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Endosymbiotic Evolutionary Algorithm for an Integrated Model of the Vehicle Routing and Truck Scheduling Problem with a Cross-Docking System
Volume 30, Issue 3 (2019), pp. 481–502
Pub. online: 1 January 2019      Type: Research Article      Open accessOpen Access
Received
1 March 2018
Accepted
1 March 2019
Published
1 January 2019

Abstract

This paper presents a model which integrates inbound and outbound logistics with a crossdocking system. This model integrates the problem of routing inbound vehicles between suppliers and cross-docks and outbound vehicles between cross-docks and retailers, considering logistics costs and the products properties. This model aims to minimize the total cost by optimizing assignment of products to suppliers and retailers and operations of inbound and outbound vehicles. We developed an endosymbiotic evolutionary algorithm, which yields good performance in concurrent searches for the solutions of multiple subproblems and validate the performance using several numerical examples.

References

 
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Biographies

Lee Kun-Young

K.-Y. Lee is an engineer at SK Hynix, Gyeonggi-do, Korea. He received his BS in industrial engineering from Konkuk University, Seoul, in 2016. His research interests are in operations research, production management, supply chain management and algorithm.

Lim Ji-Soo

J.-S. Lim is an engineer at T-Robotics, Gyeonggi-do, Korea. He received his BS in industrial engineering from Konkuk University, Seoul, in 2016. His research interests are in quality management, production management, supply chain management and algorithm.

Ko Sung-Seok
ssko@konkuk.ac.kr

S.-S. Ko is a professor in the Department of Industrial Engineering at Konkuk University, Seoul, Korea. He received his PhD in 2003 and MS in 1999 from the School of Industrial and Systems Engineering at the Georgia Institute of Technology and a BS in industrial engineering from Hanyang University, Seoul. His research interests are in operations research, production and inventory control, parallel processing, collaboration systems and financial engineering.


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Copyright
© 2019 Vilnius University
Open access article under the CC BY license.

Keywords
logistics cross-docking vehicle routing truck scheduling endosymbiotic evolutionary algorithm

Funding
This paper was supported by Konkuk University in 2015.

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