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Improving Production Logistics Through Materials Flow Control and Lot Splitting

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Computational Logistics (ICCL 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9855))

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Abstract

Competitive advantage of make-to-order manufacturing companies is highly dependent on their capability to offer short delivery times and on time delivery. This calls for effective production and materials flow control – a core part of production logistics. This paper applies discrete simulation to study the delivery performance of a make-to-order manufacturing system configured as a general flow shop, when operated under two card-based material flow control mechanisms: CONWIP and GKS. The influence of two lot splitting strategies on the performance of these mechanisms is also evaluated. Results show that GKS clearly outperforms CONWIP and that splitting strategies have a positive impact on the performance of both mechanisms. GKS also showed to be particularly robust to the variation of the number of production authorisation cards used. This, together with the fact that the card-based mechanisms require little data handling and simplify production control, makes GKS attractive for practical application in make-to-order companies.

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Acknowledgements

This study had the financial support of COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013

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Authors and Affiliations

  1. Department of Production and Systems, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal

    Catarina Gomes, Andreia Ribeiro, João Freitas, Luís Dias, Guilherme Pereira, António Vieira & Sílvio Carmo-Silva

  2. Instituto Politécnico de Castelo Branco, Av. Empresário, 6000-767, Castelo Branco, Portugal

    Nuno O. Fernandes

Authors
  1. Catarina Gomes
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  2. Andreia Ribeiro
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  3. João Freitas
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  4. Luís Dias
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  5. Guilherme Pereira
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  6. António Vieira
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  7. Nuno O. Fernandes
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  8. Sílvio Carmo-Silva
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Corresponding author

Correspondence to Nuno O. Fernandes .

Editor information

Editors and Affiliations

  1. Faculdade de Ciências da Universidade de Lisboa, Lisbon, Portugal

    Ana Paias

  2. University of Vienna , Vienna, Austria

    Mario Ruthmair

  3. University of Hamburg , Hamburg, Hamburg, Germany

    Stefan Voß

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Gomes, C. et al. (2016). Improving Production Logistics Through Materials Flow Control and Lot Splitting. In: Paias, A., Ruthmair, M., Voß, S. (eds) Computational Logistics. ICCL 2016. Lecture Notes in Computer Science(), vol 9855. Springer, Cham. https://doi.org/10.1007/978-3-319-44896-1_29

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  • DOI: https://doi.org/10.1007/978-3-319-44896-1_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44895-4

  • Online ISBN: 978-3-319-44896-1

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