8th International Conference on Industrial Engineering and Industrial Management XX International Conference on Industrial Engineering and Operations Management International IIE Conference 2014 Malaga, Spain. July 23-25, 2014 Improving Resilience and Performance of Organizations Using Environment, Health & Safety Management Systems. An empirical Study in a Multinational Company. Seixas, B 1 , Grijalvo, M 2 , Morales-Alonso, G 3 Abstract. This article presents and analyzes the experience of a European multi- national company working in diverse infrastructure sectors on the deployment and enhancement of a new internal Environment, Health and Safety (EHS) manage- ment system. As the company works in various sectors and had a much decentral- ized approach to EHS management, there was a need for centralization and inte- gration of its practices to a system that could allow the headquarters to assess, control and properly administer its processes and its people under one single man- agement system. The new system aimed to improve the performance of the com- pany’s sites and also has shown as an effective tool to build up corporate resili- ence. During the deployment of the system, various industrial units presented very critical issues concerning bad EHS administration and commitment, which ena- bled organization to tempt its capacity to realignment of EHS management to cor- porate strategy on those sites. The case of one specific unit is showed here in order to illustrate the situation prior to and subsequent to the execution of an orientated action plan and implementation of the new EHS management system on site. Keywords: Operational resilience, integrated management systems, Environmen- tal, Occupational Health and Safety management system, EHS assessment and performance, roadmap; 1 Barbara Seixas de Siqueira ( e-mail: BASDS@dongenergy.dk) 2 Mercedes Grijalvo ( e-mail : mercedes.grijalvo@upm.es) 3 Gustavo Morales-Alonso ( e-mail : gustavo.morales@upm.es) Dpto. de Ingeniería de Organización, Administración de Empresas y Estadística. Universidad Politécnica de Madrid. C/ José Abascal, nº 2, 28028 Madrid.