NDLI: Compound method of solving logistics routes allocation

Content Provider	Springer Nature Link
Author	Le, Mei long Kohmura, Toshitake
Copyright Year	2010
Abstract	The logistics routes allocation discusses optimal routing from origin to destination through distribution center (DC) on condition that both transport and distribution cost should be taken into account. The problem can be solved by the iterative non-linear programming (INLP), in which the transport cost and distribution cost are assumed to be linear and non-linear, respectively. The method works well in most situations. However, when the distribution cost predominates in the total cost, the method fails, and the solution given by the method is not a global minimum but a local minimum. Further study reveals that the INLP method is still a kind of transport routing method like vehicle routing problem (VRP), and the failure of the method must happen when the distribution cost is a major one. On such a condition, further computation on other extreme points, which physically means forcing all routes to pass through one DC one by one, should be carried out. By comparing values on these extreme points, the global optimal solution can be got. The method has both theoretical and practical meaning. In theoretical field, it might force us to seek new method; in practice, it reminds us to do such kind of check when the transport distance is short and warehousing work is major that often happens in local consolidation center or de-vanning center.
Starting Page	119
Ending Page	123
Page Count	5
File Format	PDF
ISSN	10071172
Journal	Journal of Shanghai Jiaotong University (Science)
Volume Number	15
Issue Number	1
e-ISSN	19958188
Language	English
Publisher	Shanghai Jiaotong University Press
Publisher Date	2010-02-04
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	operation optimization logistics optimization algorithm for non-linear programming transportation and warehousing Life Sciences Architecture Computer Science Materials Science Electrical Engineering
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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