IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v161y2008i1p87-10210.1007-s10479-007-0302-1.html
   My bibliography  Save this article

Forming partnerships in a virtual factory

Author

Listed:
  • George Vairaktarakis
  • Jamshid Hosseini

Abstract

In the evolving paradigm known as ‘agile operations’, conceptual and visionary descriptions are progressively becoming abundant. Rigorous treatments leading to operable solutions, on the other hand, are scarce and in need of development. Formation of partnerships ranging from rudimentary supplier type relationships to strategic alliances comprise an aspect of agile operations called the ‘virtual factory’ in the new paradigm. We develop a model to determine an optimal alliance of partners for executing a given project composed of a set of activities and their precedence network. Possible alliances amongst partners are given in a ‘partnership matrix’, induced by a set of operating characteristics for each partner. Using the above information we formulate the problem of assigning project activities to eligible partners so that every pair of adjacent activities is assigned to a pair of compatible (or allied) partners. Our objective is to minimize the project duration. Lower bounds and heuristic algorithms are developed for the above problem, that take advantage of a mathematical formulation and the structure of the problem. Supporting computational experiments are also reported. Copyright Springer Science+Business Media, LLC 2008

Suggested Citation

  • George Vairaktarakis & Jamshid Hosseini, 2008. "Forming partnerships in a virtual factory," Annals of Operations Research, Springer, vol. 161(1), pages 87-102, July.
    • Handle: RePEc:spr:annopr:v:161:y:2008:i:1:p:87-102:10.1007/s10479-007-0302-1
    DOI: 10.1007/s10479-007-0302-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-007-0302-1
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10479-007-0302-1?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
    ---><---

    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. Nicholas G. Hall & Marc E. Posner, 2001. "Generating Experimental Data for Computational Testing with Machine Scheduling Applications," Operations Research, INFORMS, vol. 49(6), pages 854-865, December.
    2. George L. Vairaktarakis, 2003. "The Value of Resource Flexibility in the Resource-Constrained Job Assignment Problem," Management Science, INFORMS, vol. 49(6), pages 718-732, June.
    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. Zhi-Long Chen & Nicholas G. Hall, 2010. "The Coordination of Pricing and Scheduling Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 12(1), pages 77-92, April.
    2. Antonio J. Conejo & Nicholas G. Hall & Daniel Zhuoyu Long & Runhao Zhang, 2021. "Robust Capacity Planning for Project Management," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1533-1550, October.
    3. Leo Lopes & Kate Smith-Miles, 2013. "Generating Applicable Synthetic Instances for Branch Problems," Operations Research, INFORMS, vol. 61(3), pages 563-577, June.
    4. Vinod, V. & Sridharan, R., 2011. "Simulation modeling and analysis of due-date assignment methods and scheduling decision rules in a dynamic job shop production system," International Journal of Production Economics, Elsevier, vol. 129(1), pages 127-146, January.
    5. Joonyup Eun & Chang Sup Sung & Eun-Seok Kim, 2017. "Maximizing total job value on a single machine with job selection," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 998-1005, September.
    6. Kuan Wei Huang & Bertrand M. T. Lin, 2024. "Deep Q-Networks for Minimizing Total Tardiness on a Single Machine," Mathematics, MDPI, vol. 13(1), pages 1-22, December.
    7. Alexander A. Lazarev & Nikolay Pravdivets & Frank Werner, 2020. "On the Dual and Inverse Problems of Scheduling Jobs to Minimize the Maximum Penalty," Mathematics, MDPI, vol. 8(7), pages 1-15, July.
    8. Nicholas G. Hall & Zhixin Liu, 2010. "Capacity Allocation and Scheduling in Supply Chains," Operations Research, INFORMS, vol. 58(6), pages 1711-1725, December.
    9. Joseph G. Szmerekovsky & George L. Vairaktarakis, 2006. "Maximizing project cash availability," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(4), pages 272-284, June.
    10. Nicholas G. Hall & Daniel Zhuoyu Long & Jin Qi & Melvyn Sim, 2015. "Managing Underperformance Risk in Project Portfolio Selection," Operations Research, INFORMS, vol. 63(3), pages 660-675, June.
    11. Otto, Alena & Otto, Christian & Scholl, Armin, 2013. "Systematic data generation and test design for solution algorithms on the example of SALBPGen for assembly line balancing," European Journal of Operational Research, Elsevier, vol. 228(1), pages 33-45.
    12. Yang-Kuei Lin, 2018. "Scheduling efficiency on correlated parallel machine scheduling problems," Operational Research, Springer, vol. 18(3), pages 603-624, October.
    13. Martin, Clarence H, 2009. "A hybrid genetic algorithm/mathematical programming approach to the multi-family flowshop scheduling problem with lot streaming," Omega, Elsevier, vol. 37(1), pages 126-137, February.
    14. Giorgi Tadumadze & Simon Emde & Heiko Diefenbach, 2020. "Exact and heuristic algorithms for scheduling jobs with time windows on unrelated parallel machines," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(2), pages 461-497, June.
    15. Patricia Heuser & Peter Letmathe & Matthias Schinner, 2022. "Workforce planning in production with flexible or budgeted employee training and volatile demand," Journal of Business Economics, Springer, vol. 92(7), pages 1093-1124, September.
    16. Liu, Zhixin & Lu, Liang & Qi, Xiangtong, 2018. "Cost allocation in rescheduling with machine unavailable period," European Journal of Operational Research, Elsevier, vol. 266(1), pages 16-28.
    17. Broos Maenhout & Mario Vanhoucke, 2017. "A resource type analysis of the integrated project scheduling and personnel staffing problem," Annals of Operations Research, Springer, vol. 252(2), pages 407-433, May.
    18. Tiwari, Vikram & Patterson, James H. & Mabert, Vincent A., 2009. "Scheduling projects with heterogeneous resources to meet time and quality objectives," European Journal of Operational Research, Elsevier, vol. 193(3), pages 780-790, March.
    19. Polten, Lukas & Emde, Simon, 2021. "Scheduling automated guided vehicles in very narrow aisle warehouses," Omega, Elsevier, vol. 99(C).
    20. Liu, Zhixin & Lu, Liang & Qi, Xiangtong, 2020. "Price quotation for orders with different due dates," International Journal of Production Economics, Elsevier, vol. 220(C).

    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:spr:annopr:v:161:y:2008:i:1:p:87-102:10.1007/s10479-007-0302-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.