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  • 1
    Book
    Book
    Design for stability in transport logistics - definition, concepts and evaluation (2018)
    Karlsruhe : KIT Scientific Publishing
    Details
    UID:
    b3kat_BV046334341
    Format: 258 Seiten , Illustrationen , 21 cm x 14.8 cm, 480 g
    ISBN: 9783731508069 , 3731508060
    Series Statement: Wissenschaftliche Berichte des Instituts für Fördertechnik und Logistiksysteme des Karlsruher Instituts für Technologie Band 91
    Note: Dissertation Karlsruher Institut für Technologie, KIT 2018
    Additional Edition: Erscheint auch als Online-Ausgabe 10.5445/KSP/1000083491
    Language: English
    Keywords: Logistik ; Transport ; Lean Management ; Beschaffungslogistik ; Hochschulschrift
    URL: Volltext  (Kostenfrei)
    URL: Inhaltstext
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    Fulltext
    EUV Frankfurt get availability status
  • 2
    Online Resource
    Online Resource
    Design for Stability in Transport Logistics - Definition, Concepts and Evaluation (2018)
    KIT Scientific Publishing
    Details
    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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    Online Resource
    HU Berlin
  • 3
    Online Resource
    Online Resource
    Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation (2018)
    KIT Scientific Publishing
    Details
    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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    Online Resource
    FU Berlin
  • 4
    Online Resource
    Online Resource
    Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation (2018)
    KIT Scientific Publishing
    Details
    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 ...
    Online Resource
    HU Berlin
  • 5
    Online Resource
    Online Resource
    Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation (2018)
    KIT Scientific Publishing
    Details
    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 ...
    Online Resource
    Charité
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