IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v25y1997i2p145-153.html
   My bibliography  Save this article

A review of the applicability of OR and AI scheduling techniques in practice

Author

Listed:
  • Wiers, V. C. S.

Abstract

This paper presents a review of the applicability of scheduling techniques in practice. Both the operations research and the artificial intelligence research communities have produced a number of reports on the applicability of techniques, often in isolation from each other, although the problems encountered seem largely similar in each case. Moreover, studies on the role of humans in production scheduling are reviewed. Papers that discuss the use of techniques by humans are also discussed. The paper suggests ways in which the applicability of scheduling techniques might be improved.

Suggested Citation

  • Wiers, V. C. S., 1997. "A review of the applicability of OR and AI scheduling techniques in practice," Omega, Elsevier, vol. 25(2), pages 145-153, April.
    • Handle: RePEc:eee:jomega:v:25:y:1997:i:2:p:145-153
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305-0483(96)00050-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stephen C. Graves, 1981. "A Review of Production Scheduling," Operations Research, INFORMS, vol. 29(4), pages 646-675, August.
    2. Gupta, Sushil K & Kyparisis, Jerzy, 1987. "Single machine scheduling research," Omega, Elsevier, vol. 15(3), pages 207-227.
    3. Kenneth N. McKay & Frank R. Safayeni & John A. Buzacott, 1988. "Job-Shop Scheduling Theory: What Is Relevant?," Interfaces, INFORMS, vol. 18(4), pages 84-90, August.
    4. Ramasesh, R, 1990. "Dynamic job shop scheduling: A survey of simulation research," Omega, Elsevier, vol. 18(1), pages 43-57.
    5. Davis, Fred D. & Kottemann, Jeffrey E., 1995. "Determinants of Decision Rule Use in a Production Planning Task," Organizational Behavior and Human Decision Processes, Elsevier, vol. 63(2), pages 145-157, August.
    6. Kanet, John J. & Adelsberger, Heimo H., 1987. "Expert systems in production scheduling," European Journal of Operational Research, Elsevier, vol. 29(1), pages 51-59, April.
    7. Buxey, Geoff, 1989. "Production scheduling: Practice and theory," European Journal of Operational Research, Elsevier, vol. 39(1), pages 17-31, March.
    8. Speranza, M. Grazia & Woerlee, Auke P., 1991. "A decision support system for operational production scheduling," European Journal of Operational Research, Elsevier, vol. 55(3), pages 329-343, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tang, Lixin & Liu, Jiyin & Rong, Aiying & Yang, Zihou, 2001. "A review of planning and scheduling systems and methods for integrated steel production," European Journal of Operational Research, Elsevier, vol. 133(1), pages 1-20, August.
    2. Servranckx, Tom & Vanhoucke, Mario, 2019. "Strategies for project scheduling with alternative subgraphs under uncertainty: similar and dissimilar sets of schedules," European Journal of Operational Research, Elsevier, vol. 279(1), pages 38-53.
    3. Romero-Silva, Rodrigo & de Leeuw, Sander, 2021. "Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews," Omega, Elsevier, vol. 100(C).
    4. 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.
    5. Berglund, M. & Karltun, J., 2007. "Human, technological and organizational aspects influencing the production scheduling process," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 160-174, October.

    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. Framinan, Jose M. & Ruiz, Rubén, 2010. "Architecture of manufacturing scheduling systems: Literature review and an integrated proposal," European Journal of Operational Research, Elsevier, vol. 205(2), pages 237-246, September.
    2. Victor Portougal & David J. Robb, 2000. "Production Scheduling Theory: Just Where Is It Applicable?," Interfaces, INFORMS, vol. 30(6), pages 64-76, December.
    3. Ilkyeong Moon & Sanghyup Lee & Moonsoo Shin & Kwangyeol Ryu, 2016. "Evolutionary resource assignment for workload-based production scheduling," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 375-388, April.
    4. Pflughoeft, K. A. & Hutchinson, G. K. & Nazareth, D. L., 1996. "Intelligent decision support for flexible manufacturing: Design and implementation of a knowledge-based simulator," Omega, Elsevier, vol. 24(3), pages 347-360, June.
    5. Yingling, Jon C. & Goh, Chon-Huat & Ganguli, Rajive, 1999. "Analysis of the twisting department at Superior Cable Corporation: A case study," European Journal of Operational Research, Elsevier, vol. 115(1), pages 19-35, May.
    6. Beemsterboer, Bart & Land, Martin & Teunter, Ruud & Bokhorst, Jos, 2017. "Integrating make-to-order and make-to-stock in job shop control," International Journal of Production Economics, Elsevier, vol. 185(C), pages 1-10.
    7. Seifert, Ralf W. & Morito, Susumu, 2001. "Cooperative dispatching - exploiting the flexibility of an FMS by means of incremental optimization," European Journal of Operational Research, Elsevier, vol. 129(1), pages 116-133, February.
    8. Ntuen, Celestine A. & Park, Eui H., 1995. "An experiment in scheduling and planning of non-structured jobs: Lessons learned from artificial intelligence and operational research toolbox," European Journal of Operational Research, Elsevier, vol. 84(1), pages 96-115, July.
    9. Gordon, Valery & Proth, Jean-Marie & Chu, Chengbin, 2002. "A survey of the state-of-the-art of common due date assignment and scheduling research," European Journal of Operational Research, Elsevier, vol. 139(1), pages 1-25, May.
    10. Beemsterboer, Bart & Land, Martin & Teunter, Ruud & Bokhorst, Jos, 2017. "Reprint of “Integrating make-to-order and make-to-stock in job shop control”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 3-12.
    11. Ruiz, Ruben & Maroto, Concepcion, 2006. "A genetic algorithm for hybrid flowshops with sequence dependent setup times and machine eligibility," European Journal of Operational Research, Elsevier, vol. 169(3), pages 781-800, March.
    12. El Mehdi, Er Raqabi & Ilyas, Himmich & Nizar, El Hachemi & Issmaïl, El Hallaoui & François, Soumis, 2023. "Incremental LNS framework for integrated production, inventory, and vessel scheduling: Application to a global supply chain," Omega, Elsevier, vol. 116(C).
    13. Sarper, H. & Henry, M. C., 1996. "Combinatorial evaluation of six dispatching rules in a dynamic two-machine flow shop," Omega, Elsevier, vol. 24(1), pages 73-81, February.
    14. Bhattacharya, Arijit & Vasant, Pandian, 2007. "Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP," European Journal of Operational Research, Elsevier, vol. 177(1), pages 55-70, February.
    15. Kate, H.A. ten & Wijngaard, J. & Zijm, W.H.M., 1995. "Minimizing weighted total earliness, total tardiness and setup costs," Research Report 95A37, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    16. Lawrence, Michael & Goodwin, Paul & Fildes, Robert, 2002. "Influence of user participation on DSS use and decision accuracy," Omega, Elsevier, vol. 30(5), pages 381-392, October.
    17. P J Kalczynski & J Kamburowski, 2004. "Generalization of Johnson's and Talwar's scheduling rules in two-machine stochastic flow shops," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(12), pages 1358-1362, December.
    18. 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.
    19. Gibson, Faison P., 2000. "Feedback Delays: How Can Decision Makers Learn Not to Buy a New Car Every Time the Garage Is Empty?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 141-166, September.
    20. Lindau, Roger A., 1997. "Automatic data capture and its impact on productivity," International Journal of Production Economics, Elsevier, vol. 52(1-2), pages 91-103, October.

    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:eee:jomega:v:25:y:1997:i:2:p:145-153. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    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.