Abstract
Different from traditional construction project management, the prefabricated building (PB) engineering has a complicated restricted relationship in scheduling scheme, and the entire project is accomplished by multi-stage collaboration in construction process. Consequently, it is of great importance for project managers to make reasonable resources scheduling to avoid disruptions caused by resource unavailability. However, the poor interoperability and interactivity still results in diverse constraints, which limit the PB construction progress. Therefore, the aim of this paper is to establish a PB resource scheduling model that satisfying resource constraints and strengthening the PB dispatch time connection. The PB construction process is divided into assembly work space, logistics work space, and production work space where the construction time note is regarded as connection constraint and the three work spaces are restrained mutually. What’s more, the optimal total amount of resources determination technology is presented to arrange the resource schedule in assembly work space to ensure the optimal resource quantity with the goals of the shortest construction time and the lowest cost. The dynamic scheduling coordination technology is put forward to logistics work space and production work space where the resource schedule is arranged with time node constraint. A high-rise building is presented as an example to illustrate the implementation of the proposed model. Results show that the presented method could effectively solve the problem of resource tension problem under the goal of the lowest cost as well as alleviate the shortage of multi-resource scheduling.
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References
Agdas D, Warne DJ, Osio-Norgaard J, Masters FJ (2018) Utility of genetic algorithms for solving large-scale construction time-cost trade-off problems. Journal of Computing in Civil Engineering 32(1):04017072, DOI: https://doi.org/10.1061/(ASCE)CP.1943-5487.0000718
Albayrak G (2020) Novel hybrid method in time-cost trade-off for resource-constrained construction projects. Iranian Journal of Science and Technology, Transactions of Civil Engineering 44(4):1295–1307, DOI: https://doi.org/10.1007/s40996-020-00437-2
Arashpour M, Bai Y, Aranda-mena G, Bab-Hadiashar A, Hosseini R Kalutara P (2017) Optimizing decisions in advanced manufacturing of prefabricated products: Theorizing supply chain configurations in off-site construction. Automation in Construction 84:146–153, DOI: https://doi.org/10.1016/j.autcon.2017.08.032
Arashpour M, Wakefield R Blismas N, Minas J (2015) Optimization of process integration and multi-skilled resource utilization in off-site construction. Automation in Construction 50:72–80, DOI: https://doi.org/10.1016/j.autcon.2014.12.002
Aye, L, Ngo T, Crawford RH, Gammampila R Mendis P (2012) Life cycle greenhouse gas emissions and energy analysis of prefabricated reusable building modules. Energy and Buildings 47:159–168, DOI: https://doi.org/10.1016/j.enbuild.2011.11.049
Babalola O, Ibem EO, Ezema IC (2019) Implementation of lean practices in the construction industry: A systematic review. Building and Environment 148:34–43, DOI: https://doi.org/10.1016/j.buildenv.2018.10.051
Baldwin A, Poon CS, Shen, LY, Austin S, Wong I (2009) Designing out waste in high-rise residential buildings: Analysis of precasting methods and traditional construction. Renewable Energy 34(9):2067–2073, DOI: https://doi.org/10.1016/j.renene.2009.02.008
Bettemir OH, Sonmez R (2015) Hybrid genetic algorithm with simulated annealing for resource-constrained project scheduling. Journal of Management in Engineering 31(5):04014082, DOI: https://doi.org/10.1061/(ASCE)ME.1943-5479.0000323
Borysenko O, Byshkin M (2021) CoolMomentum: A method for stochastic optimization by Langevin dynamics with simulated annealing. Scientific Reports 11(1):10705, DOI: https://doi.org/10.1038/s41598-021-90144-3
Carvajal-Arango D, Bahamón-Jaramillo S, Aristizábal-Monsalve P, Vásquez-Hernández A, Botero LFB (2019) Relationships between lean and sustainable construction: Positive impacts of lean practices over sustainability during construction phase. Journal of Cleaner Production 234:1322–1337, DOI: https://doi.org/10.1016/j.jclepro.2019.05.216
Chen R, Liang C, Gu D, Leung JYT (2017) A multi-objective model for multi-project scheduling and multi-skilled staff assignment for IT product development considering competency evolution. International Journal of Production Research 55(21):6207–6234, DOI: https://doi.org/10.1080/00207543.2017.1326641
Chen D, Sun FQ, Liu SX, Wang YF (2013) Priority rule based heuristics for project scheduling problems with multi-skilled workforce constraints. 2013 25th Chinese control and decision conference (CCDC), May 25–27, Guiyang, China
Chiang YH, Hon-Wan Chan E, Ka-Leung Lok L (2006) Prefabrication and barriers to entry — A case study of public housing and institutional buildings in Hong Kong. Habitat International 30(3):482–499, DOI: https://doi.org/10.1016/j.habitatint.2004.12.004
Chtourou H, Haouari M (2008) A two-stage-priority-rule-based algorithm for robust resource-constrained project scheduling. Computers & Industrial Engineering 55(1):183–194, DOI: https://doi.org/10.1016/j.cie.2007.11.017
Entezari A, Bahari M, Aslani A, Ghahremani S, Pourfayaz F (2021) Systematic analysis and multi-objective optimization of integrated power generation cycle for a thermal power plant using Genetic algorithm. Energy Conversion and Management 241:114309, DOI: https://doi.org/10.1016/j.enconman.2021.114309
García-Nieves JD, Ponz-Tienda JL, Salcedo-Bernal A, Pellicer E (2018) The multimode resource-constrained project scheduling problem for repetitive activities in construction projects. Computer-Aided Civil and Infrastructure Engineering 33(8):655–671, DOI: https://doi.org/10.1111/mice.12356
Ghoddousi P, Eshtehardian E, Jooybanpour S, Javanmardi A (2013) Multi-mode resource-constrained discrete time-cost-resource optimization in project scheduling using non-dominated sorting genetic algorithm. Automation in Construction 30:216–227, DOI: https://doi.org/10.1016/j.autcon.2012.11.014
Gibb A, Isack F (2003) Re-engineering through pre-assembly: Client expectations and drivers. Building Research & Information 31(2):146–160, DOI: https://doi.org/10.1080/09613210302000
Goulding JS, Pour Rahimian F, Arif M, Sharp MD (2015) New offsite production and business models in construction: Priorities for the future research agenda. Architectural Engineering and Design Management 11(3):163–184, DOI: https://doi.org/10.1080/17452007.2014.891501
Haugbølle K, Larsen JN, Nielsen J (2019) Construction productivity revisited: Towards measuring performance of construction output. Engineering, Construction and Architectural Management 26(5):794–813, DOI: https://doi.org/10.1108/ECAM-03-2018-0094
Hsie M, Chang CJ, Yang IT, Huang CY (2009) Resource-constrained scheduling for continuous repetitive projects with time-based production units. Automation in Construction 18(7):942–949, DOI: https://doi.org/10.1016/j.autcon.2009.04.006
Hu S, Zhang Z, Wang S, Kao Y, Ito T (2019) A project scheduling problem with spatial resource constraints and a corresponding guided local search algorithm. Journal of the Operational Research Society 70(8):1349–1361, DOI: https://doi.org/10.1080/01605682.2018.1489340
Huang Z, Zhao H (2016) Construction resource scheduling with chaotic particle swarm optimization. International Journal of Simulation and Process Modelling 11(1):1–8, DOI: https://doi.org/10.1504/IJSPM.2016.075065
Issa SB, Tu Y (2020) A survey in the resource-constrained project and multi-project scheduling problems. Journal of Project Management 5(2020):117–138, DOI: https://doi.org/10.5267/j.jpm.2019.11.001
Jaillon L, Poon C (2010) Design issues of using prefabrication in Hong Kong building construction. Construction Management and Economics 28(10):1025–1042, DOI: https://doi.org/10.1080/01446193.2010.498481
Jaillon L, Poon CS (2008) Sustainable construction aspects of using prefabrication in dense urban environment: A Hong Kong case study. Construction Management and Economics 26(9):953–966, DOI: https://doi.org/10.1080/01446190802259043
Kalhor E, Khanzadi M, Eshtehardian E, Afshar A (2011) Stochastic time-cost optimization using non-dominated archiving ant colony approach. Automation in Construction 20(8):1193–1203, DOI: https://doi.org/10.1016/j.autcon.2011.05.003
Kim MK, Sohn H, Chang CC (2014) Automated dimensional quality assessment of precast concrete panels using terrestrial laser scanning. Automation in Construction 45:163–177, DOI: https://doi.org/10.1016/j.autcon.2014.05.015
Klein R (2000) Bidirectional planning: Improving priority rule-based heuristics for scheduling resource-constrained projects. European Journal of Operational Research 127(3):619–638, DOI: https://doi.org/10.1016/S0377-2217(99)00347-1
Klimek M (2021) Financial optimization of the resource-constrained project scheduling problem with milestones payments. Applied Sciences 11(2):661, DOI: https://doi.org/10.3390/app11020661
Li X, Shen GQ, Wu P, Yue T (2019a) Integrating building information modeling and prefabrication housing production. Automation in Construction 100:46–60, DOI: https://doi.org/10.1016/j.autcon.2018.12.024
Li Z, Shen GQ, Xue X (2014) Critical review of the research on the management of prefabricated construction. Habitat International 43:240–249, DOI: https://doi.org/10.1016/j.habitatint.2014.04.001
Li X, Wu C, Wu P, Xiang L, Shen GQ, Vick S, Li CZ (2019b) SWP-enabled constraints modeling for on-site assembly process of prefabrication housing production. Journal of Cleaner Production 239:117991, DOI: https://doi.org/10.1016/j.jclepro.2019.117991
Lim YF, Wu Y (2014) Cellular bucket brigades on U-lines with discrete work stations. Production and Operations Management 23(7):1113–1128, DOI: https://doi.org/10.1111/poms.12091
Liu J, Liu Y, Shi Y, Li J (2020) Solving resource-constrained project scheduling problem via Genetic algorithm. Journal of Computing in Civil Engineering 34(2):04019055, DOI: https://doi.org/10.1061/(ASCE)CP.1943-5487.0000874
Liu C, Xiang X, Zhang C, Wang Q, Zheng L (2018) A column generation based distributed scheduling algorithm for multi-mode resource constrained project scheduling problem. Computers & Industrial Engineering 125:258–278, DOI: https://doi.org/10.1016/j.cie.2018.08.036
Lv H, Chen X, Zeng X (2021) Optimization of micromixer with Cantor fractal baffle based on simulated annealing algorithm. Chaos, Solitons & Fractals 148(1):111048, DOI: https://doi.org/10.1016/j.chaos.2021.111048
Ma H, Zhang H, Chang P (2020) 4D-based workspace conflict detection in prefabricated building constructions. Journal of Construction Engineering and Management 146(9):04020112, DOI: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001883
Maji A, Deshamukhya T, Choubey G, Choubey A (2021) Performance evaluation of perforated pin fin heat sink using particle swarm optimization and MCDM techniques. Journal of Thermal Analysis and Calorimetry 1–8, DOI: https://doi.org/10.1007/s10973-021-10872-6
Nabipoor Afruzi E, Roghanian E, Najafi AA, Mazinani M (2013) A multi-mode resource-constrained discrete time-cost tradeoff problem solving using an adjusted fuzzy dominance genetic algorithm. Scientia Iranica 20(3):931–944, DOI: https://doi.org/10.1016/j.scient.2012.12.024
Nadim W, Goulding JS (2010) Offsite production in the UK: The way forward? A UK construction industry perspective. Construction Innovation 10(2):181–202, DOI: https://doi.org/10.1108/14714171011037183
Ozcan-Deniz G, Zhu Y (2017) Multi-objective optimization of greenhouse gas emissions in highway construction projects. Sustainable Cities and Society 28:162–171, DOI: https://doi.org/10.1016/j.scs.2016.09.009
Pellerin R, Perrier N, Berthaut F (2019) A survey of hybrid metaheuristics for the resource-constrained project scheduling problem. European Journal of Operational Research 280(2):395–416, DOI: https://doi.org/10.1016/j.ejor.2019.01.063
Sallam KM, Chakrabortty RK, Ryan MJ (2020) A two-stage multioperator differential evolution algorithm for solving Resource Constrained Project scheduling problems. Future Generation Computer Systems 108:432–444, DOI: https://doi.org/10.1016/j.future.2020.02.074
Solaimani S, Sedighi M (2020) Toward a holistic view on lean sustainable construction: A literature review. Journal of Cleaner Production 248:119213, DOI: https://doi.org/10.1016/j.jclepro.2019.119213
Sonmez R, Gürel M (2016) Hybrid optimization method for large-scale multimode resource-constrained project scheduling problem. Journal of Management in Engineering 32(6):04016020, DOI: https://doi.org/10.1061/(ASCE)ME.1943-5479.0000468
Tam VWY, Tam CM, Zeng SX, Ng WCY (2007) Towards adoption of prefabrication in construction. Building and Environment 42(10):3642–3654, DOI: https://doi.org/10.1016/j.buildenv.2006.10.003
Tang JCS, Liao WC (1984) Optimal labor scheduling for construction projects in the middle east. The Annals of Regional Science 18(1):51–56, DOI: https://doi.org/10.1007/BF01291331
Vanhoucke M, Coelho J (2018) A tool to test and validate algorithms for the resource-constrained project scheduling problem. Computers & Industrial Engineering 118:251–265, DOI: https://doi.org/10.1016/j.cie.2018.02.001
Vanhoucke M, Coelho J (2021) An analysis of network and resource indicators for resource-constrained project scheduling problem instances. Computers & Operations Research 132:105260, DOI: https://doi.org/10.1016/j.cor.2021.105260
Wang H, Cai T, Li K, Pedrycz W (2021) Constraint handling technique based on Lebesgue measure for constrained multiobjective particle swarm optimization algorithm. Knowledge-Based Systems 227:107131, DOI: https://doi.org/10.1016/j.knosys.2021.107131
Wang Z, Hu H, Gong J (2018) Framework for modeling operational uncertainty to optimize offsite production scheduling of precast components. Automation in Construction 86:69–80, DOI: https://doi.org/10.1016/j.autcon.2017.10.026
Won I, Na Y, Kim JT, Kim S (2013) Energy-efficient algorithms of the steam curing for the in-situ production of precast concrete members. Energy and Buildings 64:275–284, DOI: https://doi.org/10.1016/j.enbuild.2013.05.019
Yuan Y, Ye S, Lin L, Gen M (2021) Multi-objective multi-mode resource-constrained project scheduling with fuzzy activity durations in prefabricated building construction. Computers & Industrial Engineering 158(2):107316, DOI: https://doi.org/10.1016/j.cie.2021.107316
Yuan Z, Zhang Z, Ni G, Chen C, Wang W, Hong J (2020) Cause analysis of hindering on-site lean construction for prefabricated buildings and corresponding organizational capability evaluation. Advances in Civil Engineering 2020(1):1–16, DOI: https://doi.org/10.1155/2020/8876102
Zabihi H, Habib F, Mirsaeedie L (2013) Definitions, concepts and new directions in industrialized building systems (IBS). KSCE Journal of Civil Engineering 17(6):1199–1205, DOI: https://doi.org/10.1007/s12205-013-0020-y
Zhu L, Lin J, Li YY, Wang ZJ (2021) A decomposition-based multi-objective genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem. Knowledge-Based Systems 225:107099, DOI: https://doi.org/10.1016/j.knosys.2021.107099
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This research was partially supported by the Natural Science Foundation of Hebei Title Page Province of China under Grant No. E2016203147.
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He, W., Li, W. & Meng, X. Scheduling Optimization of Prefabricated Buildings under Resource Constraints. KSCE J Civ Eng 25, 4507–4519 (2021). https://doi.org/10.1007/s12205-021-0444-8
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DOI: https://doi.org/10.1007/s12205-021-0444-8