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Studying the Interrelationship amongst Various Lean Metrics to Construction Industry Through ISM Methodology

by Arnav Jain, Remica Aggarwal, Veena Aggarwal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 47
Year of Publication: 2019
Authors: Arnav Jain, Remica Aggarwal, Veena Aggarwal
10.5120/ijca2019918632

Arnav Jain, Remica Aggarwal, Veena Aggarwal . Studying the Interrelationship amongst Various Lean Metrics to Construction Industry Through ISM Methodology. International Journal of Computer Applications. 181, 47 ( Apr 2019), 18-26. DOI=10.5120/ijca2019918632

@article{ 10.5120/ijca2019918632,
author = { Arnav Jain, Remica Aggarwal, Veena Aggarwal },
title = { Studying the Interrelationship amongst Various Lean Metrics to Construction Industry Through ISM Methodology },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2019 },
volume = { 181 },
number = { 47 },
month = { Apr },
year = { 2019 },
issn = { 0975-8887 },
pages = { 18-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number47/30469-2019918632/ },
doi = { 10.5120/ijca2019918632 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:09:21.303781+05:30
%A Arnav Jain
%A Remica Aggarwal
%A Veena Aggarwal
%T Studying the Interrelationship amongst Various Lean Metrics to Construction Industry Through ISM Methodology
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 47
%P 18-26
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Construction industry is the second largest sector in India. Due to its wide socio economic status, it has been a major area of research as well. Construction industry is known for heavy wastes during production, construction planning, administration etc. Lean is often characterized by minimization of waste. Present paper aims to explore the various lean metrics which helps to reduce wastages in construction thereby improving work quality in the product development process. It further studies the interrelationship amongst them using ISM methodology.

References
  1. Ansah, R.H. , Sorooshian, S. & Mustafa, S.B. 2016. Lean Construction: An Effective Approach Forproject Management, 11(3), ISSN 1819-6608 ARPN Journal of Engineering and Applied Sciences
  2. Pasqualini, F. & Zawislak, P. (2005) Value Stream Mapping in Construction: A Case Study in a Brazilian Construction Company. The 13th International Group for Lean Construction Conference: Proceedings. Sydney, Australia.
  3. Suttie, J. 2013. The impacts and effects of Integrated Project Delivery on participating organization with a focus on organization culture. The 21st International Group of Lean Construction. Fortaleza, Brazil.
  4. Ballard, G. & Howell, G. 2003. An Update on Last Planner. The 11th Annual Conference of the International Group for Lean Construction. Virginia, USA.
  5. Koskela, L. 1997. Lean production in construction. Lean Construction, 1-9.
  6. Ballard, G. 2008. The lean project delivery system: An update. Lean Construction Journal, 1-19.
  7. Knotten, V. & Svalestuen, F. 2014. Implementing Virtual Design and Construction (VDC) in Veidekke – Using Simple Metrics to Improve the Design Management Process. The 22nd Annual Conference of the International Group for Lean Construction. Oslo, Norway.
  8. Azambuja, M., Schnitzer, T., Sahin, M. & Lee, F. 2013 Enabling Lean Supply with a Cloud Computing Platform - An Exploratory Case Study. The 21st Annual Conference of the International Group for Lean Construction. Fortaleza, Brazil.
  9. Specification for information management for the capital/delivery phase of construction projects using building information modelling. PAS 1192-2:2013.
  10. Danilevsky, M., Wang, C., Desai, N., Ren, X., Guo, J. & Han, J. 2014. Automatic Construction and Ranking of Topical Key phrases on Collections of Short Documents.
  11. Maisuria, A. & Rathod, H. (2013) GIS and its Application in Construction Industry. The International Journal of Advanced Research in Engineering, Science & management.
  12. Simonsson, P. & Carlsward, J. (2005) Evaluation of a GPS Support System for Fleet Management Control. The 13th Annual Conference of the International Group for Lean Construction. Sydney, Australia.
  13. Brilakis, I., Cordova, F. & Clark, P. 2008. Automated 3D Vision Tracking for Project Control Support. The 15th EG-ICE International Workshop. Plymouth, UK.
  14. Chin, C. 2010 RFI Responsiveness of Paper-Based vs. Web-Based Information Processing Systems. The 18th Annual Conference of the International Group for Lean Construction. Haifa, Israel.
  15. Powell, D., Strandhagen, J. O., Tommelein, I., Ballard, G., & Rossi, M. 2014. A New Set of Principles for Pursuing the Lean Ideal in Engineer-to-order Manufacturers. Procedia CIRP, 17(0), 571-576. doi: http://dx.doi.org/10.1016/j.procir.2014.01.137
  16. Cheung, S. O., Wong, P. S. P., & Wu, A. W. Y. 2011. Towards an organizational culture framework in construction. International Journal of Project Management, 29(1), 33-44. doi: http://dx.doi.org/10.1016/j.ijproman.2010.01.014
  17. Bakås, O., Govaert, T., & Van Landeghem, H. (2011). Challenges and success factors for implementation of lean manufacturing in european SMES. Paper presented at the 13th International conference on the Modern Information Technology in the Innovation Processes of the Industrial Enterprise (MITIP 2011).
  18. Bassioni, H. A., Price, A. D. F., & Hassan, T. M. (2005). Building a conceptual framework for measuring business performance in construction: an empirical evaluation. Construction Management and Economics, 23(5), 495-507. doi: 10.1080/0144619042000301401.
  19. Kagioglou, M., Cooper, R. and Aouad, G. 2001. Performance management in construction: a conceptual framework. Construction Management and Economics, 19(1), 85-95.
  20. Cox, R. F., Issa, R. R., & Ahrens, D. 2003. Management's perception of key performance indicators for construction. Journal of construction engineering and management, 129(2), 142-151.
  21. Horta, I., Camanho, A.S., Costa, J.M., 2010. Performance assessment of construction companies integrating key performance indicators and data envelopment analysis. J. Constr. Eng. Manage. 136 (5), 581–594.
  22. Chan, A. P., & Chan, A. P. 2004. Key performance indicators for measuring construction success. Benchmarking: an international journal, 11(2), 203-221.
  23. Bassioni, H., Hassan, T., & Price, A. (2008). Evaluation and analysis of criteria and sub-criteria of a construction excellence model. Engineering, Construction and Architectural Management, 15(1), 21-41.
  24. Yeung, J. F. Y., Chan, A. P. C. and Chan, D. W. M. 2009. A computerized model for measuring and benchmarking the partnering performance of construction projects. Automation in Construction, 18(8), 1099-1113. doi: 10.1016/j.autcon.2009.07.003
  25. Ng, S. T., Tang, Z., & Palaneeswaran, E. 2009. Factors contributing to the success of equipment-intensive subcontractors in construction. International Journal of Project Management, 27(7), 736-744. doi: 10.1016/j.ijproman.2008.09.006
  26. Radujkovic, M., Vukomanovic, M., & Dunovic, I. B. 2010. Application of key performance indicators in South-Eastern European construction. Journal of Civil Engineering andManagement, 16(4), 521-530. doi: 10.3846/jcem.2010.58
  27. Al-Tmeemy, S. M. H. M., Abdul-Rahman, H., & Harun, Z. 2011. Future criteria for success of building projects in Malaysia. International Journal of Project Management, 29(3), 337-348. doi: 10.1016/j.ijproman.2010.03.003
  28. Gudiene, N., Banaitis, A., & Banaitiene, N. 2013. Evaluation of critical success factors for construction projects - an empirical study in Lithuania. International Journal of Strategic Property Management, 17(1), 21-31. doi: 10.3846/1648715x.2013.787128
  29. Hoseini, E. 2015. Project planning in the Norwegian construction industry. (Master in Project Management), Norges Teknisk-Naturvitenskapelige Universitet, NTNU, Trondheim.
  30. Kristensen, K. H., Andersen, B. and Torp, O. 2013. Performance measurement in the building design process: a tool for building design managers. Journal of Design Research, 11(2), 148-167.
  31. Alzahrani, J. I., & Emsley, M. W. 2013. The impact of contractors' attributes on construction project success: A post construction evaluation. International Journal of Project Management, 31(2), 313-322. doi: 10.1016/j.ijproman.2012.06.006
  32. Vimal, K., & Vinodh, S. 2012. Leanness evaluation using IF–THEN rules. The International Journal of Advanced Manufacturing Technology, 63(1-4), 407-413.
  33. Vinodh, S., & Balaji, S. 2011. Fuzzy logic based leanness assessment and its decision support system. International Journal of Production Research, 49(13), 4027-4041.
  34. Wan, H.-d., & Frank Chen, F. 2008. A leanness measure of manufacturing systems for quantifying impacts of lean initiatives. International Journal of Production Research, 46(23), 6567-6584.
  35. Ballard, G., & Howell, G. 1997. Implementing lean construction: improving downstream performance. Lean Construction, 111-125.
  36. Beatham, S., Chimay, A., Tony, T., & Ian, H. (2005). An integrated business improvement system (IBIS) for construction. Measuring Business Excellence, 9(2), 42-55. doi: 10.1108/13683040510602876
  37. Robinson, H. S., Anumba, C. J., Carrillo, P. M., & Al-Ghassani, A. M. (2005). Business performance measurement practices in construction engineering organisations. Measuring Business Excellence, 9(1), 13-22.
  38. Andersen, B., Belay, A. M., & Seim, E. A. 2012. Lean Construction Practices and its Effects: A Case Study at St Olav’s Integrated Hospital, Norway. Lean Construction Journal, 122-149.
  39. Limon, D.H. 2015. Measuring Lean Construction: A Performance Measurement model supporting the implementation of Lean practices in the Norwegian construction industry, Project management thesis, Department of Production and Quality Engineering , Norwegian University of Science and Technology.
  40. Warfield, J.N. 1974. Developing interconnection matrices in structural modeling. IEEE Transactions on Systems, Man, and Cybernetics, (1), 81-87.
  41. Khanzode, A., Fischer, M., Reed, D., & Ballard, G. 2006. A guide to applying the principles of virtual design & construction (VDC) to the lean project delivery process. CIFE, Stanford University, Palo Alto, CA.
  42. Raid, A. (2012). A lean construction framework with Six Sigma rating. International Journal of Lean Six Sigma, 3(4), 299-314. doi: 10.1108/20401461211284761
Index Terms

Computer Science
Information Sciences

Keywords

ISM methodology construction industry lean metrics wastages in construction

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