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  • 1
    Online Resource
    Online Resource
    KIT Scientific Publishing
    UID:
    almahu_9949711110902882
    Format: 1 electronic resource (XXIV, 222 p. p.)
    ISBN: 1000083491
    Series Statement: Wissenschaftliche Berichte des Instituts für Fördertechnik und Logistiksysteme des Karlsruher Instituts für Technologie
    Content: Lean management describes a set of methods combined with a management philosophy which aims at eliminating waste in logistics processes. In production logistics, lean is already widespread and applied successfully. Research has shown that lean also works in a warehousing environment. In transport logistics, lean is still at a low level of maturity in both research and practice. This work contributes to closing this gap by introducing Heijunka leveling to transport logistics.
    Note: English
    Additional Edition: ISBN 3-7315-0806-0
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    edocfu_9959145947402883
    Format: 1 electronic resource (XXIV, 196 p. p.)
    ISBN: 1000083492
    Series Statement: Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik
    Content: This work provides novel robust and regularized algorithms for parameter estimation with applications in vehicle tractive force prediction and mass estimation. Given a large record of real world data from test runs on public roads, recursive algorithms adjusted the unknown vehicle parameters under a broad variation of statistical assumptions for two linear gray-box models.
    Note: English
    Additional Edition: ISBN 3-7315-0807-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    almahu_9949711100602882
    Format: 1 electronic resource (XXIV, 196 p. p.)
    ISBN: 1000083492
    Series Statement: Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik
    Content: This work provides novel robust and regularized algorithms for parameter estimation with applications in vehicle tractive force prediction and mass estimation. Given a large record of real world data from test runs on public roads, recursive algorithms adjusted the unknown vehicle parameters under a broad variation of statistical assumptions for two linear gray-box models.
    Note: English
    Additional Edition: ISBN 3-7315-0807-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    UID:
    edoccha_9959145947402883
    Format: 1 electronic resource (XXIV, 196 p. p.)
    ISBN: 1000083492
    Series Statement: Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik
    Content: This work provides novel robust and regularized algorithms for parameter estimation with applications in vehicle tractive force prediction and mass estimation. Given a large record of real world data from test runs on public roads, recursive algorithms adjusted the unknown vehicle parameters under a broad variation of statistical assumptions for two linear gray-box models.
    Note: English
    Additional Edition: ISBN 3-7315-0807-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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