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Table of contents
It gathers MBSE actors looking to collaborate in a vendor neutral way and with open governance. By participating in this consortium, members companies developing complex systems and software, suppliers providing solutions in addition to Capella, academics can share their vision on how Capella could evolve and pool their respective investment efforts.
Capella is a concrete illustration of an open and field-proven approach that can solve major concrete industrial challenges. Capella also benefits from the PolarSys Working Group initiative that allows organizations to combine the best practices of open source development with the possibility to foster industry collaborations and build a strong ecosystem. Taking on the Challeng Why Capella? Taking on the Challenges of Complex Systems Engineering In a world moving at an ever faster pace, Capella is an open and field-proven approach to address increasing complexity in systems architecture and solve the limitations of traditional engineering practices that are primarily driven by documents.
Exponential increases in complexity Across all industry domains, the increasing sophistication of new services and products lead to customers demanding ever more interconnected, ready-to-use, safe, environmentally friendly, and low cost systems.
Many examples of these challenges are clearly seen in domains such as: transportation autonomous vehicles, connected devices, low emission, etc. Similar challenges are easily found in many other domains as well. Systems engineering challenges The mission of systems engineers is to ensure all the subsystems, equipment, and software work together to achieve the correct objectives. This implies sharing a consolidated and consistent vision of the whole system.
The promises of a Model-Based approach The objective of a Model-Based approach is to move from a set of heterogeneous office-based documents to a coherent, integrated and computational description of a system. Beyond the facilities offered to create a consistent system, another major benefit of MBSE is the possibility to automate many engineering activities, thanks to the digital format of the models including: consistency validation, derivation of architecture alternatives, trade-offs evaluation, production of deliverables, exchanges with other engineering tools, reuse of architectures between several projects.
Conclusion Capella is a concrete illustration of an open and field-proven approach that can solve major concrete industrial challenges. Eclipse Newsletter A fresh new issue delivered monthly. EM-3 3 : 64— Hall A Methodology for Systems Engineering. Van Nostrand Reinhold.
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Aerospace engineering Biological systems engineering Configuration management Earth systems engineering and management Electrical engineering Enterprise systems engineering Performance engineering Reliability engineering Safety engineering. Requirements engineering Functional specification System integration Verification and validation Design review. James S. Albus Ruzena Bajcsy Benjamin S. Veloso John N. Control engineering Computer engineering Industrial engineering Operations research Project management Quality management Risk management Software engineering.
Software engineering. Presented model is based on three scenarios; human solo existing , robot solo substitute and combination of human and robots complement. Taking production P as dependent variable, we determined its mathematical value for three scenarios. After detailed analysis with a help of latest software GeoGebra and 3D wireframe graphs, we concluded that in human solo scenario, factory production remain low in short run but increases in the long run; in robot solo scenario substitute , production increases in the short run but decreases in the long run more than human solo scenario; while production increases in short and long run when robots are used mixed with human effort.
Keywords : Robot; human; solo; substitute; complement; industry; production; short run; long run; increase; decrease. V, Zara Poursafar, Lewlyn L. The present research attempts to identify the significance of relationship between the demographic factors of the employees and the productivity in the office of architects with and without the consideration of personality traits of employees.
The survey for the study was carried out in 80 architects' offices located in Iran and India. The data was collected through a self-administered survey questionnaire using random sampling method on the basis of representative sampling. Statistical analysis was carried out using SPSS ver. Chi-square test was used to test association between demographic factors and productivity. The study shows that there is a significant influence of demographic factors on employees' productivity while taking into consideration the different personality types.
The analytical description of J stages relay-races, in which participate M teams, is considered. The model based on the semi-Markov process theory allows investigating a process evolution in detail but is of little use for computer calculation of forfeit, which the winner team receives from loser teams. To adapt analytical description to computer calculations, the method based on sampling of continual time densities of passing stages is proposed. Due to the method, initial semi-Markov process is converted to semi-Markov process with degenerative distributions, and the task of forfeit calculation is reduced to the task of rigid schedules effectiveness analysis, in which schedules are selected stochastically from the densities samples.
Formulae for the stochastic summation of forfeits, is obtained. The results may be used for optimal planning the activity of participant teams when passing the distance. Keywords : relay-race; rigid schedule; semi-Markov process; degenerative distribution; evolution; distributed forfeit; recurrent procedure. In the present paper, we develop a variable sample size control chart, namely VSSCpm , to monitor PCIs for industry manufacturing to improve product quality. We set up the control limits; determine the upper and lower warning limits, fixed sample size, central region sample size, and warning region sample size for the control chart; and apply them to monitor PCICpm.
We also use the average run length ARL as a monitoring performance indicator. To increase the in-plant applicability of the proposed method, we tabulate the performance value of the ARL for various commonly used situations. We perform a sensitivity analysis to study the effects of model parameters on the monitoring performance and then present an example to illustrate the proposed procedure. Keywords : Key words: Process capability index; Variable sample size control chart; Quality monitoring performance. A better predictive maintenance strategy is absolutely essential to an efficient, reliable and safe production process.
This study considers a supply chain that consists of a manufacturer and an external contractor wherein the manufacturer is willing to outsource the predictive maintenance activities provided by the contractor.
Systems Engineering solution - Obeo
In order to achieve channel coordination, we introduce three incentive contracts: 1 maintenance cost subsidisation contract; 2 uptime target and bonus contract; 3 uptime reward contract, which enhance the cooperation willingness of the contractor and increases profit for both parties, thereby leading to a win-win situation. We also discuss the feasibility of the contracts given improvements in the failure rate and maintenance capability.
Theoretical results show that the uptime target and bonus and uptime reward contracts can achieve channel coordination under specific conditions given increases in the failures rate and maintenance capacity. Numerical results are further presented to reveal the managerial insights.
Keywords : predictive maintenance; corrective maintenance; maintenance outsourcing; channel coordination; contract design. This study provides an overall picture of the research in green supply chain modelling GSCM sciences. This paper proposes a methodology. First, the articles have been collected using Web of Science based on selected keywords from to Next, the most influential journals, articles, keywords, authors, and institutions have been determined in GSCM. Then, the country analysis has been performed to analyse GSCM studies with respect to its geographical distribution. Finally, the VOS viewer software has been used to visualise the bibliographic material through co-authorship, co-occurrence, citation, bibliographic coupling, and co-citation analysis.
The indicators identify the fundamental research in this field.