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Scheduling of Projects with Stochastic Evolution Structure

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Project Scheduling

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 14))

Abstract

The so-called classical project networks used by the network techniques CPM, PERT, and MPM, only allow for modelling projects whose evolution in time is uniquely specified in advance (cf. Elmaghraby 1977 and Moder et al. 1983). Here, each project activity is carried out exactly once during a single project execution and it is not possible to return to activities previously performed (that is, no feedback is permitted). Many practical projects, however, do not meet those conditions, for example, R&D projects and projects in production management where quality control is included and thus some feedback may occur.

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References

  • Adams, J., E. Balas, and D. Zawack. 1988. The Shifting Bottleneck Procedure for Job Shop Scheduling. Management Science 34, 391–401.

    Article  Google Scholar 

  • Blazewicz, J., K.H. Ecker, E. Pesch, G. Schmidt, and J. Weglarz. 1996. Scheduling Computer and Manufacturing Processes. Springer, Berlin.

    Google Scholar 

  • Brucker, P. 1995. Scheduling Algorithms. Springer, Berlin.

    Google Scholar 

  • Bücker, M. 1992. Time Complexity of Single Machine Scheduling with Stochastic Precedence Constraints. ZOR-Mathematical Methods of Operations Research 36, 211–225.

    Article  Google Scholar 

  • BÜcker, M., K. Neumann, and T. Rubach. 1994. Algorithms for Single-Machine Scheduling with Stochastic Outtree Precedence Relations to Minimize Expected Weighted Flowtime or Maximum Expected Lateness. ZOR-Mathematical Methods of Operations Research 39, 321–348.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Elmaghraby, S.E. 1977. Activity Networks: Project Planning and Control by Network Models. John Wiley and Sons, New York.

    Google Scholar 

  • Fujii, M., T. Kasami, and K. Nonomiya. 1969, 1971. Optimal Sequencing of Two Equivalent Processors. SIAM Journal of Applied Mathematics 17, 784–789, Erratum 20, 141.

    Article  Google Scholar 

  • Giffler, B. and G.L. Thompson. 1960. Algorithms for Solving Production-Scheduling Problems. Operations Research 8, 487–503.

    Article  Google Scholar 

  • Gittins, J.C. 1989. Multi-Armed Bandit Allocation Indices. John Wiley and Sons, New York.

    Google Scholar 

  • Horn, W.A. 1972. Single-Machine Job Sequencing with Treelike Precedence Ordering and Linear Delay Penalties. SIAM Journal of Applied Mathematics 23, 189–202.

    Article  Google Scholar 

  • Hu, T.C. 1961. Parallel Sequencing and Assembly Line Problems. Operations Research 9, 841–848.

    Article  Google Scholar 

  • Lawler, E.L. 1973. Optimal Sequencing of a Single Machine Subject to Precedence Constraints. Management Science 19, 544–546.

    Article  Google Scholar 

  • Lenstra, J.K. and A.H.G. Rinnooy Kan. 1978. Complexity of Scheduling under Precedence Constraints. Operations Research 26, 22–35.

    Article  Google Scholar 

  • Lenstra, J.K., A.H.G. Rinnooy Kan, and P. Brucker. 1977. Complexity of Machine Scheduling Problems. Annals of Discrete Mathematics 1, 343–362.

    Article  Google Scholar 

  • Moder, J.J., C.R. Phillips, and E.W. Davis. 1983. Project Management with CPM, PERT and Project Diagramming. Van Nostrand Reinhold, New York.

    Google Scholar 

  • Neumann, K. 1984. Recent Developments in Stochastic Activity Networks. Canadian Journal of Operational Research and Information Processing 22, 219–248.

    Google Scholar 

  • Neumann, K. 1990. Stochastic Project Networks. Lecture Notes in Economics and Mathematical Systems, Vol. 344. Springer, Berlin.

    Google Scholar 

  • Neumann, K. and W.G. Schneider. 1997. Job-Shop and Flow-Shop Scheduling with OR Network Precedence Constraints: Structural Questions and Heuristic Procedures. Technical Report WIOR-498, Institut für Wirtschaftstheorie und Operations Research, University of Karlsruhe.

    Google Scholar 

  • Neumann, K. and W.G. Schneider. 1998. Heuristic Algorithms for Job-Shop Scheduling Problems with Stochastic Precedence Constraints. Submitted to Annals of Operations Research.

    Google Scholar 

  • Neumann, K. and U. Steinhardt. 1979. GERT Networks and the Time-Oriented Evaluation of Projects. Lecture Notes in Economics and Mathematical Systems, Vol. 172. Springer, Berlin.

    Google Scholar 

  • Neumann, K. and J. Zimmermann. 1998. Heuristic Procedures for Parallel-Machine Scheduling Problems with Stochastic Precedence Constraints. Annals of Operations Research, to appear.

    Google Scholar 

  • Pinedo, M. 1995. Scheduling: Theory, Algorithms, and Systems. Prentice Hall, Englewood Cliffs.

    Google Scholar 

  • Schneider, W.G. 1997. Job Shop Scheduling with Stochastic Precedence Constraints. Shaker, Aachen.

    Google Scholar 

  • Zimmermann, J. 1995. Mehrmaschinen-Schedulingprobleme mit GERT-Anordnungsbeziehungen. Ph.D. Dissertation, University of Karlsruhe.

    Google Scholar 

  • Zimmermann, J. 1999. Time Complexity of Single-and Identical Parallel-Machine Scheduling with GERT Network Precedence Constraints. Mathematical Methods of Operations Research, to appear.

    Google Scholar 

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Neumann, K. (1999). Scheduling of Projects with Stochastic Evolution Structure. 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_14

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  • DOI: https://doi.org/10.1007/978-1-4615-5533-9_14

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7529-6

  • Online ISBN: 978-1-4615-5533-9

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