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Application of a Rule-Based Decision Support System for Improving Energy Efficiency of Passive Temperature-Controlled Transports

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Computer-based Modelling and Optimization in Transportation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 262))

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Abstract

A significant proportion of the flow of goods is transported and handled temperature-controlled. Some of these transports are carried out with an active temperature control, while other goods are transported within the scope of a passive temperature control. The project SMITH focuses the issue of passive temperature control using the example of an aluminium producer in Germany which organizes transports of liquid aluminium. The liquid aluminium and the corresponding crucibles need to be heated in a way, which guarantees the customer a delivery in a proper processing temperature. Setting the temperature is currently based on experience. The aim of SMITH is to improve the energy efficiency of passive temperature-controlled logistics. The software predicts the optimum temperature based on factors such as weather conditions. A transfer of the solution to other temperature-controlled transports enables huge energy and CO2 savings and is an important contribution of the logistics industry to climate protection.

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Acknowledgments

This work was funded by the Federal Ministry of Education and Research (BMBF) under the reference number 01LY1104 “SMITH—Improving energy efficiency of passive temperature-controlled transports”.

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Authors and Affiliations

  1. Institute of Shipping Economics and Logistics, Bremen, Germany

    Hans-Dietrich Haasis, Andreas Barz, Guido Kille, Anna Kolmykova, Lydia Schwarz & Axel Wunsch

  2. Berlin School of Economics and Law, Berlin, Germany

    Hendrik Wildebrand

Authors
  1. Hans-Dietrich Haasis
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  2. Hendrik Wildebrand
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  3. Andreas Barz
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  4. Guido Kille
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  5. Anna Kolmykova
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  6. Lydia Schwarz
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  7. Axel Wunsch
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Corresponding author

Correspondence to Hans-Dietrich Haasis .

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Editors and Affiliations

  1. UGEI-INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal

    Jorge Freire de Sousa

  2. Department of Civil, Environmental and Architectural Engineering, University of Padova, Padova, Italy

    Riccardo Rossi

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Haasis, HD. et al. (2014). Application of a Rule-Based Decision Support System for Improving Energy Efficiency of Passive Temperature-Controlled Transports. In: de Sousa, J., Rossi, R. (eds) Computer-based Modelling and Optimization in Transportation. Advances in Intelligent Systems and Computing, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-319-04630-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-04630-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04629-7

  • Online ISBN: 978-3-319-04630-3

  • eBook Packages: EngineeringEngineering (R0)

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