Informs Annual Meeting: Houston, October 22-25, 2017

Informs Annual Meeting: Houston, October 22-25, 2017

Announcement Date: Octubre 23, 2017

The INFORMS Annual Meeting brings together over 5,000 people to the world’s largest O.R. and analytics conference.

Held each fall, the INFORMS Annual Meeting features more than 1,000 sessions and presentations, opportunities to meet with leading companies, universities and other exhibitors, an onsite career fair connecting top talent with over 100 organizations at the forefront of O.R. and analytics application, and other networking and educational events.

INSISOC is participating in this conference, presenting the following papers:


Session WC12 – Strategy/Strategic Planning: 5 – Impact of Business Intelligence in Organizational Resilience

Authors
Cristina Ruiz Martín(1), Felix Villafañez(1), Adolfo Lopez-Paredes(1), Gabriel Wainer(2), (1)INSISOC, Valladolid, Spain; (2)Carleton University, Ottawa, ON, Canada. Contact: cruiz@eii.uva.es
Abstract
The aim of this work is to demonstrate that Business Intelligence (BI) is a key issue for organizations to achieve the capabilities and attributes of resilient organizations. In the last century, organizations focused on performance, but in today’s changing environment, this is not enough: continued existence has become a key challenge. One of the main areas of Organizational Resilience research is to identify the characteristics of such organizations. BI aims to help organizations to develop sound strategies in order to survive and thrive taking advantage of data analysis. Organizations can benefit from a combined application of BI and Organizational Resilience.

Session WA57 – Scheduling: 6 – Research On New Techniques For Multi-project Scheduling

Authors
David Poza, Felix Villafañez, Javier Pajares, Adolfo López-Paredes, INSISOC – University of Valladolid, Valladolid, Spain. Contact: poza@insisoc.org
Abstract
Very few software tools for project scheduling support multi-project resource leveling, which is an essential feature in order to obtain a feasible schedule when resources are shared between several projects. We compare the results yielded by well-known commercial scheduling software with those of the newest algorithms proposed by the latest research on this topic. We claim that these achievements in the field of Operations Research should be incorporated in commercial software in the interest of small and medium enterprises