A software tool for optimizing intra-logistic activities Chapter

abstract

• 2018 Elsevier B.V. Digital manufacturing promotes the use of innovative technologies in the global market landscape and provides effective and efficient Supply Chain Management Systems. The purpose of this research is to contribute to the automation of an industrial warehouse by elaborating a novel software simulation tool for solving a classical NP-hard optimization problem, the Capacitated Vehicle Routing Problem with Multiple Trips (CVRPMT). The software tool promotes the use of Automated Guided Vehicles (AGVs) in industrial facility layouts and is based on an existing software framework, developed in the C# programming language. At this study we first formulate the mathematical model for the CVRPMT, we implement a hybrid metaheuristic Ant Colony Optimization (ACO) algorithm and develop a friendly Graphical User Interface (GUI) for scheduling and monitoring the AGVs activities.

authors

• Iakovou, Eleftherios

author list (cited authors)

• Poulimenos, D., Bechtsis, D., Vlachos, D., & Iakovou, E.

citation count

• 0

complete list of authors

• Poulimenos, Dimitrios||Bechtsis, Dimitrios||Vlachos, Dimitrios||Iakovou, Eleftherios

Book Title

• 28th European Symposium on Computer Aided Process Engineering

publication date

• January 2018

publisher

• Elsevier  Publisher

published in

• Computer Aided Chemical Engineering  Journal

keywords

• Ant Colony Optimization (aco)
• C#
• Cvrp
• Metaheuristic
• Software Tool

Digital Object Identifier (DOI)

• 10.1016/B978-0-444-64235-6.50079-6

International Standard Book Number (ISBN) 13

• 9780444642356

start page

• 439

end page

• 444

volume

• 43

URL

• http://dx.doi.org/10.1016/b978-0-444-64235-6.50079-6

user-defined tag

• 9 Industry, Innovation and Infrastructure