Whole-life costing in construction: A state of the art review

This report is a state of the art review of whole life costing in the construction industry. It is the first of a series reporting on-going research undertaken within the research project ‘Developing an integrated database for whole life costing applications in construction’. This project is funded by the EPSRC and undertaken by a unique collaboration between two teams of researchers from the Robert Gordon University and the University of Salford. The fundamental basics of whole life costing (WLC) are introduced. First, the historical development of the technique is highlighted. Then, the suitability of various WLC approaches and techniques are critically reviewed with emphasis on their suitability for application within the framework of the construction industry. This is followed by a review of WLC mathematical models in the literature. Data requirements for WLC are then discussed. This includes a review of various economic, physical, and quality variables necessary for an effective WLC analysis of construction assets. Data sources within the industry are also highlighted with emphasis on current data collection and recording systems. In addition, the requirements of a data compilation procedure for WLC are outlined. The necessity of including the analysis of uncertainty into WLC studies is discussed. Attempts to utilise various risk assessment techniques to add to the quality of WLC decision-making are reviewed with emphasis on their suitability to be implemented in an integrated environment. Essential requirements for the effective application of WLC in the industry are outlined with emphasis on the design of the cost breakdown structure and information management throughout various life cycle phases. Then, directions for further future research are introduced.

[1]  Won Il Ko,et al.  Nuclear fuel cycle cost analysis using a probabilistic simulation technique , 1998 .

[2]  Roger Flanagan,et al.  Risk Management and Construction , 1993 .

[3]  Sherif Ali Mohtady Mohamed,et al.  Modelling project investment decisions under uncertainty using possibility theory , 2001 .

[4]  J. Buckley,et al.  Fuzzy Mathematics in Finance , 1987 .

[5]  Assem Al-Hajj,et al.  Modelling the running costs of buildings , 1998 .

[6]  Paulson DESIGNING TO REDUCE CONSTRUCTION COSTS , 1976 .

[7]  B. Dhillon Life Cycle Costing , 1999 .

[8]  E. F. Finch The uncertain role of life cycle costing in the renewable energy debate , 1994 .

[9]  Eva Sterner,et al.  Life-cycle costing and its use in the Swedish building sector , 2000 .

[10]  Francis Salway,et al.  Depreciation of commercial property , 1986 .

[11]  Rosalie T. Ruegg,et al.  Building Economics: Theory and Practice , 1990 .

[12]  S. Salhi Applications of Fuzzy Set Methodologies in Industrial Engineering , 1991 .

[13]  Alphonse J. Dell'Isola,et al.  Life Cycle Costing for Design Professionals , 1981 .

[14]  Y. Asiedu,et al.  Product life cycle cost analysis: State of the art review , 1998 .

[15]  Roger Flanagan,et al.  Life Cycle Costing for Construction , 2005 .

[16]  L. Zadeh,et al.  Probability theory and fuzzy logic are complementary rather than competitive , 1995 .

[17]  Roger Flanagan Life Cycle Costing Theory and Practice , 1989 .

[18]  Dorota Kuchta,et al.  Fuzzy capital budgeting , 2000, Fuzzy Sets Syst..

[19]  Mohammed Kishk,et al.  A fuzzy model and algorithm to handle subjectivity in life cycle costing based decision-making. , 2000 .

[20]  Claude Bédard,et al.  Assessing office building life cycle costs at preliminary design stage , 1996 .

[21]  P. J. Byrne FUZZY DCF ! A CONTRADICTION IN TERMS , OR A WAY TO BETTER INVESTMENT APPRAISAL ? , 1998 .

[22]  Bart Kosko,et al.  Fuzzy Engineering , 1996 .

[23]  David Cadman,et al.  Risk, Uncertainty and Decision-Making in Property Development , 1984 .

[24]  P Liang,et al.  Computer-aided risk evaluation system for capital investment , 1994 .

[25]  J.W.Bull The way ahead for life cycle costing in the construction industry , 2003 .

[26]  David G Woodward Use of sensitivity analysis in build-own-operate-transfer project evaluation , 1995 .

[27]  Chui-Yu Chiu,et al.  FUZZY CASH FLOW ANALYSIS USING PRESENT WORTH CRITERION , 1994 .

[28]  D. M. Rasmuson,et al.  Uncertainties in Nuclear Probabilistic Risk Analyses , 1984 .

[29]  MOHAMMED,et al.  Handling Linguistic Assessments In Life Cycle Costing-A Fuzzy Approach , 2022 .

[30]  Ghassan Aouad,et al.  The development of an integrated life cycle costing model using object oriented and vr technologies , 1999 .

[31]  Nils Larsson,et al.  Incremental costs within the design process for energy efficient buildings , 2000 .

[32]  Anne Aikivuori Periods and demand for private sector housing refurbishment , 1996 .

[33]  Robert L. Winkler,et al.  Combining Probability Distributions From Experts in Risk Analysis , 1999 .

[34]  Erik Brandt The use of performance and durability data in assessment of life time serviceability , 1999 .

[35]  Capt Sherry Sims Life Cycle Cost Management , 1978 .

[36]  J.J.Griffin Life cycle cost analysis: a decision aid , 2003 .

[37]  S.J.Dale Introduction to life cycle costing , 2003 .

[38]  Derek Smith Adoption by industry of life cycle approaches : its implications for industry competitiveness and trade , 1998 .

[39]  E. Tolga,et al.  Justification of manufacturing technologies using fuzzy benefit/cost ratio analysis , 2000 .

[40]  John Kelly,et al.  Value Management in Design and Construction , 1993 .

[41]  V. M. Rao Tummala,et al.  Practices, barriers and benefits of risk management process in building services cost estimation , 1997 .

[42]  Paul. Olomolaiye,et al.  An evaluation of the project needs of UK building clients , 1998 .

[43]  Shimin Chen AN EMPIRICAL EXAMINATION OF CAPITAL BUDGETING TECHNIQUES: IMPACT OF INVESTMENT TYPES AND FIRM CHARACTERISTICS , 1995 .

[44]  F. J. Bromilow,et al.  Life cycle cost of university buildings , 1987 .

[45]  Robert D. Neathammer,et al.  Life-Cycle Maintenance Costs by Facility Use , 1991 .

[46]  Nobuyuki Nakajima An Introduction to Fuzzy Mathematics , 1994 .

[47]  M. G Goumas,et al.  Computational methods for planning and evaluating geothermal energy projects , 1999 .

[48]  Martin Skitmore,et al.  Accuracy in estimating , 1983 .

[49]  Marco Savoia,et al.  Fuzzy number theory to obtain conservative results with respect to probability , 1998 .

[50]  Roger Flanagan,et al.  Life cycle costing and risk management , 1987 .

[51]  Mohammed Kishk,et al.  INCLUSION OF NON-FINANCIAL FACTORS IN LIFE- CYCLE DECISION-MAKING: A FUZZY APPROACH , 2001 .

[52]  R Flavell,et al.  Project appraisal—a framework to assess non-financial aspects of projects during the project life cycle , 1998 .

[53]  R. J. KIRKHAM,et al.  FORECASTING THE RUNNING COSTS OF SPORT AND LEISURE CENTRES Costs of running leisure centres , 1999 .

[54]  R. Ruegg,et al.  Economics of building design , 1981 .

[55]  Peter Byrne,et al.  Fuzzy analysis: A vague way of dealing with uncertainty in real estate analysis? , 1995 .

[56]  Allan Ashworth Estimating the life expectancies of building components in life‐cycle costing calculations , 1996 .

[57]  Madan M. Gupta,et al.  Fuzzy mathematical models in engineering and management science , 1988 .

[58]  Roger Slater,et al.  Quantitative methods for business decisions , 1985 .

[59]  Mohammed Kishk,et al.  COBRA 1999 An integrated framework for life cycle costings in buildings , 1999 .

[60]  David G. Woodward,et al.  Life cycle costing—Theory, information acquisition and application , 1997 .

[61]  E. Bartlett,et al.  Informing the decision makers on the cost and value of green building , 2000 .

[62]  M. H. Hermans BUILDING PERFORMANCE STARTS AT HAND-OVER: THE IMPORTANCE OF LIFE SPAN INFORMATION , 1999 .

[63]  P. Jovanović,et al.  Application of sensitivity analysis in investment project evaluation under uncertainty and risk , 1999 .