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Mitigating Supply Chain Tardiness Risks in OEM Milk-Run Operations

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Dynamics in Logistics

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

Abstract

The objective of this study is to investigate an optimal vehicle routing scheme to perform an OEM milk-run pickup service over a regional road network. The manufacturing of components is subject to varying tardiness among suppliers when fulfilling OEM orders. This often leads to non-accomplished orders at the end of the vehicle cycle time since the transport operation, predominantly composed by random variables, must comply with a strict delivery time limit set up by the OEM company. The mathematical model searches for the optimal vehicle routing sequence, together with searching for the best tardiness tolerance level that minimizes the sum of penalty costs levied against faulty suppliers, and transport expenses.

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Acknowledgments

This research has been supported by the Brazilian CNPq Foundation, Projects 302527/2011-7 and 470899/2013-1.

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Authors and Affiliations

  1. Department of Industrial Engineering, Federal University of Santa Catarina, Florianópolis, SC, Brazil

    Antonio G. N. Novaes & Monica M. M. Luna

  2. Faculty of Civil Engineering, Unicamp - University of Campinas, Campinas, SP, Brazil

    Orlando F. Lima Jr.

  3. Itajaí Valley University, São José, SC, Brazil

    Edson T. Bez

Authors
  1. Antonio G. N. Novaes
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  2. Orlando F. Lima Jr.
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  3. Monica M. M. Luna
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  4. Edson T. Bez
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Corresponding author

Correspondence to Antonio G. N. Novaes .

Editor information

Editors and Affiliations

  1. und Logistik GmbH, BIBA - Bremer Institut für Produktion und Logistik GmbH, Bremen, Germany

    Michael Freitag

  2. University of Bremen , Bremen, Germany

    Herbert Kotzab

  3. BIBA, BIBA-Bremer Institut für Produktion und Logistik GmbH, Bremen, Germany

    Jürgen Pannek

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Novaes, A.G.N., Lima, O.F., Luna, M.M.M., Bez, E.T. (2017). Mitigating Supply Chain Tardiness Risks in OEM Milk-Run Operations. In: Freitag, M., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-45117-6_13

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  • DOI: https://doi.org/10.1007/978-3-319-45117-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45116-9

  • Online ISBN: 978-3-319-45117-6

  • eBook Packages: EngineeringEngineering (R0)

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