Decision support for project management using a chronographic approach

Journal of Decision Systems

Volumn 11, Issue 3-4, 2002, Pages 383-404

  Francis, Adel ^a   Miresco, Edmond T ^a  

^a ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

Chronograph; CPM; DDS; Planning; Scheduling; Time Scaled

Indexed keywords

EID: 85015594216     PISSN: 12460125     EISSN: 21167052     Source Type: Journal    
DOI: 10.3166/jds.11.383-404     Document Type: Article

References (63)

1. ARINZE, B., and PARTOVI, F., A Knowledge-based Decision Support System for Project Management. Computers Operations Research, 19 (5) 321–334.
2. AYMAN, A. M., and ÉLIVEAU, Y., March 1991. “ Knowledge-Based Planning System ”. In Journal of Construction Engineering and Management, March, 1–13. ASCE.
3. BARTUSCH, M., MÖHRING, R. H., and RADERMACHER, F. J., Design Aspects of an Advanced Model-Oriented DSS for Scheduling Problems in Civil Engineering. Decision Support Systems, 5321–344.
4. CHANDRASHEKAR, S., MAYFIELD, B., and SAMADZADEH, M., 1993. Towards automating software project management. International Journal of Project Management, 11 (1) February:29–38.
5. COURBON, J. C., and STABELL, C. B., 1986. Artificial intelligence and the design of decision support systems. Conference on Economics and Artificial Intelligence. September1986, Aix-en-Provence.
6. CURRIE, K., and DRABBLE, B., 1992. Knowledge-based planning systems:a tour. International Journal of Project Management, 10 (3) August:131–136.
7. DANIELS, R. L., ICES PROJECT/I, Project Engineering Control, Cambridge, Massachusetts:M.I.T. M.I.T. Research Report R68-11
8. DIEKMANN, J. E., and KRAIEM, Z., 1988. Explanation of Construction Engineering Knowledge in Expert Systems. ASCE Journal of Construction Engineering and Management, 114 (3) September:364–389.
9. DIEKMANN, J. E., and AL-TABTABAI, H., 1992. Knowledge-based approach to construction project control. International Journal of Project Management, 10 (1) February:23–30.
10. ECHEVERRY, D., IBBS, C. W., and KIM, S., A knowledge-based approach to support the generation of construction schedules. Proceedings of the International Conference on Application of Artificial Intelligence Techniques to Civil and Structural Engineering. pp. 59–66. London, U.K.:City University.
11. FISK, R. E., Construction project administration, sixth edition, Prentice hall.
12. FONDAHL, J., A non-Computer Approach to the Critical Path Method for the Construction Industry, The Construction Institute, Department of Civil Enginnering, Stanford University. Technical Report No. 9
13. FONDAHL, J., Methods for Extending the Range of Non-Computer Critical Path Application, The Construction Institute, Department of Civil Enginnering, Stanford University. Technical Report No. 47
14. FORD, L. R., and ET FULKERSON, D. R., A simple Algorithm for finding maximum network flows and an application to the Hitchcok problem. Journal Canadien des Mathématiques, 9210–218.
15. FOX, M. S., and SMITH, S. F., ISIS–a knowledge-based system for factory scheduling. Expert Systems, 1 (1) 25–47.
16. FRANCIS, A., and MIRESCO, E. T., Decision Support for Project Management Using a Chronographique Approach. 2nd International Conference on Decision Making in Urban and Civil Engineering. November20-22, Lyon, France. pp. 845–856.
17. e congrès annuel. June05-082002, Montréal, Québec. pp. g27 GE019
18. FULKERSON, D. R., 1962. Expected Critical Path lenghts in Pert Networks. Operations Research, 10:808–817.
19. GEVARTER, W. B., 1987. The Nature and Evaluation of Commercial Expert System Building Tools. Computer Journal, May:24–41.
20. GIARD, V., Quelques problèmes méthodologiques actuels en gestion de projets. Revue française de gestion industrielle, 2/199151–68.
21. GRAY, C., Intelligent construction time and cost analysis. Construction Management and Economics Journal, 4 (2) 135–150.
22. GRUBBS, F. F., 1962. Attempts to validate certain PERT statistics. Operations Research, 10:912–915.
23. HARRIS, R. B., and IOANNOU, P. G., 1998. Scheduling Projects with Repeating Activities. Journal of Construction Engineering and Management, 119:196–214.
24. KÄHKÖNEN, K., 1993. “ Modelling activity dependencies for building construction project scheduling ”. In Laboratory of Urban Planning and Building Design, Vol. 153, 68–130. VTT Publications. Technical Research Centre of Finland, ESPOO 1993
25. KARTAM, N., and LEVITT, R. E., Intelligent planning of construction projects. ASCE Journal of Computing in Civil Engineering, 117 (4) 155–175.
26. KELLY, J. E., Jr. and WALKER, M., 1959. Critical-Path Planning and Scheduling. Proceedings Eastern Joint Computer Conference. December1-31959, Boston. pp. 160–173.
27. KELLY, J. E., Jr. 1960. Critical-Path Planning and Scheduling:Mathematical Basis. Operations Research, 8:296–320.
28. KHISTY, C. J., 1970. The Application of the Line of Balance Technique to the construction industry. Indian Concrete J., July:297–320.
29. LANNONE, A. L., and CIVITELLO, A. M., Jr. Construction Scheduling Simplifie, Englewood Cliffs, NJ:Prentice-Hall, Inc.
30. LÉVINE, P., and POMEROL, J.-Ch., 1989. Systèmes interactifs d'aide à la décision et systèmes experts, Édition Hermès Paris
31. LEVITT, R. E., KARTAM, N. A., and AND KUNZ, J. C., 1988. Artificial Intelligence Techniques for Generating Construction Projects Plans. ASCE Journal of Construction Engineering and Management, 114 (3) September:329–343.
32. LOGCHER, R. D., WANG, M.-T., and CHEN, F. H.-S., 1989. Knowledge Processing for Construction Management Data Base. ASCE Journal of Construction Engineering and Management, 115 (2) June:196–211.
33. LUMSDEN, P., 1968. The line of balance method, London, England:Pergamon Press.
34. MACCRIMMON, K. R., and ET RYAVEC, C. A., 1964. An Analytical study of the PERT Assumptions. Operations Research, 12 (1)
35. MALCOM, D. G., ROSEBOOM, J. H., CLARK, C. E., and FAZAR, W., 1959. Applications of a technique for R and D Program Evaluation. (PERT), Operations Reasearch, 7 (5):646–669.
36. MCGARTLAND, M. R., and HENDRICKSON, C. T., 1985. Expert Systems for Construction Project Monitoring. ASCE Journal of Construction Engineering and Management, 111 (3) September:293–307.
37. MASON, D., 1984. The CPM Technique in Construction:A critique. AACE Transactions
38. MELIN, J. W., and ET WHITEAKER, B., 1981. Fencing a Bar Charts. Journal of the construction division, ASCE, 107 (CO3):497–507.
39. MIRESCO, E. T., 1984. ICES-PROJECT\I Adaptation for microcomputer. Proceedings of 3rd. Conference in Computing in Civil Engineering. April2-61984, San-Diaego, USA. pp. 439–448. ASCE.
40. MIRESCO, E. T., PROJECT\I-80, an ICES\PROJECT\I like systems for microcomputers. Proceedings of Second International conference on computing in Civil Engineering. June5-91985. pp. 419–433. Hangzhou, China
41. MIRESCO, E. T., and POMEROL, J.-Ch., 1995. A Knowledge-Based Decision Support System for Construction Project Management. Proceedings of the 6th International Conference on Computing in Civil and Building Engineering. July12-151995, Berlin, Germany. pp. 1501–1507.
42. MIRESCO, E. T., and POMEROL, J.-Ch., Un modèle de représentation graphique des connaissances pour la gestion de projets de construction. Revue Internationale en gestion et management de projets, II (1) 4–16.
43. MURRAY, J. E., 1963. Consideration of PERT Assumptions. IEEE Trans., EM-10:94–99.
44. NAVINCHANDRA, D., SRIRAM, D., and LOGCHER, R. D., 1988. GHOST:Project Network Generator. ASCE Journal of Computing in Civil Engineering, 115 (2):239–254.
45. O'BRIEN, J. J., 1975. VPM scheduling for high-rise building. Journal of construction division, 101 (4):895–905.
46. PINNELL, S. S., 1980. Critical path scheduling an overview and a practical alternative. Civil engineering–ASCE, July:66–70.
47. POMEROL, J.-Ch., 1995. “ Artificial Intelligence and Human Decision Making ”. In Semi- Planary Papers of 14th Euro Edited by:Slowinski, R., 169–196.
48. RAHBAR, F., 1984. A Scheduling Tool for Smaller Jobs. AACE Transactions
49. RAHBAR, F. F., YATES, J. K., and SPENCER, G. R., 1991. Project Management Knowledge Engineering System. Cost Engineering, 33 (7):15–23.
50. RAHBAR, F., and ROWING, J. E., Repetitive activity scheduling process. Proc., AACE 36th Annual Meeting. 0.5.1-0.5.8., Orlando, Florida.
51. RICHER, H. M., 1986. An Evaluation of Expert Systems Development Tools. Expert Systems, 3 (3) July:166–183.
52. ROY, B., 1959. Contribution de la théorie des graphes à l’étude de certains problèmes linéaires. C.R. Acad. Sciences, T. 248 séances du 27 avril:2437–2439.
53. ème Conférence internationale sur la recherche opérationnelle. Aix-en-Provence. pp. 171–185. Londres:English Universities Press.
54. e trim
55. RUSSELL, A. D., and WONG, W. C. M., New Generation of Planning Structure. Journal of construction Engineering and Management, 119196–214.
56. SIMONS, K. L., THOMBENY, H. L., and WICKARD, D. A., Simulation system for construction planning and scheduling. Joint ASME/IEEE Power Generation Conference. pp. 1–9. Philadelphia, USA:ASME.
57. SLUGA, A., BUTALA, P., LAVRAC, N., and GAMS, M., 1988. An Attempt to Implement Expert System Techniques in CAPP. Robotics & Computer-Integrated Manufacturing, 4 (1-2):77–82.
58. SMITH, S., 1992. Towards an intelligent planning system. International Journal of Project Management, 10 (4) Novemnber:213–218.
59. SPRAGUE, R. H., Jr. and WATSON, H. J., 1989. Decision Support Systems–Putting Theory into Practice, 2nd edition, 9–35. Englewood Cliffs, New Jersey:Prentice Hall.
60. SUHAIL, S. A., and ET NEALE, R. H., 1994. CPM/LOB:New methodology to integrate CPM and Line of balance. Journal of construction Engineering and management, 120:667–684.
61. TAYLOR, R. M., 1991. Towards a knowledge-based model of project management. International Journal of Project Management, 9 (3) August:169–177.
62. WINSTANLEY, G., and KELLET, J. M., 1993. A computer-based configuration and planning system. International Journal of Project Management, 11 (2) May:103–110.
63. ZOZAYA-GOROSTIZA, C., HENDRICKSON, C., and REHAK, D. R., Knowledge-Based Process Planning for Construction and Manufacturing, Cambridge, Mass., USA:Academic Press Inc.