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BENEFITS OF DOCUMENT

Einfuehrung in Little's Law
Verstehen, wie Little's Law in der Optimierung von Prozessen eingesetzt werden kann
Verstehen der Rolle von Little's Law in Prozessen im wissensbasierten Kontext

DOCUMENT DESCRIPTION

Little's Law, ist eine bedeutende Gesetzmaessigkeit in der Warteschlangentheorie. Es wurde 1961 von John D. C. Little bewiesen.

Littles Gesetz besagt, dass die durchschnittliche Anzahl von Kunden in einem Wartesystem, welches sich in einem stabilen Zustand befindet, gleich dem Produkt ihrer durchschnittlichen Ankunftsrate und ihrer durchschnittlichen Verweildauer im System ist.

Obwohl dies intuitiv sinnvoll erscheint, ist es ein beachtenswertes Ergebnis: Es impliziert, dass dieses Verhalten vollkommen unabhaengig von den benutzten Wahrscheinlichkeitsverteilungen ist und somit keine Annahmen ueber die Verteilung der Ankunftszeiten oder die Abfertigungsdisziplin getroffen werden muessen.

Little's Law ist unter anderem im Kontext einer Prozessoptimierung von Bedeutung. Insbesondere im Kontext einer Prozesssteuerung basierend auf Kanban findet es Anwendung als wichtiger Ansatz in Bezug auf die Optimierung von Prozessen und Durchsatz.

Inhalt:
* Historische Einfuehrung in Little's Law
* Little's Law und seine Elemente
* Notwendige Voraussetzungen
* Little's Law im wissensbasierten Kontext

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Source: Einfuehrung in Little's Law (German Language) PowerPoint document

Einfuehrung in Little's Law (German Language)

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