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A Method to Estimate the Accumulated Delivery Time Uncertainty in Supply Networks

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Dynamics in Logistics

Part of the book series: Lecture Notes in Logistics ((LNLO))

Abstract

Today, value creation within the manufacturing industry is realised in supply networks. A supply network is considered as a collaboration of suppliers and a manufacture (Original Equipment Manufacturer-OEM) to reach a common objective. Firms can now decide which parts of the supply network they will manage directly and which they will be out-source activities. One of the supply network’s features is outsourcing, and it makes a new source of uncertainty. This uncertainty has an impact on supply network performance. Nowadays, researchers have recognised the importance of analysing the delivery time uncertainty in supply networks. Delivery time uncertainty in the OEM, results from the accumulation of individual uncertainties of the suppliers in the network. The supply networks consist of the combination of basic types of network such as linear, star, tree, etc. The types of network have an essential impact on the accumulation of the individual uncertainties. In this paper, a method to calculate the accumulation of the individual uncertainties based on the network type is presented. Finally, an example is given to show the application of this method to the all types of supply network with four nodes.

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Notes

  1. 1.

    Probability Density Function.

References

  • Barker J (2004) ‘Using dynamic information in the supply network. In: Proceedings of the 8th international conference on manufacturing & management: operations management & advanced technology: integration for Success, Australia, pp 1–10

    Google Scholar 

  • Christopher M (2000) The agile supply chain: competing in volatile markets. Ind Mark Manage 29(1):37–44

    Article  MathSciNet  Google Scholar 

  • Guiffrida AL, Jaber MY (2008) Managerial and economic impacts of reducing delivery variance in the supply chain. Appl Math Model 32:2149–2161

    Article  MathSciNet  MATH  Google Scholar 

  • JCGM Member Organizations (2008) ‘Evaluation of measurement data—Guide to the expression of uncertainty in measurement (GUM)-GUM 1995 with minor corrections’, JCGM

    Google Scholar 

  • Lerder PJ (1997) Pricing, production, scheduling, and delivery-time competition. Int J Oper Res 45(3):407–420

    Article  Google Scholar 

  • Pathak SD, Dilts DD, Biswas G (2007) On the evolutionary dynamics of supply network topologies. IEEE Trans Eng Manage 54(4):662–672

    Article  Google Scholar 

  • Safaei M, Seifert M, Thoben KD (2010) Proposed a method for increasing the delivery performance in dynamic supply network. World Acad Sci Eng Technol 70:620–623

    Google Scholar 

  • Safaei M, Seifert M, Thoben KD (2011) Toward a better understanding of the network type impact on delivery time uncertainty in supply networks’, MITIP 2011. In: Proceedings of the 13th international conference on modern information technology in the innovation processes of industrial enterprises, pp 1–11

    Google Scholar 

  • Thoben KD, Jagdev H (2001) Typological issues in enterprise networks. J Prod Plan Control 12(5):421–436

    Article  Google Scholar 

  • Urban TL (2009) Establishing delivery guarantee policies. Eur J Oper Res 196:959–967

    Article  MATH  Google Scholar 

  • Vanany I, Zailani S, Pujawan N (2009) Supply chain risk management: literature review and future research. Int J Inf Syst Supply Chain Manage 2(1):16–33

    Article  Google Scholar 

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Correspondence to Mehdi Safaei .

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© 2013 Springer-Verlag Berlin Heidelberg

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Safaei, M., Issa, S., Seifert, M., Thoben, KD., Lang, W. (2013). A Method to Estimate the Accumulated Delivery Time Uncertainty in Supply Networks. In: Kreowski, HJ., Scholz-Reiter, B., Thoben, KD. (eds) Dynamics in Logistics. Lecture Notes in Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35966-8_28

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  • DOI: https://doi.org/10.1007/978-3-642-35966-8_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35965-1

  • Online ISBN: 978-3-642-35966-8

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