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A Survey of Interval Capacity Consistency Tests for Time- and Resource-Constrained Scheduling

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Project Scheduling

Abstract

Interval capacity consistency tests consider the resource capacities available and required within certain time intervals. The goal of the tests is to draw conclusions that allow to rule out inadmissible activity start times or sequences. The tests can be effectively used to reduce the search space of difficult time- and resource-constrained scheduling problems. They have successfully been applied in algorithms for solving idealised problems such as the classical job shop scheduling problem (JSP) or the resource-constrained project scheduling problem (RCPSP) as well as for solving industrial scheduling problems. For instance, it seems fair to say that the advances in modern branch and bound algorithms for the JSP that have been made in the last decade can to a large extent be attributed to the effect of interval consistency tests, some of which are also known under the names of immediate selection, edge finding, and energetic reasoning. The tests can also serve to derive tight lower bounds for makespan minimisation problems.

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References

  • Aggoun, A. and N. Beldiceanu. 1993. Extending CHIP in Order to Solve Complex Scheduling and Placement Problems. Mathematical and Computer Modelling 17, 57–73.

    Article  Google Scholar 

  • Applegate, D. and W. Cook. 1991. A Computational Study of the Job-Shop Scheduling Problem. ORSA Journal on Computing 3,149–156.

    Article  Google Scholar 

  • Baptiste, P. and C. Le Pape. 1995. A Theoretical and Experimental Comparison of Constraint Propagation Techniques for Disjunctive Scheduling. In Proceedings of the l4th International Joint Conference on Artificial Intelligence. Montreal.

    Google Scholar 

  • Baptiste, P. AND C. Le Pape. 1996. Edge-finding Constraint Propagation Algorithms for Disjunctive and Cumulative Scheduling. In Proceedings of the 15th Workshop of the U.K. Planning Special Interest Group. Liverpool, UK.

    Google Scholar 

  • Baptiste, P., C. Le Pape and W. P. Nuuten}. 1998. Satisfiability Tests and Time-Bound Adjustments for Cumulative Scheduling Problems. Research report, Univer-sité de Technologie de Compiègne.

    Google Scholar 

  • Bartusch, M., R. Möhring And F. Radermacher. 1988. Scheduling Project Networks with Resource Constraints and Time windows. Annals of Operations Research 16, 201–240.

    Article  Google Scholar 

  • Błażewicz, J., W. Domschke and E. Pesch. 1996a. The Job Shop Scheduling Problem: Conventional and New Solution Techniques. European Journal of Operational Research 93, 1–33.

    Article  Google Scholar 

  • Błażewicz, J., K. H. Ecker, E. Pesch, G. Schmidt and J. Węglarz. 1996b. Scheduling Computer and Manufacturing Processes. Springer, Berlin.

    Google Scholar 

  • Błażewicz, J., E. Pesch and M. Sterna. 1997. Application of Modified Disjunctive Graphs for Job Shop Scheduling Problems. Working paper.

    Google Scholar 

  • Błażewicz, J., E. Pesch and M. Sterna. 1998. A Branch and Bound Algorithm for the Job shop Scheduling Problem. In Beyond Manufacturing Resource Planning (MRP II), A. Drexl and A. Kimms, eds. Springer, Berlin. To appear.

    Google Scholar 

  • Brucker, P., A. Drexl, R. Möhring, K. Neumann and E. Pesch. 1998. Resource-Constrained Project Scheduling: Notation, Classification, Models, and Methods. Working paper.

    Google Scholar 

  • Brucker, P., B. Jurisch and A. Krämer. 1996a. The Job-Shop Problem and Immediate Selection. Annals of Operations Research 50, 73–114.

    Article  Google Scholar 

  • Brucker, P., A. Schoo and O. Thiele. 1996b. A Branch and Bound Algorithm for the Resource-Constrained Project Scheduling Problem. Osnabrücker Schriften zur Mathematik 178, Universität Osnabrück.

    Google Scholar 

  • Carlier, J. 1982. The One-Machine Sequencing Problem. European Journal of Operational Research 11,42–47.

    Article  Google Scholar 

  • Carlier, J. And E. Plnson. 1989. An Algorithm for Solving the Job-Shop Problem. Management Science 35, 164–176.

    Article  Google Scholar 

  • Carlier, J. And E. Plnson. 1990. A Practical Use of Jackson’s Preemptive Schedule for the Job Shop Problem. Annals of Operations Research 26,269–287.

    Google Scholar 

  • Carlier, J. And E. Plnson. 1994. Adjustments of Heads and Tails for the Job-Shop Problem. European Journal of Operational Research 78, 146–161.

    Article  Google Scholar 

  • Caseau, Y. And F. Laburthe. 1994. Improved CLP Scheduling with Task Intervals. In Proceedings of the 11th International Conference on Logic Programming, P. van Hentenryck, ed. MIT-Press.

    Google Scholar 

  • Caseau, Y. and F. Laburthe. 1995. Disjunctive Scheduling with Task Intervals. Tech. Rep. 95-25, Laboratoire d’Informatique de l’Ecole Normale Supérieure Paris.

    Google Scholar 

  • Caseau, Y. and F. Laburthe. 1996. Cumulative Scheduling with Task Intervals. In Proceedings of the Joint International Conference on Logic Programming. MIT-Press.

    Google Scholar 

  • Domschke, W. And A. Drexl. 1991. Kapazitätsplanung in Netzwerken: Ein Überblick über neuere Modelle und Verfahren. OR Spektrum 13, 63–76.

    Article  Google Scholar 

  • Fisher, H. and G. Thompson. 1963. Probabilistic Learning Combinations of Local Job-Shop Scheduling Rules. In Industrial Scheduling, J. Muth and G. Thompson, eds. Prentice-Hall, Englewood Cliffs, NF.

    Google Scholar 

  • Heilmann, R. and C. Schwindt. 1997. Lower Bounds for RCPSP/max. Tech. Rep. WIOR-511, Institut für Wirtschaftstheorie und Operations Research, Univer-sität Karlsruhe.

    Google Scholar 

  • Jackson, J. 1956. An Extension of Johnson’s Results on Job Lot Scheduling. Naval Research Logistics Quarterly 3, 201–203.

    Article  Google Scholar 

  • Klein, R. And A. Scholl. 1997. Computing Lower Bounds by Destructive Improvement — an Application to Resource-Constrained Project Scheduling. Schriften zur Quantitativen Betriebswirtschaftslehre 4/97, Technische Hochschule Darmstadt.

    Google Scholar 

  • Kolisch, R., A. Sprecher And A. Drexl. 1995. Characterization and Generation of a General Class of Resource-constrained Project Scheduling Problems. Management Science 41, 1693–1703.

    Article  Google Scholar 

  • Kumar, V. 1992. Algorithms for Constraint-Satisfaction Problems: A Survey. A.I. Magazine 13, 32–44.

    Google Scholar 

  • Le Pape, C. 1994. Implementation of Resource Constraints in ILOG SCHEDULE: A Library for the Development of Constraint-Based Scheduling Systems. Intelligent Systems Engineering 3, 55–66.

    Article  Google Scholar 

  • Le Pape, C. 1995. Three Mechanisms for Managing Resource Constraints in a Library for Constraint-Based Scheduling. In Proceedings of the INRIA/IEEE Conference on Emerging Technologies and Factory Automation. Paris.

    Google Scholar 

  • Le Pape, C. And P. Baptiste. 1996. A Constraint Programming Library for Preemptive and Non-Preemptive Scheduling. In Proceedings of the 12th European Conference on Aritificial Intelligence.

    Google Scholar 

  • Lopez, P. 1991. Aproche énergétique pour I’ordonnancement de tâches sous con-traintes te temps et de ressources. Ph.D. thesis, Universite Paul Sabatier, Toulouse. Cited after Lopez et al. 1992.

    Google Scholar 

  • Lopez, P., J. Erschler and P. Esquirol. 1992. Ordonnancement de tâches sous contraintes: une approche énergétique. RAIRO Automatique, Productique, Informa-tique Industrielle 26, 453–481.

    Google Scholar 

  • Martin, P. AND D. B. Shmoys. 1996. A New Approach to Computing Optimal Schedules for the Job-Shop Scheduling Problem. In Proceedings of the 5th International IPCO Conference.

    Google Scholar 

  • Nuijten, W. P. 1994. Time and Resource Constrained Scheduling: A Constraint Satisfaction Approach. Ph.D. thesis, Eindhoven University of Technology.

    Google Scholar 

  • Nuijten, W. P. And E. Aarts. 1996. A Computational Study of Constraint Satisfaction for Multiple Capacitated Job-Shop Scheduling. European Journal of Operational Research 90,269–284.

    Article  Google Scholar 

  • Nuijten, W. P. And C. Le Pape. 1998. Constraint-based Job Shop Scheduling with Ilog Scheduler. Journal of Heuristics 3, 271–286.

    Article  Google Scholar 

  • Pesch, E. and U. Tetzlaff. 1996. Constraint Propagation Based Scheduling of Job Shops. INFORMS Journal on Computing 8, 144–157.

    Article  Google Scholar 

  • Schwindt, C. 1997. Verfahren zur Lö’sung des Ressourcenbeschränkten Pro-jekt-dauerminimierungsproblems mit Planungsabhängigen Zeitfenstern. Ph.D. thesis, Universität Fridericiana zu Karlsruhe.

    Google Scholar 

  • Tsang, E. 1993. Foundations of Constraint Satisfaction. Academic Press, London.

    Google Scholar 

  • Van Hentenryck, P. 1989. Constraint Satisfaction in Logic Programming. Logic Programming Series. MIT Press, Cambridge, MA.

    Google Scholar 

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Dorndorf, U., Huy, T.P., Pesch, E. (1999). A Survey of Interval Capacity Consistency Tests for Time- and Resource-Constrained Scheduling. In: Węglarz, J. (eds) Project Scheduling. International Series in Operations Research & Management Science, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5533-9_10

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  • DOI: https://doi.org/10.1007/978-1-4615-5533-9_10

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