IDEAS home Printed from https://ideas.repec.org/a/wly/isacfm/v3y1994i2p111-125.html
   My bibliography  Save this article

Scheduling Shipbuilding Using a Constraint Directed Graph Search: DAS‐ERECT

Author

Listed:
  • Jae Kyu Lee
  • Hyung Rim Choi
  • Ok Ryul Yang
  • Ho Dong Kim

Abstract

To build a scheduling system for shipbuilding, we have adopted a hierarchical architecture and developed a constraint directed graph search technique for erection scheduling at the dock. First, in the hierarchical architecture, detailed schedules for the lower‐level assembly plants are delegated to the individual plant's schedulers as long as the requirements from the higher‐level scheduler are satisfied. However, if lower‐level scheduling is impossible, the higher‐level scheduler attempts to adjust the original requirements. Second, in the constraint directed graph search, the concepts of graph expansion and constraint directed pruning are amalgamated into an algorithm. The approaches are implemented in the DAS‐ERECT system which is a sub‐system of the DAS project undertaken for the Daewoo Shipbuilding Company.

Suggested Citation

  • Jae Kyu Lee & Hyung Rim Choi & Ok Ryul Yang & Ho Dong Kim, 1994. "Scheduling Shipbuilding Using a Constraint Directed Graph Search: DAS‐ERECT," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 3(2), pages 111-125, April.
    • Handle: RePEc:wly:isacfm:v:3:y:1994:i:2:p:111-125
    DOI: 10.1002/j.1099-1174.1994.tb00060.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/j.1099-1174.1994.tb00060.x
    Download Restriction: no
    File URL: https://libkey.io/10.1002/j.1099-1174.1994.tb00060.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kusiak, Andrew & Chen, Mingyuan, 1988. "Expert systems for planning and scheduling manufacturing systems," European Journal of Operational Research, Elsevier, vol. 34(2), pages 113-130, March.
    2. Kerr, R. M. & Ebsary, R. V., 1988. "Implementation of an expert system for production scheduling," European Journal of Operational Research, Elsevier, vol. 33(1), pages 17-29, January.
    3. James H. Patterson, 1984. "A Comparison of Exact Approaches for Solving the Multiple Constrained Resource, Project Scheduling Problem," Management Science, INFORMS, vol. 30(7), pages 854-867, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Valls, Vicente & Angeles Perez, M. & Sacramento Quintanilla, M., 1998. "A tabu search approach to machine scheduling," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 277-300, April.
    2. M. Vanhoucke & J. Coelho & L. V. Tavares & D. Debels, 2004. "On The Morphological Structure Of A Network," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/272, Ghent University, Faculty of Economics and Business Administration.
    3. Rainer Kolisch & Andreas Drexl, 1996. "Adaptive search for solving hard project scheduling problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(1), pages 23-40, February.
    4. Salewski, Frank & Schirmer, Andreas & Drexl, Andreas, 1996. "Project Scheduling under Resource and Mode Identity Constraints. Part II: An Application to Audit-Staff Scheduling," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 388, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    5. Schirmer, Andreas & Riesenberg, Sven, 1997. "Parameterized heuristics for project scheduling: Biased random sampling methods," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 456, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    6. Olafsson, Sigurdur & Li, Xiaonan, 2010. "Learning effective new single machine dispatching rules from optimal scheduling data," International Journal of Production Economics, Elsevier, vol. 128(1), pages 118-126, November.
    7. Colin E. Bell & Jaemin Han, 1991. "A new heuristic solution method in resource‐constrained project scheduling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(3), pages 315-331, June.
    8. Aristide Mingozzi & Vittorio Maniezzo & Salvatore Ricciardelli & Lucio Bianco, 1998. "An Exact Algorithm for the Resource-Constrained Project Scheduling Problem Based on a New Mathematical Formulation," Management Science, INFORMS, vol. 44(5), pages 714-729, May.
    9. Drexl, Andreas & Nissen, Rudiger & Patterson, James H. & Salewski, Frank, 2000. "ProGen/[pi]x - An instance generator for resource-constrained project scheduling problems with partially renewable resources and further extensions," European Journal of Operational Research, Elsevier, vol. 125(1), pages 59-72, August.
    10. Sönke Hartmann, 1998. "A competitive genetic algorithm for resource‐constrained project scheduling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 45(7), pages 733-750, October.
    11. Yan Zhao & Nanfang Cui & Wendi Tian, 2020. "A two-stage approach for the critical chain project rescheduling," Annals of Operations Research, Springer, vol. 285(1), pages 67-95, February.
    12. Dayal Madhukar & Verma, Sanjay, 2014. "Breadth-first and Best-first Exact Procedures for Regular Measures of the Multi-mode RCPSP," IIMA Working Papers WP2014-10-04, Indian Institute of Management Ahmedabad, Research and Publication Department.
    13. Bouleimen, K. & Lecocq, H., 2003. "A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version," European Journal of Operational Research, Elsevier, vol. 149(2), pages 268-281, September.
    14. Kai Watermeyer & Jürgen Zimmermann, 2022. "A partition-based branch-and-bound algorithm for the project duration problem with partially renewable resources and general temporal constraints," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 575-602, June.
    15. Carlier, Jacques & Neron, Emmanuel, 2000. "A new LP-based lower bound for the cumulative scheduling problem," European Journal of Operational Research, Elsevier, vol. 127(2), pages 363-382, December.
    16. Kolisch, Rainer, 1994. "Serial and parallel resource-constrained projekt scheduling methodes revisited: Theory and computation," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 344, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    17. Simpson, Wendell P. & Patterson, James H., 1996. "A multiple-tree search procedure for the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 89(3), pages 525-542, March.
    18. Tsai, Ying-Wei & D. Gemmill, Douglas, 1998. "Using tabu search to schedule activities of stochastic resource-constrained projects," European Journal of Operational Research, Elsevier, vol. 111(1), pages 129-141, November.
    19. Viana, Ana & Pinho de Sousa, Jorge, 2000. "Using metaheuristics in multiobjective resource constrained project scheduling," European Journal of Operational Research, Elsevier, vol. 120(2), pages 359-374, January.
    20. Demeulemeester, Erik L. & Herroelen, Willy S., 1996. "Modelling setup times, process batches and transfer batches using activity network logic," European Journal of Operational Research, Elsevier, vol. 89(2), pages 355-365, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:isacfm:v:3:y:1994:i:2:p:111-125. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1099-1174/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.