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Assessment and Simulation Tools for Sustainable Energy Systems pp 357–379Cite as

Value Stream Maps for Industrial Energy Efficiency

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Part of the book series: Green Energy and Technology ((GREEN,volume 129))

Abstract

Lean thinking is an engineering approach to avoid non-value adding tasks or processes in manufacturing. Most of the lean studies in the energy field are focused on savings in manufacturing processes. This paper suggests a future-oriented energy value stream mapping approach that aims to improve energy efficiency in small- and medium-sized manufacturing companies. Energy value stream mapping is a graphical technique that allows identifying the level of energy use and, thereby, discovering saving opportunities at each step of different processes either in production or in facility support. To analyze the possible outcomes of improvement options, future scenarios are developed using Bayesian networks. The suggested model can be used not only for diagnostic purposes but also for energy budgeting and saving measures. An application is given to demonstrate the use of energy value stream maps (E-VSMs).

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Author information

Authors and Affiliations

  1. Energy Institute, İstanbul Technical University, Istanbul, Turkey

    Cem Keskin

  2. Industrial Engineering Department, İstanbul Technical University, Istanbul, Turkey

    Umut Asan & Gulgun Kayakutlu

Authors
  1. Cem Keskin
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  2. Umut Asan
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  3. Gulgun Kayakutlu
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Corresponding author

Correspondence to Gulgun Kayakutlu .

Editor information

Editors and Affiliations

  1. Department of Economics, Management and Society and Institutions, University of Molise, Campobasso, Italy

    Fausto Cavallaro

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Keskin, C., Asan, U., Kayakutlu, G. (2013). Value Stream Maps for Industrial Energy Efficiency. In: Cavallaro, F. (eds) Assessment and Simulation Tools for Sustainable Energy Systems. Green Energy and Technology, vol 129. Springer, London. https://doi.org/10.1007/978-1-4471-5143-2_17

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  • DOI: https://doi.org/10.1007/978-1-4471-5143-2_17

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5142-5

  • Online ISBN: 978-1-4471-5143-2

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