction site layout planning (CSLP) involves strategically placing various facilities to optimize a project. However, real construction sites are complex, making it challenging to consider all construction activities and facilities comprehensively. Addressing multi-objective layout optimization is crucial for CSLP. Previous optimization results often lacked precision, imposed stringent boundary constraints, and had limited applications in prefabricated construction. Traditional heuristic algorithms still require improvements in region search strategies and computational efficiency when tackling multi-objective optimization problems. This paper optimizes the prefabricated component construction site layout planning (PCCSLP) by treating construction efficiency and safety risk as objectives within a multi-objective CSLP model. A novel heuristic algorithm, the Hybrid Multi-Strategy Improvement Dung Beetle Optimizer (HMSIDBO), was applied to solve the model due to its balanced capabilities in global exploration and local development. The practicality and effectiveness of this approach were validated through a case study in prefabricated residential construction. The research findings indicate that the HMSIDBO-PCCSLP optimization scheme improved each objective by 18% to 75% compared to the original layout. Compared to Genetic Algorithm (GA), the HMSIDBO demonstrates significantly faster computational speed and higher resolution accuracy. Additionally, in comparison with the Dung Beetle Optimizer (DBO), Particle Swarm Optimization (PSO), and Whale Optimization Algorithm (WOA), HMSIDBO exhibits superior iterative speed and an enhanced ability for global exploration. This paper completes the framework from data collection to multi-objective optimization in-site layout, laying the foundation for implementing intelligent construction site layout practices.
prefabricated construction / prefabricated component construction site layout planning (PCCSLP) / construction efficiency / safety risk / hybrid multi-strategy improvement dung beetle optimizer (HMSIDBO)
[1] |
Aydemir E, Yılmaz G, Oruc K O, (2020). A grey production planning model on a ready-mixed concrete plant. Engineering Optimization, 52( 5): 817–831
CrossRef
Google scholar
|
[2] |
Cao X, Li X, Zhu Y, Zhang Z, (2015). A comparative study of environmental performance between prefabricated and traditional residential buildings in China. Journal of Cleaner Production, 109: 131–143
CrossRef
Google scholar
|
[3] |
Choi C W, Harris F C, (1991). A model for determining optimum crane position. Proceedings—Institution of Civil Engineers, 90( 3): 627–634
CrossRef
Google scholar
|
[4] |
Cui Y, Shi RH, Dong J, (2022). CLTSA: A novel tunicate swarm algorithm based on chaotic-levy flight strategy for solving optimization problems. Mathematics, 10( 18): 1–1
CrossRef
Google scholar
|
[5] |
De Santis M, Grani G, Palagi L, (2020). Branching with hyperplanes in the criterion space: The frontier partitioner algorithm for biobjective integer programming. European Journal of Operational Research, 283( 1): 57–69
CrossRef
Google scholar
|
[6] |
El-Rayes K, Khalafallah A, (2005). Trade-off between safety and cost in planning construction site layouts. Journal of Construction Engineering and Management, 131( 11): 1186–1195
CrossRef
Google scholar
|
[7] |
Fard M M, Terouhid S A, Kibert C J, Hakim H, (2017). Safety concerns related to modular/prefabricated building construction. International Journal of Injury Control and Safety Promotion, 24( 1): 10–23
CrossRef
Google scholar
|
[8] |
HebibaA (2020). Wind-wise automated decision support tool for tower crane type selection and location. Dissertation for the Master Degree. Concordia University (in Canadian)
|
[9] |
Hong W K, Lee G, Lee S, Kim S, (2014). Algorithms for in-situ production layout of composite precast concrete members. Automation in Construction, 41: 50–59
CrossRef
Google scholar
|
[10] |
Hu S, Fang Y, Moehler R, (2023). Estimating and visualizing the exposure to tower crane operation hazards on construction sites. Safety Science, 160: 106044
CrossRef
Google scholar
|
[11] |
Huang C, Li W, Lu W, Xue F, Liu M, Liu Z, (2021). Optimization of multiple-crane service schedules in overlapping areas through consideration of transportation efficiency and operational safety. Automation in Construction, 127: 103716
CrossRef
Google scholar
|
[12] |
Huang C, Wong C K, (2015). Optimisation of site layout planning for multiple construction stages with safety considerations and requirements. Automation in Construction, 53: 58–68
CrossRef
Google scholar
|
[13] |
Hwang S, (2012). Ultra-wide band technology experiments for real-time prevention of tower crane collisions. Automation in Construction, 22: 545–553
CrossRef
Google scholar
|
[14] |
Ji Y, Leite F, (2020). Optimized planning approach for multiple tower cranes and material supply points using mixed-integer programming. Journal of Construction Engineering and Management, 146( 3): 04020007
CrossRef
Google scholar
|
[15] |
Jiang H, Jiang X, (2023). Fatigue life prediction for tower cranes under moving load. Journal of Mechanical Science and Technology, 37( 12): 6461–6466
CrossRef
Google scholar
|
[16] |
Kaveh A, Khanzadi M, Moghaddam M R, Rezazadeh M, (2018). Charged system search and magnetic charged system search algorithms for construction site layout planning optimization. periodica polytechnica. Civil Engineering, 62( 4): 841–850
CrossRef
Google scholar
|
[17] |
Li R Y, Chi H L, Peng Z Y, Li X, Chan A P C, (2023). Automatic tower crane layout planning system for high-rise building construction using generative adversarial network. Advanced Engineering Informatics, 58: 102202
CrossRef
Google scholar
|
[18] |
LinJFuYLiRLaiW (2020), An algorithm for optimizing the location and type selection of attached tower cranes based on value engineering. In: 2020 International Conference on Construction and Real Estate Management: Intelligent Construction and Sustainable Buildings, 106–117
|
[19] |
LiuYCuiJ (2020). Identification of hazard sources in prefabricated building construction by entropy weight method. In: 2020 4th International Conference on Water Conservancy, Hydropower and Building Engineering, 560(1)
|
[20] |
Lu Y, Zhu Y, (2021). Integrating hoisting efficiency into construction site layout plan model for prefabricated construction. Journal of Construction Engineering and Management, 147( 10): 04021130
CrossRef
Google scholar
|
[21] |
Monahan J, Powell J C, (2011). An embodied carbon and energy analysis of modern methods of construction in housing: A case study using a lifecycle assessment framework. Energy and Building, 43( 1): 179–188
CrossRef
Google scholar
|
[22] |
NingXLiuW H (2011). Max-min Ant system approach for solving construction site layout. In: International Conference on Mechatronics and Materials Processing. Advanced Materials Research, 328–330
|
[23] |
Ning X, Qi J, Wu C, (2018a). A quantitative safety risk assessment model for construction site layout planning. Safety Science, 104: 246–259
CrossRef
Google scholar
|
[24] |
Ning X, Qi J, Wu C, Wang W, (2018b). A tri-objective ant colony optimization based model for planning safe construction site layout. Automation in Construction, 89: 1–12
CrossRef
Google scholar
|
[25] |
Ning X, Qi J, Wu C, Wang W, (2019c). Reducing noise pollution by planning construction site layout via a multi-objective optimization model. Journal of Cleaner Production, 222: 218–230
CrossRef
Google scholar
|
[26] |
Riga K, Jahr K, Thielen C, Borrmann A, (2020). Mixed integer programming for dynamic tower crane and storage area optimization on construction sites. Automation in Construction, 120: 103259
CrossRef
Google scholar
|
[27] |
Said H, El-Rayes K, (2013). Performance of global optimization models for dynamic site layout planning of construction projects. Automation in Construction, 36: 71–78
CrossRef
Google scholar
|
[28] |
Saito A, Yamaguchi A, (2016). Pseudorandom number generation using chaotic true orbits of the Bernoulli map. Chaos, 26( 6): 063122
CrossRef
Google scholar
|
[29] |
Sanad H M, Ammar M A, Ibrahim M E, (2008). Optimal construction site layout considering safety and environmental aspects. Journal of Construction Engineering and Management, 134( 7): 536–544
CrossRef
Google scholar
|
[30] |
Tam V W Y, Tam C M, Zeng S X, Ng W C Y, (2007). Towards adoption of prefabrication in construction. Building and Environment, 42( 10): 3642–3654
CrossRef
Google scholar
|
[31] |
Tatari A, (2023). Simulating Cost risks for prefabricated construction in developing countries using bayesian networks. Journal of Construction Engineering and Management, 149( 6): 04023037
CrossRef
Google scholar
|
[32] |
TheState Council (2014). China’s National New Urbanization Plan 2014–2020, The State Council, Beijing. Available at: https://www.gov.cn/zhengce/2014-03/16/content_2640075.htm, 2023-12-21
|
[33] |
Tommelein I D, Levitt R E, Hayes-Roth B, (1992). Site layout modeling: how can artificial intelligence help. Journal of Construction Engineering and Management, 118( 3): 594–611
CrossRef
Google scholar
|
[34] |
Wang J, Zhang X, Shou W, Wang X, Xu B, Kim M J, Wu P, (2015). A BIM-based approach for automated tower crane layout planning. Automation in Construction, 59: 168–178
CrossRef
Google scholar
|
[35] |
Wang Z, Hu H, Gong J, Ma X, Xiong W, (2019). Precast supply chain management in off-site construction: A critical literature review. Journal of Cleaner Production, 232: 1204–1217
CrossRef
Google scholar
|
[36] |
Xu J, Li Z, (2012). Multi-objective dynamic construction site layout planning in fuzzy random environment. Automation in Construction, 27: 155–169
CrossRef
Google scholar
|
[37] |
Xue J, Shen B, (2023). Dung beetle optimizer: A new meta-heuristic algorithm for global optimization. Journal of Supercomputing, 79( 7): 7305–7336
CrossRef
Google scholar
|
[38] |
Yahya M, Saka M P, (2014). Construction site layout planning using multi-objective artificial bee colony algorithm with Levy flights. Automation in Construction, 38: 14–29
CrossRef
Google scholar
|
[39] |
Yang B, Fang T, Luo X, Liu B, Dong M, (2022). A BIM-based approach to automated prefabricated building construction site layout planning. KSCE Journal of Civil Engineering, 26( 4): 1535–1552
CrossRef
Google scholar
|
[40] |
Yang B, Liu B, Xiao J, Zhang B, Wang Z, Dong M, (2021a). A novel construction scheduling framework for a mixed construction process of precast components and cast-in-place parts in prefabricated buildings. Journal of Building Engineering, 43: 103181
CrossRef
Google scholar
|
[41] |
Yang X, Liu J, Liu Y, Xu P, Yu L, Zhu L, Chen H, Deng W, (2021b). A novel adaptive sparrow search algorithm based on chaotic mapping and T-Distribution mutation. Applied Sciences, 11( 23): 11192
CrossRef
Google scholar
|
[42] |
Yao G, Li R, Yang Y, (2023). An improved multi-objective optimization and decision-making method on construction sites layout of prefabricated buildings. Sustainability, 15( 7): 6279
CrossRef
Google scholar
|
[43] |
Yi W, Chi H L, Wang S, (2018). Mathematical programming models for construction site layout problems. Automation in Construction, 85: 241–248
CrossRef
Google scholar
|
[44] |
Zavari M, Shahhosseini V, Ardeshir A, Sebt M H, (2022). Multi-objective optimization of dynamic construction site layout using BIM and GIS. Journal of Building Engineering, 52: 104518
CrossRef
Google scholar
|
[45] |
Zhang C, Hammad A, (2012). Improving lifting motion planning and re-planning of cranes with consideration for safety and efficiency. Advanced Engineering Informatics, 26( 2): 396–410
CrossRef
Google scholar
|
[46] |
Zhang H, Yu L, (2021). Site layout planning for prefabricated components subject to dynamic and interactive constraints. Automation in Construction, 126: 103693
CrossRef
Google scholar
|
[47] |
Zhang R, Zhu Y, (2023). Predicting the mechanical properties of heat-treated woods using optimization-algorithm-based BPNN. Forests, 14( 5-34): 935
CrossRef
Google scholar
|
[48] |
Zhang W, Zhang H, Yu L, (2023). Collaborative planning for stacking and installation of prefabricated building components regarding crane-collision avoidance. Journal of Construction Engineering and Management, 149( 6): 04023029
CrossRef
Google scholar
|
/
〈 | 〉 |