ICSO Research Seminar

Programa

TALK 1

TITLE:

Scheduling parallel machines and flowshops with position-dependent processing times

ABSTRACT:

Human resource allocation is a critical process inside manufacturing and service production systems. Classic scheduling models consider that all employees have the same characteristics, behavior and productivity rates. From the workforce scheduling perspective, this is unreal and unpractical. Indeed, human beings have different characteristics and therefore, different skills; employee well-being, mental health and work environment impact the actual productivity of employees in hand-intensive manufacturing. This conference presents our work on modeling and resolution of both parallel machines and flowshop environments with position-dependent processing times. Mathematical models and approximation algorithms (heuristics and meta-heuristics) are described and compared.

LANGUAGE:

Spanish (slides in English)

SPEAKER:

Jairo R. Montoya-Torres

BIO:

JAIRO R. MONTOYA-TORRES is Full Professor and Director of the PhD program in Logistics and Supply Chain Management at the Faculty of Engineering Universidad de La Sabana Chia, Colombia. He holds the postdoctoral diploma “Habilitation for Research Direction” (HDR) in logistics and operations research from the National Institute of Applied Sciences (INSA) of Lyon, France, and a PhD degree in industrial engineering from École nationale supérieure des mines de Saint-Etienne, France. His research interests lie broadly in simulation and optimization of logistics and production systems, scheduling, urban logistics and supply chain management under collaborative and sustainable environments. He was co-editor of the contributed book “Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solution” published in 2012 by IGI Global, USA, and co-editor of the Proceedings of the Winter Simulation Conference in 2010. His e-mail address is jairo.montoya@unisabana.edu.co and his web page is http://jrmontoya.wordpress.com.

TALK 2

TITLE:

Towards a traffic management system for smart cities through the prior optimization of routes

ABSTRACT:

Mobility in large urban centers is affected when road congestion occurs. With the increase of vehicles in cities, the problem becomes increasingly complex, so we want to get intelligent solutions to monitor and manage urban traffic in the best possible way. Finding methods to manage better and optimize vehicle traffic has been the focus of many researchers. However, solving problems considering a fleet of vehicles in typical scenarios of large cities and dealing with congestion problems is not trivial and usually requires that many variables are optimized simultaneously for conflicting objectives, characterizing them as multiobjective optimization problems.

We propose the creation and use of heuristics and metaheuristics (a multiobjective evolutionary algorithm - MOEA) to optimize a set of daily routes to be traveled by the city vehicles in a map with thousands of points. Paths should consider multiple metrics on a large-scale road network with vehicle congestion. To this end, a step of preprocessing map data is proposed, creating predetermined route deposits using heuristics for the generation of several sub-optimal paths. Path repositories are responsible for delivering various stretches of routes quickly, being suitable for real-time applications and reducing the complexity of the problem.

LANGUAGE:

English

SPEAKER:

Cícero Garrozi

BIO:

Cícero Garrozi, Ph.D. in Computer Science, is an Adjunct Professor of Federal Rural University of Pernambuco (UFRPE), Brazil. Currently, he is a visiting researcher of ICSO (Internet Computing & Systems Optimization) group in IN3-UOC. He was the coordinator of the course of Bachelor of Information Systems at UFRPE (2015-2017) and currently he is a member/advisor in the academic Master in Applied Informatics (PPGIA-UFRPE). He has experience in Computer Science, with emphasis in the areas of Artificial Intelligence and Optimization, acting on the following topics: evolutionary computation, genetic algorithms, multiobjective optimization, dynamic algorithms, dynamic multiobjective evolutionary algorithms, scientific computing, and multicast routing. Member of the Technical Committee (TC) on Soft Computing of IEEE Systems, Man and Cybernetics (SMC) Society.