Analytics and machine learning in scheduling and routing research
1. Background This special issue largely originated from various discussions during several
cross-domain, multi-disciplinary conferences and workshops, especially the 9th …
cross-domain, multi-disciplinary conferences and workshops, especially the 9th …
Production planning and scheduling using machine learning and data science processes
D Modesti, P Henrique, E Carvalhar Fernandes… - …, 2020 - ebooks.iospress.nl
Increasing manufacturing efficiency has been a constant challenge since the First Industrial
Revolution. What started as mechanization and turned into electricity-driven operations has …
Revolution. What started as mechanization and turned into electricity-driven operations has …
A real-world transport scheduler applied to Australian sugarcane industry
This paper describes a new approach to develop a real-world automated scheduler
applicable for Australian sugarcane industry. In Australia, the transport sector plays a critical …
applicable for Australian sugarcane industry. In Australia, the transport sector plays a critical …
Introduction to the special issue on combining optimization and machine learning: Application in vehicle routing, network design and crew scheduling
Several families of core problems in transportation and logistics such as vehicle routing,
facility location, and crew scheduling remain formidably challenging to solve for the …
facility location, and crew scheduling remain formidably challenging to solve for the …
Vehicle routing scheduling using an enhanced hybrid optimization approach
B Vahdani, R Tavakkoli-Moghaddam… - Journal of Intelligent …, 2012 - Springer
Cross docking play an indispensable role in streamlining the efficiency and effectiveness of
any supply chain operations. Owing to the need to reduce transportation lead time and …
any supply chain operations. Owing to the need to reduce transportation lead time and …
Intelligent manufacturing/production systems: Modeling, algorithms, and optimization
Real-world manufacturing problems are heavily influenced by various uncertain factors, and
in order to improve the efficiency of such systems, different optimization techniques such as …
in order to improve the efficiency of such systems, different optimization techniques such as …
Choosing solution strategies for scheduling automated guided vehicles in production using machine learning
F Schweitzer, G Bitsch, L Louw - Applied sciences, 2023 - mdpi.com
Featured Application The artifact developed in this article is applicable to AGV and
production planning optimization problems that align with the principles of the job-shop …
production planning optimization problems that align with the principles of the job-shop …
Preface to the Special Issue on “Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling”
ZT Kosztyán, Z Kovács - Mathematics, 2023 - mdpi.com
In the last decade, the Industrial Revolution 4.0 brought flexible supply chains and flexible
design projects to the fore. Nevertheless, the recent pandemic, the accompanying economic …
design projects to the fore. Nevertheless, the recent pandemic, the accompanying economic …
Scheduling Optimization in Logistics 4.0
S el Hamdi, A Abouabdellah… - 2020 IEEE 13th …, 2020 - ieeexplore.ieee.org
The advancement of technological innovation and the growth of the variety of customer
demands, promote the evolution of traditional challenges that pushes the industrial sector to …
demands, promote the evolution of traditional challenges that pushes the industrial sector to …
[引用][C] Integrating Production Scheduling and Vehicle Routing Decisions at the Operational Decision Level: A Review and Discussion Extension
As a method of reducing costs and enhancing service quality, companies integrate
production and distribution scheduling to improve performance. Thirty-two articles published …
production and distribution scheduling to improve performance. Thirty-two articles published …