Use Of Systems Engineering Research Articles

Systematic Assessment of Product Quality

The article describes an innovative metrizable idea for systemic assessments of product quality within the baking industry. Complex product quality analysis requires the employment of metrizability criteria for factors that impact the quality of the product, and these are called determinants. Therefore, such analysis is only possible with the use of systems engineering. A system represents the potential of a manufacturing process, of major impact on quality. Composites of the manufacturing process make up the determinants of bread quality, grouped into three sets: raw materials, manufacturing technology, and manufacturing organization and technique. This paper also contains methodological implications for the construction of algorithms for manufacturing process potential determinants. Metrizable product quality assessment is a very important issue in the context of its implementation in manufacturing companies. Its use allows for obtaining comprehensive data on the quality status of a product. It is an important tool for analyzing and forecasting modern quality trends. The method presented in the article is new, innovative, and practical; and its vector representation may prove useful in Quality 4.0. The method could be an important point of reference for managers, directors, and decision makers who must determine the best metrizability criteria for systemic product quality assessments, and could prove useful in Industry 4.0 in the bakery industry. The main value of the paper is the presentation of a new, extensive method for systemic assessments of product quality based on vector analysis in industrial organization. We trialed the method in the baking industry. We concluded that the method is a contribution to management science, especially in the field of quality management, because this approach is not used in business and is not described in relevant international literature.

Analysis of intrusion detection in cyber attacks using DEEP learning neural networks

In this digital period, internet has turned into an indispensable wellspring of correspondence in just about every calling. With the expanded use of system engineering, its security has developed to be exceptionally discriminating issue as the workstations in distinctive association hold very private data and touchy information. The system which helps in screening the system security is termed as Network detection. Intrusion detection is to get ambushes against a machine structure. One of the vital tests to Intrusion Detection is the issue of misjudgment, misdetection and unsuccessful deficiency of steady response to the strike. In the past years, as the second line of boundary after firewall, the Intrusion Detection (ID) strategy has got speedy progression. Two diverse Machine Learning techniques are prepared in this research work, which include both supervised and unsupervised, for Network Intrusion Detection. Naive Bayes (supervised learning) and Self Organizing Maps (unsupervised learning) are the presented techniques. Deep learning techniques such as CNN is used for feature extraction. These remain provisional chances adaptation technique and pointer variables transformation. The two machine learning procedures are prepared on both kind of transformed dataset and afterward their outcomes are looked at with respect to the correctness of intrusion detection. The best Detection Rate (DR) was for the 93.0% User to Root attack (U2R) attack type and the most horrible result was display for Denial of Service attack (DOS) attacks with 0.02%.

Use of Systems Engineering to Design a Hospital Command Center

In hospitals and health systems across the country, patient flow bottlenecks delay care delivery-emergency department boarding and operating room exit holds are familiar examples. In other industries, such as oil, gas, and air traffic control, command centers proactively manage flow through complex systems. A systems engineering approach was used to analyze and maximize existing capacity in one health system, which led to the creation of the Judy Reitz Capacity Command Center. This article describes the key elements of this novel health system command center, which include strategic colocation of teams, automated visual displays of real-time data providing a global view, predictive analytics, standard work and rules-based protocols, and a clear chain of command and guiding tenets. Preliminary data are also shared. With proactive capacity management, subcycle times decreased and allowed the health system's flagship hospital to increase occupancy from 85% to 92% while decreasing patient delays. The command center was built with three primary goals-reducing emergency department boarding, eliminating operating room holds, and facilitating transfers in from outside facilities-but the command center infrastructure has the potential to improve hospital operations in many other areas.

Application Potentials of Systems Engineering for Small and Middle-sized Enterprises

To overcome future product development challenges, the application of Systems Engineering is important for small and middle-sized enterprises. Content of this paper is an analysis of application potentials of Systems Engineering principles for those enterprises especially in comparison to global international companies and organizations which shape Systems Engineering. Furthermore the results are validated by an example enterprise. The aim is to provide a realistic assessment of those potentials and support the use of Systems Engineering.

Adapting LOD definition to meet BIM uses requirements and data modeling for linear infrastructures projects: using system and requirement engineering

BackgroundWithin the current organization of design activities it is difficult to fully realize the potential of BIM (Building Information Modelling). In BIM processes, it is necessary to identify and exchange the specific information that is relevant in the exchange information requirements of each project. The concept of level of detail of the information is a tool for describing and quantifying the information that should be exchanged. But the existing definitions of level of detail of information are not easily usable. Precise definitions of methodology, tools and principles are needed to redefine this concept and to use it in order to define the elements of information that are relevant to be exchanged.MethodsThe authors propose the use of System Engineering and Requirements Engineering to define BIM uses and the relevant level of detail of information and its modelling concerned by each BIM use. The authors first explain why, in this context, the existing definitions of LOD, which can mean level of detail, level of development, level of definition, etc., are not sufficient and not always coherent. They demonstrate through real use cases that System Engineering and Requirement Engineering are a part of this methodology and propose, using formalisms, to describe each BIM use in detail.ResultsThe authors apply two different approaches to defining the relevant information to each BIM use. Using a top-down conceptual approach they show that Level Of Detail (LOD) is a crucial element in defining the content of a BIM use. They then verify the practicality of their proposal using a bottom-up approach based on three use cases (acoustic studies, safety audit, sizing drainage system). These cases studies allow the authors to address different kinds of systems and objects within a whole infrastructure project. They represent domain use cases (acoustic and drainage) and coordination use cases (safety audit). This part of the work is based on the L2 project in Marseille, which is a Public Private Partnership for expressways.As a result, a methodology is proposed both to redefine the level of detail of information concept and to describe how this concept is used to complete the BIM uses definition. The system engineering and requirement engineering methods are partially adapted to infrastructure projects. These elements facilitate the description of BIM uses expected in BIM Execution Plans. It was necessary to change the definitions of LOD in order to make them compatible with the methods of requirement management.ConclusionsDesign activities should be reorganized toward the common goal of meeting project needs and requirements. The authors demonstrate that the best way to meet requirements is to define BIM uses using a new definition of the level of detail of information. It has first to consider requirements that have to be reached through BIM and then define the relevant level of detail of information, using the concept of abstraction of reality. To do it well, applying system engineering and requirement engineering, adapted to infrastructure project, is required. To validate this proposal on an entire project, more use cases will be tested in further work.

An Approach to Designing PHM Systems with Systems Engineering

This work shows that given the numerous specific constraints that PHM systems for turbofan engines have to deal with and despite the low level of criticality of such systems, the use of Systems Engineering (or even System of Systems Engineering) methods and tools is essential to ensure project success. Various aspects of the methodology which were applied in our projects are presented here: on one hand general system design and project management considerations, on the other hand transversal methodological items such as model-based systems engineering and methods to manage requirements, hypotheses, interfaces, configuration, change, compatibility, validation, verification and integration. Associated pitfalls and lessons learned from applying these elements are highlighted, especially the importance of defining from the beginning of the design all the project management plans, with a constant focus on customer needs satisfaction, interfaces and design documentation while allowing iterations.

M&C ML: A modeling language for monitoring and control systems

The use of System Engineering (SE) language such as SysML [1,20] is common within the community of control system designers. However the design handoff to the subsequent phases of the control system development is carried out manually in most cases without much tool support. The approach to agreeing on the control interface between components is a good example where engineers still rely on either manually created Interface Control Documents (ICD) or one off tools implemented by individual projects. Square Kilometer Array (SKA) [2] and International Thermonuclear Experimental Reactor (ITER) [3] are two good examples of such large projects adopting these approaches. This results in non-uniformity in the overall system design since individual groups invent their own vocabulary while using a language like SysML which leads to inconsistencies across the design, interface and realized code. To mitigate this, we propose the development of a Monitoring and Control Modeling Language (M&CML), a domain specific language (DSL) [4,22] for specifying M&C solutions. M&C ML starts with defining a vocabulary borrowing concepts from standard practices used in the control domain and incorporates a language which ensures uniformity and consistency across the M&C design, interfaces and implementation artifacts. In this paper we discuss this language with an analysis of its usage to point out its benefits.

Subsea Oil Production The Design Basis

AbstractThe origination of the Design Basis document for subsea production systems (SPS) in the oil industry is a challenging task. The completeness and correctness of the Design Basis is crucial for the successful execution of the project in safety, technical and commercial terms.This work aims to establish, through the use of Systems Engineering and specifically throughInformation Models (Model Based Systems Engineering), how the Subsea Production System Design Basis should be optimally developed. The MBSE is integrated in this work by the theory of Transactional Processing, which is implicit in the universal thought process when behavioural models are drafted but seldom explicitly referred to.The current industry practice for developing an SPS design basis is compared to the suggested optimal process.The work constitutes the foundation for the revised Design Basis issuing procedure and the Design Review practice for the Aker Solutions worldwide subsea business.This work is part of a PhD at the Norwegian Technology and Science University.

A Framework for Optimizing the Use of Systems Engineering on Proposals

Organizations that execute contracts must capture them to survive. Systems engineering often leads the technical activities in the proposal process. Therefore, it is important that systems engineering be applied effectively on proposals. This paper introduces a framework for developing models to find an optimal use of systems engineering on proposals. Optimization models developed using the framework can maximize an objective function of interest such as the probability of contract award on a proposal by leveraging data from previous proposal efforts. These optimization models provide recommendations as to how much budget to invest in systems engineering on proposals and how to allocate that budget across various systems engineering activities and to contributors with various skill levels. This paper describes the framework and provides guidance for how to develop an optimization model using the framework that is customized for a particular proposal effort of interest. The validation of the framework is also described.

The Use of Systems Engineering in Large‐Scale Emergencies

INSIGHTVolume 8, Issue 3 p. 3-4 From the Editor The Use of Systems Engineering in Large-Scale Emergencies First published: 23 June 2015 https://doi.org/10.1002/inst.2006833AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume8, Issue3July 2006Pages 3-4 RelatedInformation

A collaborative data management framework for concurrent product and process development

This paper presents a systematic approach, from domain investigation and functional requirement analysis, through modelling to implementation, to development of a collaborative data management framework that makes use of object-oriented techniques. The framework can support information sharing and team data management in concurrent product and process development by providing functions for project configuration, personal product and process item management, and team library management. Establishing this framework involves: I identification of functional requirements for computer-aided engineering data management through the investigation of a concurrent product delivery process with emphasis on product and process development; ii use of system engineering and objectoriented modelling techniques for development of the proposed framework. A product structure and a project configuration are devised for the development of an object model, and a functional model. They are used together as the basic construct of the collaborative team data management framework.

7.5.3 “If I Could Do That, Then I Could…” System Engineering in a Research and Development Environment ‐ As Illustrated by the Evolution of the Space Shuttle Tiles

AbstractResearchers and Project Managers in a research and development environment often resist the notion that a structured process such as System Engineering can be applied to their environment. While it is impossible to invent to a schedule, it is certainly possible and necessary to use good engineering practices in the research and development process. System Engineering is one of these necessary engineering disciplines.To illustrate the use of System Engineering in its applications in R&D, this paper will follow the development of a new ceramic material from its origin in the research laboratories in the early 1960s through its application to the Space Shuttle thermal protection studies in the late 1960s and its production scale‐up as the Space Shuttle tile material in the 1970s, to its ultimate potential in the current exploratory studies as a matrix for repair of human bone in the 1990s.The author was closely associated with the material throughout much of its history. In the mid‐ to late 1960s the author was deputy director of the Materials and Structures Laboratory (where the material was invented by Robert Beasley) in the Lockheed Palo Alto, California, Research Facility. The author later became program manager of the Space Shuttle Tile Program.