THE IMPLICIT CANADIAN RESEARCH AGENDA FOR ENGINEERING EDUCATION: 2019

Given the growth of the engineering education community in Canada, we argue that a research agendathat reflects our own identity and interests is needed. To start this conversation, we conducted a content analysis of the 2019 CEEA-ACEG conference proceedings to investigate the implicit Canadian research agenda for engineering education. We analyzed five characteristics: publications’ stream, level of collaboration, authors’ affiliations and, more importantly, their research topicsand areas. We found that the Canadian EER community is very practice-oriented, collaborative and that mostuniversities were represented at the conference. Also, seven main research areas were identified: Assessment,Teaching and Learning, Students, Faculty, Organizational, Engineering Education Discipline, and Philosophy of Engineering. Among these areas, Teaching and Learning is, by far, the one that received the most attention.

Special Issue: Ensuring Sustainability. New Challenges for Organizational Engineering

This special issue of the Journal of Industrial Engineering and Management is dedicated on the most recent and relevant research, theories and practices in Industrial Engineering and Operations Management presented at the 14th International Conference on Industrial Engineering and Industrial Management and XXIV Congreso de Ingeniería de Organización - CIO 2020.The CIO 2020 was held on 9th and 10th July 2020 in Leganés - Madrid and was organized by the Universidad Politécnica de Madrid (UPM) and Universidad Carlos III de Madrid (UC3M). This conference is promoted by ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización) and AIM (European Academy for Industrial Management).

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

To restructure or transform a business organization in the optimal manner, there is a need for a specific organizational intelligence and engineering pattern to support a business transformation and integration strategy. The applied strategy should be based on existing standards, mapping concepts, and various levels of interoperability. Today, many standards, patterns, and methodologies exist, and they are very advanced and are able to support the organizational transformation process of the older business environment to become part of a larger business eco-system. Transforming a traditional organization or a business environment into an innovative and efficient organization based atomic service-oriented environment is a great challenge, because transformation initiatives often fail, mainly because of the monolithic nature of the mammoth-like organisations. Many monolithic environments and their correspondent business information and communication systems fail to be transformed and are unable to adapt to the new business requirements and challenges. These presented facts make organizations unable to follow frequent changes and this fact might cost organizations fortunes without obtaining the return on investment. A well-designed organizational transformation process and a reorganized business environment should be based on a platform of flexible atomic business loose block (or microartefacts) that can support the future changes request of the business environment. In order to reach the optimal organizational transformation models, an organizational engineering pattern must be designed to improve the functions of the existing business services. This article's goal is to present an organizational engineering and risk pattern integration concept is presented to support frequent change initiatives.

Profile of Supervised Internship Reports of the FT/UFAM Industrial Engineering Course

The article analyzes the profile of the Supervised Internship reports delivered by students of the Industrial Engineering course at the Faculty of Technology of the Federal University of Amazonas (FT/UFAM), to provide useful information to the course department, as well as providing knowledge and reflection on how the discipline has been approached over time. The research is applied, documentary, using descriptive statistics along with data obtained from the collection of internship reports approved between 2008/1 to 2018/1. After analyzing the results, the main conclusions were that the average score of the 469 reports is 8.56, the industry is the segment in which the majority of the internships (76%) were carried out, while the Operations Engineering, and Production Process, Organizational Engineering, Quality Engineering, Logistics, and Work Engineering were the main areas of Industrial Engineering in which the students interned.