Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)

An Analysis of the Paradox of Constant Increasing Activity in Logistics Network Planning

Authors
Feng Kong, Bin Li
Corresponding Author
Feng Kong
Available Online June 2017.
DOI
10.2991/msmi-17.2017.19How to use a DOI?
Keywords
component; logistics network; maximum path length paradox; minimum network constraints
Abstract

At present our country a lot of good logistics network, according to the user's own area can be related information through their own logistics network logistics network is to find the area logistics network based on the quantity, mainly to provide logistics information in the area. At present, most of the related theories are the paradox of constant increase and the paradox of the longest path length. In this paper, the method of minimum network constraint is used to prove that the maximum path length paradox does not exist in the logistics network planning.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
June 2017
ISBN
10.2991/msmi-17.2017.19
ISSN
2352-5428
DOI
10.2991/msmi-17.2017.19How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Feng Kong
AU  - Bin Li
PY  - 2017/06
DA  - 2017/06
TI  - An Analysis of the Paradox of Constant Increasing Activity in Logistics Network Planning
BT  - Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
PB  - Atlantis Press
SP  - 80
EP  - 83
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-17.2017.19
DO  - 10.2991/msmi-17.2017.19
ID  - Kong2017/06
ER  -