Product-cost modelling approach for the development of a decision support system for optimal roofing material selection

Sazzadur Rahman; Henry Odeyinka; Srinath Perera; Yaxin Bi

doi:10.1016/j.eswa.2012.01.010

Product-cost modelling approach for the development of a decision support system for optimal roofing material selection

Sazzadur Rahman, Henry Odeyinka, Srinath Perera, Yaxin Bi

Research output: Contribution to journal › Article › peer-review

46 Citations (Scopus)

Abstract

Selection of optimal roofing materials is very important but it is a complex and onerous task as varieties of materials are available for housing roof construction. In order to select suitable materials, an extensive range of criteria would need to be considered. This paper presents the framework and the development of a knowledge-based decision support system for material selection implemented in roofing material selection domain, called ‘Knowledge-based Decision Support system for roofing Material Selection and cost estimating’ (KDSMS). It was developed to facilitate the selection of optimal materials for different roof sub elements. The system consists of a database and knowledge base that is equipped with an inference engine. The former is used to store different types of roofing materials with assigned attribute values.The later is used to hold qualitative and quantitative knowledge which were collected from domain experts and other technical literatures such as building regulations, price guide book and product catalogues. The proposed system employs the TOPSIS (Technique of ranking Preferences by Similarity to the Ideal Solution) multiple criteria decision making method to solve materials selection and optimisation problem. This study utilised the available roofing materials in the UK housing market in developing the system reported. The main contribution of the developed system is that it provides a tool for the architects, quantity surveyors or self house builder to select optimal materials from a wide array of possibilities for different roof sub elements and also to estimate the conceptual cost for the roof element in the early stage of building design.

Original language	English
Pages (from-to)	6857-6871
Journal	Expert Systems with Applications
Volume	39
DOIs	https://doi.org/10.1016/j.eswa.2012.01.010
Publication status	Published (in print/issue) - 1 Feb 2012

Bibliographical note

Reference text: Anderson, J., Shiers, D., & Steele, K. (2009). The green guide to specification: An
environmental profiling system for building materials and components. (4th
ed.). UK: Building Research Establishment.
Ashby, M. F., Brechet, Y. J. M., Cebon, D., & Salvo, L. (2004). Selection strategies for
materials and process. Materials and Design, 25(1), 51–67.
Bullinger, H. J., Warschat, J., & Fischer, D. (1991). Knowledge-based system for
material selection for design with new materials. Knowledge-Based Systems,
4(2), 95–102.
Chan, J. W. K., & Tong, T. K. L. (2007). Multi-criteria material selections and end-oflife
product strategy: Grey relational analysis approach. Materials and Design,
28(5), 1539–1546.
Chen, J. L., Sun, S. H., & Hwang, W. C. (1995). An intelligent data base system for
composite material selection in structural design. Engineering Fracture
Mechanics, 50(5/6), 935–946.
Marley Eternit. Roofing. (2010). http://www.marleyeternit.co.uk/ Accessed
17.05.2010.
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making- methods and
applications: A state-of-the-art survey. Berlin: Springer-Verlag.
Hymers, P. (2006). Converting to an Eco-friendly Home: The Complete Handbook.
London: New Holland.
Karolides, A. (2006). Green building approaches. In RSMeans (Eds.), Green Building
(2nd ed.). USA: Reed Construction Data Inc. (pp. 1–25).
Kingspan. (2010). Products. http://www.insulation.kingspan.com/uk/literature.htm
Accessed 17.05.2010.
Knauf (2010). Roof Insulation. http://www.knaufinsulation.co.uk/Default.aspx?
page=2006 Accessed 17.05.2010.
Krope, J., & Goricanec, D. (2009). Energy efficiency and thermal envelope. In D.
Mumovic & M. Santamouris (Eds.), A handbook of sustainable building design and
engineering. London: Earthscan.
Langdon, D. (2010). Spon’s architects’ and builders’ price book (135th ed.). UK: Spon
Press.
LBS. (2010). Roofing. [online] Available from http://www.lbsproducts.com/
Accessed 17.05.2010.
Mahmoud, M. A. A., Aref, M., & Al-Hammad (1996). An expert system for evaluation
and selection of floor finishing materials. Expert Systems with Applications, 10(2),
281–303.
Mohamed, A., & Celik, T. (1998). An integrated knowledge-based system for
alternative design and materials selection and cost estimating. Expert Systems
with Applications, 14(3), 329–339.
Northstone. (2010). Northstone Materials. http://www.northstone-ni.com/aboutus/
products-and-services/ Accessed 17.05.2010.
Papadopoulos, A. M., & Giama, E. (2007). Environmental performance evaluation of
thermal insulation materials and its impact on the building. Building and
Environment, 42(5), 2178–2187.
Part F. (2008). Conservation of fuel and power. Building Regulations (Northern
Ireland) Amendments to Technical Booklets F1 (2006) and F2 (2006).
Perera, R. S., & Fernando, U. L. A. S. B. (2002). Cost modelling for roofing material
selection. Built Environment: Srilanka, 3(1), 11–24.
Rahman S., Perera, S., Odeyinka, H., & Bi, Y. (2008). A conceptual knowledge-based
cost model for optimizing the selection of material and technology for building
design. In 24th Annual ARCOM conference proceedings (pp. 217–225).
Rahman S., Perera, S., Odeyinka, H., & Bi, Y. (2009a). A knowledge-based decision
support system for roofing materials selection and cost estimating: A
conceptual framework and data modelling. In 25th Annual ARCOM conference
proceedings (pp. 1081–1190).
Rahman S., Perera, S., Odeyinka, H., & Bi, Y. (2009b). A knowledge-based decision
support system for roofing materials selection. In RICS COBRA research
conference proceedings (pp. 1753–1762).
Redland. (2010). Product catalogue. http://www.monier.co.uk/products/productcatalogue.
html Accessed 17.05.2010].
Roaf, S., Fuentes, M., & Thomas, S. (2007). Ecohouse: A design guide. Oxford:
Architectural Press.
Shanian, A., & Savadogo, O. (2006). TOPSIS multiple-criteria decision support
analysis for material selection of metallic bipolar plates for polymer electrolyte
fuel cell. Journal of Power Sources, 159(2), 1095–1104.
Soronis, G. (1992). An approach to the selection of roofing materials for durability.
Construction and Building Materials, 6(1), 9–14.
UNEP. (2001). Energy and Cities: Sustainable Building and Construction. IETC Side
Event at United Nations Environment Programme Governing Council, 6
February 2001, Nairobi, Kenya. http://www.unep.or.jp/ietc/focus/Energy
Cities1.asp Accessed 17.05.2010.
Velux. (2010). Roofs windows. http://www.velux.co.uk/Private/Products/
velux_Roof_Windows/default.aspx Accessed 17.05.2010.
Wilson, A., Uncapher, J. L., McManigal, L., Lovins, L. H., Cureton, M., & Browning, W.
D. (1998). Green development: Integrating ecology and real estate. New York: John
Wiley & Sons Inc..
Wong, J. K. W., & Li, H. (2008). Application of the analytic hierarchy process (AHP) in
multi-criteria analysis of the selection of intelligent building systems. Building
and Environment, 43(1), 108–125.
Woolley, T. (2006). Natural building: A guide to materials and techniques.
Marlborough: The Crowood Press.
Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. Advanced
Manufacturing Technology, 28(78), 839–844.
Zhou, Q., Huang, G. H., & Chan, C. W. (2004). Development of an intelligent decision
support system for air pollution control at coal-fired power plants. Expert
Systems with Applications, 26(3), 335–356.

Keywords

TOPSIS
Knowledge-based system
Decision support system
Roofing material selection
Energy efficient building
Product-cost modelling

Access to Document

10.1016/j.eswa.2012.01.010

Cite this

@article{a1c64c5d40ba40a391f0a8123129fe0a,

title = "Product-cost modelling approach for the development of a decision support system for optimal roofing material selection",

abstract = "Selection of optimal roofing materials is very important but it is a complex and onerous task as varieties of materials are available for housing roof construction. In order to select suitable materials, an extensive range of criteria would need to be considered. This paper presents the framework and the development of a knowledge-based decision support system for material selection implemented in roofing material selection domain, called {\textquoteleft}Knowledge-based Decision Support system for roofing Material Selection and cost estimating{\textquoteright} (KDSMS). It was developed to facilitate the selection of optimal materials for different roof sub elements. The system consists of a database and knowledge base that is equipped with an inference engine. The former is used to store different types of roofing materials with assigned attribute values.The later is used to hold qualitative and quantitative knowledge which were collected from domain experts and other technical literatures such as building regulations, price guide book and product catalogues. The proposed system employs the TOPSIS (Technique of ranking Preferences by Similarity to the Ideal Solution) multiple criteria decision making method to solve materials selection and optimisation problem. This study utilised the available roofing materials in the UK housing market in developing the system reported. The main contribution of the developed system is that it provides a tool for the architects, quantity surveyors or self house builder to select optimal materials from a wide array of possibilities for different roof sub elements and also to estimate the conceptual cost for the roof element in the early stage of building design.",

keywords = "TOPSIS, Knowledge-based system, Decision support system, Roofing material selection, Energy efficient building, Product-cost modelling",

author = "Sazzadur Rahman and Henry Odeyinka and Srinath Perera and Yaxin Bi",

note = "Reference text: Anderson, J., Shiers, D., & Steele, K. (2009). The green guide to specification: An environmental profiling system for building materials and components. (4th ed.). UK: Building Research Establishment. Ashby, M. F., Brechet, Y. J. M., Cebon, D., & Salvo, L. (2004). Selection strategies for materials and process. Materials and Design, 25(1), 51–67. Bullinger, H. J., Warschat, J., & Fischer, D. (1991). Knowledge-based system for material selection for design with new materials. Knowledge-Based Systems, 4(2), 95–102. Chan, J. W. K., & Tong, T. K. L. (2007). Multi-criteria material selections and end-oflife product strategy: Grey relational analysis approach. Materials and Design, 28(5), 1539–1546. Chen, J. L., Sun, S. H., & Hwang, W. C. (1995). An intelligent data base system for composite material selection in structural design. Engineering Fracture Mechanics, 50(5/6), 935–946. Marley Eternit. Roofing. (2010). http://www.marleyeternit.co.uk/ Accessed 17.05.2010. Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making- methods and applications: A state-of-the-art survey. Berlin: Springer-Verlag. Hymers, P. (2006). Converting to an Eco-friendly Home: The Complete Handbook. London: New Holland. Karolides, A. (2006). Green building approaches. In RSMeans (Eds.), Green Building (2nd ed.). USA: Reed Construction Data Inc. (pp. 1–25). Kingspan. (2010). Products. http://www.insulation.kingspan.com/uk/literature.htm Accessed 17.05.2010. Knauf (2010). Roof Insulation. http://www.knaufinsulation.co.uk/Default.aspx? page=2006 Accessed 17.05.2010. Krope, J., & Goricanec, D. (2009). Energy efficiency and thermal envelope. In D. Mumovic & M. Santamouris (Eds.), A handbook of sustainable building design and engineering. London: Earthscan. Langdon, D. (2010). Spon{\textquoteright}s architects{\textquoteright} and builders{\textquoteright} price book (135th ed.). UK: Spon Press. LBS. (2010). Roofing. [online] Available from http://www.lbsproducts.com/ Accessed 17.05.2010. Mahmoud, M. A. A., Aref, M., & Al-Hammad (1996). An expert system for evaluation and selection of floor finishing materials. Expert Systems with Applications, 10(2), 281–303. Mohamed, A., & Celik, T. (1998). An integrated knowledge-based system for alternative design and materials selection and cost estimating. Expert Systems with Applications, 14(3), 329–339. Northstone. (2010). Northstone Materials. http://www.northstone-ni.com/aboutus/ products-and-services/ Accessed 17.05.2010. Papadopoulos, A. M., & Giama, E. (2007). Environmental performance evaluation of thermal insulation materials and its impact on the building. Building and Environment, 42(5), 2178–2187. Part F. (2008). Conservation of fuel and power. Building Regulations (Northern Ireland) Amendments to Technical Booklets F1 (2006) and F2 (2006). Perera, R. S., & Fernando, U. L. A. S. B. (2002). Cost modelling for roofing material selection. Built Environment: Srilanka, 3(1), 11–24. Rahman S., Perera, S., Odeyinka, H., & Bi, Y. (2008). A conceptual knowledge-based cost model for optimizing the selection of material and technology for building design. In 24th Annual ARCOM conference proceedings (pp. 217–225). Rahman S., Perera, S., Odeyinka, H., & Bi, Y. (2009a). A knowledge-based decision support system for roofing materials selection and cost estimating: A conceptual framework and data modelling. In 25th Annual ARCOM conference proceedings (pp. 1081–1190). Rahman S., Perera, S., Odeyinka, H., & Bi, Y. (2009b). A knowledge-based decision support system for roofing materials selection. In RICS COBRA research conference proceedings (pp. 1753–1762). Redland. (2010). Product catalogue. http://www.monier.co.uk/products/productcatalogue. html Accessed 17.05.2010]. Roaf, S., Fuentes, M., & Thomas, S. (2007). Ecohouse: A design guide. Oxford: Architectural Press. Shanian, A., & Savadogo, O. (2006). TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. Journal of Power Sources, 159(2), 1095–1104. Soronis, G. (1992). An approach to the selection of roofing materials for durability. Construction and Building Materials, 6(1), 9–14. UNEP. (2001). Energy and Cities: Sustainable Building and Construction. IETC Side Event at United Nations Environment Programme Governing Council, 6 February 2001, Nairobi, Kenya. http://www.unep.or.jp/ietc/focus/Energy Cities1.asp Accessed 17.05.2010. Velux. (2010). Roofs windows. http://www.velux.co.uk/Private/Products/ velux_Roof_Windows/default.aspx Accessed 17.05.2010. Wilson, A., Uncapher, J. L., McManigal, L., Lovins, L. H., Cureton, M., & Browning, W. D. (1998). Green development: Integrating ecology and real estate. New York: John Wiley & Sons Inc.. Wong, J. K. W., & Li, H. (2008). Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems. Building and Environment, 43(1), 108–125. Woolley, T. (2006). Natural building: A guide to materials and techniques. Marlborough: The Crowood Press. Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. Advanced Manufacturing Technology, 28(78), 839–844. Zhou, Q., Huang, G. H., & Chan, C. W. (2004). Development of an intelligent decision support system for air pollution control at coal-fired power plants. Expert Systems with Applications, 26(3), 335–356.",

year = "2012",

month = feb,

day = "1",

doi = "10.1016/j.eswa.2012.01.010",

language = "English",

volume = "39",

pages = "6857--6871",

journal = "Expert Systems with Applications",

issn = "0957-4174",

publisher = "Elsevier",

}

TY - JOUR

T1 - Product-cost modelling approach for the development of a decision support system for optimal roofing material selection

AU - Rahman, Sazzadur

AU - Odeyinka, Henry

AU - Perera, Srinath

AU - Bi, Yaxin

N1 - Reference text: Anderson, J., Shiers, D., & Steele, K. (2009). The green guide to specification: An environmental profiling system for building materials and components. (4th ed.). UK: Building Research Establishment. Ashby, M. F., Brechet, Y. J. M., Cebon, D., & Salvo, L. (2004). Selection strategies for materials and process. Materials and Design, 25(1), 51–67. Bullinger, H. J., Warschat, J., & Fischer, D. (1991). Knowledge-based system for material selection for design with new materials. Knowledge-Based Systems, 4(2), 95–102. Chan, J. W. K., & Tong, T. K. L. (2007). Multi-criteria material selections and end-oflife product strategy: Grey relational analysis approach. Materials and Design, 28(5), 1539–1546. Chen, J. L., Sun, S. H., & Hwang, W. C. (1995). An intelligent data base system for composite material selection in structural design. Engineering Fracture Mechanics, 50(5/6), 935–946. Marley Eternit. Roofing. (2010). http://www.marleyeternit.co.uk/ Accessed 17.05.2010. Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making- methods and applications: A state-of-the-art survey. Berlin: Springer-Verlag. Hymers, P. (2006). Converting to an Eco-friendly Home: The Complete Handbook. London: New Holland. Karolides, A. (2006). Green building approaches. In RSMeans (Eds.), Green Building (2nd ed.). USA: Reed Construction Data Inc. (pp. 1–25). Kingspan. (2010). Products. http://www.insulation.kingspan.com/uk/literature.htm Accessed 17.05.2010. Knauf (2010). Roof Insulation. http://www.knaufinsulation.co.uk/Default.aspx? page=2006 Accessed 17.05.2010. Krope, J., & Goricanec, D. (2009). Energy efficiency and thermal envelope. In D. Mumovic & M. Santamouris (Eds.), A handbook of sustainable building design and engineering. London: Earthscan. Langdon, D. (2010). Spon’s architects’ and builders’ price book (135th ed.). UK: Spon Press. LBS. (2010). Roofing. [online] Available from http://www.lbsproducts.com/ Accessed 17.05.2010. Mahmoud, M. A. A., Aref, M., & Al-Hammad (1996). An expert system for evaluation and selection of floor finishing materials. Expert Systems with Applications, 10(2), 281–303. Mohamed, A., & Celik, T. (1998). An integrated knowledge-based system for alternative design and materials selection and cost estimating. Expert Systems with Applications, 14(3), 329–339. Northstone. (2010). Northstone Materials. http://www.northstone-ni.com/aboutus/ products-and-services/ Accessed 17.05.2010. Papadopoulos, A. M., & Giama, E. (2007). Environmental performance evaluation of thermal insulation materials and its impact on the building. Building and Environment, 42(5), 2178–2187. Part F. (2008). Conservation of fuel and power. Building Regulations (Northern Ireland) Amendments to Technical Booklets F1 (2006) and F2 (2006). Perera, R. S., & Fernando, U. L. A. S. B. (2002). Cost modelling for roofing material selection. Built Environment: Srilanka, 3(1), 11–24. Rahman S., Perera, S., Odeyinka, H., & Bi, Y. (2008). A conceptual knowledge-based cost model for optimizing the selection of material and technology for building design. In 24th Annual ARCOM conference proceedings (pp. 217–225). Rahman S., Perera, S., Odeyinka, H., & Bi, Y. (2009a). A knowledge-based decision support system for roofing materials selection and cost estimating: A conceptual framework and data modelling. In 25th Annual ARCOM conference proceedings (pp. 1081–1190). Rahman S., Perera, S., Odeyinka, H., & Bi, Y. (2009b). A knowledge-based decision support system for roofing materials selection. In RICS COBRA research conference proceedings (pp. 1753–1762). Redland. (2010). Product catalogue. http://www.monier.co.uk/products/productcatalogue. html Accessed 17.05.2010]. Roaf, S., Fuentes, M., & Thomas, S. (2007). Ecohouse: A design guide. Oxford: Architectural Press. Shanian, A., & Savadogo, O. (2006). TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. Journal of Power Sources, 159(2), 1095–1104. Soronis, G. (1992). An approach to the selection of roofing materials for durability. Construction and Building Materials, 6(1), 9–14. UNEP. (2001). Energy and Cities: Sustainable Building and Construction. IETC Side Event at United Nations Environment Programme Governing Council, 6 February 2001, Nairobi, Kenya. http://www.unep.or.jp/ietc/focus/Energy Cities1.asp Accessed 17.05.2010. Velux. (2010). Roofs windows. http://www.velux.co.uk/Private/Products/ velux_Roof_Windows/default.aspx Accessed 17.05.2010. Wilson, A., Uncapher, J. L., McManigal, L., Lovins, L. H., Cureton, M., & Browning, W. D. (1998). Green development: Integrating ecology and real estate. New York: John Wiley & Sons Inc.. Wong, J. K. W., & Li, H. (2008). Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems. Building and Environment, 43(1), 108–125. Woolley, T. (2006). Natural building: A guide to materials and techniques. Marlborough: The Crowood Press. Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. Advanced Manufacturing Technology, 28(78), 839–844. Zhou, Q., Huang, G. H., & Chan, C. W. (2004). Development of an intelligent decision support system for air pollution control at coal-fired power plants. Expert Systems with Applications, 26(3), 335–356.

PY - 2012/2/1

Y1 - 2012/2/1

N2 - Selection of optimal roofing materials is very important but it is a complex and onerous task as varieties of materials are available for housing roof construction. In order to select suitable materials, an extensive range of criteria would need to be considered. This paper presents the framework and the development of a knowledge-based decision support system for material selection implemented in roofing material selection domain, called ‘Knowledge-based Decision Support system for roofing Material Selection and cost estimating’ (KDSMS). It was developed to facilitate the selection of optimal materials for different roof sub elements. The system consists of a database and knowledge base that is equipped with an inference engine. The former is used to store different types of roofing materials with assigned attribute values.The later is used to hold qualitative and quantitative knowledge which were collected from domain experts and other technical literatures such as building regulations, price guide book and product catalogues. The proposed system employs the TOPSIS (Technique of ranking Preferences by Similarity to the Ideal Solution) multiple criteria decision making method to solve materials selection and optimisation problem. This study utilised the available roofing materials in the UK housing market in developing the system reported. The main contribution of the developed system is that it provides a tool for the architects, quantity surveyors or self house builder to select optimal materials from a wide array of possibilities for different roof sub elements and also to estimate the conceptual cost for the roof element in the early stage of building design.

AB - Selection of optimal roofing materials is very important but it is a complex and onerous task as varieties of materials are available for housing roof construction. In order to select suitable materials, an extensive range of criteria would need to be considered. This paper presents the framework and the development of a knowledge-based decision support system for material selection implemented in roofing material selection domain, called ‘Knowledge-based Decision Support system for roofing Material Selection and cost estimating’ (KDSMS). It was developed to facilitate the selection of optimal materials for different roof sub elements. The system consists of a database and knowledge base that is equipped with an inference engine. The former is used to store different types of roofing materials with assigned attribute values.The later is used to hold qualitative and quantitative knowledge which were collected from domain experts and other technical literatures such as building regulations, price guide book and product catalogues. The proposed system employs the TOPSIS (Technique of ranking Preferences by Similarity to the Ideal Solution) multiple criteria decision making method to solve materials selection and optimisation problem. This study utilised the available roofing materials in the UK housing market in developing the system reported. The main contribution of the developed system is that it provides a tool for the architects, quantity surveyors or self house builder to select optimal materials from a wide array of possibilities for different roof sub elements and also to estimate the conceptual cost for the roof element in the early stage of building design.

KW - TOPSIS

KW - Knowledge-based system

KW - Decision support system

KW - Roofing material selection

KW - Energy efficient building

KW - Product-cost modelling

U2 - 10.1016/j.eswa.2012.01.010

DO - 10.1016/j.eswa.2012.01.010

M3 - Article

SN - 0957-4174

VL - 39

SP - 6857

EP - 6871

JO - Expert Systems with Applications

JF - Expert Systems with Applications

ER -

Product-cost modelling approach for the development of a decision support system for optimal roofing material selection

Abstract

Bibliographical note

Keywords

Access to Document

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Cite this