Model-based potential analysis of the distribution logistics: a case study

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Model-based potential analysis of the distribution logistics: a case study. / Becker, Julian; Görke, Matthias; Felix, Carolin et al.

in: Production Planning & Control. The Management of Operations, Jahrgang 27, Nr. 9, 03.07.2016, S. 698-707.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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Bibtex

@article{4ae5ec5e774247cd8dc4fb91f467e72b,
title = "Model-based potential analysis of the distribution logistics:: a case study",
abstract = "The design of its distribution logistics has a decisive influence on a company?s logistical costs and performance. They therefore make an essential contribution to corporate success. This article describes a method for analysing the potential of distribution logistics in terms of logistical costs and performance. In contrast to previous procedures of business process re-engineering, this method maps distribution logistics holistically under variable distribution structures. The article is focused on the approach and results of a case study in a multinational manufacturer of propulsion and automation technologies for machine construction and systems engineering. The developed method is distinguished by a high degree of practicality and applicability. It will contribute to a more efficient design of distribution logistics.",
keywords = "Engineering, Distribution logistics, supply chain management, potential analyses",
author = "Julian Becker and Matthias G{\"o}rke and Carolin Felix and Matthias Schmidt",
note = "Publisher Copyright: {\textcopyright} 2016 Informa UK Limited, trading as Taylor & Francis Group.",
year = "2016",
month = jul,
day = "3",
doi = "10.1080/09537287.2016.1166279",
language = "English",
volume = "27",
pages = "698--707",
journal = "Production Planning and Control",
issn = "0953-7287",
publisher = "Taylor & Francis",
number = "9",

}

RIS

TY - JOUR

T1 - Model-based potential analysis of the distribution logistics:

T2 - a case study

AU - Becker, Julian

AU - Görke, Matthias

AU - Felix, Carolin

AU - Schmidt, Matthias

N1 - Publisher Copyright: © 2016 Informa UK Limited, trading as Taylor & Francis Group.

PY - 2016/7/3

Y1 - 2016/7/3

N2 - The design of its distribution logistics has a decisive influence on a company?s logistical costs and performance. They therefore make an essential contribution to corporate success. This article describes a method for analysing the potential of distribution logistics in terms of logistical costs and performance. In contrast to previous procedures of business process re-engineering, this method maps distribution logistics holistically under variable distribution structures. The article is focused on the approach and results of a case study in a multinational manufacturer of propulsion and automation technologies for machine construction and systems engineering. The developed method is distinguished by a high degree of practicality and applicability. It will contribute to a more efficient design of distribution logistics.

AB - The design of its distribution logistics has a decisive influence on a company?s logistical costs and performance. They therefore make an essential contribution to corporate success. This article describes a method for analysing the potential of distribution logistics in terms of logistical costs and performance. In contrast to previous procedures of business process re-engineering, this method maps distribution logistics holistically under variable distribution structures. The article is focused on the approach and results of a case study in a multinational manufacturer of propulsion and automation technologies for machine construction and systems engineering. The developed method is distinguished by a high degree of practicality and applicability. It will contribute to a more efficient design of distribution logistics.

KW - Engineering

KW - Distribution logistics

KW - supply chain management

KW - potential analyses

UR - http://www.scopus.com/inward/record.url?scp=84963611495&partnerID=8YFLogxK

U2 - 10.1080/09537287.2016.1166279

DO - 10.1080/09537287.2016.1166279

M3 - Journal articles

VL - 27

SP - 698

EP - 707

JO - Production Planning and Control

JF - Production Planning and Control

SN - 0953-7287

IS - 9

ER -

DOI