IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v39y1993i5p549-567.html
   My bibliography  Save this article

A Synthesis of Decision Models for Tool Management in Automated Manufacturing

Author

Listed:
  • Ann E. Gray

    (Harvard Business School, Soldiers Field, Boston, Massachusetts 02163)

  • Abraham Seidmann

    (The William E. Simon Graduate School of Business Administration, University of Rochester, Rochester, New York 14627)

  • Kathryn E. Stecke

    (School of Business Administration, The University of Michigan, Ann Arbor, Michigan 48109)

Abstract

The evidence is clear that a lack of attention to structured tool management has resulted in the poor performance of many manufacturing systems. Plant tooling systems affect product design options, machine loading, job batching, capacity scheduling, and real-time part routing decisions. With increasing automation in manufacturing systems, there is a growing need to integrate tool management more thoroughly into system design, planning and control. This paper critically evaluates various tool management approaches, identifying the operational tradeoffs and analyzing the models developed to address management decisions involving tooling. These decisions range from selecting the optimal machining parameters and the most economic processing rate for a particular operation, to the loading of tools and jobs on machines and the determination of the optimal tool-mix inventories needed for a particular production schedule. We present an integrated conceptual framework for resource planning to examine how tool management issues, depending upon their scope, can be classified into tool-level, machine-level, and system-level concerns. This framework specifies how decisions made at one level constrain those at lower levels, and how information from lower levels feeds back to higher level decisions. The framework structures our critical evaluation of the modeling approaches found in the academic literature and points to promising directions for future research.

Suggested Citation

  • Ann E. Gray & Abraham Seidmann & Kathryn E. Stecke, 1993. "A Synthesis of Decision Models for Tool Management in Automated Manufacturing," Management Science, INFORMS, vol. 39(5), pages 549-567, May.
  • Handle: RePEc:inm:ormnsc:v:39:y:1993:i:5:p:549-567
    DOI: 10.1287/mnsc.39.5.549
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.39.5.549
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.39.5.549?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
    ---><---

    Citations

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


    Cited by:

    1. Akturk, M. Selim & Avci, Selcuk, 1996. "Tool allocation and machining conditions optimization for CNC machines," European Journal of Operational Research, Elsevier, vol. 94(2), pages 335-348, October.
    2. Adil Baykasoğlu & Fehmi Burcin Ozsoydan, 2016. "An improved approach for determination of index positions on CNC magazines with cutting tool duplications by integrating shortest path algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 54(3), pages 742-760, February.
    3. Mohamed, Zubair M., 1995. "Ramifications of tool magazine size on the makespan and routing flexibility of flexible manufacturing systems," European Journal of Operational Research, Elsevier, vol. 87(2), pages 289-298, December.
    4. Naveen Kumar & Pankaj Chandna & Dheeraj Joshi, 2017. "Integrated scheduling of part and tool in a flexible manufacturing system using modified genetic algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1596-1607, November.
    5. Konak, Abdullah & Kulturel-Konak, Sadan & Azizoglu, Meral, 2008. "Minimizing the number of tool switching instants in Flexible Manufacturing Systems," International Journal of Production Economics, Elsevier, vol. 116(2), pages 298-307, December.
    6. Mohamed, Zubair M. & Bernardo, John J., 1997. "Tool planning models for flexible manufacturing systems," European Journal of Operational Research, Elsevier, vol. 103(3), pages 497-514, December.
    7. Sodhi, Manbir S. & Lamond, Bernard F. & Gautier, Antoine & Noel, Martin, 2001. "Heuristics for determining economic processing rates in a flexible manufacturing system," European Journal of Operational Research, Elsevier, vol. 129(1), pages 105-115, February.
    8. Crama, Yves, 1997. "Combinatorial optimization models for production scheduling in automated manufacturing systems," European Journal of Operational Research, Elsevier, vol. 99(1), pages 136-153, May.
    9. Ghosh, Diptesh, 2016. "Speeding up neighborhood search for the tool indexing problem," IIMA Working Papers WP2016-09-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    10. Gultekin, Hakan, 2012. "Scheduling in flowshops with flexible operations: Throughput optimization and benefits of flexibility," International Journal of Production Economics, Elsevier, vol. 140(2), pages 900-911.
    11. Beezão, Andreza Cristina & Cordeau, Jean-François & Laporte, Gilbert & Yanasse, Horacio Hideki, 2017. "Scheduling identical parallel machines with tooling constraints," European Journal of Operational Research, Elsevier, vol. 257(3), pages 834-844.
    12. Patrick H. Liu, 2000. "A comparative study of three tool replacement/operation sequencing strategies in a flexible manufacturing system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(6), pages 479-499, September.
    13. Gultekin, Hakan & Akturk, M. Selim & Karasan, Oya Ekin, 2006. "Cyclic scheduling of a 2-machine robotic cell with tooling constraints," European Journal of Operational Research, Elsevier, vol. 174(2), pages 777-796, October.
    14. Ghosh, Diptesh, 2016. "Exploring Lin Kernighan neighborhoods for the indexing problem," IIMA Working Papers WP2016-02-13, Indian Institute of Management Ahmedabad, Research and Publication Department.
    15. Catanzaro, Daniele & Gouveia, Luis & Labbé, Martine, 2015. "Improved integer linear programming formulations for the job Sequencing and tool Switching Problem," European Journal of Operational Research, Elsevier, vol. 244(3), pages 766-777.
    16. Vagnorius, Zydrunas & Rausand, Marvin & Sørby, Knut, 2010. "Determining optimal replacement time for metal cutting tools," European Journal of Operational Research, Elsevier, vol. 206(2), pages 407-416, October.
    17. Furrer, Martina & Mütze, Torsten, 2017. "An algorithmic framework for tool switching problems with multiple objectives," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1003-1016.
    18. Ghosh, Diptesh, 2016. "Allocating tools to index positions in tool magazines using tabu search," IIMA Working Papers WP2016-02-06, Indian Institute of Management Ahmedabad, Research and Publication Department.
    19. Akturk, M. Selim & Ghosh, Jay B. & Gunes, Evrim D., 2004. "Scheduling with tool changes to minimize total completion time: Basic results and SPT performance," European Journal of Operational Research, Elsevier, vol. 157(3), pages 784-790, September.
    20. Gaalman, G. J. C. & Nawijn, W. M., 1996. "Tool sharing in parallel part production," International Journal of Production Economics, Elsevier, vol. 46(1), pages 521-533, December.
    21. Diane E. Bailey & Paul M. Leonardi & Jan Chong, 2010. "Minding the Gaps: Understanding Technology Interdependence and Coordination in Knowledge Work," Organization Science, INFORMS, vol. 21(3), pages 713-730, June.
    22. M. Selim Akturk & Jay B. Ghosh & Evrim D. Gunes, 2003. "Scheduling with tool changes to minimize total completion time: A study of heuristics and their performance," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(1), pages 15-30, February.

    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:inm:ormnsc:v:39:y:1993:i:5:p:549-567. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.