Abstract
Despite recent advances in technologies and equipment for automated progress monitoring, most construction companies worldwide do not utilize them for their projects. This can be due to many reasons, such as the high cost of technologies and equipment, need for skilled staff, and lack of sufficient information about the impact of automated progress monitoring on project performance control. The aim of the present research is to investigate the impact of automated progress monitoring on key project performance indicators: time, cost, and quality. This study prepared based on a survey of contracting and engineering consulting firms in North America, Europe, and the Middle East. In the first part of this study, structural equation modeling is used to identify the relations of different factors of project progress monitoring (both conventional and automated) with project performance control. In the second part of the study, a benefit analysis is evaluated based on the sixteen (16) journal and international conference papers and also twenty-four (24) international construction projects for which automated progress monitoring was employed. The research findings validate the positive impact of real-time, accurate, and cost-effective automated progress monitoring environments and reveal how automated progress monitoring affects construction project success.
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Golparvar-Fard, M.; Bohn, J.; Teizer, J.; Savarese, S.; Peña-Mora, F.: Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques. Autom. Constr. 20(8), 1143–1155 (2011)
Yang, J.; Park, M.-W.; Vela, P.A.; Golparvar-Fard, M.: Construction performance monitoring via still images, time-lapse photos, and video streams: now, tomorrow, and the future. Adv. Eng. Inf. 29(2), 211–224 (2015)
Hwang, B.-G.; Zhao, X.; Ng, S.Y.: Identifying the critical factors affecting schedule performance of public housing projects. Habitat Int. 38, 214–221 (2013)
Kim, C.; Son, H.; Kim, C.: Automated construction progress measurement using a 4D building information model and 3D data. Autom. Constr. 31, 75–82 (2013)
Bosché, F.; Ahmed, M.; Turkan, Y.; Haas, C.T.; Haas, R.: The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components. Autom. Constr. 49, 201–213 (2015)
Son, H.; Bosché, F.; Kim, C.: As-built data acquisition and its use in production monitoring and automated layout of civil infrastructure: A survey. Adv. Eng. Inf. 29(2), 172–183 (2015)
Zhang, C.; Arditi, D.: Automated progress control using laser scanning technology. Autom. Constr. 36, 108–116 (2013)
Kim, C.; Son, H.; Kim, C.: Fully automated registration of 3D data to a 3D CAD model for project progress monitoring. Autom. Constr. 35, 587–594 (2013)
Maalek, R.; Ruwanpura, J.; Ranaweera, K.: Evaluation of the state-of-the-art automated construction progress monitoring and control systems, In: Construction Research Congress 2014: Construction in a Global Network, pp. 1023–1032 (2014)
Braun, A.; Borrmann, A.; Tuttas, S.; Stilla, U.: Towards automated construction progress monitoring using BIM-based point cloud processing, eWork and eBusiness in Architecture. Engineering and Construction: ECPPM 2014, 101 (2014)
Navon, R.; Sacks, R.: Assessing research issues in automated project performance control (APPC). Autom. Constr. 16(4), 474–484 (2007)
Fard, M.G.; Peña-Mora, F.: Application of visualization techniques for construction progress monitoring. Computing in Civil Engineering 2007, 216–223 (2007)
Meredith, J.R.; Mantel Jr., S.J.: Project management: a managerial approach. Wiley, Hoboken (2011)
Song, K.; Pollalis, S.N.; Pena-Mora, F.: Project dashboard: Concurrent visual representation method of project metrics on 3D building models. Computing in Civil Engineering 2005, 1–12 (2005)
Kerzner, H.; Kerzner, H.R.: Project management: a systems approach to planning, scheduling, and controlling. Wiley, Hoboken (2017)
Son, H.; Kim, C.: 3D structural component recognition and modeling method using color and 3D data for construction progress monitoring. Autom. Constr. 19(7), 844–854 (2010)
Isaac, S.; Navon, R.: Can project monitoring and control be fully automated? Constr. Manag. Econ. 32(6), 495–505 (2014)
Golparvar-Fard, M.; Peña-Mora, F.; Savarese, S.: D4AR-a 4-dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication. J. Inf. Technol. Constr. 14(13), 129–153 (2009)
Alizadehsalehi, S.; Koseoglu, O.; Celikag, M.: Integration of building information modeling (bim) and laser scanning in construction industry. AEI 2015, 163–174 (2015)
Turkan, Y.; Bosche, F.; Haas, C.T.; Haas, R.: Automated progress tracking using 4D schedule and 3D sensing technologies. Autom. Constr. 22, 414–421 (2012)
Alizadehsalehi, S.; Yitmen, I.; Celik, T.; Arditi, D.: The effectiveness of an integrated BIM/UAV model in managing safety on construction sites. Int. J. Occup. Saf. Ergon. (2018). https://doi.org/10.1080/10803548.2018.1504487
Alizadehsalehi, S.; Yitmen, I.: The impact of field data capturing technologies on automated construction project progress monitoring. Proc. Eng. 161, 97–103 (2016)
Pučko, Z.; Šuman, N.; Rebolj, D.: Automated continuous construction progress monitoring using multiple workplace real time 3D scans. Adv. Eng. Inf. 38, 27–40 (2018)
Asadi, K.; Han, K.: Real-time image-to-BIM registration using perspective Alignment for Automated Construction Monitoring, In: Construction Research Congress. pp. 388–397 (2018)
Han, K.K.; Golparvar-Fard, M.: Potential of big visual data and building information modeling for construction performance analytics: An exploratory study. Autom. Constr. 73, 184–198 (2017)
Tuttas, S.; Braun, A.; Borrmann, A.; Stilla, U.: Evaluation of acquisition strategies for image-based construction site monitoring. Int. Arch. Photogr. Remote Sen. Spatial Inf. Sci. 41 (2016)
Behnam, A.; Wickramasinghe, D.C.; Ghaffar, M.A.A.; Vu, T.T.; Tang, Y.H.; Isa, H.B.M.: Automated progress monitoring system for linear infrastructure projects using satellite remote sensing. Autom. Constr. 68, 114–127 (2016)
Irizarry, J.; Costa, D.B.: Exploratory study of potential applications of unmanned aerial systems for construction management tasks. J. Manag. Eng. 32(3), 05016001 (2016)
Teizer, J.: Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites. Adv. Eng. Inf. 29(2), 225–238 (2015)
Han, K.K.; Golparvar-Fard, M.: Appearance-based material classification for monitoring of operation-level construction progress using 4D BIM and site photologs. Autom. Constr. 53, 44–57 (2015)
Han, K.K.; Cline, D.; Golparvar-Fard, M.: Formalized knowledge of construction sequencing for visual monitoring of work-in-progress via incomplete point clouds and low-LoD 4D BIMs. Adv. Eng. Inf. 29(4), 889–901 (2015)
Braun, A.; Tuttas, S.; Borrmann, A.; Stilla, U.: A concept for automated construction progress monitoring using BIM-based geometric constraints and photogrammetric point clouds. J. Inf. Technol. Constr. (ITcon) 20(5), 68–79 (2015)
Lin, J.J.; Han, K.K.; Golparvar-Fard, M.: A framework for model-driven acquisition and analytics of visual data using UAVs for automated construction progress monitoring. Comput. Civ. Eng. 2015, 156–164 (2015)
Shahi, A.; Safa, M.; Haas, C.T.; West, J.S.: Data fusion process management for automated construction progress estimation. J. Comput. Civ. Eng. 29(6), 04014098 (2014)
Tuttas, S.; Braun, A.; Borrmann, A.; Stilla, U.: Comparision of photogrammetric point clouds with bim building elements for construction progress monitoring. Int. Arch. Photogr. Remote Sens. Spatial Inf. Sci. XL-3, 341–345 (2014)
Dimitrov, A.; Golparvar-Fard, M.: Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collections. Adv. Eng. Inf. 28(1), 37–49 (2014)
Han, K.K.; Golparvar-Fard, M.: Multi-sample image-based material recognition and formalized sequencing knowledge for operation-level construction progress monitoring. Comput. Civ. Build. Eng. 2014, 364–372 (2014)
Han, K.K.; Golparvar-Fard, M.: Automated monitoring of operation-level construction progress using 4D BIM and daily site photologs. In: Construction Research Congress 2014: Construction in a Global Network, pp. 1033–1042 (2014)
Bosché, F.; Guillemet, A.; Turkan, Y.; Haas, C.T.; Haas, R.: Tracking the built status of MEP works: Assessing the value of a Scan-vs-BIM system. J. Comput. Civ. Eng. 28(4), 05014004 (2013)
Turkan, Y.; Bosché, F.; Haas, C.T.; Haas, R.: Tracking secondary and temporary concrete construction objects using 3D imaging technologies. Comput. Civ. Eng. 2013, 749–756 (2013)
Shahi, A.; Cardona, J.M.; Haas, C.T.; West, J.S.; Caldwell, G.L.: Activity-based data fusion for automated progress tracking of construction projects. In: Construction Research Congress 2012: Construction Challenges in a Flat World, pp. 838–847 (2012)
Roh, S.; Aziz, Z.; Peña-Mora, F.: An object-based 3D walk-through model for interior construction progress monitoring. Autom. Constr. 20(1), 66–75 (2011)
Golparvar-Fard, M.; Savarese, S.; Peña-Mora, F.: Automated model-based recognition of progress using daily construction photographs and IFC-based 4D models. In: Construction Research Congress 2010: Innovation for Reshaping Construction Practice, pp. 51–60 (2010)
Motamedi, A.; Hammad, A.: RFID-assisted lifecycle management of building components using BIM data, In: Proceedings of the 26th International Symposium on Automation and Robotics in Construction, pp. 109–116 (2009)
Golparvar-Fard, M.; Peña-Mora, F.; Arboleda, C.A.; Lee, S.: Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs. J. Comput. Civ. Eng. 23(6), 391–404 (2009)
Hajian, H.; Becerik-Gerber, B.: A research outlook for real-time project information management by integrating advanced field data acquisition systems and building information modeling. Comput. Civ. Eng. 2009, 83–94 (2009)
Ibrahim, Y.; Lukins, T.C.; Zhang, X.; Trucco, E.; Kaka, A.: Towards automated progress assessment of workpackage components in construction projects using computer vision. Adv. Eng. Inf. 23(1), 93–103 (2009)
Rebolj, D.; Babič, N.Č.; Magdič, A.; Podbreznik, P.; Pšunder, M.: Automated construction activity monitoring system. Adv. Eng. Inf. 22(4), 493–503 (2008)
Hammad, A.; Motamedi, A.: Framework for lifecycle status tracking and visualization of constructed facility components. In: 7th International Conference on Construction Applications of Virtual Reality, pp. 224–232 (2007)
Chan, A.P.; Scott, D.; Chan, A.P.: Factors affecting the success of a construction project. J. Constr. Eng. Manag. 130(1), 153–155 (2004)
Todorović, M.L.; Petrović, D.Č.; Mihić, M.M.; Obradović, V.L.; Bushuyev, S.D.: Project success analysis framework: A knowledge-based approach in project management. Int. J. Proj. Manag. 33(4), 772–783 (2015)
Pinto, J.K.; Winch, G.: The unsettling of “settled science:” the past and future of the management of projects. Int. J. Proj. Manag. 34(2), 237–245 (2016)
Fahri, J.; Biesenthal, C.; Pollack, J.; Sankaran, S.: Understanding megaproject success beyond the project close-out stage. Constr. Econ. Build. 15, 48–58 (2015)
Sanvido, V.; Grobler, F.; Parfitt, K.; Guvenis, M.; Coyle, M.: Critical success factors for construction projects. J. Constr. Eng. Manag. 118(1), 94–111 (1992)
Atkinson, R.: Project management: cost, time and quality, two best guesses and a phenomenon, its time to accept other success criteria. Int. J. Proj. Manag. 17(6), 337–342 (1999)
Guide, A.: Project Management Body of Knowledge (PMBOK\({\textregistered }\) GUIDE), In: Project Management Institute (2001)
Salehi, S.A.; Yitmen, İ.: Modeling and analysis of the impact of BIM-based field data capturing technologies on automated construction progress monitoring. Int. J. Civ. Eng. 16(12), 1669–1685 (2018)
Navon, R.: Automated project performance control of construction projects. Autom. Constr. 14(4), 467–476 (2005)
Too, E.G.; Weaver, P.: The management of project management: A conceptual framework for project governance. Int. J. Proj. Manag. 32(8), 1382–1394 (2014)
Kusters, J.: The value and necessity of the project management plan: the pre-award phase of BVP projects from the vendor’s perspective. pp. 1–16 (2016)
Wang, K.-C.; Wang, W.-C.; Wang, H.-H.; Hsu, P.-Y.; Wu, W.-H.; Kung, C.-J.: Applying building information modeling to integrate schedule and cost for establishing construction progress curves. Autom. Constr. 72, 397–410 (2016)
Wang, X.; Yung, P.; Luo, H.; Truijens, M.: An innovative method for project control in LNG project through 5D CAD: a case study. Autom. Constr. 45, 126–135 (2014)
British Standards Institution. BS 6079–1:2010—Project Management: Principles and Guidelines for the Management of Projects. British Standards Institution, London (2010)
Alotaibi, N.O.; Sutrisna, M.; Chong, H.Y.: Guidelines of using project management tools and techniques to mitigate factors causing delays in public construction projects in kingdom of Saudi Arabia. J. Eng. Proj. Prod. Manag. 6(2), 90–103 (2016)
Hazır, Ö.: A review of analytical models, approaches and decision support tools in project monitoring and control. Int. J. Proj. Manag. 33(4), 808–815 (2015)
Aliverdi, R.; Naeni, L.M.; Salehipour, A.: Monitoring project duration and cost in a construction project by applying statistical quality control charts. Int. J. Proj. Manag. 31(3), 411–423 (2013)
Issa, R.R.; Olbina, S.: Building Information Modeling: Applications and Practices. American Society of Civil Engineers, Reston (2015)
Ham, Y.; Han, K.K.; Lin, J.J.; Golparvar-Fard, M.: Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works. Vis. Eng. 4(1), 1 (2016)
Ahsan, K.; Gunawan, I.: Analysis of cost and schedule performance of international development projects. Int J. Proj. Manag. 28(1), 68–78 (2010)
Kim, M.-K.; Cheng, J.C.; Sohn, H.; Chang, C.-C.: A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning. Autom. Constr. 49, 225–238 (2015)
Zhang, X.; et al.: Automating progress measurement of construction projects. Autom. Constr. 18(3), 294–301 (2009)
Azhar, S.; Nadeem, A.; Mok, J.Y.; Leung, B.H.: Building information modeling (BIM): a new paradigm for visual interactive modeling and simulation for construction projects. In: Proceedings of First International Conference on Construction in Developing Countries vol. 1, pp. 435–446 (2008)
Park, J.; Cai, H.: WBS-based dynamic multi-dimensional BIM database for total construction as-built documentation. Autom. Constr. 77, 15–23 (2017)
Golparvar-Fard, M.; Peña-Mora, F.; Savarese, S.: Automated progress monitoring using unordered daily construction photographs and IFC-based building information models. J. Comput. Civ. Eng. 29(1), 04014025 (2012)
Son, H.; Kim, C.; Kwon Cho, Y.: Automated schedule updates using as-built data and a 4D building information model. J. Manag. Eng. 33(4), 04017012 (2017)
He, Q.; Wang, G.; Luo, L.; Shi, Q.; Xie, J.; Meng, X.: Mapping the managerial areas of Building Information Modeling (BIM) using scientometric analysis. Int. J. Proj. Manag. 35(4), 670–685 (2017)
Heagney, J.: Fundamentals of Project Management. Amacom, New York (2016)
Wang, S.; Tang, W.; Li, Y.: Relationship between owners’ capabilities and project performance on development of hydropower projects in China. J. Constr. Eng. Manag. 139(9), 1168–1178 (2013)
Matthews, J.; Love, P.E.; Heinemann, S.; Chandler, R.; Rumsey, C.; Olatunj, O.: Real time progress management: Re-engineering processes for cloud-based BIM in construction. Autom. Constr. 58, 38–47 (2015)
Duffield, S.; Whitty, S.J.: Developing a systemic lessons learned knowledge model for organisational learning through projects. Int. J. Proj. Manag. 33(2), 311–324 (2015)
Martinelli, R.J.; Milosevic, D.Z.: Project Management Toolbox: Tools and Techniques for the Practicing Project Manager. Wiley, Hoboken (2016)
Patanakul, P.; Iewwongcharoen, B.; Milosevic, D.: An empirical study on the use of project management tools and techniques across project life-cycle and their impact on project success. J. Gen. Manag. 35(3), 41–66 (2010)
Jayaraman, R.: Project cost control: a new method to plan and control costs in large projects. Bus. Process Manag. J. 22(6), 1247–1268 (2016)
Aibinu, A.; Jagboro, G.: The effects of construction delays on project delivery in Nigerian construction industry. Int. J. Proj. Manag. 20(8), 593–599 (2002)
Narbaev, T.; De Marco, A.: An earned schedule-based regression model to improve cost estimate at completion. Int. J. Proj. Manag. 32(6), 1007–1018 (2014)
Ding, L.; Li, K.; Zhou, Y.; Love, P.E.: An IFC-inspection process model for infrastructure projects: Enabling real-time quality monitoring and control. Autom. Constr. 84, 96–110 (2017)
Perrenoud, A.; Lines, B.C.; Savicky, J.; Sullivan, K.T.: Using best-value procurement to measure the impact of initial risk-management capability on qualitative construction performance. J. Manag. Eng. 33(5), 04017019 (2017)
Alzahrani, J.I.; Emsley, M.W.: The impact of contractors’ attributes on construction project success: A post construction evaluation. Int. J. Proj. Manag. 31(2), 313–322 (2013)
Brace, I.: Questionnaire Design: How to Plan, Structure and Write Survey Material for Effective Market Research. Kogan Page Publishers, London (2018)
Xiong, B.; Skitmore, M.; Xia, B.: A critical review of structural equation modeling applications in construction research. Autom. Constr. 49, 59–70 (2015)
Shih, N.-J.; Wang, P.-H.: Point-cloud-based comparison between construction schedule and as-built progress: long-range three-dimensional laser scanner’s approach. J. Arch. Eng. 10(3), 98–102 (2004)
Beringer, C.; Jonas, D.; Kock, A.: Behavior of internal stakeholders in project portfolio management and its impact on success. Int. J. Proj. Manag. 31(6), 830–846 (2013)
Ahlemann, F.: Towards a conceptual reference model for project management information systems. Int. J. Proj. Manag. 27(1), 19–30 (2009)
Caniëls, M.C.; Bakens, R.J.: The effects of Project Management Information Systems on decision making in a multi project environment. Int. J. Proj. Manag. 30(2), 162–175 (2012)
Raymond, L.; Bergeron, F.: Project management information systems: An empirical study of their impact on project managers and project success. Int. J. Proj. Manag. 26(2), 213–220 (2008)
Crawford, P.; Bryce, P.: Project monitoring and evaluation: a method for enhancing the efficiency and effectiveness of aid project implementation. Int. J. Proj. Manag. 21(5), 363–373 (2003)
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The authors would like to thank all the participating firms, construction managers, project managers, civil engineers, and respondents who participated in this study.
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Alizadehsalehi, S., Yitmen, I. A Concept for Automated Construction Progress Monitoring: Technologies Adoption for Benchmarking Project Performance Control. Arab J Sci Eng 44, 4993–5008 (2019). https://doi.org/10.1007/s13369-018-3669-1
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DOI: https://doi.org/10.1007/s13369-018-3669-1