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In today's fast changing socio economic environment, companies have to rapidly adapt to changing conditions and adopt newer technologies and ways of working. Use of Augmented Reality (AR) and Virtual Reality (VR) is well recognized and effectively applied in different product based industries e.g., Aviation, Retail, Oil and Gas etc. However, services industries such as Banking, Finance and Insurance...
In Internet of Things (IoT) world, there can be many sensors deployed in a system, thus their costs must be considered during the system design and material selections, in order to support massive production and deployment. Design-To-Cost (DTC) is an effective technique for this situation. In Model-Based Design (MBD), DTC cost estimates are preferred to be generated from models as one of the parameters...
Knowledge about system life cycle processes constitutes one of the most valuable assets for systems engineering practitioners. While effective management of processes is imperative, it is an onerous task as knowledge is tacit and implicit. Although best practice to ensure the quality of such processes has been documented in the International Standard ISO/IEC/IEEE 15288, it is limited to human-readable...
With the introduction of autonomous systems becoming more and more prevalent in modern society a major focus of research on Artificial Intelligence (AI) and Autonomous Systems (AS) ethics is becoming important. There are many questions in the public about how these AI/AS programs will make ethical decisions as well as what ethical issues will be dealt with at a developmental level. Darning AI/AS development,...
Most of the models proposed in the literature try to model failure rate functions and failure intensities by means of a single model with a reduced number of parameters. If this approach can be effective for controlled situations or simple models it may happen that new models should be introduced in order to describe more accurately the behavior of the cases where non-monotonic failure rate or intensity...
Objective: To evaluate the application of a Deep Learning based emotion recognition system for detecting operator stress, where operator stress is a proxy for Situation Awareness (SA) changes during abnormal/contingency situation management and decision making. Background: When operators are overwhelmed by stress, their perceptions, thinking, and judgments are impaired, increasing the chance of misinterpretation...
Over the last decades several technologies have been developed towards the distributed automation architecture for Smart Factories, however, these technologies have not been yet implemented in industry. Manufacturers are quite conservative in adopting new technologies because the vast majority of existing infrastructures already have constraints in place related to their investment capabilities and...
In the development of production systems, the engineering of Manufacturing Execution Systems poses a complex and time-consuming task. One of the specific tasks, which contribute to this fact, are the efforts necessary for the configuration of the shop floor gateway of an MES. In the past few years, a great number of promising approaches for the model-based systems engineering of production systems...
Companies of the engineer-to-order (ETO) business face various trends such as digitalization and globalization. These trends will radically impact our ways of engineering. The Engineering framework translates Dave Snowden's Cynefin framework [2] to the engineering world. Cynefin for Engineers allows structuring future ways of engineering and guiding ETO companies along their transformation of engineering...
The control of unmanned combat system of systems (SoS) needs fusion centralized control, cluster distribution control and platform autonomous control, because of its distributed, networked and unmanned characteristics. Based on the hierarchical idea and the OODA control loop, this paper proposes a cognitive based multi-level command and control (C2) architecture about unmanned combat SoS (CB-MLC2A),...
Designing complex system architectures involves analysing tradeoffs between multiple conflicting decision criteria to find a solution which best matches the preferences of the customer. This is usually done in the engineering characteristic (decision criteria) space, but the customer is generally more interested in higher-level characteristics. For example, the engineering characteristic "modularity"...
Edutainment systems' Development is well documented in research papers, and its application has satisfying results in several knowledge areas. However, methods for multidisciplinary team management in immersive edutainment systems engineering were not found in the survey made. A qualitative evaluation of immersive edutainment systems' engineering was conducted aiming to achieve grounded theory that...
Common modeling in interdisciplinary contexts, such as innovation management, is a challenge, given that different disciplines often do not fully understand each other's models and paradigms. Building on the work of an interdisciplinary research collaboration, we explore, in which way interdisciplinary modeling can enrich innovation management. We show that models can be described on a general level...
Simulation results are not representative of a real system behavior up to its model validation. Validation activity needs a model characterization to match real system and model parameters. This activity impacts more on mechatronics systems which are affected by both physical and control characterizations. This work deals with single bowden power window systems; it improves a system model, previously...
In last decades software development processes changed in order to address increasing complexity within decreasing implementation time. Hence, new practices like Kanban, Extreme Programming or Agile Software Development emerged. Model-based development is one potential option, which is more and more used to cope these new demands. However, adapting testing processes to the needs is still an open topic...
Chemical plant is a factory producing chemical goods through a continuous chemical reactions flow process in a set of equipment and apparatus. In this factory, equipment is the most crucial components in the whole life cycle of the plant encompassing planning, design, engineering, construction, commissioning, operation & maintenance (O&M) and disposal. According to the industrial statistics,...
Prof. Edward Crawley has stated what an architecture is through the so-called FCF paradigm: "Architecture [..] consists of: Function, related by Concept, to Form". This definition has the merit to be simple, operative and applicable to all kind of engineered systems. However, by reviewing it thoroughly, we may expose some limitation, especially when trying to set-up a framework for architecture...
With the rapid development of ICTs, condition monitoring has been used as a key technology in the plant industries. For reliable condition monitoring, sensors should output same values under same conditions regardless of time, but the sensitivity of sensors is gradually changed due to several factors such as temperature, humidity, contamination, aging, and etc. This type of situation is called as...
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