Systems engineering techniques are used in complex projects: from spacecraft to chip design, from robotics to creating large software products to building bridges, Systems engineering uses a host of tools that include modeling & simulation, requirements analysis, and scheduling to manage complexity

Systems engineering is an interdisciplinary field of engineering, that focuses on the development and organization of complex artificial systems. In Academia, Pedagogy, Physical sciences, Earth sciences, Human sciences and Social sciences Engineering is the Discipline and Profession of applying technical and scientific Knowledge and System (from Latin systēma, in turn from Greek systēma is a set of interacting or interdependent Entities, real or abstract Systems engineering is defined by INCOSE as "a branch of engineering whose responsibility is creating and executing an interdisciplinary process to ensure that customer and stakeholder's needs are satisfied in a high quality, trustworthy, cost efficient and schedule compliant manner throughout a system's entire life cycle, from development to operation to disposal. The International Council on Systems Engineering or INCOSE (pronounced as in-co-see is a Non-profit membership organization dedicated to the advancement of This process is usually comprised of the following seven tasks: State the problem, Investigate alternatives, Model the system, Integrate, Launch the system, Assess performance, and Re-evaluate. The systems engineering process is not sequential: the tasks are performed in a parallel and iterative manner. "^[1]

History

QFD House of Quality for Enterprise Product Development Processes

The term systems engineering can be traced back to Bell Telephone Laboratories in the 1940s. Bell Laboratories (also known as Bell Labs and formerly known as AT&T Bell Laboratories and Bell Telephone Laboratories) is the Research organization ^[2] The need to identify and manipulate the properties of a system as a whole, which in complex engineering projects may greatly differ from the sum of the parts' properties, motivated the Department of Defense, NASA, and other industries to apply the discipline. The United States Department of Defense ( DOD or DoD) is the federal department charged with coordinating and supervising all agencies and functions of the government The National Aeronautics and Space Administration ( NASA, ˈnæsə is an agency of the United States government, responsible for the nation's public space program

When it was no longer possible to rely on design evolution to improve upon a system, and the existing tools were not sufficient to meet growing demands, new methods began to be developed that addressed the complexity directly. ^[3] The evolution of Systems Engineering as it continues to this day, comprises development and identification of new methods and modelling techniques: methods that can aid in better comprehension of engineering systems as they grow more complex. Some popular tools often used in the Systems Engineering context such as UML, QFD, IDEF0 were developed during these times. Unified Modeling Language ( UML) is a standardized general-purpose Modeling language in the field of Software engineering. Quality function deployment (QFD was originally developed in Japan by Yoji Akao in 1966 when the author combined his work in quality assurance and quality control points with function IDEF ( Integration DEFinition) is a family of Modeling languages in the field of Software engineering.

In 1990, a professional society for systems engineering, the National Council on Systems Engineering (NCOSE), was founded by representatives from a number of US corporations and organizations. NCOSE was created to address the need for improvements in systems engineering practices and education. As a result of growing involvement from systems engineers outside of the U. S. , the name of the organization was changed to the International Council on Systems Engineering (INCOSE) in 1995. The International Council on Systems Engineering or INCOSE (pronounced as in-co-see is a Non-profit membership organization dedicated to the advancement of ^[4] Schools in several countries offer graduate programs in systems engineering, and continuing education options are also available for practicing engineers^[5]. Continuing education is an all encompassing term within a broad spectrum of post-secondary learning activities and programs

Concept

Systems Engineering signifies both an approach and, more recently, as a discipline in engineering. The aim of education in Systems Engineering is to simply formalize the approach and in doing so, identify new methods and research opportunities similar to the way it occurs in other fields of engineering. As an approach, Systems Engineering is holistic and interdisciplinary in flavor.

Holistic view

Systems Engineering focuses on defining customer needs and required functionality early in the development cycle, documenting requirements, then proceeding with design synthesis and system validation while considering the complete problem, the system lifecycle. In Systems engineering, the system lifecycle is an examination of a system or proposed system that addresses all phases of its existence to include system design and development Oliver et al. claim that the systems engineering process can be decomposed into

• a Systems Engineering Technical Process, and
• a Systems Engineering Management Process. A systems engineering process is a Process for applying Systems engineering techniques to the development of all kinds of systems

Within Oliver's model, the goal of the Management Process is to organize the technical effort in the lifecycle, while the Technical Process includes assessing available information, defining effectiveness measures, to create a behavior model, create a structure model, perform trade-off analysis, and create sequential build & test plan^[11].

Depending on their application, although there are several models that are used in the industry, all of them aim to identify the relation between the various stages mentioned above and incorporate feedback. Examples of such models are: Waterfall model, and VEE model^[12]. The waterfall model is a sequential Software development process (a process for the creation of software in which development is seen as flowing steadily downwards The V-Model (or VEE model is a Systems development Model designed to simplify the understanding of the Complexity associated with developing Systems

Interdisciplinary field

System development often requires contribution from diverse technical disciplines. ^[13] By providing a systems (holistic) view of the development effort, SE helps meld all the technical contributors into a unified team effort, forming a structured development process that proceeds from concept to production to operation and, in some cases, through to termination and disposal. Distinguish from the suffix -holism, which describes addictions

This perspective is often replicated in educational programs in that Systems Engineering courses are taught by faculty from other engineering departments which, in effect, helps create an interdisciplinary environment^[14][15].

Managing complexity

The need for systems engineering arose with the increase in complexity of systems and projects. When speaking in this context, complexity is not limited to engineering systems but also to human organizations; at the same time, a system can become more complex not only due to increase in size — as in the International Space Station — but also with increase in the amount of data, variables, or the number of fields that are simultaneously involved in the design.

For instance, development of smarter control algorithms, microprocessor design, and analysis of environmental systems, also come within the purview of Systems engineering. Systems Engineering encourages use of tools and methods to better comprehend and manage complexity in systems. Some examples of such tools are:^[16].

• Modeling and Simulation,
• Optimization,
• System dynamics,
• Systems analysis,
• Statistical analysis,
• Reliability analysis, and
• Decision making

Taking an interdisciplinary approach to engineering systems is inherently complex, since the behavior of and interaction among system components are not always well defined or understood (at least at the outset). In Mathematics, the term optimization, or mathematical programming, refers to the study of problems in which one seeks to minimize or maximize a real function System dynamics is an approach to understanding the behaviour of Complex systems over time Systems analysis is the Interdisciplinary part of Science, dealing with analysis of sets of interacting or entities the Systems often prior to their automation Statistics is a mathematical science pertaining to the collection analysis interpretation or explanation and presentation of Data. Reliability engineering is an Engineering field that deals with the study of Reliability: the ability of a System or component to perform its required Decision making can be regarded as an outcome of mental processes ( cognitive process) leading to the selection of a course of action among several alternatives In Academia, Pedagogy, Physical sciences, Earth sciences, Human sciences and Social sciences Behavior or behaviour (see spelling differences) refers to the actions or Reactions of an object or Organism, usually In Mathematics, the term well-defined is used to specify that a certain concept or object (a function, a property, a relation, etc Defining and characterizing such systems and subsystems, and the interactions among them, is one of the goals of systems engineering. System (from Latin systēma, in turn from Greek systēma is a set of interacting or interdependent Entities, real or abstract In doing so, the gap that exists between informal requirements from users, operators, and marketing organizations, and technical specifications that an engineer can implement is successfully bridged

Scope

The scope of Systems Engineering activities

One way to understand the motivation behind systems engineering is to see it as a method, or practice, to identify and improve common rules that exist within a wide variety of systems. Keeping this in mind, the principles of Systems Engineering — holism, emergence, behavior, boundary, et al — can be applied to any system, complex or otherwise, provided systems thinking is employed at all levels. Systems thinking is a unique approach to problem solving in that it views certain "problems" as parts of an overall system rather than focusing on individual outcomes and contributing ^[17] Besides defense and aerospace, many information and technology based companies, software development firms, and industries in the field of electronics & communications require Systems engineers as part of their team^[18].

An analysis by the INCOSE Systems Engineering center of excellence (SECOE) indicates that optimal effort spent on Systems Engineering is about 15-20% of the total project effort. ^[19] At the same time, studies have shown that Systems Engineering essentially leads to reduction in costs among other benefits. ^[19] However, no quantitative survey at a larger scale encompassing a wide variety of industries has been conducted until recently. Such studies are underway to determine the effectiveness and quantify the benefits of Systems engineering. ^{[20] [21]}

Systems engineering encourages the use of modeling and simulation to validate assumptions or theories on systems and the interactions within them. ^[22][23]

Use of methods that allow early detection of possible failures, in Safety engineering, are integrated into the design process. Safety engineering is an applied science strongly related to Systems engineering and the subset System Safety Engineering At the same time, decisions made at the beginning of a project whose consequences are not clearly understood can have enormous implications later in the life of a system, and it is the task of the modern systems engineer to explore these issues and make critical decisions. There is no method which guarantees that decisions made today will still be valid when a system goes into service years or decades after it is first conceived but there are techniques to support the process of systems engineering. Examples include the use of soft systems methodology, Jay Wright Forrester's System dynamics method and the Unified Modeling Language (UML), each of which are currently being explored, evaluated and developed to support the engineering decision making process. Jay Wright Forrester (born 14 July 1918, Climax Nebraska) is a pioneer American Computer engineer, Systems scientist System dynamics is an approach to understanding the behaviour of Complex systems over time Unified Modeling Language ( UML) is a standardized general-purpose Modeling language in the field of Software engineering.

Education

Education in Systems engineering is often seen as an extension to the regular engineering courses^[24], reflecting the industry attitude that engineering students need a foundational background in one of the traditional engineering disciplines (e. g. industrial engineering, computer engineering, electrical engineering) plus practical, real-world experience in order to be effective as systems engineers. Undergraduate university programs in systems engineering are rare. INCOSE maintains a continuously updated Directory of Systems Engineering Academic Programs worldwide. The International Council on Systems Engineering or INCOSE (pronounced as in-co-see is a Non-profit membership organization dedicated to the advancement of ^[5] As of 2006, there are about 75 institutions in United States that offer 130 undergraduate and graduate programs in Systems engineering. Education in Systems engineering can be taken as SE-centric or Domain-centric. SE-centric programs treat Systems engineering as a separate discipline and all the courses are taught focusing on Systems engineering practice and techniques. Domain-centric programs offer Systems engineering as an option that can be exercised with another major field in engineering. Both these patterns cater to educate the systems engineer who is able to oversee interdisciplinary projects with the depth required of a core-engineer. ^[25]

Specific degrees in the field include:

• MSEE Systems Engineering and Engineering Management

Tools and work

Systems Engineering tools are strategies, procedures, and techniques that aid in performing systems engineering on a project or product. A Strategy is a long term plan of action designed to achieve a particular goal, most often "winning For all other uses see Project (disambiguation. A project, as defined in the field of Project management, consists of a temporary The purpose of these tools vary from database management, graphical browsing, simulation, and reasoning, to document production, neutral import/export and more^[26].

The systems engineering process

Depending on their application, tools are used for various stages of the systems engineering process. A systems engineering process is a Process for applying Systems engineering techniques to the development of all kinds of systems

Tools for graphic representations

Initially, when the primary purpose of a systems engineer is to comprehend a complex problem, graphic representations of a system are used to communicate a system's functional and data requirements^[27]. Common graphical representations include:

• Functional Flow Block Diagram (FFBD)
• Data Flow Diagram (DFD)
• N2 (N-Squared) Chart
• IDEF0 Diagram,
• Use Case and
• Sequence Diagram.

A graphical representation relates the various subsystems or parts of a system through functions, data, or interfaces. Any or each of the above methods are used in an industry based on its requirements. For instance, the N2 chart may be used where interfaces between systems is important. Part of the design phase is to create structural and behavioral models of the system.

Once the requirements are understood, it is now the responsibility of a Systems engineer to refine them, and to determine, along with other engineers, the best technology for a job. At this point starting with a trade study, systems engineering encourages the use of weighted choices to determine the best option. A decision matrix, or Pugh method, is one way (QFD is another) to make this choice while considering all criteria that are important. A decision matrix is used to describe a Multi-Criteria Decision Analysis (MCDA problem The trade study in turn informs the design which again affects the graphic representations of the system (without changing the requirements). In an SE process, this stage represents the iterative step that is carried out until a feasible solution is found. A decision matrix is often populated using techniques such as statistical analysis, reliability analysis, system dynamics (feedback control), and optimization methods.

At times a systems engineer must assess the existence of feasible solutions, and rarely will customer inputs arrive at only one. Some customer requirements will produce no feasible solution. Constraints must be traded to find one or more feasible solutions. The customers' wants become the most valuable input to such a trade and cannot be assumed. Those wants/desires may only be discovered by the customer once the customer finds that he has overconstrained the problem. Most commonly, many feasible solutions can be found, and a sufficient set of constraints must be defined to produce an optimal solution. This situation is at times advantageous because one can present an opportunity to improve the design towards one or many ends, such as cost or schedule. Various modeling methods can be used to solve the problem including constraints and a cost function.

Systems Modeling Language (SysML), a modeling language used for systems engineering applications, supports the specification, analysis, design, verification and validation of a broad range of complex systems. The Systems Modeling Language ( SysML) is a Domain-Specific Modeling language for Systems engineering. ^[28]

Closely related fields

Many related fields may be considered tightly coupled to systems engineering. These areas have contributed to the development of systems engineering as a distinct entity.

Cognitive systems engineering

Cognitive systems engineering is Systems Engineering with the human integrated as an explicit part of the system. It draws from the direct application of centuries of experience and research in both Cognitive Psychology and Systems Engineering. Cognitive Systems Engineering focuses on how man interacts with the environment and attempts to design systems that explicitly respect how humans think, and works at the intersection of: problems imposed by the world; needs of agents (human, hardware, and software); and interaction among the various systems and technologies that affect (and/or are affected by) the situation. Sometimes referred to as Human Engineering or Human Factors Engineering, this subject also deals with ergonomics in systems design. See also The Human Factor (disambiguation. Human factors is a term that covers The science of understanding the properties Ergonomics is the Scientific discipline concerned with Designing according to the human needs and the profession that applies theory principles data and methods

Configuration Management

Like Systems Engineering, Configuration Management as practiced in the defence and aerospace industry is a broad systems-level practice. Configuration management (CM is a field of Management that focuses on establishing and maintaining consistency of a product's performance and its functional and physical attributes The defense industry, also called the military industry, is comprised of Government and commercial Industry involved in research development This article is about the field of research and industry for the corporation see The Aerospace Corporation Aerospace comprises the The field parallels the taskings of Systems Engineering; where Systems Engineering deals with requirements development, allocation to development items and verification, Configuration Management deals with requirements capture, traceability to the development item, and audit of development item to ensure that it has achieved the desired functionality that Systems Engineering and/or Test and Verification Engineering have proven out through objective testing.

Control engineering

Control engineering and it's design and implementation of control systems, used extensively in nearly every industry, is a large sub-field of Systems Engineering. Control engineering is the Engineering discipline that focuses on mathematical modeling of Systems of a diverse nature analyzing their dynamic behavior A control system is a device or set of devices to manage command direct or regulate the behavior of other devices or systems The cruise control on an automobile and the guidance system for a ballistic missile are two examples. Control systems theory is an active field of applied mathematics involving the investigation of solution spaces and the development of new methods for the analysis of the control process.

Industrial engineering

Industrial engineering is a branch of engineering that concerns the development, improvement, implementation and evaluation of integrated systems of people, money, knowledge, information, equipment, energy, material and process. Industrial engineering is also not good and shit Operations management, Systems engineering, production engineering manufacturing engineering or manufacturing systems Engineering is the Discipline and Profession of applying technical and scientific Knowledge and Industrial engineering draws upon the principles and methods of engineering analysis and synthesis, as well as mathematical, physical and social sciences together with the principles and methods of engineering analysis and design to specify, predict and evaluate the results to be obtained from such systems.

Interface design

Interface design and its specification are concerned with assuring that the pieces of a system connect and inter-operate with other parts of the system and with external systems as necessary. User interface design or user interface engineering is the design of Computers Appliances machines mobile communication devices, Software Interface design also includes assuring that system interfaces be able to accept new features, including mechanical, electrical, and logical interfaces, including reserved wires, plug-space, command codes and bits in communication protocols. This is known as extensibility. In Software engineering, extensibility (sometimes confused with Forward compatibility) is a System design principle where the implementation takes into Human-Computer Interaction (HCI) or Human-Machine Interface (HMI) is another aspect of interface design, and is a critical aspect of modern Systems Engineering. Human–computer interaction or HCI is the study of interaction between people ( users and Computers It is often regarded as the intersection of Systems engineering principles are applied in the design of network protocols for local-area networks and wide-area networks. In the field of Telecommunications, a communications protocol is the set of standard rules for data representation signaling authentication and error detection required to Wide Area Network ( WAN) is a Computer network that covers a broad area (i

Operations research

Operations research supports systems engineering. Operations Research (OR in North America South Africa and Australia and Operational Research in Europe is an interdisciplinary branch of applied Mathematics and The tools of operations research are used in systems analysis, decision making, and trade studies. Several schools teach SE courses within the operations research or industrial engineering department, highlighting the role systems engineering plays in complex projects. Operations Research (OR in North America South Africa and Australia and Operational Research in Europe is an interdisciplinary branch of applied Mathematics and Industrial engineering is also not good and shit Operations management, Systems engineering, production engineering manufacturing engineering or manufacturing systems operations research, briefly, is concerned with the optimization of a process under multiple constraints (see articles for discussion: [1] and [2]). Operations Research (OR in North America South Africa and Australia and Operational Research in Europe is an interdisciplinary branch of applied Mathematics and

Reliability engineering

Reliability engineering is the discipline of ensuring a system will meet the customer's expectations for reliability throughout its life; i. Reliability engineering is an Engineering field that deals with the study of Reliability: the ability of a System or component to perform its required e. it will not fail more frequently than expected. Reliability engineering applies to all aspects of the system. It is closely associated with maintainability, availability and logistics engineering. In Software testing, based on the definition given in ISO 9126, the ease with which a software product can be modified in order to correct defects meet In Telecommunications and Reliability theory, the term availability has the following meanings 1 Logistic Engineering deals with the science of Logistics. Logistics is about the Purchasing, Transport, Storage, distribution Reliability engineering is always a critical component of safety engineering, as in failure modes and effects analysis (FMEA) and hazard fault tree analysis, and of security engineering. A failure modes and effects analysis (FMEA is a Procedure for analysis of potential failure modes within a system for classification by severity or determination of the effect Fault tree analysis (FTA is a failure analysis in which an undesired state of a system is analyzed using Boolean logic to combine a series of lower-level events Security engineering is a specialized field of Engineering that deals with the development of detailed engineering plans and designs for security features controls and systems Reliability engineering relies heavily on statistics, probability theory and reliability theory for its tools and processes. Statistics is a mathematical science pertaining to the collection analysis interpretation or explanation and presentation of Data. Probability theory is the branch of Mathematics concerned with analysis of random phenomena Reliability theory developed apart from the mainstream of Probability and Statistics.

Performance engineering

Performance engineering is the discipline of ensuring a system will meet the customer's expectations for performance throughout its life. Within Systems engineering, performance engineering encompasses the set of roles skills activities practices tools and deliverables applied at every phase of the Systems Performance is usually defined as the speed with which a certain operation is executed or the capability of executing a number of such operations in the unit of time. It may be degraded where operations queue to be executed whenever the capacity is of the system is limited. For example, the performance of a packed-switched network would be characterised by the end-to-end packet transit delay or the number of packets switched within an hour. The design of performant systems makes use of analytical or simulation modeling, whereas the delivery of performant implementation involves thorough performance testing. Performance engineering relies heavily on statistics, queuing theory and probability theory for its tools and processes.

Safety engineering

The techniques of safety engineering may be applied by non-specialist engineers in designing complex systems to minimize the probability of safety-critical failures. Safety engineering is an applied science strongly related to Systems engineering and the subset System Safety Engineering The "System Safety Engineering" function helps to identify "safety hazards" in emerging designs, and may assist with techniques to "mitigate" the effects of (potentially) hazardous conditions that cannot be designed out of systems.

Security engineering

Security engineering can be viewed as an interdisciplinary field that integrates the community of practice for control systems design, reliability, safety and systems engineering. Security engineering is a specialized field of Engineering that deals with the development of detailed engineering plans and designs for security features controls and systems In Academia, Pedagogy, Physical sciences, Earth sciences, Human sciences and Social sciences "CoP" redirects here This article is about "Communities of Practice" It may involve such sub-specialties as authentication of system users, system targets, and others: people, objects, and processes. Authentication (from Greek αυθεντικός real or genuine from authentes author is the act of establishing or confirming something (or someone as

Software engineering

From its beginnings Software engineering has helped shape modern Systems Engineering practice. Software engineering is the application of a systematic disciplined quantifiable approach to the development operation and maintenance of Software. The techniques used in the handling of complexes of large software-intensive systems has had a major effect on the shaping and reshaping of the tools, methods and processes of SE.

See also

References

Further reading

• Harold Chestnut, Systems Engineering Methods. Harold (Hal Chestnut ( 25 November 1917, Albany - Schenectady NY 29 August 2001) was an American Electrical Wiley, 1967.
• Harry H. Goode, Robert E. Harry H Goode ( 30 June 1909 &ndash 30 October 1960) was an American Computer engineer and Systems engineer and Professor Machol System Engineering: An Introduction to the Design of Large-scale Systems, McGraw-Hill, 1957.
• David W. Oliver, Timothy P. Kelliher & James G. Keegan, Jr. Engineering Complex Systems with Models and Objects. McGraw-Hill, 1997.
• Simon Ramo, Robin K. Simon Ramo (born May 13, 1913) is an American physicist engineer and business leader St. Clair, The Systems Approach: Fresh Solutions to Complex Problems Through Combining Science and Practical Common Sense, Anaheim, CA: KNI, Inc, 1998.
• Andrew P. Sage, Systems Engineering. Wiley IEEE, 1992.
• Andrew P. Sage, Stephen R. Olson, Modeling and Simulation in Systems Engineering, 2001.

External links

• INCOSE homepage.
• Systems Engineering Fundamentals. Defense Acquisition University Press, 2001
• Shishko, Robert et al. NASA Systems Engineering Handbook. NASA Center for AeroSpace Information, 1995
• Derek Hitchins, World Class Systems Engineering, 1997.