Systems engineering is an interdisciplinary field of engineering that focuses on how complex engineering projects should be designed and managed over the life cycle of the project. Issues such as logistics , the coordination of different teams, and automatic control of machinery become more difficult when dealing with large, complex projects. Systems engineering deals with work-processes and tools to handle such projects, and it overlaps with both technical and human-centered disciplines such as control engineering , industrial engineering , organizational studies , and project management . History The term systems engineering can be traced back to Bell Telephone Laboratories in the 1940s. 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. 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. The evolution of systems engineering, which continues to this day, comprises the development and identification of new methods and modeling techniques. These methods aid in better comprehension of engineering systems as they grow more complex. Popular tools that are often used in the systems engineering context were developed during these times, including USL , UML , QFD , and IDEF0 . In 1990, a professional society for systems engineering, the National Council on Systems Engineering (NCOSE), was founded by representatives from a number of U.S. 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. Schools in several countries offer graduate programs in systems engineering, and continuing education options are also available for practicing engineers. Concept Some definitions "An interdisciplinary approach and means to enable the realization of successful systems" — INCOSE handbook, 2004. "System engineering is a robust approach to the design, creation, and operation of systems. In simple terms, the approach consists of identification and quantification of system goals, creation of alternative system design concepts, performance of design trades, selection and implementation of the best design, verification that the design is properly built and integrated, and post-implementation assessment of how well the system meets (or met) the goals." — NASA Systems Engineering Handbook, 1995. "The Art and Science of creating effective systems, using whole system, whole life principles" OR "The Art and Science of creating optimal solution systems to complex issues and problems" — Derek Hitchins, Prof. of Systems Engineering, former president of INCOSE (UK), 2007. "The concept from the engineering standpoint is the evolution of the engineering scientist, i.e., the scientific generalist who maintains a broad outlook. The method is that of the team approach. On large-scale-system problems, teams of scientists and engineers, generalists as well as specialists, exert their joint efforts to find a solution and physically realize it...The technique has been variously called the systems approach or the team development method." — Harry H. Goode Robert E. Machol, 1957. "The systems engineering method recognizes each system is an integrated whole even though composed of diverse, specialized structures and sub-functions. It further recognizes that any system has a number of objectives and that the balance between them may differ widely from system to system. The methods seek to optimize the overall system functions according to the weighted objectives and to achieve maximum compatibility of its parts." — Systems Engineering Tools by Harold Chestnut, 1965. Systems engineering signifies both an approach and, more recently, 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 flavour. Origins and traditional scope The traditional scope of engineering embraces the design, development, production and operation of physical systems, and systems engineering, as originally conceived, falls within this scope. "Systems engineering", in this sense of the term, refers to the distinctive set of concepts, methodologies, organizational structures (and so on) that have been developed to meet the challenges of engineering functional physical systems of unprecedented complexity. The Apollo program is a leading example of a systems engineering project. The use of the term " system engineer " has evolved over time to embrace a wider, more holistic concept of "systems" and of engineering processes. This evolution of the definition has been a subject of ongoing controversy , and the term continues to be applied to both the narrower and broader scope. Holistic view Systems engineering focuses on analyzing and eliciting 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 . Oliver et al. claim that the systems engineering process can be decomposed into a Systems Engineering Technical Process , and a Systems Engineering Management Process . 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 . 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 include the Waterfall model and the VEE model . Interdisciplinary field System development often requires contribution from diverse technical disciplines. By providing a systems ( holistic ) view of the development effort, systems engineering helps mold 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, to termination and disposal. 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. Managing complexity The need for systems engineering arose with the increase in complexity of systems and projects, in turn exponentially increasing the possibility of component friction, and therefore the reliability of the design. When speaking in this context, complexity incorporates not only engineering systems, but also the logical human organization of data. At the same time, a system can become more complex due to an increase in size as well as with an increase in the amount of data, variables, or the number of fields that are involved in the design. The International Space Station is an example of such a system. IMG title="Systemswbrengineering" height=199 alt="" src="http://upload.wikimedia.org/wikipedia/commons/thumb/c/c9/STS-134_International_Space_Station_after_undocking.jpg/300px-STS-134_International_Space_Station_after_undocking.jpg" width=300 IMG title="Systemswbrengineering" height=11 alt="" src="http://bits.wikimedia.org/skins-1.17/common/images/magnify-clip.png" width=15 real_src="http://bits.wikimedia.org/skins-1.17/common/images/magnify-clip.png" The International Space Station is an example of a largely complex system requiring Systems Engineering. The development of smarter control algorithms, microprocessor design, and analysis of environmental systems also come within the purview of systems engineering. Systems engineering encourages the use of tools and methods to better comprehend and manage complexity in systems. Some examples of these tools can be seen here: System model , Modeling , and Simulation , System architecture , 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 is not always immediately well defined or understood. Defining and characterizing such systems and subsystems and the interactions among them is one of the goals of systems engineering. In doing so, the gap that exists between informal requirements from users, operators, marketing organizations, and technical specifications is successfully bridged. Scope IMG title="Systemswbrengineering" height=288 alt="" src="http://upload.wikimedia.org/wikipedia/commons/thumb/5/5c/SE_Activities.jpg/400px-SE_Activities.jpg" width=400 real_src="http://upload.wikimedia.org/wikipedia/commons/thumb/5/5c/SE_Activities.jpg/400px-SE_Activities.jpg" IMG title="Systemswbrengineering" height=11 alt="" src="http://bits.wikimedia.org/skins-1.17/common/images/magnify-clip.png" width=15 real_src="http://bits.wikimedia.org/skins-1.17/common/images/magnify-clip.png" 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, emergent behavior, boundary, et al. — can be applied to any system, complex or otherwise, provided systems thinking is employed at all levels. 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. 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. At the same time, studies have shown that systems engineering essentially leads to reduction in costs among other benefits. 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. Systems engineering encourages the use of modeling and simulation to validate assumptions or theories on systems and the interactions within them. Use of methods that allow early detection of possible failures, in safety engineering , are integrated into the design process. 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. Education Main article: List of systems engineering at universities Education in systems engineering is often seen as an extension to the regular engineering courses, reflecting the industry attitude that engineering students need a foundational background in one of the traditional engineering disciplines (e.g. automotive engineering , mechanical engineering , 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. Typically, systems engineering is offered at the graduate level in combination with interdisciplinary study. INCOSE maintains a continuously updated Directory of Systems Engineering Academic Programs worldwide. As of 2009, there are about 80 institutions in United States that offer 165 undergraduate and graduate programs in systems engineering. Education in systems engineering can be taken as Systems-centric or Domain-centric . Systems-centric programs treat systems engineering as a separate discipline and most of the courses are taught focusing on systems engineering principles and practice. Domain-centric programs offer systems engineering as an option that can be exercised with another major field in engineering. Both of these patterns strive to educate the systems engineer who is able to oversee interdisciplinary projects with the depth required of a core-engineer. Systems engineering topics Systems engineering tools are strategies , procedures , and techniques that aid in performing systems engineering on a project or product . The purpose of these tools vary from database management, graphical browsing, simulation, and reasoning, to document production, neutral import/export and more. System There are many definitions of what a system is in the field of systems engineering. Below are a few authoritative definitions: ANSI / EIA -632-1999: "An aggregation of end products and enabling products to achieve a given purpose." IEEE Std 1220-1998: "A set or arrangement of elements and processes that are related and whose behavior satisfies customer/operational needs and provides for life cycle sustainment of the products." ISO/IEC 15288:2008: "A combination of interacting elements organized to achieve one or more stated purposes." NASA Systems Engineering Handbook: "(1) The combination of elements that function together to produce the capability to meet a need. The elements include all hardware, software, equipment, facilities, personnel, processes, and procedures needed for this purpose. (2) The end product (which performs operational functions) and enabling products (which provide life-cycle support services to the operational end products) that make up a system." INCOSE Systems Engineering Handbook: "homogeneous entity that exhibits predefined behavior in the real world and is composed of heterogeneous parts that do not individually exhibit that behavior and an integrated configuration of components and/or subsystems." INCOSE : "A system is a construct or collection of different elements that together produce results not obtainable by the elements alone. The elements, or parts, can include people, hardware, software, facilities, policies, and documents; that is, all things required to produce systems-level results. The results include system level qualities, properties, characteristics, functions, behavior and performance. The value added by the system as a whole, beyond that contributed independently by the parts, is primarily created by the relationship among the parts; that is, how they are interconnected." The systems engineering process Depending on their application, tools are used for various stages of the systems engineering process : IMG title="Systemswbrengineering" height=413 alt=Center src="http://upload.wikimedia.org/wikipedia/commons/thumb/7/79/Systems_Engineering_Process.jpg/600px-Systems_Engineering_Process.jpg" width=600 real_src="http://upload.wikimedia.org/wikipedia/commons/thumb/7/79/Systems_Engineering_Process.jpg/600px-Systems_Engineering_Process.jpg" Using models Models play important and diverse roles in systems engineering. A model can be defined in several ways, including: An abstraction of reality designed to answer specific questions about the real world An imitation, analogue, or representation of a real world process or structure; or A conceptual, mathematical, or physical tool to assist a decision maker. Together, these definitions are broad enough to encompass physical engineering models used in the verification of a system design, as well as schematic models like a functional flow block diagram and mathematical (i.e., quantitative) models used in the trade study process. This section focuses on the last. The main reason for using mathematical models and diagrams in trade studies is to provide estimates of system effectiveness, performance or technical attributes, and cost from a set of known or estimable quantities. Typically, a collection of separate models is needed to provide all of these outcome variables. The heart of any mathematical model is a set of meaningful quantitative relationships among its inputs and outputs. These relationships can be as simple as adding up constituent quantities to obtain a total, or as complex as a set of differential equations describing the trajectory of a spacecraft in a gravitational field. Ideally, the relationships express causality, not just correlation. 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. Common graphical representations include: Functional Flow Block Diagram (FFBD) VisSim Data Flow Diagram (DFD) N2 (N-Squared) Chart IDEF0 Diagram UML Use case diagram UML Sequence diagram USL Function Maps and Type Maps . Enterprise Architecture frameworks , like TOGAF , MODAF , Zachman Frameworks etc. 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. 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. Universal Systems Language (USL) is a systems oriented object modeling language with executable (computer independent) semantics for defining complex systems, including software. Related Fields and Sub-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 (CSE) is a specific approach to the description and analysis of human-machine systems or sociotechnical systems . The three main themes of CSE are how humans cope with complexity, how work is accomplished by the use of artefacts, and how human-machine systems and socio-technical systems can be described as joint cognitive systems. CSE has since its beginning become a recognised scientific discipline, sometimes also referred to as Cognitive Engineering . The concept of a Joint Cognitive System (JCS) has in particular become widely used as a way of understanding how complex socio-technical systems can be described with varying degrees of resolution. The more than 20 years of experience with CSE has been described extensively. Configuration Management Like systems engineering, Configuration Management as practiced in the defence and aerospace industry is a broad systems-level practice. 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 its design and implementation of control systems , used extensively in nearly every industry, is a large sub-field of systems engineering. 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 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. 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 . Human-Computer Interaction (HCI) or Human-Machine Interface (HMI) is another aspect of interface design, and is a critical aspect of modern systems engineering. Systems engineering principles are applied in the design of network protocols for local-area networks and wide-area networks . Mechatronic engineering Mechatronic engineering , like Systems engineering, is a multidisciplinary field of engineering that uses dynamical systems modeling to express tangible constructs. In that regard it is almost indistinguishable from Systems Engineering, but what sets it apart is the focus on smaller details rather than larger generalizations and relationships. As such, both fields are distinguished by the scope of their projects rather than the methodology of their practice. Operations research Operations research supports systems engineering. 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 , briefly, is concerned with the optimization of a process under multiple constraints. Performance engineering Performance engineering is the discipline of ensuring a system will meet the customer's expectations for performance throughout its life. 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 a unit of time. Performance may be degraded when an operations queue to be executed is throttled when the capacity is of the system is limited. For example, the performance of a packet-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 high-performance systems makes use of analytical or simulation modeling, whereas the delivery of high-performance implementation involves thorough performance testing. Performance engineering relies heavily on statistics , queueing theory and probability theory for its tools and processes. Program management and project management. Program management (or programme management) has many similarities with systems engineering, but has broader-based origins than the engineering ones of systems engineering. Project management is also closely related to both program management and systems engineering. Proposal engineering Proposal engineering is the application of scientific and mathematical principles to design, construct, and operate a cost-effective proposal development system. Basically, proposal engineering uses the " systems engineering process " to create a cost effective proposal and increase the odds of a successful proposal. Reliability engineering Reliability engineering is the discipline of ensuring a system will meet the customer's expectations for reliability throughout its life; i.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 . 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 . Reliability engineering relies heavily on statistics , probability theory and reliability 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. 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. It may involve such sub-specialties as authentication of system users, system targets and others: people, objects and processes. Software engineering From its beginnings, software engineering has helped shape modern systems engineering practice. 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 Lists List of production topics List of systems engineers List of types of systems engineering List of systems engineering at universities IMG title="Systemswbrengineering" height=23 alt="" src="http://upload.wikimedia.org/wikipedia/commons/thumb/0/00/Complex-adaptive-system.jpg/32px-Complex-adaptive-system.jpg" width=32 real_src="http://upload.wikimedia.org/wikipedia/commons/thumb/0/00/Complex-adaptive-system.jpg/32px-Complex-adaptive-system.jpg" Systems science portal IMG title="Systemswbrengineering" height=28 alt="" src="http://upload.wikimedia.org/wikipedia/commons/thumb/7/7a/Nuvola_apps_kcmsystem.svg/28px-Nuvola_apps_kcmsystem.svg.png" width=28 real_src="http://upload.wikimedia.org/wikipedia/commons/thumb/7/7a/Nuvola_apps_kcmsystem.svg/28px-Nuvola_apps_kcmsystem.svg.png" Engineering portal Topics Management cybernetics Enterprise systems engineering System of systems engineering (SoSE) References ^ Schlager, J. (July 1956). "Systems engineering: key to modern development". IRE Transactions EM-3 (3): 64–66. doi : 10.1109/IRET-EM.1956.5007383 . ^ Arthur D. Hall (1962). A Methodology for Systems Engineering . Van Nostrand Reinhold. ISBN 0442030460 . ^ Andrew Patrick Sage (1992). Systems Engineering . Wiley IEEE. ISBN 0471536393 . ^ INCOSE Resp Group (11 June 2004). "Genesis of INCOSE" . http://www.incose.org/about/genesis.aspx . Retrieved 2006-07-11 . ^ a b INCOSE Education Research Technical Committee. "Directory of Systems Engineering Academic Programs" . http://www.incose.org/educationcareers/academicprogramdirectory.aspx . Retrieved 2006-07-11 . ^ Systems Engineering Handbook, version 2a . INCOSE. 2004. ^ NASA Systems Engineering Handbook . NASA . 1995. SP-610S. ^ "Derek Hitchins" . INCOSE UK . http://incose.org.uk/people-dkh.htm . Retrieved 2007-06-02 . ^ Goode, Harry H.; Robert E. Machol (1957). System Engineering: An Introduction to the Design of Large-scale Systems . McGraw-Hill. p.8. LCCN 56-11714 . SPAN title="ctx_ver=Z39.88-2004rft_val_fmt=info:ofi/fmt:kev:mtx:bookrft.genre=bookrft.btitle=System+Engineering:+An+Introduction+to+the+Design+of+Large-scale+Systemsrft.aulast=Gooderft.aufirst=Harry+H.rft.au=Goode, Harry+H.rft.date=1957rft.pages=p.wbr8rft.pub=McGraw-Hillrfr_id=info:sid/en.wikipedia.org:Systems_engineering" ^ Chestnut, Harold (1965). Systems Engineering Tools . Wiley. ISBN 0471154482 . ^ Oliver, David W.; Timothy P. Kelliher, James G. Keegan, Jr. (1997). Engineering Complex Systems with Models and Objects . McGraw-Hill. pp.85–94. ISBN 0070481881 . SPAN title="ctx_ver=Z39.88-2004rft_val_fmt=info:ofi/fmt:kev:mtx:bookrft.genre=bookrft.btitle=Engineering+Complex+Systems+with+Models+and+Objectsrft.aulast=Oliverrft.aufirst=David+W.rft.au=Oliver, David+W.rft.date=1997rft.pages=pp.wbr85–94rft.pub=McGraw-Hillrft.isbn=0070481881rfr_id=info:sid/en.wikipedia.org:Systems_engineering" ^ "The SE VEE" . SEOR, George Mason University . http://www.gmu.edu/departments/seor/insert/robot/robot2.html . Retrieved 2007-05-26 . ^ Ramo, Simon ; Robin K. St.Clair (1998) (PDF). The Systems Approach: Fresh Solutions to Complex Problems Through Combining Science and Practical Common Sense . Anaheim, CA: KNI, Inc. . http://www.incose.org/ProductsPubs/DOC/SystemsApproach.pdf . ^ "Systems Engineering Program at Cornell University" . Cornell University . http://systemseng.cornell.edu/people.html . Retrieved 2007-05-25 . ^ "ESD Faculty and Teaching Staff" . Engineering Systems Division, MIT . http://esd.mit.edu/people/faculty.html . Retrieved 2007-05-25 . ^ "Core Courses, Systems Analysis - Architecture, Behavior and Optimization" . Cornell University . http://systemseng.cornell.edu/CourseList.html . Retrieved 2007-05-25 . ^ a b Systems Engineering Fundamentals. Defense Acquisition University Press, 2001 ^ Rick Adcock. "Principles and Practices of Systems Engineering" (PDF). INCOSE, UK. Archived from the original on 15 June 2007 . http://web.archive.org/web/20070615160805/http://incose.org.uk/Downloads/AA01.1.4_Principles++practices+of+SE.pdf . Retrieved 2007-06-07 . ^ "Systems Engineering, Career Opportunities and Salary Information (1994)" . George Mason University . http://www.gmu.edu/departments/seor/insert/intro/introsal.html . Retrieved 2007-06-07 . ^ a b "Understanding the Value of Systems Engineering" (PDF) . http://www.incose.org/secoe/0103/ValueSE-INCOSE04.pdf . Retrieved 2007-06-07 . ^ "Surveying Systems Engineering Effectiveness" (PDF). Archived from the original on 15 June 2007 . http://web.archive.org/web/20070615160805/http://www.splc.net/programs/acquisition-support/presentations/surveying.pdf . Retrieved 2007-06-07 . ^ "Systems Engineering Cost Estimation by Consensus" . http://www.valerdi.com/cosysmo/rvalerdi.doc . Retrieved 2007-06-07 . ^ Andrew P. Sage, Stephen R. Olson (2001). "Modeling and Simulation in Systems Engineering" . Simulation (SAGE Publications) 76 (2): 90. doi : 10.1177/003754970107600207 . http://intl-sim.sagepub.com/cgi/content/abstract/76/2/90 . Retrieved 2007-06-02 . ^ E.C. Smith, Jr. (1962) (PDF). Simulation in systems engineering . IBM Research . http://www.research.ibm.com/journal/sj/011/ibmsj0101D.pdf . Retrieved 2007-06-02 . ^ "Didactic Recommendations for Education in Systems Engineering" (PDF) . http://www.gaudisite.nl/DidacticRecommendationsSESlides.pdf . Retrieved 2007-06-07 . ^ "Perspectives of Systems Engineering Accreditation" (PDF). INCOSE . Archived from the original on 15 June 2007 . http://web.archive.org/web/20070615160805/http://sistemas.unmsm.edu.pe/occa/material/INCOSE-ABET-SE-SF-21Mar06.pdf . Retrieved 2007-06-07 . ^ Steven Jenkins. "A Future for Systems Engineering Tools" (PDF). NASA. pp. 15 . http://www.marc.gatech.edu/events/pde2005/presentations/0.2-jenkins.pdf . Retrieved 2007-06-10 . ^ "Processes for Engineering a System", ANSI/EIA-632-1999, ANSI / EIA , 1999 ^ "Standard for Application and Management of the Systems Engineering Process -Description", IEEE Std 1220-1998, IEEE , 1998 ^ "Systems and software engineering - System life cycle processes", ISO/IEC 15288:2008, ISO/IEC , 2008 ^ "NASA Systems Engineering Handbook", Revision 1, NASA/SP-2007-6105, NASA , 2007 ^ "Systems Engineering Handbook", v3.1, INCOSE , 2007 ^ "A Consensus of the INCOSE Fellows", INCOSE , 2006 ^ a b c NASA (1995). "System Analysis and Modeling Issues". In: NASA Systems Engineering Handbook June 1995. p.85. ^ Long, Jim (2002) (PDF). Relationships between Common Graphical Representations in System Engineering . Vitech Corporation . http://www.vitechcorp.com/whitepapers/files/200701031634430.CommonGraphicalRepresentations_2002.pdf . ^ "OMG SysML Specification" (PDF). SysML Open Source Specification Project. pp. 23 . http://www.sysml.org/docs/specs/OMGSysML-FAS-06-05-04.pdf . Retrieved 2007-07-03 . ^ Hamilton, M. Hackler, W.R., “A Formal Universal Systems Semantics for SysML, 17th Annual International Symposium, INCOSE 2007, San Diego, CA, June 2007. ^ Hollnagel E. Woods D. D. (1983). Cognitive systems engineering: New wine in new bottles. International Journal of Man-Machine Studies, 18, 583-600. ^ Hollnagel, E. Woods, D. D. (2005) Joint cognitive systems: The foundations of cognitive systems engineering. Taylor Francis ^ Woods, D. D. Hollnagel, E. (2006). Joint cognitive systems: Patterns in cognitive systems engineering. Taylor Francis. ^ (see articles for discussion: and ) Further reading Harold Chestnut , Systems Engineering Methods . Wiley, 1967. Harry H. Goode , Robert E. 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. 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. Dale Shermon, Systems Cost Engineering , Gower publishing , 2009 External links IMG title="Systemswbrengineering" height=40 alt="" src="http://upload.wikimedia.org/wikipedia/commons/thumb/4/4a/Commons-logo.svg/30px-Commons-logo.svg.png" width=30 real_src="http://upload.wikimedia.org/wikipedia/commons/thumb/4/4a/Commons-logo.svg/30px-Commons-logo.svg.png" Wikimedia Commons has media related to: Systems engineering INCOSE homepage. Systems Engineering Fundamentals. Defense Acquisition University Press, 2001 Shishko, Robert et al. NASA Systems Engineering Handbook. NASA Center for AeroSpace Information, 2005. Systems Engineering Handbook NASA/SP-2007-6105 Rev1, December 2007. Derek Hitchins, World Class Systems Engineering , 1997. Parallel product alternatives and verification validation activities . Model Based System Engineering - an introduction Systems engineering Fields Aerospace engineering · Biological systems engineering · Configuration management · Earth systems engineering and management · Enterprise systems engineering · Performance engineering · Reliability engineering · Safety engineering Processes Requirements analysis · Functional specification · System integration · Verification and validation · Design review Concepts Business process · System · Systems engineering process · System lifecycle · Systems Development Life Cycle (SDLC) Languages Systems Modeling Language · IDEF Tools Decision making · Functional modelling · Optimization · Planning · Reliable analysis · Statistical analysis · Systems analysis · System dynamics · Systems modeling · V-Model · Work breakdown structure People Wernher von Braun · Harold Chestnut · Arthur David Hall III · Derek Hitchins · Robert E. Machol · Simon Ramo · Joseph Francis Shea · John N. Warfield Related fields Control engineering · Computer engineering · Industrial engineering · Operations research · Project management · Quality management · Software engineering Software engineering Fields Requirements analysis • Systems analysis • Software design • Computer programming • Formal methods • Software testing • Software deployment • Software maintenance Concepts Data modeling • Enterprise architecture • Functional specification • Modeling language • Programming paradigm • Software • Software architecture • Software development methodology • Software development process • Software quality • Software quality assurance • Software archaeology • Structured analysis Orientations Agile • Aspect-oriented • Object orientation • Ontology • Service orientation • SDLC Models Development models Agile • Iterative model • RUP • Scrum • Spiral model • Waterfall model • XP • V-Model • Incremental model • Prototype model Other models Automotive SPICE • CMMI • Data model • Function model • Information model • Metamodeling • Object model • Systems model • View model Modeling languages IDEF • UML Software engineers Kent Beck • Grady Booch • Fred Brooks • Barry Boehm • Ward Cunningham • Ole-Johan Dahl • Tom DeMarco • Martin Fowler • C. A. R. Hoare • Watts Humphrey • Michael A. Jackson • Ivar Jacobson • Craig Larman • James Martin • Bertrand Meyer • David Parnas • Winston W. Royce • Colette Rolland • James Rumbaugh • Niklaus Wirth • Edward Yourdon • Victor Basili Related fields Computer science • Computer engineering • Enterprise engineering • History • Management • Project management • Quality management • Software ergonomics • Systems engineering Systems and systems science Systems categories Systems theory · Systems science · Systems scientists ( Conceptual · Physical · Social ) Systems Biological · Complex · Complex adaptive · Conceptual · Database management · Dynamical · Economical · Ecosystem · Formal · Global Positioning System · Human anatomy · Information systems · Legal systems of the world · Systems of measurement · Metric system · Multi-agent system · Nervous system · Nonlinearity · Operating system · Physical system · Political system · Sensory system · Social structure · Solar System · Systems art Theoretical fields Chaos theory · Complex systems · Control theory · Cybernetics · Living systems · Sociotechnical systems theory · Systems biology · System dynamics · Systems ecology · Systems engineering · Systems neuroscience · Systems psychology · Systems science · Systems theory Systems scientists Russell L. Ackoff · William Ross Ashby · Béla H. Bánáthy · Gregory Bateson · Richard E. Bellman · Stafford Beer · Ludwig von Bertalanffy · Murray Bowen · Kenneth E. Boulding · C. West Churchman · George Dantzig · Heinz von Foerster · Jay Wright Forrester · George Klir · Edward Lorenz · Niklas Luhmann · Humberto Maturana · Margaret Mead · Donella Meadows · Mihajlo D. Mesarovic · James Grier Miller · Howard T. Odum · Talcott Parsons · Ilya Prigogine · Anatol Rapoport · Claude Shannon · Francisco Varela · Kevin Warwick · Norbert Wiener · Anthony Wilden · Charles A S Hall Technology (outline) Applied science Archaeology · Artificial intelligence · Ceramic · Computing · Cryogenics · Electronics · Energy · Energy storage · Engineering geology · Engineering physics · Environmental engineering science · Environmental technology · Fisheries science · Hydraulics · Management · Materials science · Microtechnology · Nanotechnology · Nuclear technology · Particle physics · Technician · Technologist · Zoography Information Graphics · Information and communication technologies · Information technology · Music technology · Speech recognition · Systematics · Visual technology Industry Building officials · Business informatics · Construction · Financial · Fishing · Industrial technology · Machinery · Manufacturing · Mining · Textile Military Ammunition · Army engineering maintenance · Bombs · Military communications · Military engineering · Military technology Domestic Domestic appliances · Domestic technology · Educational technology · Food technology Engineering Aerospace · Agricultural · Architectural · Audio · Biochemical · Biological · Broadcast · Chemical · Civil · Computer · Construction · Control · Electrical · Electronic · Enterprise · Entertainment · Environmental · Food · Genetic · Industrial · Mechanical · Mechatronics · Metallurgy · Mining · Network · Nuclear · Offshore · Ontology · Optical · Petroleum · Protein · Radio Frequency · Software · Structural · Systems · Telecommunications Health / safety Bioinformatics · Biomechatronics · Biomedical · Biotechnology · Cheminformatics · Fire protection · Healthcare science · Medical technology · Nutrition · Pharmacology · Safety · Sanitary · Tissue Transport Aerospace · Aerospace engineering · Automotive · Motor vehicles · Naval architecture · Space technology · Traffic · Transport 本文引自: http://en.wikipedia.org/wiki/Systems_ engineering
2010.5.10 Apptis 公司提出 iTracker 产品,声称是项目集与软件发展的新阶段。 PRWEB 报道 Apptis, 公司作为美国国防和民间机构提供基础 IT 与通信服务的公司,宣布 Apptis iTracker 发布 , iTracker 产品是基于 web ,数据库驱动的产品系列,是集成项目集管理与软件开发工具,使用 Apptis Insight 提供的项目方法学思路, Insight 是继承了 Software Engineering Institute's (SEI) 的成熟度模型 Capability Maturity Model Integrated (CMMI) ,项目管理学会 Project Management Institute's (PMI) 的项目管理知识体系 Project Management Body of Knowledge (PMBOK). 与结合联邦政府资深专家最新创新技术发展,例如云计算 . Apptis 已经为联邦机构 federal agencies 提供超过 20 年的关键 IT 与通信解决方案,公司的核心竞争力: Software System Engineering, Enterprise Management, Network Engineering, Information Assurance, and Program Management. Apptis 提供风险识别与反应、获得最大敏捷性和柔性、准时满足项目集里程碑、节约成本、提供透明的评估体系的创新解决方案。使用工业主导的标准, PMP, CMM/CMMI, ITIL, and ISO 9001:2000 和 工具 ,例如 Primavera and Microsoft Project. 在 telecommunications transitions, program funding (OMB-300), return-on-investment evaluations, and performance-based contracting 有新的体验,结合政府机构专家的几种思路: 1.Supporting telecom contract transitions for agencies with as many as 1,700 sites and 70,000 employees nationwide. 2.Leading the Federal Emergency Management Agency's Disaster Assistance Improvement Program eGov initiative to develop information technology solutions to serve up to 750,000 concurrent disaster victims. 3.Worldwide customer support of TRICARE Management Activity to manage complex healthcare solutions across multiple geographic locations. iTracker 已经有十年左右历程和软件开发努力, Apptis 认识到项目周期中,多种项目并存于不同的项目阶段的任务、风险和个人资源的管理的复杂性,使用 iTracter 能使得客户透明可视化所有项目的执行与控制、跟踪风险与消除风险,并提供标准的报告,如此产品, Apptis 相信客户能满足于他们准时化 (on-time) 软件开发需求,且在预算范围。 Phil Horvitz, Apptis CTO 称: iTracker 提供快速有效共同项目环境下团队获得可重复、高质量可衡量的结果。它能消除目前在管理大型分布式多专业领域的项目团队在沟通、应用统一项目标准与进度标准最富有挑战性的一方面问题。 PROGRAM MANAGEMENT CAPABILITIES // 项目集管理方面 Acquisition Support Business Operations // 业务运作 Financial Management // 资金管理 IVV // 交互式视频 Quality Assurance // 质量控制 Requirements Development // 需求管理 Risk Management // 风险管理 Schedule Management // 进度管理 Scope Management // 范围管理 Strategic Planning // 战略规划 CUSTOMERS Coast Guard // 国家海岸巡逻队 Customs and Border Protection // 海关边防部队 Defense Information Systems Agency // 国防资讯系统局 Federal Aviation Administration // 联邦航空管理局 Federal Emergency Management Agency // 联邦紧急情况管理署 General Services Administration // 综合服务管理局 Military Health Systems // 军队医疗系统 Transportation Security Administration // 交通运输安全管理 CERTIFICATIONS Appraised at CMMI Maturity Level 2 //2 级成熟 certification Accreditation Professional (CAP) Certified Business Continuity Professional (CBCP) Information Technology Infrastructure Library (ITIL) ISO 9001:2000 Certified in Chantilly, VA and San Antonio, TX Program Management Professional (PMP) Apptis iTracker - the Next Generation Toolset for Program Management and Software Development. http://www.prweb.com/releases/2010/05/prweb3973424.htm 2010-5-10 www.apptis.com 美国陆军授予 Apptis 公司价值 1.329 亿美元的 C4I 系统合同, 2009 http://www.cetin.net.cn/cetin2/servlet/cetin/action/HtmlDocumentAction?baseid=1docno=389506