A formal identification and re-sequencing process for developing sequencing alternatives in CPM schedules

Automation in Construction

Volumn 17, Issue 1, 2007, Pages 75-89

  Koo, Bonsang ^a   Fischer, Martin ^b   Kunz, John ^c  

^a Construction and Economy Research Institute of Korea ^*  (South Korea)

^b STANFORD UNIVERSITY   (United States)

^c Stanford University   (United States)

Author keywords

Computer aided scheduling; Constraint modeling; Construction management; Critical path method

Indexed keywords

ERROR ANALYSIS; HEURISTIC METHODS; PROJECT MANAGEMENT; STRATEGIC PLANNING;

COMPUTER AIDED SCHEDULING; CONSTRAINT MODELING; CONSTRUCTION MANAGEMENT; CRITICAL PATH METHOD;

INDUSTRIAL MANAGEMENT;

EID: 34547788324     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2007.03.005     Document Type: Article

References (25)

1. Barrie D.S., and Boyd Jr. C.P. Professional Construction Management. First edition (1978), McGraw-Hill Book Co, New York
2. Milosevic D. Project Management ToolBox: Tools and Techniques for the Practicing Project Manager (2003), John Wiley & Sons, Inc., Hoboken, NJ
3. Kelley Jr. J.E., and Walker M.R. Critical path planning and scheduling. Proceedings of the Eastern Join Computer Conference, Boston, Massachusetts (1959) 160-173
4. Fondahl J.W. A non-computer approach to the critical path method for the construction industry. Technical Report vol. 9 (1961), The Construction Institute, Stanford University, CA
5. Li H., Cao J., and Love P. Using machine learning and GA to solve time-cost trade-off problems. Journal of Construction Engineering and Management, ASCE 125 5 (1999) 347-353
6. Zheng D., and Ng S. Stochastic time-cost optimization model incorporating fuzzy sets theory and nonreplaceable front. Journal of Construction Engineering and Management, ASCE 131 2 (2004) 176-186
7. Paulson Jr. B.C. Man-computer concepts for project management. Technical Report vol. 148 (1971), The Construction Institute, Department of Civil Engineering, Stanford University, Stanford, CA.
8. Crandall K.C. Resource allocation with project manager control. In: Ibbs C.W. (Ed). Construction Research Applied to Practice (1985), ASCE 1-17
9. Leu S.S., and Yang C. GA-based multi-criteria optimal model for construction scheduling. Journal of Construction Engineering and Management, ASCE 125 6 (1999) 420-427
10. Leu S.S., Chen A., and Yang C. Fuzzy optimal model for resource-constrained construction scheduling. Journal of Construction Engineering and Management, ASCE 13 3 (1999) 207-216
11. Tate A., and Whiter A.M. Planning with multiple resource constraints an application to a naval planning problem. Proc. of the 1st Conference on AI Applications, Denver, CO (1984) 410-416
12. Wilkens D.E. Can AI planners solve practical problems?. Computational Intelligence 6 4 (1990) 232-246
13. Smith S.F. The OPIS framework for modeling manufacturing systems. Technical Report, TR-CMU-RI-89-30 (1989), Carnegie Mellon University, The Robotics Institute
14. Zweben M., Davis E., and Deale M. Iterative repair for scheduling and rescheduling. IEEE Transactions on Systems, Man and Cybernetics 23 6 (1993) 1588-1596
15. Aarup M., Arentoft M.M., Parrod Y., Stader J., and Stokes I. OPTIMUM-AIV: a knowledge based planning and scheduling system for spacecraft AIV. In: Fox M., and Zweben M. (Eds). Knowledge Based Scheduling (1994), Morgan Kaufmann, San Mateo, CA 451-469
16. Hanks S., and Weld D.S. The systematic plan adaptor: a formal foundation for case-based planning. Technical Report, 92-09-04 (1992), Dept. of Computer Science and Engineering, University of Washington, Seattle, WA
17. Sycara K., and Miyashita K. Schedule repair through case-based reasoning. Technical Report (1993), The Robotics Institute, Carnegie Mellon University
18. Koo B., Fischer M., and Kunz J. Formalization of construction sequencing rationale and classification mechanism to support rapid generation of sequencing alternatives. Technical Report vol. 167 (2006), CIFE, Stanford University, Stanford, CA
19. Echeverry D., Ibbs W., and Kim S. Sequence knowledge for construction scheduling. Journal of Construction Engineering and Management, ASCE 117 1 (1991) 118-130
20. Kähkönen, K. (1993) Modelling activity dependencies for building construction project scheduling. Technical Research Centre of Finland, VTT Publications, ESPOO.
21. Aalami F., Kunz J., and Fischer M. Model-based sequencing mechanisms used to automate activity sequencing. Working Paper vol. 50 (1998), CIFE, Stanford University, Stanford, CA
22. Tommelein I.D., Riley D., and Howell G.A. Parade game: impact of work flow variability on trade performance. Journal of Construction Engineering and Management, ASCE 125 5 (1999) 304-301
23. Chua D.K.H., Shen L.J., and Bok S.H. Constraint-based planning with integrated production scheduler over Internet. Journal of Construction Engineering and Management, ASCE 129 3 (2003) 293-310
24. Thomsen J., Levitt R., Kunz J., Nass C., and Fridsma D. A trajectory for validating computational emulation models of organizations. Journal of Computational and Mathematical Organization Theory 5 4 (1999) 385-401
25. Clayton M., Kunz J., and Fischer M. The Charrette test method. Technical Report vol. 120 (1998), CIFE, Stanford University, Stanford, CA