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A Virtual Supply Chain Model for QoS Assessment

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 391))

Abstract

A hybrid virtual supply chain model for the assessment of Quality of Service (QoS) in supply chains is being presented. Due to the large complexity of the problem domain a combined – analytical and simulation – model has been recognised as the best solution for QoS evaluation within a supply chain. The main problem of building such a model is the level of detail, which on one hand is limited by the transparency of business processes of contributing partners and on the other by the desired relevancy of the gathered results. Our model builds on data that are usually made public or are at least subject to contract terms among partners in a supply chain and provide a “good-enough” foundation for QoS evaluation.

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References

  1. Bertrand, J.W.M., Fransoo, J.C.: Modelling and simulation: Operations management research methodologies using quantitative modelling. International Journal of Operations and Production Management 22(2), 241–264 (2002)

    Article  Google Scholar 

  2. Davis, S.: Future Perfect. Addison-Wesle, Reading (1996)

    Google Scholar 

  3. Evans, J.R., Olson, D.L.: Introduction to Simulation and Risk Analysis, 2. Aufl. Prentice Hall, Upper Saddle River (2001)

    Google Scholar 

  4. Gumzej, R., Gajšek, B.: ntroducing Quality of Service Criteria into Supply Chain Management for Excellence. International Journal of Applied Logistics (IJAL) 2(1), 1–16 (2011)

    Article  Google Scholar 

  5. Gumzej, R., Lipičnik, M.: Anwendung von Methoden der Logistik und Netzplantechnik zur präzedenz- und ressourcenbeschränkten Ablaufplanung von Echtzeit-systemen. In: Fachtagung des GI/GMA-Fachausschusses Echtzeitsysteme (real-time), Boppard, 19. und 20. Software-intensive verteilte Echtzeitsysteme (In-formatik Aktuell), pp. 49–56. Springer, Heidelberg (2009)

    Google Scholar 

  6. Nolan, R.L., Sovereign, M.G.: A Recursive Optimization and Simulation Approach to Analysis with an Application to Transportation. Management Science 18(12), 676–690 (1972)

    Article  Google Scholar 

  7. SCC, Supply-Chain Operations Reference-model, Internet page (2008), http://supply-chain.org/f/SCOR90OverviewBooklet.pdf (obtained May 27, 2011)

  8. Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E.: Designing and Managing the Supply Chain: Conceptys, Strategies, and Case Studies. Irwin McGraw-Hill, New York (2000)

    MATH  Google Scholar 

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Correspondence to Roman Gumzej .

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© 2012 Springer-Verlag Berlin Heidelberg

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Gumzej, R., Gajšek, B. (2012). A Virtual Supply Chain Model for QoS Assessment. In: Unger, H., Kyamaky, K., Kacprzyk, J. (eds) Autonomous Systems: Developments and Trends. Studies in Computational Intelligence, vol 391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24806-1_12

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  • DOI: https://doi.org/10.1007/978-3-642-24806-1_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24805-4

  • Online ISBN: 978-3-642-24806-1

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