IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v135y2012i1p177-189.html
   My bibliography  Save this article

Design and application of task administration protocols for collaborative production and service systems

Author

Listed:
  • Sang Ko, Hoo
  • Nof, Shimon Y.

Abstract

This research investigates the design of Task Administration Protocols (TAPs) for effective task allocation and administration in collaborative production/service systems. Customer-focused and concurrent engineering service systems process tasks more effectively as a result of the power of collaboration among multiple participants. In such environments, however, complex situations might arise that require decisions that cannot be handled by simple Coordination Protocols (CPs). To design an effective control mechanism to manage complex situations, this research identifies basic problems in collaborative task administration and proposes the design framework of protocols to solve the problems. In the framework, TAPs consist of three component-protocols: (1) Task Requirement Analysis Protocol, (2) Shared Resource Allocation Protocol, and (3) Synchronization and Time-Out Protocol. Each component protocol is activated to address priority-based allocation, resource-aware allocation, and task re-allocation at a different task administration context, ranging from task initialization, task allocation, to task monitoring, respectively. To analyze feasibility and effectiveness of the proposed design, TAPs are applied to two collaborative production/service systems. Simulations are conducted to evaluate the performance achieved by different TAPs and non-TAP CPs under various load conditions. The results show that there is a significant performance improvement by TAPs over CPs in most cases, e.g., 84% vs. 64% in terms of task completion ratio. The advantage of TAPs can be explained by their design with relatively higher level of collaborative intelligence, addressing more complex control logic than non-TAP CPs.

Suggested Citation

  • Sang Ko, Hoo & Nof, Shimon Y., 2012. "Design and application of task administration protocols for collaborative production and service systems," International Journal of Production Economics, Elsevier, vol. 135(1), pages 177-189.
  • Handle: RePEc:eee:proeco:v:135:y:2012:i:1:p:177-189
    DOI: 10.1016/j.ijpe.2011.06.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527311002702
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2011.06.005?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. Wellman, Michael P. & Walsh, William E. & Wurman, Peter R. & MacKie-Mason, Jeffrey K., 2001. "Auction Protocols for Decentralized Scheduling," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 271-303, April.
    2. Anussornnitisarn, Pornthep & Nof, Shimon Y. & Etzion, Opher, 2005. "Decentralized control of cooperative and autonomous agents for solving the distributed resource allocation problem," International Journal of Production Economics, Elsevier, vol. 98(2), pages 114-128, November.
    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. Yilmaz, Ibrahim & Yoon, Sang Won, 2020. "Dynamic-distributed decisions and sharing protocol for fair resource sharing in collaborative network," International Journal of Production Economics, Elsevier, vol. 226(C).
    2. Jahanpour, Ehsan & Ko, Hoo Sang & Nof, Shimon Y., 2016. "Collaboration protocols for sustainable wind energy distribution networks," International Journal of Production Economics, Elsevier, vol. 182(C), pages 496-507.
    3. Jayaram, Jayanth & Xu, Kefeng, 2013. "The relative influence of external versus internal integration on plant performance in China," International Journal of Production Economics, Elsevier, vol. 146(1), pages 59-69.
    4. Moghaddam, Mohsen & Nof, Shimon Y., 2014. "Combined demand and capacity sharing with best matching decisions in enterprise collaboration," International Journal of Production Economics, Elsevier, vol. 148(C), pages 93-109.
    5. Yew Chee Chew & Siti Rohaida Mohamed Zainal, 2024. "A Sustainable Collaborative Talent Management Through Collaborative Intelligence Mindset Theory: A Systematic Review," SAGE Open, , vol. 14(2), pages 21582440241, June.
    6. Moghaddam, Mohsen & Nof, Shimon Y., 2016. "Real-time optimization and control mechanisms for collaborative demand and capacity sharing," International Journal of Production Economics, Elsevier, vol. 171(P4), pages 495-506.
    7. Menéndez-Caravaca, Eloísa & Bueno, Salvador & Gallego, M. Dolores, 2021. "Exploring the link between free and open source software and the collaborative economy: A Delphi-based scenario for the year 2025," Technological Forecasting and Social Change, Elsevier, vol. 173(C).

    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. Adhau, Sunil & Mittal, M.L. & Mittal, Abhinav, 2013. "A multi-agent system for decentralized multi-project scheduling with resource transfers," International Journal of Production Economics, Elsevier, vol. 146(2), pages 646-661.
    2. Schnizler, Björn & Neumann, Dirk & Veit, Daniel & Napoletano, Mauro & Catalano, Michele & Gallegati, Mauro & Reinicke, Michael & Streitberger, Werner & Eymann, Torsten, 2005. "Environmental analysis for application layer networks," Bayreuth Reports on Information Systems Management 1, University of Bayreuth, Chair of Information Systems Management.
    3. Agnetis, Alessandro & Chen, Bo & Nicosia, Gaia & Pacifici, Andrea, 2019. "Price of fairness in two-agent single-machine scheduling problems," European Journal of Operational Research, Elsevier, vol. 276(1), pages 79-87.
    4. Allesandro Agnetis & Pitu B. Mirchandani & Dario Pacciarelli & Andrea Pacifici, 2004. "Scheduling Problems with Two Competing Agents," Operations Research, INFORMS, vol. 52(2), pages 229-242, April.
    5. J. Behnamian & S. M. T. Fatemi Ghomi, 2016. "A survey of multi-factory scheduling," Journal of Intelligent Manufacturing, Springer, vol. 27(1), pages 231-249, February.
    6. Wang, Xiuli & Geng, Sujie & Cheng, T.C.E., 2018. "Negotiation mechanisms for an order subcontracting and scheduling problem," Omega, Elsevier, vol. 77(C), pages 154-167.
    7. Eymann, Torsten & Reinicke, Michael & Streitberger, Werner & Schnizler, Björn & Veit, Daniel & Freitag, Felix & Chao, Isaac & Chacin, Pablo & Neumann, Dirk, 2005. "Theoretical and Computational Basis for Economical Ressource Allocation in Application Layer Networks - Annual Report Year 1," Bayreuth Reports on Information Systems Management 7, University of Bayreuth, Chair of Information Systems Management.
    8. Farnia, Farnoush & Frayret, Jean-Marc & Beaudry, Catherine & Lebel, Luc, 2015. "Time-based combinatorial auction for timber allocation and delivery coordination," Forest Policy and Economics, Elsevier, vol. 50(C), pages 143-152.
    9. Jawad Abrache & Teodor Crainic & Michel Gendreau & Monia Rekik, 2007. "Combinatorial auctions," Annals of Operations Research, Springer, vol. 153(1), pages 131-164, September.
    10. Linda Zhang & Carman Lee & Shuzhu Zhang, 2016. "An integrated model for strategic supply chain design: Formulation and ABC-based solution approach," Post-Print hal-01744868, HAL.
    11. Anosike, A.I. & Zhang, D.Z., 2009. "An agent-based approach for integrating manufacturing operations," International Journal of Production Economics, Elsevier, vol. 121(2), pages 333-352, October.
    12. Holzman, Ron & Kfir-Dahav, Noa & Monderer, Dov & Tennenholtz, Moshe, 2004. "Bundling equilibrium in combinatorial auctions," Games and Economic Behavior, Elsevier, vol. 47(1), pages 104-123, April.
    13. Anouar El Haji & Sander Onderstal, 2019. "Trading places: An experimental comparison of reallocation mechanisms for priority queuing," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(4), pages 670-686, November.
    14. Kucukkoc, Ibrahim & Zhang, David Z., 2014. "Mathematical model and agent based solution approach for the simultaneous balancing and sequencing of mixed-model parallel two-sided assembly lines," International Journal of Production Economics, Elsevier, vol. 158(C), pages 314-333.
    15. Yubai Zhang & Zhao Zhang & Zhaohui Liu, 0. "The price of fairness for a two-agent scheduling game minimizing total completion time," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-19.
    16. Elendner, Thomas, 2003. "Scheduling and combinatorial auctions: Lagrangean relaxation-based bonds for the WJISP," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 570, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    17. Tolga Aydinliyim & George L. Vairaktarakis, 2010. "Coordination of Outsourced Operations to Minimize Weighted Flow Time and Capacity Booking Costs," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 236-255, January.
    18. Crescenzio Gallo & Giancarlo De Stasio & Cristina Di Letizia, 2006. "A Data Set Generation Algorithm in Combinatorial Auctions," Quaderni DSEMS 01-2006, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    19. Xianghua Chu & Su Xiu Xu & Fulin Cai & Jiansheng Chen & Quande Qin, 2019. "An efficient auction mechanism for regional logistics synchronization," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2715-2731, October.
    20. Sven de Vries & Rakesh V. Vohra, 2003. "Combinatorial Auctions: A Survey," INFORMS Journal on Computing, INFORMS, vol. 15(3), pages 284-309, August.

    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:proeco:v:135:y:2012:i:1:p:177-189. 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/locate/ijpe .

    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.