Developing a theory of construction problem solving

Construction problem solving characterizes much of construction management practice and thus is an important research domain. Nonetheless, research in construction problem solving has not yet crossed the threshold into a mature discipline as there is no universally accepted theory for construction problem solving research. In exploring the possibility of establishing such a theory, this paper reviews existing research works in two important research categories: cognitive science and decision support systems. A strategy for building a theory for construction problem solving, focusing on the existing models and techniques developed in the two research categories, is proposed. Future research needs and opportunities are identified.

[1]  Chung-Wei Feng,et al.  Construction Time-Cost Trade-Off Analysis Using LP/IP Hybrid Method , 1995 .

[2]  Heng Li Machine learning of design concepts , 1994 .

[3]  L AltyJ Information Technology and the Construction Industry:Another Tower of Babel ? , 1993 .

[4]  C. D. Foster,et al.  A Strategy of Decision , 1963 .

[5]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[6]  Gerald F. Smith,et al.  Towards a theory of managerial problem solving , 1992, Decis. Support Syst..

[7]  D. A. Cowan Developing a Process Model of Problem Recognition , 1986 .

[8]  H. Simon,et al.  Rationality as Process and as Product of Thought , 1978 .

[9]  Edwin M. Bartee A Holistic View of Problem Solving , 1973 .

[10]  M. A. Alshawi,et al.  Expert systems and contractual disputes: extension of time under JCT 80 , 1989 .

[11]  William J. Clancey,et al.  Heuristic Classification , 1986, Artif. Intell..

[12]  L. Cronbach The two disciplines of scientific psychology. , 1957 .

[13]  G. Allison,et al.  Essence of Decision , 1971 .

[14]  S. Stich From folk psychology to cognitive science , 1983 .

[15]  Chung-Wei Feng,et al.  The LP/IP hybrid method for construction time-cost trade-off analysis , 1996 .

[16]  Adedeji B. Badiru,et al.  DDM: Decision support system for hierarchical dynamic decision making , 1993, Decis. Support Syst..

[17]  Jesus M. de la Garza,et al.  Knowledge engineering for a construction scheduling analysis system , 1988 .

[18]  John E. Dittrich,et al.  Managerial Problem Solving Models: A Review and a Proposal , 1978 .

[19]  W. Carlson,et al.  Cases in Managerial Data Analysis , 1996 .

[20]  T. Kuhn,et al.  The Structure of Scientific Revolutions , 1963 .

[21]  Adrian J. Smith Estimating, Tendering and Bidding for Construction , 1995 .

[22]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[23]  Peter Brandon Research and development of expert systems for the construction industry , 1992 .

[24]  James E. Diekmann,et al.  Claims Analysis and Computer Reasoning , 1984 .

[25]  Albert B. Cherns,et al.  Studying the client's role in construction management , 1984 .

[26]  Thomas J. Bouchard,et al.  Job Satisfaction: Environmental and Genetic Components , 1989 .

[27]  Rupert Harper,et al.  Decision Support Systems for Effective Planning and Control: R J Thierauf. Published by Prentice Hall. £27.20. 536pp , 1983 .

[28]  Miroslaw J. Skibniewski,et al.  Linear programming approach to construction equipment and labour assignments , 1990 .

[29]  Ang Aik Leng,et al.  Efficacy of expert system technology for the diagnosis of building defects — A case study , 1992 .

[30]  R. Cummins The nature of psychological explanation , 1983 .