Healthcare facilities management: State of the art review

Facilities

Volumn 22, Issue , 2004, Pages 210-220

  Shohet, Igal M ^a   Lavy, Sarel ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Communication technologies; Facilities; Health services; Maintenance; Performance management; Risk management

Indexed keywords

EID: 84985993617     PISSN: 02632772     EISSN: None     Source Type: Journal    
DOI: 10.1108/02632770410547570     Document Type: Review

References (93)

1. Aha, D.W. (1998), “The omnipresence of case-based reasoning in science and application”, Knowledge-based Systems, Vol. 11 No. 5/6, pp. 261-73.
2. Alexander, K. (1996), Facilities Management: Theory and Practice, Spon Press, London.
3. Amaratunga, D. and Baldry, D. (2002a), “Balanced scorecard: a universal solution to facilities management?”, in Alexander, K. (Ed.), Proceedings of the Euro FM Research Symposium in Facilities Management, The University of Salford, Salford.
4. Amaratunga, D. and Baldry, D. (2002b), “Moving from performance measurement to performance management”, Facilities, Vol. 20 No. 5/6, pp. 217-33.
5. Andaleeb, S.S. (1998), “Determinants of customer satisfaction with hospitals: a managerial model”, International Journal of Health Care Quality Assurance, Vol. 11 No. 6, pp. 181-7.
6. Arditi, D. and Tokdemir, O.B. (1999), “Comparison of case-based reasoning and artificial neural networks”, Journal of Computing in Civil Engineering, Vol. 13 No. 3, pp. 162-9.
7. Armstrong, J. (2002), Facilities Management Manuals, CIRIA, London.
8. Barrett, P. (1995), Facilities Management: Towards Best Practice, Blackwell, Oxford.
9. Barrett, P. (2000), “Achieving strategic facilities management through strong relationships”, Facilities, Vol. 18 No. 10-12, pp. 421-6.
10. Becker, R. (1999), “Research and development needs for better implementation of the performance concept in building”, Automation in Construction, Vol. 8 No. 4, pp. 525-32.
11. Brandon, P.S. and Ribeiro, F.L. (1998), “A knowledge-based system for assessing applications for house renovation grants”, Construction Management and Economics, Vol. 16 No. 1, pp. 57-69.
12. British Institute of Facilities Management (2003), available at: www.bifm.org.uk.
13. British Standards Institution (1993), BSI3811: Glossary of Terms Used in Terotechnology, British Standards Institution, London.
14. Burke, E.K., MacCarthy, B., Petrovic, S. and Qu, R. (2000), “Structured cases in case-based reasoning: re-using and adapting cases for time-tabling problems”, Knowledge-based Systems, Vol. 13 No. 2/3, pp. 159-65.
15. Cercone, N. and McCalla, G. (1987), The Knowledge Frontier, Springer-Verlag, New York, NY.
16. Chan, K.T., Lee, R.H.K. and Burnett, J. (2001), “Maintenance performance: a case study of hospitality engineering systems”, Facilities, Vol. 19 No. 13/14, pp. 494-503.
17. Chao, L.C. and Skibniewski, M.J. (1998), “Neural networks for evaluating construction technologies”, in Flood, I. and Kartam, N. (Eds), Artificial Neural Networks for Civil Engineers: Advanced Features and Applications, American Society of Civil Engineers, New York, NY, pp. 1-34.
18. Chua, D.K.H., Li, D.Z. and Chan, W.T. (2001), “Case-based reasoning approach in bid decision making”, Journal of Construction Engineering and Management, Vol. 127 No. 1, pp. 35-45.
19. Clark, G. and Metha, P. (1997), “Artificial intelligence and networking in integrated building management systems”, Automation in Construction, Vol. 6 No. 5/6, pp. 481-98.
20. Costa, A., De Gloria, A. and Olivieri, M. (1996), “Hardware design of asynchronous fuzzy controllers”, IEEE Transactions on Fuzzy Systems, Vol. 4 No. 3, pp. 328-38.
21. Cunningham, P. and Bonzano, A. (1999), “Knowledge engineering issues in developing a case-based reasoning application”, Knowledge-Based Systems, Vol. 12 No. 7, pp. 371-9.
22. Dorsch, J.J. and Yasin, M.M. (1998), “A framework for benchmarking in the public sector: literature review and directions for future research”, International Journal of Public Sector Management, Vol. 11 No. 2/3, pp. 91-115.
23. Douglas, J. (1994), “Developments in appraising the total performance of buildings”, Structural Survey, Vol. 12 No. 6, pp. 10-15.
24. Douglas, J. (1996), “Building performance and its relevance to facilities management”, Facilities, Vol. 14 No. 3/4, pp. 23-32.
25. Duffy, F. (1990), “Measuring building performance”, Facilities, Vol. 8 No. 5, pp. 17-20.
26. Dzeng, R.J. and Tommelein, I.D. (1997), “Boiler erection scheduling using product models and case-based reasoning”, ASCE Journal of Construction Engineering and Management, Vol. 123 No. 3, pp. 338-47.
27. Edwards, D.J., Holt, G.D. and Harris, F.C. (2000), “A comparative analysis between the multilayer perceptron ‘neural network’ and multiple regression analysis for predicting construction plant maintenance costs”, Journal of Quality in Maintenance Engineering, Vol. 6 No. 1, pp. 45-60.
28. El-Haram, M.A. and Horner, M.W. (2002), “Factors affecting housing maintenance cost”, Journal of Quality in Maintenance Engineering, Vol. 8 No. 2, pp. 115-23.
29. Fahle, T., Junker, U., Karisch, S.E., Kohl, N., Sellmann, M. and Vaaben, B. (2002), “Constraint programming based column generation for crew assignment”, Journal of Heuristics, Vol. 8 No. 1, pp. 59-81.
30. Fausett, L. (1994), Fundamentals of Neural Networks: Architecture, Algorithms, and Applications, Prentice-Hall, Englewood Cliffs, NJ.
31. Flood, I. and Kartam, N. (1994), “Neural networks in civil engineering. I: Principles and understanding”, Journal of Computing in Civil Engineering, Vol. 8 No. 2, pp. 131-48.
32. Franceschini, F., Galetto, M., Pignatelli, A. and Varetto, M. (2003), “Outsourcing: guidelines for a structured approach”, Benchmarking: An International Journal, Vol. 10 No. 3, pp. 246-60.
33. Gallagher, M. (1998), Evolution of Facilities Management in the Health Care Sector, Construction Paper No. 86, The Chartered Institute of Building, Ascot, pp. 1-8.
34. Garcia, O.N. and Chien, Y.T. (1991), Knowledge-based Systems: Fundamentals and Tools, IEEE Computer Society Press, Los Alamitos, CA.
35. Garrett, J.H., Gunaratnam, D.J. and Ivezic, N. (1997), “Introduction”, in Kartam, N., Flood, I. and Garrett, J.H. (Eds), Artificial Neural Networks for Civil Engineers: Fundamentals and Applications, American Society of Civil Engineers, New York, NY, pp. 1-18.
36. Gelnay, B. (2002), “Facility management and the design of Victoria Public Hospitals”, Proceedings of the CIB Working Commission 70: Facilities Management and Maintenance Global Symposium 2002, Glasgow, pp. 525-45.
37. Goldberg, D.E. (1989), Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, MA.
38. Grimshaw, B. (1999), “Facilities management: the wider implications of managing change”, Facilities, Vol. 17 No. 1/2, pp. 24-30.
39. Grimshaw, R.W. (2003), “FM: the professional interface”, Facilities, Vol. 21 No. 3/4, pp. 50-7.
40. Hattis, D. (1996), “Role and significance of human requirements and architecture in application of the performance concept in buildings”, Proceedings of the 3rd International Symposium on Applications of the Performance Concept in Buildings (CIB-ASTM-ISO-RILEM), Vol. 1, The National Building Research Institute and the Faculty of Civil Engineering, Tel-Aviv, pp. I13-I22.
41. Hinks, J. and McNay, P. (1999), “The creation of a management-by-variance tool for facilities management performance assessment”, Facilities, Vol. 17 No. 1/2, pp. 31-53.
42. Holt, B., Edkins, A. and Millan, G. (2000), “Developing a generic risk database for FM”, in Nutt, B. and McLennan, P. (Eds), Facility Management: Risks and Opportunities, Blackwell, Oxford, pp. 201-11.
43. Hopegood, A.A. (1993), Knowledge-based Systems for Engineers and Scientists, CRC Press, Boca Raton, FL.
44. International Facility Management Association (2003), available at: www.ifma.org.
45. Jardine, A.K.S., Banjevic, D. and Makis, V. (1997), “Optimal replacement policy and the structure of software for condition-based maintenance”, Journal of Quality in Maintenance Engineering, Vol. 3 No. 2, pp. 109-19.
46. Kim, K. and Han, I. (2001), “Maintaining case-based reasoning systems using a genetic algorithms approach”, Expert Systems with Applications, Vol. 21, pp. 139-45.
47. Kincaid, D.G. (1994a), “Measuring performance in facility management”, Facilities, Vol. 12 No. 6, pp. 17-20.
48. Kincaid, D.G. (1994b), “A starting-point for measuring physical performance”, Facilities, Vol. 12 No. 3, pp. 24-7.
49. Lavy, S. and Shohet, I.M. (2003), “Integrated maintenance management of hospital buildings: a case study”, Construction Management and Economics, Vol. 22 No. 1, pp. 25-34.
50. Leite, P.T., Carneiro, A.A.F.M. and de Carvalho, A.C.P.L.F. (2002), “Energetic operation planning using genetic algorithms”, IEEE Transactions on Power Systems, Vol. 17 No. 1, pp. 173-9.
51. Lingras, P. (2001), “Statistical and genetic algorithms classification of highways”, Journal of Transportation Engineering, Vol. 127 No. 3, pp. 237-43.
52. Macsporran, C. and Tucker, S.N. (1996), “Target budget levels for building operating costs”, Construction Management and Economics, Vol. 14 No. 2, pp. 103-19.
53. Neely, A. (1998), Measuring Business Performance, Economist Books, London.
54. Neely, A. (1999), “The performance measurement revolution: why now and what next?”, International Journal of Operations & Production Management, Vol. 19 No. 2, pp. 205-28.
55. Neely, A., Gregory, M. and Platts, K. (1995), “Performance measurement system design”, International Journal of Operations & Production Management, Vol. 15 No. 4, pp. 80-116.
56. Nelson, M.L. and Alexander, K. (2002), “The emergence of supply chain management as a strategic facilities management tool”, in Alexander, K. (Ed.), Proceedings of the Euro FM Research Symposium in Facilities Management, The University of Salford, Salford.
57. Nesje, A. (2002), “Management, operation and maintenance costs of hospital buildings”, Proceedings of the International Federation of Hospital Engineering, Bergen, pp. 290-96.
58. Ng, J.J.M. and Li, K.X. (2003), “Implications of ICT for knowledge management in globalization”, Information Management and Computer Security, Vol. 11 No. 4, pp. 167-74.
59. O'Donovan, M. (1997), “Risk management and the medical profession”, Journal of Management Development, Vol. 16 No. 2, pp. 125-33.
60. Okoroh, M.I., Gombera, P.P., John, E. and Wagstaff, M. (2001), “Adding value to the healthcare sector: a facilities management partnering arrangement case study”, Facilities, Vol. 19 No. 3/4, pp. 157-63.
61. Okoroh, M.I., Gombera, P.P. and Ilozor, B.D. (2002), “Managing FM (support services): business risks in the healthcare sector”, Facilities, Vol. 20 No. 1/2, pp. 41-51.
62. Ozturk, P. and Aamodt, A. (1998), “A context model for knowledge-intensive case-based reasoning”, International Journal of Human-Computer Studies, Vol. 48 No. 3, pp. 331-55.
63. Payne, T. and Rees, D. (1999), “NHS facilities management: a prescription for change”, Facilities, Vol. 17 No. 7/8, pp. 217-21.
64. Pitt, T.J. (1997), “Data requirements for the prioritization of predictive building maintenance”, Facilities, Vol. 15 No. 3/4, pp. 94-104.
65. Powell, A. (2002), “Contracting out hospital services”, Proceedings of the International Federation of Hospital Engineering, Bergen, pp. 154-62.
66. Preiser, W.F.E. (1995), “Post-occupancy evaluation: how to make buildings work better”, Facilities, Vol. 13 No. 11, pp. 19-28.
67. Preiser, W.F.E. and Schramm, U. (2002), “Intelligent office building performance evaluation”, Facilities, Vol. 20 No. 7/8, pp. 279-87.
68. Price, I. (2002), “Can FM evolve? If not, what future?”, Journal of Facilities Management, Vol. 1 No. 1, pp. 56-69.
69. Procter, S. and Brown, A.D. (1997), “Computer-integrated operations: the introduction of a hospital information support system”, International Journal of Operations & Production Management, Vol. 17 No. 8, pp. 746-56.
70. Pullen, S., Atkinson, D. and Tucker, S. (2000), “Improvements in benchmarking the asset management of medical facilities”, Proceedings of the International Symposium on Facilities Management and Maintenance, Brisbane, pp. 265-71.
71. Rees, D. (1997), “The current state of facilities management in the UK National Health Service: an overview of management structures”, Facilities, Vol. 15 No. 3/4, pp. 62-5.
72. Rees, D. (1998), “Management structures of facilities management in the National Health Service in England: a review of trends 1995-1997”, Facilities, Vol. 16 No. 9/10, pp. 254-61.
73. Regterschot, J. (1990), “Facility management in changing organizations”, Proceedings of the International Symposium on Property Maintenance Management and Modernization, Vol. 1, CIB International Council for Building Research Studies and Documentation Working Commission 70, Singapore, pp. 146-55.
74. Ritchie, L. (2002), “Driving quality: clinical governance in the National Health Service”, Managing Service Quality, Vol. 12 No. 2, pp. 117-28.
75. Roddis, W.M.K. and Bocox, J. (1997), “Case-based approach for steel bridge fabrication errors”, Journal of Computing in Civil Engineering, Vol. 11 No. 2, pp. 84-91.
76. Shohet, I.M. (2003a), “Building evaluation methodology for setting priorities in hospital buildings”, Construction Management and Economics, Vol. 21 No. 7, pp. 681-92.
77. Shohet, I.M. (2003b), “Key performance indicators for maintenance of health-care facilities”, Facilities, Vol. 21 No. 1/2, pp. 5-12.
78. Shohet, I.M., Lavy-Leibovich, S. and Bar-On, D. (2003), “Integrated maintenance monitoring of hospital buildings”, Construction Management and Economics, Vol. 21 No. 2, pp. 219-28.
79. Shohet, I.M. and Lavy, S. (2004), “Development of an integrated healthcare facilities management model”, Facilities, Vol. 22 No. 5/6, pp. 129-40.
80. Sigala, M. (2003), “The information and communication technologies' productivity impact on the UK hotel sector”, International Journal of Operations & Production Management, Vol. 23 No. 10, pp. 1224-45.
81. Sinclair, D. (1996), “Physical building audit procedures and maintenance management”, in Baird, G., Gray, J., Isaacs, N., Kernohan, D. and McIndoe, G. (Eds), Building Evaluation Techniques, McGraw-Hill, New York, NY, pp. 46-9.
82. Spendolini, M.J. (1992), The Benchmarking Book, Amacom, New York, NY.
83. Stylios, C.D. and Groumpos, P.P. (1999), “A soft computing approach for modelling the supervisor of manufacturing systems”, Journal of Intelligent and Robotic Systems, Vol. 26 No. 3, pp. 389-403.
84. Then, D.S.S. (1999), “An integrated resource management view of facilities management”, Facilities, Vol. 17 No. 12/13, pp. 462-9.
85. Vanier, D.J. (2001), “Why industry needs asset management tools”, Journal of Computing in Civil Engineering, Vol. 15 No. 1, pp. 35-43.
86. Varcoe, B.J. (1996), “Facilities performance measurement”, Facilities, Vol. 14 No. 10/11, pp. 46-51.
87. Vatn, J., Hokstad, P. and Bodsberg, L. (1996), “An overall model for maintenance optimization”, Reliability Engineering and System Safety, Vol. 51, pp. 241-57.
88. Waring, T. and Wainwright, D. (2002), “Enhancing clinical and management discourse in ICT implementation”, Journal of Management in Medicine, Vol. 16 No. 2/3, pp. 133-49.
89. Watson, I. (1999), “Case-based reasoning is a methodology not a technology”, Knowledge-based Systems, Vol. 12 No. 5/6, pp. 303-8.
90. Williams, B. (2000), An Introduction to Benchmarking Facilities and Justifying the Investment in Facilities, Building Economics Bureau, Bromley.
91. Yau, N.J. and Yang, J.B. (1998a), “Case-base reasoning in construction management”, Computer-aided Civil and Infrastructure Engineering, Vol. 13 No. 2, pp. 143-50.
92. Yau, N.J. and Yang, J.B. (1998b), “Applying case-based reasoning technique to retaining wall selection”, Automation in Construction, Vol. 7 No. 4, pp. 271-83.
93. Yu, K., Froese, T. and Vinet, B. (1997), “Facilities management core models”, paper presented at the Annual Conference of the Canadian Society for Civil Engineering, Sherbrooke, Quebec, May.