scholarly journals A CONCEPTUAL MODEL FOR ORGANIZATIONAL COMPETENCES

2021 ◽  
Vol 1 ◽  
pp. 41-50
Author(s):  
Hanane Hammouch ◽  
Andreas Makoto Hein ◽  
Helene Condat
Keyword(s):  
Engineering Design ◽  
Conceptual Model ◽  
Systems Engineering ◽  
Automotive Industry ◽  
Future Evolution ◽  
Organizational Competencies ◽  
Modeling Competence ◽  
Technology Product ◽  
Modelling Approach

AbstractOrganizational competences are one of the main assets of companies. Models of these competences would allow for systematic reasoning for exploring technological innovations, enabled by combining and transposing organizational competences. Today, the literature linking organizational competencies to engineering design and systems engineering remains limited. In particular, a generic modelling approach for organizational competencies for engineering design and systems engineering seems to be missing, although first frameworks have been proposed for specific purposes. This paper presents a generic conceptual model of organizational competences. The objective is to link technology, product, and systems development with the corresponding organizational competencies and their future evolution in order to allow for a joint design of competencies and technologies, products, or systems. The conceptual model provides the basis for a competence combination framework which allows for modeling competence combinations in an organization. Finally, we validate our conceptual model using a case study from the automotive industry.

Engineering Management

2018 ◽  
Vol 9 (4) ◽  
pp. 36-50
Author(s):  
Jean C. Essila
Keyword(s):  
Engineering Design ◽  
Conceptual Model ◽  
Systems Engineering ◽  
Engineering Management ◽  
Design Management ◽  
Social Responsibilities ◽  
Engineering Managers ◽  
Body Of Knowledge ◽  
Formation History ◽  
Technical Organizations

This article continues the conversation about the formation, history, and evolution of the EM concept. It contributes to the description and advancement of engineering management (EM) as an emerging discipline, by providing a new conceptual model that depicts a framework for distinguishing a generalist-engineering manager from a discipline-specific one, such as a systems engineering manager. It discusses the challenging social responsibilities facing engineering managers and their roles. It also examines the EM body of knowledge including the engineering design management, and the need for effective engineering managers who can anticipate technical challenges and work with various stakeholders to create a better future in technical organizations.

MH-53J/M Pave Low III/IV Systems Engineering. Case Study

2010 ◽  
Author(s):  
William Albery ◽  
Raymond L. Robb ◽  
Lee Anderson
Keyword(s):  
Systems Engineering

Investigation of a New Approach to Predict Water Quality Extremes with a Case Study of Chemical Determinands in Stream Water

1991 ◽  
Vol 24 (6) ◽  
pp. 25-33
Author(s):  
A. J. Jakeman ◽  
P. G. Whitehead ◽  
A. Robson ◽  
J. A. Taylor ◽  
J. Bai
Keyword(s):  
Water Quality ◽  
Stream Water ◽  
Probability Distributions ◽  
Management Strategies ◽  
Hybrid Modelling ◽  
Trend Model ◽  
Environmental Extremes ◽  
Modelling Approach

The paper illustrates analysis of the assumptions of the statistical component of a hybrid modelling approach for predicting environmental extremes. This shows how to assess the applicability of the approach to water quality problems. The analysis involves data on stream acidity from the Birkenes catchment in Norway. The modelling approach is hybrid in that it uses: (1) a deterministic or process-based description to simulate (non-stationary) long term trend values of environmental variables, and (2) probability distributions which are superimposed on the trend values to characterise the frequency of shorter term concentrations. This permits assessment of management strategies and of sensitivity to climate variables by adjusting the values of major forcing variables in the trend model. Knowledge of the variability about the trend is provided by: (a) identification of an appropriate parametric form of the probability density function (pdf) of the environmental attribute (e.g. stream acidity variables) whose extremes are of interest, and (b) estimation of pdf parameters using the output of the trend model.

scholarly journals The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim
Keyword(s):  
Business Process ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Predictive Maintenance ◽  
The Evolution Of Industry

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.

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