Two-Echelon System Stochastic Optimization with R and CUDA

Parallelizing of the supply chain simulator is considered in this paper. The simulator is a key element of the algorithm optimizing inventory levels and order sizes in a two-echelon logistic system. The mode of operation of the logistic system and the optimization problem are defined first. Then, th...

Full description

Saved in:
Bibliographic Details
Published inParallel Processing and Applied Mathematics Vol. 10777; pp. 254 - 264
Main Authors Andrzejewski, Witold, Drozdowski, Maciej, Mu, Gang, Sun, Yong Chao
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
CUDA
Simulation-based optimization
Two-echelon problem
Online AccessGet full text
ISBN9783319780238
3319780239
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-78024-5_23

Cover

More Information
Summary:Parallelizing of the supply chain simulator is considered in this paper. The simulator is a key element of the algorithm optimizing inventory levels and order sizes in a two-echelon logistic system. The mode of operation of the logistic system and the optimization problem are defined first. Then, the inventory optimization algorithm is introduced. Parallelization for CUDA platform is presented. Benchmarking of the parallelized code demonstrates high efficiency of the software hybrid.
ISBN:9783319780238
3319780239
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-78024-5_23