Tuesday, 4th December 2018

Call for Papers: Special Issue on Urban Freight Logistics (Annals of Operations Research)

This is a call for papers that make a significant contribution to the topic Simulation and Optimization to Facilitate Sustainable Urban Freight Logistics Operations. It is open to all researchers of this area. We wouldlike to encourage, in particular, all participants of the International Multidisciplinary Modeling & SimulationMulticonference (I3M 2018) held in Budapest, 17 to19 September 2018, to submit extended versions of their presented papers. Contributions arising from papers given at a conference should besubstantially extended, and should citethe conference paper where appropriate.

Background:

Urbanization, congestion, traffic restrictions, and limited parking spaces challenge freight logistics providers, while customers increasingly purchase products online and demand faster services, such as same-day deliveries at little to no extra costs. In recent years, a wide range of promising business models have originated from this problem setting, including concepts such as cargo-bike deliveries, e-mobility, and urban consolidation strategies to enable efficient last-mile distribution of goods. Given various sources of uncertainty present in such daily operations (e.g., unsuccessful delivery attempts, dynamic traffic and parking situations), related problem settings present complex research topics and are, consequently, of high interest to various stakeholders such as researchers, practitioners, and policy-makers.

In this context, computer-aided computer systems facilitating simulation and/or optimization methods have become promising methods to investigate and optimize real-world processes. Such tools allow one to investigate operations in a flexible and risk-free manner to design operations and, furthermore, enable the optimization of existing solutions through better planning and routing procedures. This special issue is dedicated to recent advances and original solution approaches exploring research and applications of simulation and optimization methods in urban logistics and supply chain management. A particular focus is set on sustainable solutions considering economic, environmental, and social impacts of proposed solution methods and software systems to facilitate an improved understanding of sustainable urban logistics operations.

The main topics of interest are:

• Last-mile distribution and city logistics concepts
• Multi-actor crowdsourced deliveries systems
• Sustainable commercial modes of transport such as cargo-bikes and e-mobility
• Urban consolidation strategies at micro-hubs
• Loading, unloading, and transshipment systems dedicated to urban operations
• Time slot management
• Omni-channeling including click & collect and various home-delivery concepts
• Environmental, social, and transport policy aspects of freight logistics operations

Guest Editors:

• Dr Christian Fikar

WU Vienna university of Economics and Business

Email: christian.fikar@wu.ac.at

• Prof. Dr. Manfred Gronalt

BOKU – University of Natural Resources and Life Sciences, Vienna

Email: manfred.gronalt@boku.ac.at

• Prof. Dr. Francesco Longo

DIMEG, University of Calabria, Rende (CS), Italy

Email: francesco.longo@unical.it

More info can be found at:

https://christianfikar.com/2018/12/04/cfp-urban-freight-logistics/ 

Tuesday, 4th December 2018

Download the brochure

Open Invited Track on “Predictive analytics & Decision making in Supply Chains” for IFAC MIM 2019

Invited track identification code s4xhk

August 28-30, 2019, Berlin, Germany

Track Chairs:

Prof. Dr. Elyn L. Solano-Charris, Universidad de La Sabana, Colombia

Prof. Dr. Jairo R. Montoya-Torres, Universidad de La Sabana, Colombia

Prof. Dr. Carlos L. Quintero-Araújo, Universidad de La Sabana, Colombia

Prof. Dr. Christopher Mejía Argueta, MIT Center for transportation & Logistics, USA

Prof. Dr. Thierry Coudert, École national d’ingénieurs de Tarbes, France

Prof. Dr. Lionel Amodeo, Université de Technologie de Troyes, France

Predictive analytics looks to the future and informs decision-making in real time. This approach uses different techniques such as data mining, statistical modeling, and machine learning. The objective is to help organizations for taking decisions in supply chains and forecast outcomes. In this track, we invite contributions in both theoretical and industrial developments of predictive analytical techniques for decision making in Supply Chains. The topics of interest include but are not limited to:

• Data science in logistics and supply chain management
• Using big data in supply chain network design
• Predictive Demand Forecast
• Predictive Supply Chain disruptions
• Supply chain coordination mechanisms supported by big data
• Robust supply chain risk modeling using big data and predictive analytics
• Dynamic supply chains using big data and predictive analytics
• Exploring behavioral supply chains design theory using big data and predictive analytics
• Supply Chain agility, adaptability and alignment based on predictive analytics
• Collaborative supply chains based on data analytics
• Inventory predictions using machine learning techniquesPredictive traffic congestion for urban distribution logistics
• Optimizing supply chains and distribution logistics
• Hybrid Algorithms for logistics and supply chain management using big data
• Ethical issues in supply chains using big data

Saturday, 1st December 2018

Descarga el folleto informativo

Estimado compañero/a,

Te envío esta información acerca de la convocatoria pública de varias plazas de ayudante doctor (7) para nuestro departamento en la UPM.

Área: Organización de empresas. Los perfiles son: 

1. ETS Ingenieros Industriales
   • Valoración de las empresas. Valoración de activos y de inversiones. Dirección financiera. Dirección estratégica.
   • Introducción a los mercados financieros. Contabilidad de costes. Dirección financiera. Análisis y control de costes.
2. ETS Ingenieros de Telecomunicación
   • Organización de Empresas. Digital Business.
3. ETS Ingenieros Informáticos
   • Finanzas
   • Dirección de la Producción, Gestión y control de calidad
4. ETS Ingeniería Aeroespacial y del Espacio
   • Economía de la Empresa. Gestión de Empresas y Proyectos. Gestión Económica.
5. ETS de Ingeniería y Diseño Industrial
   • Economía General y de la Empresa. Organización Industrial.

Las plazas, se acaban de convocar (30/11). El plazo para presentar la documentación que acredita que las personas interesadas cumplen los requisitos para presentarse al concurso se acaba el 17 de diciembre.

En este enlace está toda la información:https://www.upm.es/Personal/PDI/Concursos/ProfesoresContratados/AyudantesDoctores?id=c009592776467610VgnVCM10000009c7648a____&fmt=detail

Más tarde, tras la publicación de la lista definitiva de admitidos y excluidos, se dan otros diez días hábiles para presentar la documentación con la que se concurre al concurso (CV+méritos).

Se espera que los contratos se formalicen en torno a febrero 2018.

Por favor, difunde este mensaje y si conoces personas acreditadas como ayudante doctor que puedan estar interesadas decidle que me escriban un correo electrónico a miguel.ortega.mier@upm.es.

Gracias. Un cordial saludo.

Miguel Ortega

Saturday, 1st December 2018

Dear colleague,

The 2019 INFORMS ALIO International Conference is sponsored by both
INFORMS and the Mexican Society of Operations Research (SMIO), which is
part of the Association of Latin-Iberoamerican Operational Research
Societies (ALIO). The conference will be held June 9-12, 2019 at the JW
Marriott & Marriott Cancun Resort, Cancun Mexico. The general chair of
the conference is José Luis González Velarde (Tec de Monterrey, Mexico),
and the program chairs are Roger Z. Ríos (Universidad Autónoma de Nuevo
León, Mexico) and Andres L. Medaglia (Universidad de Los Andes,
Colombia). Please see the website
https://meetings2.informs.org/wordpress/2019international/

As chairs of the Transportation/Vehicle Routing cluster, we would like
to invite you to organize a session within the cluster on a specific
topic proposed by you. A session comprises between 3 to 5 presentations.
If you accept the invitation, your task will be to invite potential
authors and enter the information of their talks at the conference
website. Alternatively, if you are not able to organize a session, you
can suggest a colleague to be invited or you can propose a single talk
that will be included into a suitable session.

We hope you are be able to accept this invitation !

Please, let us know if you need further information. At any case, we
would appreciate an answer at your earliest convenience. Note that the  
deadline for Cluster Chairs to enter Session Chairs is January 14 and  
the Deadline for Session Chairs to enter Presenters is February 11.

Best regards,

Libertad Tansini
Antonio Mauttone
Universidad de la República, Uruguay

Tuesday, 8th May 2018

Call for papers: Modeling & Simulation in Disaster & Emergency Management: Planning, Strategy Formulation, Decision-Making, and Training

(https://www.ieee-tems.org/call-for-papers-modeling-simulation-in-disaster-emergency-management/)

Prof. Adriano Solis, York University, Canada, asolis@yorku.ca

Dr. Leorey Marquez, Commonwealth Scientific & Industrial Research Organisation (Australia), Leorey.Marquez@csiro.au

Prof. Agostino Bruzzone, University of Genoa (Italy), Agostino@msc-les.org

Disaster & Emergency Management is a critical concern for all sectors – all levels of government, global organizations (e.g., the United Nations and its various agencies), non-governmental organizations, and manufacturing and service industries. The recent groundbreaking rise of Industry 4.0 technologies and solutions has given rise to a new human-computer interaction technology that allows actual users to experience a high sense of perception and immersion for training purposes as well as to be supported in decision-making and policy formation.

Novel contributions on Disaster and Emergency Management are welcome, including:

•     Disaster Prevention or Mitigation,

•     Emergency Response,

•     Safety Engineering,

•     Industry 4.0,

•     Industrial Engineering,

•     Modeling & Simulation,

•     Geographic Information Systems,

•     Decision Support Systems,

•     Virtual and Augmented Reality,

•     Training Systems,

•     Human Behavior in Emergencies,

•     Policy/Strategy Formulation

•     Decision Making

Submission Process:

Please prepare the manuscript according to IEEE-TEM’s guidelines and submit to the journal’s Manuscript Central site (https://mc.manuscriptcentral.com/tem-ieee). Please clearly state in the cover letter that the submission is for this special issue.

SCHEDULE

Interested authors send full paper by February 28th 2019

Monday, 27th November 2017

IMT ATLANTIQUE is recruiting an Associate Professor with tenure in Industrial Engineering https://www.imt-atlantique.fr

IMT Atlantique (École Nationale Supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire) is an elite Graduate school of engineering and International research center. Resulting from the recent merger on 1 January 2017 of Télécom-Bretagne and Mines-Nantes, it is a school of the National Institute of Science and Technology IMT “Institute Mines-Télécom” (the leading group of top level schools in France for study and research in engineering and management: includes 12 engineering and 1 business schools located throughout France).

Based on 3 different campuses (Brest, Rennes and Nantes), IMT Atlantique aims to combine energy and digital technology to transform society and industry through education, research and innovation in order to become an international reference in this area.

Each year, IMT Atlantique guides approximately 2.300 students in engineering, Masters of Science and Ph.D. programs. Its research activities, at the crossroads of applied and fundamental research, are led by 290 researchers which produce over 1000 publications each year and 18M € of funded research and development projects. Its courses are based on cutting-edge research performed in 6 joint with CNRS (National Center of Scientific Research), University of Nantes and Centrale Nantes, research laboratories: GEPEA, IRISA, LATIM, Lab-STICC, LS2N and SUBATECH.

The Department of Automation, Production and Computer Sciences (DAPI: Département Automatique, Productique et Informatique) of IMT Atlantique is located on the Nantes Campus. The department employs one hundred and ten people, forty of which are Faculty members. The research topics of DAPI include Automatic Control, Robotics, Operations Research, Industrial Engineering, Artificial Intelligence, Mathematical Decision Making, and Software Engineering. The members of DAPI are also members of the LS2N CNRS research laboratory (https://ls2n.fr/) recently created from the merging of the former IRCCyN and LINA laboratories.

The candidate will be integrated into the Optimization and Decision Aid group of DAPI and the Logistics and Production System (SLP) Team of LS2N. The research in SLP focuses on analyzing, modeling and solving decision making problems for design and management of production systems and logistics.

The candidate will be asked to focus his research on domains related to industrial engineering approaches for the Factories of the Future (FoF) initiative of the European Union Framework Program for Research and Innovation. Collaboration with the other IMT Atlantique/LS2N teams will be encouraged.

The candidate will teach in the industrial engineering curriculum of IMT Atlantique, in particular the IMT Atlantique engineering programme and/or the MOST International Master of Science. (Management and Optimization of Supply Chains and Transport).

Administrative status: Maître assistant des Mines et des Télécom, fonctionnaire du Ministère de l’Economie et des Finances (Associate Professor tenured position).

Missions: The candidate will participate in education, academic and collaborative research objectives. He/she will be actively involved in local, national and international partnerships of DAPI and LS2N. He/she will be asked to take administrative responsibilities in teaching programs, research projects or institutional endeavors.

Education: · The candidate will be involved in the IMT Atlantique educational programs, particularly those of the DAPI the engineering curriculum and the MOST MSc. Teaching experience in some of the following subjects is required:

 Industrial engineering

•  Design of manufacturing systems
•  Production planning and scheduling   
• Inventory control and demand forecasting   
• Supply chain design and management   
• Replenishment, procurement, outsourcing   Warehousing, crossdocking   
• Revenue management
• Skills in one or several of the following domains: 
  • Combinatorial optimization, robust optimization   
  • Decomposition techniques   
  • Performance evaluation models, simulation   
  • Matheuristics, metaheuristics and heuristic algorithms will be also appreciated.

· IMT Atlantique is particularly interested in qualitative and innovative teaching methods. A strong investment in pedagogical activities related to his/her courses is expected.

· IMTA trains engineers for a quickly evolving industry. The capacity of the candidate to teach in this context and propose and supervise student projects in collaboration with industry is desired.

Research and collaborative projects

The candidate will perform his/her research in the fields of the Logistics and Production Systems team: design of manufacturing systems, design, planning and scheduling of production systems, optimization of supply networks, replenishment planning, buffer allocation, performance evaluation, risk assessment and control in industrial and systems engineering.

He/she will develop decision-aid tools in the framework of projects related to Factories of the Future (FoF). This work will be related to the design and management of manufacturing, production and supply networks.

The recruited candidate will be expected to publish his/her work in high-level international journals. He/she will also be expected to supervise master and PhD students’ research.

His/her research will be conducted through local, national, European, and international projects. Finally, the candidate will be expected to propose collaborative research projects with industry and contribute to enhancing the overall reputation of IMT Atlantique.

Qualifications and skills: According to the Maître Assistant status, the candidate must have the nationality of a European Community country or a country member of EEC.

He/she will have strong competences in industrial engineering as well as: · Skill and motivation for teaching and research, in particular in connection with industry. · Ability to propose, obtain funding, and participate in research and applied research projects. · Excellent interpersonal skills and ability to work in projects. · Open-minded, self-assessment capacity. · Interest and openness to the world of business and innovation in education. · Scientific publications. · Excellent practice of English.

APPLICATION DETAILS For further information, contact Prof. Alexandre Dolgui, Head of DAPI – alexandre.dolgui@imt-atlantique.fr – Ph: +33 2 51 85 82 18.

The deadline for submitting an application is 30 November 2017. To obtain the complete application dossier, please contact Human Resource Services: Florence MOULET–florence.moulet@imt-atlantique.fr - tél : +33 2 51 85 83 63 or Jean-Philippe ROULLAND – jean-philippe.roulland@imt-atlantique.fr – tél: +33 2 51 85 83 54 IMT Atlantique La Chantrerie - 4 rue Alfred Kastler BP 20722 44307 Nantes CEDEX 3. Website of Institute Mines Telecom Atlantique: https://www.imt-atlantique.fr

Monday, 9th October 2017

Del 9 al 20 de octubre de 2017 tendrá lugar el Campus America 2017, organizado por la Universidad de La Laguna.

Link de la web organizadora.

Campus América es:

• Un proyecto internacional de la Universidad de La Laguna (ULL) con el apoyo y la participación del Gobierno de Canarias, Cabildo de Tenerife y Ayuntamiento de San Cristóbal de La Laguna, que responde al interés de la sociedad canaria en mantener e intensificar las relaciones con América.

• La expresión de un compromiso con nuestros valores culturales y sociales, a través de la cooperación.

• Un espacio de encuentro donde afianzar las relaciones internacionales de Canarias, así como foro para la cooperación entre universidades latinoamericanas y la Universidad de La Laguna.

Finalidades:

• Incrementar la interacción entre universidades y organismos que compartan los mismos intereses y valores.

• Fomentar la transferencia de conocimientos entre Canarias y América.

• Generar una apuesta conjunta por la innovación.

• Propiciar el debate y la participación en la resolución de los problemas actuales de la sociedad.

• Resaltar la cultura de cooperación internacional e interuniversitaria, apoyada en la comunidad cultural americana con la que mantenemos vínculos tan cercanos.

April, 2nd 2017

Desde el Grupo de Computación Inteligente de la Universidad de La Laguna (Tenerife, Canarias) se pretende establecer colaboraciones con grupos de investigación de universidades americanas en áreas de movilidad y transporte sostenible e inteligente en entornos especialmente sensibles, como Ciudades Patrimonio de la Humanidad, Parques Nacionales o Destinos Turísticos Inteligentes.

Estas colaboraciones se enmarcarían en una iniciativa de la Universidad de La Laguna para fortalecer las relaciones con instituciones americanas de educación superior y centros de investigación. Para promover esta iniciativa se organizará un encuentro en octubre de 2017 en la Universidad de La Laguna para discutir y proponer líneas de actuación concretas. Se invita a los nodos de la red Red Iberoamericana de Logística Inteligente en la Gestión Sostenible del Transporte en Núcleos Urbanos (SMARTLOGISTICS@IB) a manifestar, a la mayor brevedad posible, su interés en esta iniciativa mediante un correo electrónico al coordinador del nodo de la Universidad de La Laguna, José Andrés Moreno Pérez (jamoreno@ull.es) así como recabar más información.

December, 7th 2016

The present call for applications refers to 5 research positions for MSc holders to perform R&D within the project RD0652 - DM4Manufacturing, POCI-01-0145-FEDER-016418, with the financial support of the FCT/MEC through national funds and, when applicable, co-financed by FEDER within the scope of the PT2020 partnership agreement under the following conditions:

Download complete information

Scientific Area: Engineering Science and Technologies, Operation research, Operation Management

Deadline: The call will be open from 23/12/2016  to 05/01/2016.

Eligibility:

Academica Qualifications:

- Master Degree in Engineering, MSC Degree, Computer Science,Computer Science, or similar.

- Excellent candidates with other backgrounds will be also considered.

Minimum Profile Required:

- Experience and knowledge of operational research techniques and optimization algorithms.

- Sound knowledge of computer programming.

- Previous research publications in this or similar domains.

- High knowledge of English, sound and wrtitten.

Preferential criteria:

- Previous experience in one of the following specific areas: Engineering and management problems.

- Programming skills.

- Good knowledge of english.

Work plan: .

The DM4Robotics project proposes a multidisciplinary approach to perform the co-development on advanced robotics and advanced Decision making techniques to prepare the next generation of manufacturing. Manufacturing competitiveness depends largely on its productivity, flexibility and agility to react to market demands. Advances in manufacturing technologies with high flexibility, such as robotics, will play an important role in future manufacturing industries, but its impact in the overall decision making strategies is still an open question.

The main objective of the DM4Manufacturing project is the integrated development of advanced robotics with decision making methodologies to maximize the productivity of the factories of the future. On the other hand the decision making tools will have to evolve to deal with production technologies with high flexibility, capable of performing different tasks with minimum reprogramming, capable of sensing the environment and working in environments designed for human‐use. This new paradigm represents a challenge for the traditional production process modelling techniques, where machines are almost static resources and the flexibility is completely provided by the human resources. Following a human‐centered automation methodologies, the DM4Manufacturing project will search the optimal automation level for each manufacturing scenario, to produce efficiently but also to promote better working environments.

Contact and further information tania.pinto.varela@tecnico.ulisboa.pt