Review
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Year 2023, Volume: 4 Issue: 3, 5 - 13, 28.09.2023

Abstract

References

  • [1] Zarco-Periñán, P.J.; Zarco-Soto, F.J.; Zarco-Soto, I.M.; Martínez-Ramos, J.L.; Sánchez-Durán, R. CO2 Emissions in Buildings: A Synopsis of Current Studies. Energies 2022, 15, 6635.
  • [2] Ness, D.A.; Xing, K. Toward a Resource-Efficient Built Environment: A Literature Review and Conceptual Model. J. Ind. Ecol. 2017, 21, 572–592.
  • [3] Ayodele Emmanuel Ikudayisi, Albert P.C. Chan, Amos Darko, Yomi M.D. Adedeji, Integrated practices in the Architecture, Engineering, and Construction industry: Current scope and pathway towards Industry 5.0, Journal of Building Engineering, Volume 73, 2023, 106788, ISSN 2352-7102, https://doi.org/10.1016/j.jobe.2023.106788
  • [4] Hossein Omrany, Amirhosein Ghaffarianhoseini, Ruidong Chang, Ali Ghaffarianhoseini, Farzad Pour Rahimian, Applications of Building information modelling in the early design stage of high-rise buildings, Automation in Construction, Volume 152, 2023, 104934, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2023.104934
  • [5] Mohamadmahdi Aziminezhad, Roohollah Taherkhani, BIM for deconstruction: A review and bibliometric analysis, Journal of Building Engineering, Volume 73, 2023, 106683, ISSN 2352-7102, https://doi.org/10.1016/j.jobe.2023.106683.
  • [6] S.O. Ajayi, L.O. Oyedele, O.O. Akinadé, M. Bilal, H.A. Owolabi, H.A. Alaka, Ineffectiveness of construction waste management strategies: knowledge gap analysis, in: Smart, Sustainable and Healthy City, Proceeding of the First International Conference of the CIB Middle East and North Africa Research Network, CIB-MENAAt, Abu Dhabi, UAE, 2014, https://doi.org/10.13140/RG.2.1.4788.8480
  • [7] A. Ghaffarianhoseini, J. Tookey, A. Ghaffarianhoseini, N. Naismith, S. Azhar, O. Efimova, K. Raahemifar, Building information modelling (BIM) uptake: clear benefits, understanding its implementation, risks and challenges, Renew. Sust. Energ. Rev. 75 (2017) 1046–1053, https://doi.org/10.1016/j.rser.2016.11.083.
  • [8] Karagöz, M., E. (2019). Building Approximate Cost Calculation Proposal with Bim. Journal of Building Information Modeling, Issue: 1 S. 39-45.
  • [9] Eastman, C., Teicholz, P., Sacks, R., Liston, K. (2011). YBM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors, 2nd Edition.
  • [10] Liu, T., Hsieh, T.,(2011), BIM-Based Government Procurement System- The Likely Development In Taiwan, 2011 Proceedings of the 28th ISARC, Seoul, Korea, pg. 758-763.
  • [11] C. Eastman, P. Teicholz, R. Sacks, K. Liston, BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors, John Wiley & Sons, 2011. ISBN: 978-0-470-54137-1.
  • [12] J.K.W. Wong, J. Zhou, Enhancing environmental sustainability over building life cycles through green BIM: a review, Autom. Constr. 57 (Sep. 2015) 156–165, https://doi.org/10.1016/J.AUTCON.2015.06.003.
  • [13] F. Lozano, J.C. Jurado, J.A. Lozano-Galant, A. de la Fuente, J. Turmo, Integration of BIM and Value Model for Sustainability Assessment for application in bridge projects, Automation in Construction, Volume 152, 2023, 104935, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2023.104935
  • [14] K. Casta˜neda, O. S´anchez, R.F. Herrera, E. Pellicer, H. Porras, BIM-based traffic analysis and simulation at road intersection design, Autom. Constr. 131 (Nov. 2021), 103911, https://doi.org/10.1016/J.AUTCON.2021.103911
  • [15] L. Obi, B. Awuzie, C. Obi, T.S. Omotayo, A. Oke, O. Osobajo, Bim for deconstruction: an interpretive structural model of factors influencing implementation, Buildings 11 (2021), https://doi.org/10.3390/buildings11060227
  • [16] L. Ding, Y. Zhou, B. Akinci, Building information modeling (BIM) application framework: the process of expanding from 3D to computable nD, Autom. Constr. 46 (Oct. 2014) 82–93, https://doi.org/10.1016/J.AUTCON.2014.04.009.
  • [17] J. Du, Z. Zou, Y. Shi, D. Zhao, Zero latency: real-time synchronization of BIM data in virtual reality for colworkerative decision-making, Autom. Constr. 85 (Jan. 2018) 51–64, https://doi.org/10.1016/J.AUTCON.2017.10.009
  • [18] Wu, X. Wireless management system of prefabricated construction materials based on BIM technology. J Wireless Com Network 2021, 116 (2021). https://doi.org/10.1186/s13638-021-01955-x
  • [19] R. Bortolini, C.T. Formoso, D.D. Viana, Site logistics planning and control for engineer-to-order prefabricated building systems using BIM 4D modeling. Autom. Constr. 98, 248–264 (2019)
  • [20] 11. X.J. Li, Research on investment risk influence factors of prefabricated building projects. J. Civ. Eng. Manag. 26(7), 599–613 (2020)
  • [21] Jour Zhang, Haichang Shen, Wangchao 2022 Application of BIM and Internet of Things Technology in Material Management of Construction Projects, Advances in Materials Science and Engineering,5381252, https://doi.org/10.1155/2022/5381252
  • [22] Q. Xie, X. Zhou, J. Wang, X. Gao, and C. Liu, “Matching realworld facilities to building information modeling data using natural language processing,” IEEE Access, vol. 7, no. 99, 1 page, 2019.
  • [23] Y. Cao, S. Miraba, S. Rafiei, A. Ghabussi, and H. Assilzadeh, “Economic application of structural health monitoring and internet of things in efficiency of building information modeling,” Smart Structures and Systems, vol. 26, no. November, pp. 559–573, 2020.
  • [24] X. Gao, Y. Wu, and Y. Li, “Research on information integration of construction project management based on bim,” IOP Conference Series: Earth and Environmental Science, vol. 267, no. 3, Article ID 032069, 2019.
  • [25] [10] B. Hashim, N. Safie, and H. Husairi, “Building information modelling (bim) and the internet-of-things (iot): a systematic mapping study,” IEEE Access, vol. 8, no. 99, 1 page, 2020.
  • [26] Q. Tang, Z. Liu, W. Chen et al., The application of BIM in small and medium-sized smart substation—a case study of prefabricated building design. IOP Conf. Ser. Earth Environ. Sci. 186(5), 012054 (2018)
  • [27] Y. Teng, K. Li, W. Pan, et al. Reducing building life cycle carbon emissions through prefabrication: evidence from and gaps in empirical studies. Build. Environ. 132, 125–136 (2018)
  • [28] Z. Yuan, C. Sun, Y. Wang, Design for manufacture and assembly-oriented parametric design of prefabricated buildings. Autom. Constr. 88, 13–22 (2018)
  • [29] I. García-Pereira, C. Portalés, J. Gimeno et al., A collaborative augmented reality annotation tool for the inspection of prefabricated buildings. Multimedia Tools Appl. 79(4), 1–19 (2019)
  • [30] Bhaba R. Sarker, Pius J. Egbelu, T. Warren Liao, Junfang Yu, Planning and design models for construction industry: A critical survey, Automation in Construction, Volume 22, 2012, Pages 123-134, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2011.09.011.
  • [31] P. Brucker, A. Drexel, R. Möhring, K. Neumann, E. Resch, Resource-constrained project scheduling: notation, classification, models and methods, European Journal of Operational Research 112 (1) (1999) 3–41.
  • [32] W. Herroelen, E. Demeulemeester, B.D. Reyck, A note on the paper “Resourceconstrained project scheduling: Notation, classification, models and methods” by Brucker et al, European Journal of Operational Research 128 (3) (2001) 679–688.
  • [33] S. de Treville, R.D. Shapiro, A.-P. Hameri, From supply chain to demand chain: the role of lead time reduction in improving demand chain performance, Journal of Operations Management 21 (6) (2004) 613–627.
  • [34] T. Ala-Risku, M. Kärkkäinen, Material delivery problems in construction projects: a possible solution, International Journal of Production Economics 104 (1) (2005) 19–29.
  • [35] D. Rebolj, A. Taibaut, N. Cus-Babic, A. Magdic, P. Podbreznik, Development and application of a road product model, Automation in Construction 17 (6) (2011) 719–728.
  • [36] S. Christodoulou, S. Ellinas, P. Astani, Entro-based scheduling of resourceconstrained construction projects, Automation in Construction 18 (7) (2009) 919–928.
  • [37] A. Mahalingam, R. Kashyap, C. Mahajan, An evaluation of the applicability of 4D CAD on construction projects, Automation in Construction 19 (2) (2010) 148–159.
  • [38] U. Isikdag, J. Underwood, Two design patterns for facilitating building information model-based synchronous colworkeration, Automation in Construction 19 (5) (2010) 544–553.
  • [39] L.S. Pheng, C.J. Chuan, Just-in-time management of precast concrete components, Journal of Construction Engineering and Management 127 (6) (2001) 494–501.
  • [40] D. Wang, K.L. Yung, W.H. Ip, A heuristic genetic algorithm for subcontractor selection in a global manufacturing environment, IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews 31 (2) (2001) 189–198.
  • [41] R. Kapuscinski, R.Q. Zhang, P. Carbonneau, R. Moore, B. Reeves, Inventory decisions in Dell's supply chain, Interfaces 34 (3) (2004) 191–205.
  • [42] S.W. McCrary, R.R. Smith, R.N. Callahan, Comparative analysis between manufacturing and construction enterprises on the use of formalized quality management systems, Journal of Industrial Technology 22 (3) (2006) 1–8 [Electronic publication].
  • [43] H. Missbauer, W. Hauber, Bid calculation for construction projects: regulations and incentives effects of unit price contracts, European Journal of Operational Research 171 (3) (2006) 1005–1019.
  • [44] M.I. Marshall, T.L. Marsh, Consumer and investment demand for manufactured housing units, Journal of Housing Economics 16 (1) (2007) 59–71.

A Brief Review on Worker and Material Planning in Constructions with BIM

Year 2023, Volume: 4 Issue: 3, 5 - 13, 28.09.2023

Abstract

In this article, studies on labor and material planning in construction projects using BIM are discussed. With the growth of construction projects, managerial and organizational issues have started to arise. There are different studies in the literature to meet the need for labor and material planning in construction projects. In this study, the studies on the subject have been tried to be brought together to a certain extent.

References

  • [1] Zarco-Periñán, P.J.; Zarco-Soto, F.J.; Zarco-Soto, I.M.; Martínez-Ramos, J.L.; Sánchez-Durán, R. CO2 Emissions in Buildings: A Synopsis of Current Studies. Energies 2022, 15, 6635.
  • [2] Ness, D.A.; Xing, K. Toward a Resource-Efficient Built Environment: A Literature Review and Conceptual Model. J. Ind. Ecol. 2017, 21, 572–592.
  • [3] Ayodele Emmanuel Ikudayisi, Albert P.C. Chan, Amos Darko, Yomi M.D. Adedeji, Integrated practices in the Architecture, Engineering, and Construction industry: Current scope and pathway towards Industry 5.0, Journal of Building Engineering, Volume 73, 2023, 106788, ISSN 2352-7102, https://doi.org/10.1016/j.jobe.2023.106788
  • [4] Hossein Omrany, Amirhosein Ghaffarianhoseini, Ruidong Chang, Ali Ghaffarianhoseini, Farzad Pour Rahimian, Applications of Building information modelling in the early design stage of high-rise buildings, Automation in Construction, Volume 152, 2023, 104934, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2023.104934
  • [5] Mohamadmahdi Aziminezhad, Roohollah Taherkhani, BIM for deconstruction: A review and bibliometric analysis, Journal of Building Engineering, Volume 73, 2023, 106683, ISSN 2352-7102, https://doi.org/10.1016/j.jobe.2023.106683.
  • [6] S.O. Ajayi, L.O. Oyedele, O.O. Akinadé, M. Bilal, H.A. Owolabi, H.A. Alaka, Ineffectiveness of construction waste management strategies: knowledge gap analysis, in: Smart, Sustainable and Healthy City, Proceeding of the First International Conference of the CIB Middle East and North Africa Research Network, CIB-MENAAt, Abu Dhabi, UAE, 2014, https://doi.org/10.13140/RG.2.1.4788.8480
  • [7] A. Ghaffarianhoseini, J. Tookey, A. Ghaffarianhoseini, N. Naismith, S. Azhar, O. Efimova, K. Raahemifar, Building information modelling (BIM) uptake: clear benefits, understanding its implementation, risks and challenges, Renew. Sust. Energ. Rev. 75 (2017) 1046–1053, https://doi.org/10.1016/j.rser.2016.11.083.
  • [8] Karagöz, M., E. (2019). Building Approximate Cost Calculation Proposal with Bim. Journal of Building Information Modeling, Issue: 1 S. 39-45.
  • [9] Eastman, C., Teicholz, P., Sacks, R., Liston, K. (2011). YBM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors, 2nd Edition.
  • [10] Liu, T., Hsieh, T.,(2011), BIM-Based Government Procurement System- The Likely Development In Taiwan, 2011 Proceedings of the 28th ISARC, Seoul, Korea, pg. 758-763.
  • [11] C. Eastman, P. Teicholz, R. Sacks, K. Liston, BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors, John Wiley & Sons, 2011. ISBN: 978-0-470-54137-1.
  • [12] J.K.W. Wong, J. Zhou, Enhancing environmental sustainability over building life cycles through green BIM: a review, Autom. Constr. 57 (Sep. 2015) 156–165, https://doi.org/10.1016/J.AUTCON.2015.06.003.
  • [13] F. Lozano, J.C. Jurado, J.A. Lozano-Galant, A. de la Fuente, J. Turmo, Integration of BIM and Value Model for Sustainability Assessment for application in bridge projects, Automation in Construction, Volume 152, 2023, 104935, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2023.104935
  • [14] K. Casta˜neda, O. S´anchez, R.F. Herrera, E. Pellicer, H. Porras, BIM-based traffic analysis and simulation at road intersection design, Autom. Constr. 131 (Nov. 2021), 103911, https://doi.org/10.1016/J.AUTCON.2021.103911
  • [15] L. Obi, B. Awuzie, C. Obi, T.S. Omotayo, A. Oke, O. Osobajo, Bim for deconstruction: an interpretive structural model of factors influencing implementation, Buildings 11 (2021), https://doi.org/10.3390/buildings11060227
  • [16] L. Ding, Y. Zhou, B. Akinci, Building information modeling (BIM) application framework: the process of expanding from 3D to computable nD, Autom. Constr. 46 (Oct. 2014) 82–93, https://doi.org/10.1016/J.AUTCON.2014.04.009.
  • [17] J. Du, Z. Zou, Y. Shi, D. Zhao, Zero latency: real-time synchronization of BIM data in virtual reality for colworkerative decision-making, Autom. Constr. 85 (Jan. 2018) 51–64, https://doi.org/10.1016/J.AUTCON.2017.10.009
  • [18] Wu, X. Wireless management system of prefabricated construction materials based on BIM technology. J Wireless Com Network 2021, 116 (2021). https://doi.org/10.1186/s13638-021-01955-x
  • [19] R. Bortolini, C.T. Formoso, D.D. Viana, Site logistics planning and control for engineer-to-order prefabricated building systems using BIM 4D modeling. Autom. Constr. 98, 248–264 (2019)
  • [20] 11. X.J. Li, Research on investment risk influence factors of prefabricated building projects. J. Civ. Eng. Manag. 26(7), 599–613 (2020)
  • [21] Jour Zhang, Haichang Shen, Wangchao 2022 Application of BIM and Internet of Things Technology in Material Management of Construction Projects, Advances in Materials Science and Engineering,5381252, https://doi.org/10.1155/2022/5381252
  • [22] Q. Xie, X. Zhou, J. Wang, X. Gao, and C. Liu, “Matching realworld facilities to building information modeling data using natural language processing,” IEEE Access, vol. 7, no. 99, 1 page, 2019.
  • [23] Y. Cao, S. Miraba, S. Rafiei, A. Ghabussi, and H. Assilzadeh, “Economic application of structural health monitoring and internet of things in efficiency of building information modeling,” Smart Structures and Systems, vol. 26, no. November, pp. 559–573, 2020.
  • [24] X. Gao, Y. Wu, and Y. Li, “Research on information integration of construction project management based on bim,” IOP Conference Series: Earth and Environmental Science, vol. 267, no. 3, Article ID 032069, 2019.
  • [25] [10] B. Hashim, N. Safie, and H. Husairi, “Building information modelling (bim) and the internet-of-things (iot): a systematic mapping study,” IEEE Access, vol. 8, no. 99, 1 page, 2020.
  • [26] Q. Tang, Z. Liu, W. Chen et al., The application of BIM in small and medium-sized smart substation—a case study of prefabricated building design. IOP Conf. Ser. Earth Environ. Sci. 186(5), 012054 (2018)
  • [27] Y. Teng, K. Li, W. Pan, et al. Reducing building life cycle carbon emissions through prefabrication: evidence from and gaps in empirical studies. Build. Environ. 132, 125–136 (2018)
  • [28] Z. Yuan, C. Sun, Y. Wang, Design for manufacture and assembly-oriented parametric design of prefabricated buildings. Autom. Constr. 88, 13–22 (2018)
  • [29] I. García-Pereira, C. Portalés, J. Gimeno et al., A collaborative augmented reality annotation tool for the inspection of prefabricated buildings. Multimedia Tools Appl. 79(4), 1–19 (2019)
  • [30] Bhaba R. Sarker, Pius J. Egbelu, T. Warren Liao, Junfang Yu, Planning and design models for construction industry: A critical survey, Automation in Construction, Volume 22, 2012, Pages 123-134, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2011.09.011.
  • [31] P. Brucker, A. Drexel, R. Möhring, K. Neumann, E. Resch, Resource-constrained project scheduling: notation, classification, models and methods, European Journal of Operational Research 112 (1) (1999) 3–41.
  • [32] W. Herroelen, E. Demeulemeester, B.D. Reyck, A note on the paper “Resourceconstrained project scheduling: Notation, classification, models and methods” by Brucker et al, European Journal of Operational Research 128 (3) (2001) 679–688.
  • [33] S. de Treville, R.D. Shapiro, A.-P. Hameri, From supply chain to demand chain: the role of lead time reduction in improving demand chain performance, Journal of Operations Management 21 (6) (2004) 613–627.
  • [34] T. Ala-Risku, M. Kärkkäinen, Material delivery problems in construction projects: a possible solution, International Journal of Production Economics 104 (1) (2005) 19–29.
  • [35] D. Rebolj, A. Taibaut, N. Cus-Babic, A. Magdic, P. Podbreznik, Development and application of a road product model, Automation in Construction 17 (6) (2011) 719–728.
  • [36] S. Christodoulou, S. Ellinas, P. Astani, Entro-based scheduling of resourceconstrained construction projects, Automation in Construction 18 (7) (2009) 919–928.
  • [37] A. Mahalingam, R. Kashyap, C. Mahajan, An evaluation of the applicability of 4D CAD on construction projects, Automation in Construction 19 (2) (2010) 148–159.
  • [38] U. Isikdag, J. Underwood, Two design patterns for facilitating building information model-based synchronous colworkeration, Automation in Construction 19 (5) (2010) 544–553.
  • [39] L.S. Pheng, C.J. Chuan, Just-in-time management of precast concrete components, Journal of Construction Engineering and Management 127 (6) (2001) 494–501.
  • [40] D. Wang, K.L. Yung, W.H. Ip, A heuristic genetic algorithm for subcontractor selection in a global manufacturing environment, IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews 31 (2) (2001) 189–198.
  • [41] R. Kapuscinski, R.Q. Zhang, P. Carbonneau, R. Moore, B. Reeves, Inventory decisions in Dell's supply chain, Interfaces 34 (3) (2004) 191–205.
  • [42] S.W. McCrary, R.R. Smith, R.N. Callahan, Comparative analysis between manufacturing and construction enterprises on the use of formalized quality management systems, Journal of Industrial Technology 22 (3) (2006) 1–8 [Electronic publication].
  • [43] H. Missbauer, W. Hauber, Bid calculation for construction projects: regulations and incentives effects of unit price contracts, European Journal of Operational Research 171 (3) (2006) 1005–1019.
  • [44] M.I. Marshall, T.L. Marsh, Consumer and investment demand for manufactured housing units, Journal of Housing Economics 16 (1) (2007) 59–71.
There are 44 citations in total.

Details

Primary Language English
Subjects Construction Business
Journal Section Makaleler
Authors

Talip Çakmak 0000-0003-0266-6132

Publication Date September 28, 2023
Submission Date September 23, 2023
Published in Issue Year 2023 Volume: 4 Issue: 3

Cite

APA Çakmak, T. (2023). A Brief Review on Worker and Material Planning in Constructions with BIM. Sciennovation, 4(3), 5-13.