Developing Framework to Optimize the Preparation of (EOT) Claims Using Integration of (LPS) and (BIM) Techniques in Construction Projects

El-Samadony, Adel; Tantawy, Mohamed; Atta, Mohamed M.

doi:10.21608/jesaun.2021.169075

Developing Framework to Optimize the Preparation of (EOT) Claims Using Integration of (LPS) and (BIM) Techniques in Construction Projects

Document Type : Research Paper

Authors

¹ Professor of Construction Engineering and Management- Civil Engineering Department- Helwan University- Cairo, Egypt

² Assistant Professor of Construction Engineering and Management- Civil Engineering Department- Helwan University- Cairo, Egypt

³ MSc Candidate Construction Project Management- Faculty of Engineering Department- Helwan University- Cairo, Egypt

10.21608/jesaun.2021.169075

Abstract

Construction projects face delays and disturbances that could be caused by one of the contracting parties, both of them, or beyond their control. Proving the delay needs a significant effort to introduce all details, documents, and records which explain the causes of the delays. The contractor needs to submit a claim, whether it is extension of time (EOT) claim or any claim with an adequate definition, causation, liabilities, analysis of delays to get an extension of time-related to the risk event. Claims preparation processes need to be collected and documented daily throughout the project phases, especially during construction phases.
Lean Construction, with its common technique, the last planner system (LPS), and building information modeling (BIM) have significant synergies and can bring benefits when implemented together to support the preparation of the extension of time (EOT) claim. Building information modeling used as a digital platform to facilitate communication between the project team, improve project performance, and implement the last planner system (LPS) phases effectively. (LPS) is enhancing the coordination within the project team.
The primary purpose of the research is to develop Framework to Optimize the preparation of extension of time (EOT) Claims Using Integration of the last planner system (LPS) and building information modeling (BIM) Techniques in Construction Projects. The integration will represent in implementation of the appropriate (BIM) functionalities along with the five phases of the last planner system (LPS). As a result of the integration, the inputs and outputs well documented, which considered as the primary support to the processes preparation of the extension of time (EOT) claim. Also, The framework supported by process flowchart to clarify outputs, inputs, and the project team's responsibility, Which will contribute to optimizing the preparation of the extension of time (EOT) claims.

Keywords

Main Subjects

Civil Engineering: structural, Geotechnical, reinforced concrete and steel structures, Surveying, Road and traffic engineering, water resources, Irrigation structures, Environmental and sanitary engineering, Hydraulic, Railway, construction Management.

References

1. Perera, N. A., Sutrisna, M., & Yiu, T. W. (2016). Decision-making model for selecting the optimum method of delay analysis in construction projects. Journal of Management in Engineering, 32(5), 04016009.

2. Hosny, O. A., Elbarkouky, M. M., & Elhakeem, A. (2015). Construction Claims Prediction and Decision Awareness Framework using Artificial Neural Networks and Backward Optimization. Journal of Construction Engineering and Project Management, 5(1), 11-19.

3. Trauner, T. J. (2009). Construction delays: Understanding them clearly, analyzing them correctly. Butterworth-Heinemann.

4. Yusuwan, N. M., & Adnan, H. (2018). Extension of Time Claim Assessment in Malaysian Construction Industry: Views from professionals. Asian Journal of Environment-Behaviour Studies, 3(10), 28-35.

5. Sivaprakasam, Shruthi & Sellakutty, Dinesh & Jayakumar, Jayashree. (2017). A Review on Causes of Delay in Construction Projects. International Journal for Scientific Research & Development, 5. 2321-613.

6. Mollasalehi, S., Fleming, A. J., Talebi, A., & Underwood, J. (2016, July). Development of an experimental waste framework based on BIM/lean concept in construction design. In Proceedings, 24th Annual Conference of the International Group for Lean Construction (IGLC), (pp. 193-202). The International Group for Lean Construction (IGLC).

7. Lukowski j. (2010). Reducing lead times with lean and BIM: improve the quality of output and certainty of success in the field with these project-planning techniques . Journal of lean construction, plumbing and mechanical, 28(5), 058-060.

8. Ohno, T. . (1988). Toyota production system: beyond large-scale production. crc Press.

9. Holweg, M. . (2007). The genealogy of lean production. Journal of operations management, 25(2), 420-437.

10. Koskela, L. (1992). Application of the new production philosophy to construction (Vol. 72). Stanford: Stanford university.

11. Koskela, L., Howell, G., Ballard, G., & Tommelein, I. (2002). The foundations of lean construction. Design and construction: Building in value, 291, 211-226.

12. O. AlSehaimi, A., Tzortzopoulos Fazenda, P., & Koskela, L. (2014). Improving construction management practice with the Last Planner System: a case study. Engineering, Construction and Architectural Management. 21(1), 51-64.

13. Daniel, E. I., Pasquire, C., & Dickens, G. (2015). Exploring the implementation of the Last Planner® System through IGLC community: twenty one years of experience.

14. Priven, V., & Sacks, R. (2016). Impacts of the social subcontract and last planner system interventions on the trade-crew workflows of multistory residential construction projects. Journal of Construction Engineering and Management, 142(7), 04016013.

15. Kim, C. D. (2014). An analysis of the Last Planner® System in a construction project . (Doctoral dissertation, San Diego State University).

16. Verma, A., Angalekar, S. S., & Khandare, M. . (2017). APPLICATION OF LEAN CONSTRUCTION TOOL (LPS) TO IMPROVE LABOUR PRODUCTIVITY AT CONSTRUCTION SITE. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY .

17. Hamzeh, F., Ballard, G., & Tommelein, I. D. (2012). Rethinking Lookahead Planning to Optimize Construction Workflow. Lean Construction Journal.

18. Chang, C. Y., Pan, W., & Howard, R. (2017). Impact of building information modeling implementation on the acceptance of integrated delivery systems: Structural equation modeling analysis. Journal of Construction Engineering and Management, 143(8), 0401704.

19. Azhar, S. (2011). Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and management in engineering, 11(3), 241-252.

20. Cheng, J. C., Won, J., & Das, M. (2015, July). Construction and demolition waste management using BIM technology. In 23rd Ann. Conf. of the International Group for Lean Construction, Perth,Australia , (pp. 381-390).

21. Merschbrock, C., & Munkvold, B. E. (2015). Effective digital collaboration in the construction industry–A case study of BIM deployment in a hospital construction project. Computers in Industry, 73, 1-7.

22. Sacks, R., Koskela, L., Dave, B. A., & Owen, R. (2010). Interaction of lean and building information modeling in construction. Journal of construction engineering and managemen, 136(9), 968-980.

23. Hjalmarsson, E. V. E. L. I. N. A., & Höier, M. A. R. I. A. (2014). Use of BIM in infrastructural projects . (Doctoral dissertation, masters thesis).

24. Arayici, Y., Egbu, C. O., & Coates, S. P. (2012). Building information modelling (BIM) implementation and remote construction projects: issues, challenges, and critiques. Journal of Information Technology in Construction, 17, 75-92.

25. Means, P., & Guggemos, A. (2015). Framework for life cycle assessment (LCA) based environmental decision making during the conceptual design phase for commercial buildings. Procedia engineering, 118, 802-812.

26. Chau, K. W., Anson, M., & Zhang, J. P. (2004). Four-dimensional visualization of construction scheduling and site utilization. Journal of construction engineering and management, 130(4), 598-606.

27. Hartmann, T., Gao, J., & Fischer, M. (2008). Areas of application for 3D and 4D models on construction projects. Journal of Construction Engineering and management, 134(10), 776-785.

28. Akinci, B., Fischer, M., & Kunz, J. (2002). Automated generation of work spaces required by construction activities. Journal of construction engineering and management5., 128(4), 306-31.

29. Golparvar-Fard, M., Peña-Mora, F., Arboleda, C. A., & Lee, S. (2009). Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs. Journal of computing in civil engineering, 23(6), 391-404.

30. Ma, Z., Shen, Q., & Zhang, J. (2005). Application of 4D for dynamic site layout and management of construction projects. Automation in construction, 14(3), 369-381.

31. Chavada, R., Dawood, N., & Kassem, M. (2012). Construction workspace management: the development and application of a novel nD planning approach and tool. Journal of Information Technology in Construction.

32. Bataglin, F. S., Viana, D. D., Formoso, C. T., & Bulhões, I. R. (2017, July). Application of Bim for Supporting Decisionmaking Related to Logistics in Prefabricated Building Systems. In Proceedings of the 25th Annual Conference of the International Group for Lean Construction,Heraklion, Greece, (pp. 4-12).

33. Atef, A., & Bristow, D. (2017). Trends, Benefits and Challenges in Utilizing Building Information Modeling Technology for Building Operation and Maintenance. In CSCE 2017 Conference Proceedings , (p. 7).

34. Wong, K. D., & Fan, Q. (2013). Building information modelling (BIM) for sustainable building design. Facilities, 31(3/4), 138-157.

35. McCuen, T. L. (2015). BIM and cost estimating: A change in the process for determining project costs. Building Information Modeling, 63.

36. Park, J., & Cai, H. (2017). WBS-based dynamic multi-dimensional BIM database for total construction as-built documentation. Automation in Construction, 77, 15-23.

37. Lee, W. L., Tsai, M. H., Yang, C. H., Juang, J. R., & Su, J. Y. (2016). V3DM+: BIM interactive collaboration system for facility management. Visualization in Engineering, 4(1), 5.

38. Hussein, A. I., & Zaid, K. (2016). Using Building Information Modeling (BIM) and the Last Planner System (LPS) to Reduce Construction Process Delay.

39. Dave, B., Boddy, S., & Koskela, L. (2013, August). Challenges and opportunities in implementing lean and BIM on an infrastructure project. In Formoso, CT and Tzortzopoulos, P., 21th Annual Conference of the International Group for Lean Construction, (pp. 31-2). Fortaleza, Brazil .

40. Bhatla, A., & Leite, F. (2012, December). Integration framework of bim with the last planner systemtm. In IGLC 2012-20th Conference of the International Group for Lean Construction.

41. Khan, S., & Tzortzopoulos, P. (2014, June). Effects of the interactions between LPS and BIM on workflow in two building design projects. In In:, Kalsaas, BT, Koskela, L. & Saurin, TA. 22nd Annual Conference of the International Group for Lean Construction (pp. 933-944). Oslo, Norway, 25-27 Jun 2014: IGLC and Akademika forlag.

42. Mahalingam, A., Yadav, A. K., & Varaprasad, J. (2015). Investigating the role of lean practices in enabling BIM adoption: Evidence from two Indian cases. Journal of Construction Engineering and Management, 141(7), 05015006.

43. Sacks, R., Treckmann, M., & Rozenfeld, O. (2009). Visualization of work flow to support lean construction. Journal of construction engineering and management, 135(12), 1307-1315.

44. Burguete, M. G. (2018). Project optimization through the combination of BIM and last planner system . (Doctoral dissertation, Thesis School of Engineering and Science).

45. Schimanski, Christoph & P Monizza, G & Marcher, Carmen & T Matt, D. (2019). Conceptual Foundations for a New Lean BIM-Based Production System in Construction. 10.24928/2019/0106.

46. Guerriero, A., Kubicki, S., Berroir, F., & Lemaire, C. (2017, June). BIM-enhanced collaborative smart technologies for LEAN construction processes. In 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) (pp. 1023-1030). IEEE.