Innovative Construction Procurement Selection Through An Artificial Intelligence Approach

John Andrew Lewis, Henry Odeyinka, Robert Eadie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The construction industry in the British Isles has long been accused of being low tech, averse to funding research and development, and reliant on other sectors allied to construction for innovative improvements. One area has been championed as reflecting change, especially post Latham and Egan, and that is construction procurement. The last few decades have witnessed a proliferation of procurement systems and sub-systems. The methodology herein proposes to customise and innovate bespoke construction project procurement strategies through the development of an intelligent system and to discover if the new procurement methods are indeed innovative. The approach has three main phases; firstly the planning and development phase, followed by the empirical phase and thirdly; the final quasiexperimental phase. After a detailed literature review in the planning stage, the empirical phase includes a pilot survey to ascertain the precise nature of innovation within building procurement in the British Isles and establish an appropriateknowledge acquisition model. This model will be utilised within the main survey to populate a database of relevant innovative procurement case histories. In the final quasi-experimental phase; a fuzzy hierarchical case-based reasoning (CBR) platform will be software engineered as an innovative procurement selection mechanism. This will be validated and verified through a Delphi process to ascertain its effectiveness and appropriateness. The outputted fuzzy hierarchical CBR mechanism will be beneficial to the construction professional seeking innovative procurement selection ideas in the strategy and consultation stages of a building project.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages745-754
Number of pages9
Volume2
Publication statusPublished - 5 Sep 2011
Event27th Annual ARCOM Conference - Bristol, UK.
Duration: 5 Sep 2011 → …

Conference

Conference27th Annual ARCOM Conference
Period5/09/11 → …

Fingerprint

Artificial intelligence
Case based reasoning
Planning
Intelligent systems
Construction industry
Innovation

Keywords

  • artificial intelligence
  • building procurement
  • innovation.

Cite this

Lewis, J. A., Odeyinka, H., & Eadie, R. (2011). Innovative Construction Procurement Selection Through An Artificial Intelligence Approach. In Unknown Host Publication (Vol. 2, pp. 745-754)
Lewis, John Andrew ; Odeyinka, Henry ; Eadie, Robert. / Innovative Construction Procurement Selection Through An Artificial Intelligence Approach. Unknown Host Publication. Vol. 2 2011. pp. 745-754
@inproceedings{6944a7e48b7744af83ae073f1292fa60,
title = "Innovative Construction Procurement Selection Through An Artificial Intelligence Approach",
abstract = "The construction industry in the British Isles has long been accused of being low tech, averse to funding research and development, and reliant on other sectors allied to construction for innovative improvements. One area has been championed as reflecting change, especially post Latham and Egan, and that is construction procurement. The last few decades have witnessed a proliferation of procurement systems and sub-systems. The methodology herein proposes to customise and innovate bespoke construction project procurement strategies through the development of an intelligent system and to discover if the new procurement methods are indeed innovative. The approach has three main phases; firstly the planning and development phase, followed by the empirical phase and thirdly; the final quasiexperimental phase. After a detailed literature review in the planning stage, the empirical phase includes a pilot survey to ascertain the precise nature of innovation within building procurement in the British Isles and establish an appropriateknowledge acquisition model. This model will be utilised within the main survey to populate a database of relevant innovative procurement case histories. In the final quasi-experimental phase; a fuzzy hierarchical case-based reasoning (CBR) platform will be software engineered as an innovative procurement selection mechanism. This will be validated and verified through a Delphi process to ascertain its effectiveness and appropriateness. The outputted fuzzy hierarchical CBR mechanism will be beneficial to the construction professional seeking innovative procurement selection ideas in the strategy and consultation stages of a building project.",
keywords = "artificial intelligence, building procurement, innovation.",
author = "Lewis, {John Andrew} and Henry Odeyinka and Robert Eadie",
note = "Reference text: Aamodt, A. and Plaza, E. (1994), “Case-Based reasoning: Foundational Issues, Methodological Variations and System Approaches”, AI Communications, 7(1), 39-59. Bennett, J. and Grice, T. (1990), “Procurement Systems for Building” in Brandon, P.S. (Ed.)Quantity Surveying Techniques - New Directions, Blackwell Scientific Publications, London, UK. Chartered Institute of Building (2008), Managing the Risk of Delayed Completion in the 21st Century, CIOB, Ascot, UK. Cheung, C. F., Wang, W. M., Lo, V. and Lee, W. B. (2004), “An agent-oriented and knowledge-based system for strategic e-procurement”. Expert Systems, 21(1), 11-21. Egan, J. (1998) Rethinking construction: the report of the Construction Task Force to the Deputy Prime Minister, John Prescott, on the scope for improving the quality and efficiency of UK construction, Department of the Environment, Transport and the Regions Construction Task Force, London, UK. Franks, J. (1990), Building procurement systems: a guide to building project management, CIOB, Ascot, UK. Gann, D. (2000), Building innovation: complex constructs in a changing world, Thomas Telford, London, UK. Gann, D. and Salter, A. (2000), “Innovation in project-based, service-enhanced firms: the construction of complex products and systems”, Research Policy, 29(7-8), 955-972. Gray, C. and Little, J. (1985), “A systematic approach to the selection of an appropriate crane for a construction site”, Construction Management and Economics, 3(2), 121-144. Griffith, A. and Headley, J. (1995), “Developing an effective approach to the procurement and management of small building works within large client organizations”, Engineering,Construction and Architectural Management, 13(4), 279-289. Kim, M. P. and Adams, K. (1989), “An expert system for construction contract claims”, Construction Management and Economics, 7(3), 249-262. Kumaraswamy, M. M. and Dissanayaka, S. M. (1998), “Linking procurement systems to project priorities”, Building Research & Information, 26(4), 223-238. Kruppenbacher, T. A. (1984) “The Application of Artificial Intelligence to Contract Management”, Construction Engineering Research Lab (US Army), Champaign, USA. Latham, M. (1994) Constructing the team: final report of the government/industry review of procurement and contractual arrangements in the UK construction industry, HMSO, London, UK. Love, P., Skitmore, M. and Earl, G. (1998), “Selecting a suitable procurement method for a building project”, Construction Management & Economics, 16(2), 221-233. Luu, D. T., Ng, S. T. and Chen, S. E. (2005), “Formulating Procurement Selection Criteria through Case-Based Reasoning Approach”, Journal of Computing in Civil Engineering, 19(3), 269-281. Luu, D. T., Ng, S. T. and Chen, S. E. (2003), “A case-based procurement advisory system for construction”, Advances in Engineering Software, 34(7), 429-438. Masterman, J. W. E. (2002), An introduction to building procurement systems, 2nd Edition, Taylor & Francis, London, UK. Miller, R, Hobday, M, Leroux-Demers, T and Olleros, X (1995), “Innovation in Complex Systems Industries: the Case of Flight Simulation”, Industrial and Corporate Change, 4(2), 363-400. Mitropoulos, P. and Tatum, C. B. (2000), “Forces Driving Adoption of New Information Technologies”, Journal of Construction Engineering & Management, 126(5), 340- 349. Molenaar, K. R. and Songer, A. D. (1998), “Model for public sector design-build project selection”, Journal of Construction Engineering & Management, 124(6), 467-479. Mosey, D. (2009), Early contractor involvement in building procurement: contracts, partnering and project management,Wiley-Blackwell, Oxford, UK. Nahapiet, H. and Nahapiet, J. (1985), “A comparison of contractual arrangement for building projects”, Construction Management & Economics, 3(3), 217-231. Nam, H. and Tatum, C. (1997), “Leaders and champions for construction innovation”, Construction Management & Economics, 15(3), 259-270. National Economic Development Office (1983), Faster Building for Industry, HMSO, London, UK. National Economic Development Office (1985), Thinking about Building, HMSO, London, UK. National Economic Development Office (1983), Faster Building for Commerce, HMSO, London, UK. Ndekugri, I. and McCaffer, R. (1988), “Management information flow in construction companies”, Construction Management and Economics, 6(4), 273-294. Ng, S. T. (2001), “EQUAL: a case-based contractor pre-qualifier”, Automation in Construction, 10(4), 443-457. Ng, S. T.and Luu, C. D. T. (2008), “Modelling subcontractor registration decisions through case-based reasoning approach”, Automation in Construction, 17(7), 873-881. Perera, R. S. and Watson, I. (1995), “A case-based design approach for the integration of design and estimating”, in Watson, I. (ed.), Progress in case-based reasoning. Lecture notes in artificial intelligence, Springer, Berlin, Germany. Schmitt, G. (1993), “Case-based design and creativity”, Automation in construction, 2, 11-19. Skitmore, R. M. and Marsden, E. (1988), “Which procurement system? Towards a universal procurement selection technique”, Construction Management & Economics, 6(1), 71-89. Love, P. E. D. and Skitmore, R. M. (1995), “Construction project delivery systems: an analysis of selection criteria weighting”, Proceedings ICEC Symposium 'Construction Economics - the Essential Management Tool, Gold Coast, Australia, 295-310. Slaughter, E. S. (1998), “Models of construction innovation”, Journal of Construction Engineering & Management, 124(3), 226-231. Stottler, R. H. (1992), “Case-Based Reasoning for Bid Preparation” AI Expert, 7(33), 44-49. Turoff, M. (1975), The Delphi Method: Techniques and Applications, Harlow: Addison-Wesley, USA. Walker, D. H. T. and Rowlinson, S. M. (2008), Procurement systems: a cross-industry project management perspective, Taylor & Francis, London, UK. Waterman, D. A., Paul, J. and Peterson, M. (1986), “Expert systems for legal decision making”, Expert Systems, 3(4), 212-226. Watson, I. and Perera, S. (1998), “A hierarchical case representation using context guided retrieval”, Knowledge-Based Systems, 11(5-6), 285-292. Winch, G. (1998), “Zephyrs of creative destruction: understanding the management of innovation in construction”, Building Research & Information, 26(5), 268-279. Wolstenholme, A. (2009), Never Waste a Good Crisis, Constructing Excellence, London, UK.",
year = "2011",
month = "9",
day = "5",
language = "English",
volume = "2",
pages = "745--754",
booktitle = "Unknown Host Publication",

}

Lewis, JA, Odeyinka, H & Eadie, R 2011, Innovative Construction Procurement Selection Through An Artificial Intelligence Approach. in Unknown Host Publication. vol. 2, pp. 745-754, 27th Annual ARCOM Conference, 5/09/11.

Innovative Construction Procurement Selection Through An Artificial Intelligence Approach. / Lewis, John Andrew; Odeyinka, Henry; Eadie, Robert.

Unknown Host Publication. Vol. 2 2011. p. 745-754.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Innovative Construction Procurement Selection Through An Artificial Intelligence Approach

AU - Lewis, John Andrew

AU - Odeyinka, Henry

AU - Eadie, Robert

N1 - Reference text: Aamodt, A. and Plaza, E. (1994), “Case-Based reasoning: Foundational Issues, Methodological Variations and System Approaches”, AI Communications, 7(1), 39-59. Bennett, J. and Grice, T. (1990), “Procurement Systems for Building” in Brandon, P.S. (Ed.)Quantity Surveying Techniques - New Directions, Blackwell Scientific Publications, London, UK. Chartered Institute of Building (2008), Managing the Risk of Delayed Completion in the 21st Century, CIOB, Ascot, UK. Cheung, C. F., Wang, W. M., Lo, V. and Lee, W. B. (2004), “An agent-oriented and knowledge-based system for strategic e-procurement”. Expert Systems, 21(1), 11-21. Egan, J. (1998) Rethinking construction: the report of the Construction Task Force to the Deputy Prime Minister, John Prescott, on the scope for improving the quality and efficiency of UK construction, Department of the Environment, Transport and the Regions Construction Task Force, London, UK. Franks, J. (1990), Building procurement systems: a guide to building project management, CIOB, Ascot, UK. Gann, D. (2000), Building innovation: complex constructs in a changing world, Thomas Telford, London, UK. Gann, D. and Salter, A. (2000), “Innovation in project-based, service-enhanced firms: the construction of complex products and systems”, Research Policy, 29(7-8), 955-972. Gray, C. and Little, J. (1985), “A systematic approach to the selection of an appropriate crane for a construction site”, Construction Management and Economics, 3(2), 121-144. Griffith, A. and Headley, J. (1995), “Developing an effective approach to the procurement and management of small building works within large client organizations”, Engineering,Construction and Architectural Management, 13(4), 279-289. Kim, M. P. and Adams, K. (1989), “An expert system for construction contract claims”, Construction Management and Economics, 7(3), 249-262. Kumaraswamy, M. M. and Dissanayaka, S. M. (1998), “Linking procurement systems to project priorities”, Building Research & Information, 26(4), 223-238. Kruppenbacher, T. A. (1984) “The Application of Artificial Intelligence to Contract Management”, Construction Engineering Research Lab (US Army), Champaign, USA. Latham, M. (1994) Constructing the team: final report of the government/industry review of procurement and contractual arrangements in the UK construction industry, HMSO, London, UK. Love, P., Skitmore, M. and Earl, G. (1998), “Selecting a suitable procurement method for a building project”, Construction Management & Economics, 16(2), 221-233. Luu, D. T., Ng, S. T. and Chen, S. E. (2005), “Formulating Procurement Selection Criteria through Case-Based Reasoning Approach”, Journal of Computing in Civil Engineering, 19(3), 269-281. Luu, D. T., Ng, S. T. and Chen, S. E. (2003), “A case-based procurement advisory system for construction”, Advances in Engineering Software, 34(7), 429-438. Masterman, J. W. E. (2002), An introduction to building procurement systems, 2nd Edition, Taylor & Francis, London, UK. Miller, R, Hobday, M, Leroux-Demers, T and Olleros, X (1995), “Innovation in Complex Systems Industries: the Case of Flight Simulation”, Industrial and Corporate Change, 4(2), 363-400. Mitropoulos, P. and Tatum, C. B. (2000), “Forces Driving Adoption of New Information Technologies”, Journal of Construction Engineering & Management, 126(5), 340- 349. Molenaar, K. R. and Songer, A. D. (1998), “Model for public sector design-build project selection”, Journal of Construction Engineering & Management, 124(6), 467-479. Mosey, D. (2009), Early contractor involvement in building procurement: contracts, partnering and project management,Wiley-Blackwell, Oxford, UK. Nahapiet, H. and Nahapiet, J. (1985), “A comparison of contractual arrangement for building projects”, Construction Management & Economics, 3(3), 217-231. Nam, H. and Tatum, C. (1997), “Leaders and champions for construction innovation”, Construction Management & Economics, 15(3), 259-270. National Economic Development Office (1983), Faster Building for Industry, HMSO, London, UK. National Economic Development Office (1985), Thinking about Building, HMSO, London, UK. National Economic Development Office (1983), Faster Building for Commerce, HMSO, London, UK. Ndekugri, I. and McCaffer, R. (1988), “Management information flow in construction companies”, Construction Management and Economics, 6(4), 273-294. Ng, S. T. (2001), “EQUAL: a case-based contractor pre-qualifier”, Automation in Construction, 10(4), 443-457. Ng, S. T.and Luu, C. D. T. (2008), “Modelling subcontractor registration decisions through case-based reasoning approach”, Automation in Construction, 17(7), 873-881. Perera, R. S. and Watson, I. (1995), “A case-based design approach for the integration of design and estimating”, in Watson, I. (ed.), Progress in case-based reasoning. Lecture notes in artificial intelligence, Springer, Berlin, Germany. Schmitt, G. (1993), “Case-based design and creativity”, Automation in construction, 2, 11-19. Skitmore, R. M. and Marsden, E. (1988), “Which procurement system? Towards a universal procurement selection technique”, Construction Management & Economics, 6(1), 71-89. Love, P. E. D. and Skitmore, R. M. (1995), “Construction project delivery systems: an analysis of selection criteria weighting”, Proceedings ICEC Symposium 'Construction Economics - the Essential Management Tool, Gold Coast, Australia, 295-310. Slaughter, E. S. (1998), “Models of construction innovation”, Journal of Construction Engineering & Management, 124(3), 226-231. Stottler, R. H. (1992), “Case-Based Reasoning for Bid Preparation” AI Expert, 7(33), 44-49. Turoff, M. (1975), The Delphi Method: Techniques and Applications, Harlow: Addison-Wesley, USA. Walker, D. H. T. and Rowlinson, S. M. (2008), Procurement systems: a cross-industry project management perspective, Taylor & Francis, London, UK. Waterman, D. A., Paul, J. and Peterson, M. (1986), “Expert systems for legal decision making”, Expert Systems, 3(4), 212-226. Watson, I. and Perera, S. (1998), “A hierarchical case representation using context guided retrieval”, Knowledge-Based Systems, 11(5-6), 285-292. Winch, G. (1998), “Zephyrs of creative destruction: understanding the management of innovation in construction”, Building Research & Information, 26(5), 268-279. Wolstenholme, A. (2009), Never Waste a Good Crisis, Constructing Excellence, London, UK.

PY - 2011/9/5

Y1 - 2011/9/5

N2 - The construction industry in the British Isles has long been accused of being low tech, averse to funding research and development, and reliant on other sectors allied to construction for innovative improvements. One area has been championed as reflecting change, especially post Latham and Egan, and that is construction procurement. The last few decades have witnessed a proliferation of procurement systems and sub-systems. The methodology herein proposes to customise and innovate bespoke construction project procurement strategies through the development of an intelligent system and to discover if the new procurement methods are indeed innovative. The approach has three main phases; firstly the planning and development phase, followed by the empirical phase and thirdly; the final quasiexperimental phase. After a detailed literature review in the planning stage, the empirical phase includes a pilot survey to ascertain the precise nature of innovation within building procurement in the British Isles and establish an appropriateknowledge acquisition model. This model will be utilised within the main survey to populate a database of relevant innovative procurement case histories. In the final quasi-experimental phase; a fuzzy hierarchical case-based reasoning (CBR) platform will be software engineered as an innovative procurement selection mechanism. This will be validated and verified through a Delphi process to ascertain its effectiveness and appropriateness. The outputted fuzzy hierarchical CBR mechanism will be beneficial to the construction professional seeking innovative procurement selection ideas in the strategy and consultation stages of a building project.

AB - The construction industry in the British Isles has long been accused of being low tech, averse to funding research and development, and reliant on other sectors allied to construction for innovative improvements. One area has been championed as reflecting change, especially post Latham and Egan, and that is construction procurement. The last few decades have witnessed a proliferation of procurement systems and sub-systems. The methodology herein proposes to customise and innovate bespoke construction project procurement strategies through the development of an intelligent system and to discover if the new procurement methods are indeed innovative. The approach has three main phases; firstly the planning and development phase, followed by the empirical phase and thirdly; the final quasiexperimental phase. After a detailed literature review in the planning stage, the empirical phase includes a pilot survey to ascertain the precise nature of innovation within building procurement in the British Isles and establish an appropriateknowledge acquisition model. This model will be utilised within the main survey to populate a database of relevant innovative procurement case histories. In the final quasi-experimental phase; a fuzzy hierarchical case-based reasoning (CBR) platform will be software engineered as an innovative procurement selection mechanism. This will be validated and verified through a Delphi process to ascertain its effectiveness and appropriateness. The outputted fuzzy hierarchical CBR mechanism will be beneficial to the construction professional seeking innovative procurement selection ideas in the strategy and consultation stages of a building project.

KW - artificial intelligence

KW - building procurement

KW - innovation.

M3 - Conference contribution

VL - 2

SP - 745

EP - 754

BT - Unknown Host Publication

ER -

Lewis JA, Odeyinka H, Eadie R. Innovative Construction Procurement Selection Through An Artificial Intelligence Approach. In Unknown Host Publication. Vol. 2. 2011. p. 745-754