Resilience Evaluation of Entropy Regularized Logistic Networks with Probabilistic Cost

The demand for resilient logistics networks has increased because of recent disasters. With regard to optimization problems, entropy regularization is a powerful tool for the diversification of a solution. In this study, we devised a method for designing a resilient logistics network based on entrop...

Full description

Saved in:
Bibliographic Details
Published in:IFAC-PapersOnLine 2023-01, Vol.56 (2), p.3106-3111
Main Authors: Oishi, Koshi, Hashizume, Yota, Jimbo, Tomohiko, Kaji, Hirotaka, Kashima, Kenji
Format: Article
Language:English
Subjects:
Entropy
Logistics network
Optimal transport
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The demand for resilient logistics networks has increased because of recent disasters. With regard to optimization problems, entropy regularization is a powerful tool for the diversification of a solution. In this study, we devised a method for designing a resilient logistics network based on entropy regularization. Moreover, we developed a method for analytical resilience criteria to reduce the ambiguity of resilience. First, we modeled the logistics network, including factories, distribution bases, and sales outlets in an efficient framework using entropy regularization. Next, we formulated a resilience criterion based on probabilistic cost and Kullback–Leibler divergence. Finally, the proposed method was implemented using a simple logistics network, and the resilience of three logistics plans designed using entropy regularization was demonstrated. Consequently, it is confirmed that our criteria can be used to evaluate resilience to logistics disruptions.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2023.10.1442