V-Models for Interdisciplinary Systems Engineering
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Best Practices for Systems Integration
Best Practices for Systems Integration November 2011 Presented by Pete Houser Manager for Engineering & Product Excellence Northrop Grumman Corporation Copyright © 2011 Northrop Grumman Systems Corporation. All rights reserved. Log #DSD-11-78 Systems Integration Definition • Systems Integration (SI) is one aspect of the Systems Engineering, Integration, and Test (SEIT) process. SI must be integrated within the overall SEIT structure. • Systems Integration is the process of: – Assembling the constituent parts of a system in a logical, cost-effective way, comprehensively checking system execution (all nominal & exceptional paths), and including a full functional check-out. • Systems Test is the process of: – Verifying that the system meets its requirements, and – Validating that the system performs in accordance with the customer/user expectations • Across Dod Programs, systems integration experiences have been erratic (at best). In many cases: – Programs do not define dedicated Integration Engineers. – Immature system is passed to the Test organization for concurrent Integration and Test. – Program budget is exceeded because Integration was not separately estimated. Copyright © 2011 Northrop Grumman Systems Corporation. All rights reserved. Log #DSD-11-78 Systems Integration Issues • When executed as a distinct process, Systems Integration has historically followed the “big bang” model shown below. – All of the components arrive more-or-less simultaneously (usually late) in the Integration Lab. – The Integration engineers arrive more-or-less -
Project Management © Adrienne Watt
Project Management © Adrienne Watt This work is licensed under a Creative Commons-ShareAlike 4.0 International License Original source: The Saylor Foundation http://open.bccampus.ca/find-open-textbooks/?uuid=8678fbae-6724-454c-a796-3c666 7d826be&contributor=&keyword=&subject= Contents Introduction ...................................................................................................................1 Preface ............................................................................................................................2 About the Book ..............................................................................................................3 Chapter 1 Project Management: Past and Present ....................................................5 1.1 Careers Using Project Management Skills ......................................................................5 1.2 Business Owners ...............................................................................................................5 Example: Restaurant Owner/Manager ..........................................................................6 1.2.1 Outsourcing Services ..............................................................................................7 Example: Construction Managers ..........................................................................8 1.3 Creative Services ................................................................................................................9 Example: Graphic Artists ...............................................................................................10 -
Model and Tool Integration in High Level Design of Embedded Systems
Model and Tool Integration in High Level Design of Embedded Systems JIANLIN SHI Licentiate thesis TRITA – MMK 2007:10 Department of Machine Design ISSN 1400-1179 Royal Institute of Technology ISRN/KTH/MMK/R-07/10-SE SE-100 44 Stockholm TRITA – MMK 2007:10 ISSN 1400-1179 ISRN/KTH/MMK/R-07/10-SE Model and Tool Integration in High Level Design of Embedded Systems Jianlin Shi Licentiate thesis Academic thesis, which with the approval of Kungliga Tekniska Högskolan, will be presented for public review in fulfilment of the requirements for a Licentiate of Engineering in Machine Design. The public review is held at Kungliga Tekniska Högskolan, Brinellvägen 83, A425 at 2007-12-20. Mechatronics Lab TRITA - MMK 2007:10 Department of Machine Design ISSN 1400 -1179 Royal Institute of Technology ISRN/KTH/MMK/R-07/10-SE S-100 44 Stockholm Document type Date SWEDEN Licentiate Thesis 2007-12-20 Author(s) Supervisor(s) Jianlin Shi Martin Törngren, Dejiu Chen ([email protected]) Sponsor(s) Title SSF (through the SAVE and SAVE++ projects), VINNOVA (through the Model and Tool Integration in High Level Design of Modcomp project), and the European Embedded Systems Commission (through the ATESST project) Abstract The development of advanced embedded systems requires a systematic approach as well as advanced tool support in dealing with their increasing complexity. This complexity is due to the increasing functionality that is implemented in embedded systems and stringent (and conflicting) requirements placed upon such systems from various stakeholders. The corresponding system development involves several specialists employing different modeling languages and tools. -
Identifying and Defining Relationships: Techniques for Improving Student Systemic Thinking
AC 2011-897: IDENTIFYING AND DEFINING RELATIONSHIPS: TECH- NIQUES FOR IMPROVING STUDENT SYSTEMIC THINKING Cecelia M. Wigal, University of Tennessee, Chattanooga Cecelia M. Wigal received her Ph.D. in 1998 from Northwestern University and is presently a Professor of Engineering and Assistant Dean of the College of Engineering and Computer Science at the University of Tennessee at Chattanooga (UTC). Her primary areas of interest and expertise include complex process and system analysis, process improvement analysis, and information system analysis with respect to usability and effectiveness. Dr. Wigal is also interested in engineering education reform to address present and future student and national and international needs. c American Society for Engineering Education, 2011 Identifying and Defining Relationships: Techniques for Improving Student Systemic Thinking Abstract ABET, Inc. is looking for graduating undergraduate engineering students who are systems thinkers. However, genuine systems thinking is contrary to the traditional practice of using linear thinking to help solve design problems often used by students and many practitioners. Linear thinking has a tendency to compartmentalize solution options and minimize recognition of relationships between solutions and their elements. Systems thinking, however, has the ability to define the whole system, including its environment, objectives, and parts (subsystems), both static and dynamic, by their relationships. The work discussed here describes two means of introducing freshman engineering students to thinking systemically or holistically when understanding and defining problems. Specifically, the modeling techniques of Rich Pictures and an instructor generated modified IDEF0 model are discussed. These techniques have roles in many applications. In this case they are discussed in regards to their application to the design process. -
Pm4dev, 2016 –Management for Development Series ©
pm4dev, 2016 –management for development series © Project Quality Management PROJECT MANAGEMENT FOR DEVELOPMENT ORGANIZATIONS Project Quality Management PROJECT MANAGEMENT FOR DEVELOPMENT ORGANIZATIONS A methodology to manage development projects for international humanitarian assistance and relief organizations © PM4DEV 2016 Our eBook is provided free of charge on the condition that it is not copied, modified, published, sold, re-branded, hired out or otherwise distributed for commercial purposes. Please give appropriate citation credit to the authors and to PM4DEV. Feel free to distribute this eBook to any one you like, including peers, managers and organizations to assist in their project management activities. www.pm4dev.com Project Quality Management PROJECT QUALITY MANAGEMENT Quality management is the process for ensuring that all project activities necessary to design, plan and implement a project are effective and efficient with respect to the purpose of the objective and its performance. Project quality management (QM) is not a separate, independent process that occurs at the end of an activity to measure the level of quality of the output. It is not purchasing the most expensive material or services available on the market. Quality and grade are not the same, grade are characteristics of a material or service such as additional features. A product may be of good quality (no defects) and be of low grade (few or no extra features). Quality management is a continuous process that starts and ends with the project. It is more about preventing and avoiding than measuring and fixing poor quality outputs. It is part of every project management processes from the moment the project initiates to the final steps in the project closure phase. -
Project System (PS) ESPS D N.I
Project System (PS) ESPS D N.I ADDO Release 4.6C Project System (PS) SAP AG Copyright © Copyright 2001 SAP AG. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. Microsoft®, WINDOWS®, NT®, EXCEL®, Word®, PowerPoint® and SQL Server® are registered trademarks of Microsoft Corporation. IBM®, DB2®, OS/2®, DB2/6000®, Parallel Sysplex®, MVS/ESA®, RS/6000®, AIX®, S/390®, AS/400®, OS/390®, and OS/400® are registered trademarks of IBM Corporation. ORACLE® is a registered trademark of ORACLE Corporation. TM INFORMIX®-OnLine for SAP and Informix® Dynamic Server are registered trademarks of Informix Software Incorporated. UNIX®, X/Open®, OSF/1®, and Motif® are registered trademarks of the Open Group. HTML, DHTML, XML, XHTML are trademarks or registered trademarks of W3C®, World Wide Web Consortium, Massachusetts Institute of Technology. JAVA® is a registered trademark of Sun Microsystems, Inc. JAVASCRIPT® is a registered trademark of Sun Microsystems, Inc., used under license for technology invented and implemented by Netscape. SAP, SAP Logo, R/2, RIVA, R/3, ABAP, SAP ArchiveLink, SAP Business Workflow, WebFlow, SAP EarlyWatch, BAPI, SAPPHIRE, Management Cockpit, mySAP.com Logo and mySAP.com are trademarks or registered trademarks of SAP AG in Germany and in several other countries all over the world. All other products mentioned are trademarks or registered trademarks of their respective companies. -
Integration of Model-Based Systems Engineering and Virtual Engineering Tools for Detailed Design
Scholars' Mine Masters Theses Student Theses and Dissertations Spring 2011 Integration of model-based systems engineering and virtual engineering tools for detailed design Akshay Kande Follow this and additional works at: https://scholarsmine.mst.edu/masters_theses Part of the Systems Engineering Commons Department: Recommended Citation Kande, Akshay, "Integration of model-based systems engineering and virtual engineering tools for detailed design" (2011). Masters Theses. 5155. https://scholarsmine.mst.edu/masters_theses/5155 This thesis is brought to you by Scholars' Mine, a service of the Missouri S&T Library and Learning Resources. This work is protected by U. S. Copyright Law. Unauthorized use including reproduction for redistribution requires the permission of the copyright holder. For more information, please contact [email protected]. INTEGRATION OF MODEL-BASED SYSTEMS ENGINEERING AND VIRTUAL ENGINEERING TOOLS FOR DETAILED DESIGN by AKSHA Y KANDE A THESIS Presented to the Faculty of the Graduate School of the MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY In Partial Fulfillment of the Requirements for the Degree MASTER OF SCIENCE IN SYSTEMS ENGINEERING 2011 Approved by Steve Corns, Advisor Cihan Dagli Scott Grasman © 2011 Akshay Kande All Rights Reserved 111 ABSTRACT Design and development of a system can be viewed as a process of transferring and transforming data using a set of tools that form the system's development environment. Conversion of the systems engineering data into useful information is one of the prime objectives of the tools used in the process. With complex systems, the objective is further augmented with a need to represent the information in an accessible and comprehensible manner. -
Using IDEF and QFD to Develop an Organizational Decision Support Methodology for the Strategic Justification of Computer-Integrated Technologies
UTTERWORTH lnternational JournalofProjectManagement Vol. 13, No. 3, pp. 177-185, 1995 E I N E M A N N Elsevier Science Ltd S Printed in Great Britain 0263-7863/95 210.00+ 0.00 0263-7863 (94) 00008-5 Using IDEF and QFD to develop an organizational decision support methodology for the strategic justification of computer-integrated technologies Joseph Sarkis Department of Information Systems and Management Sciences, Box 19437, University of Texas at Arlington, Arlington, TX 76019, USA Donald H Liles Automation and Robotics Research Institute, 7300 Jack Newell Boulevard, Fort Worth, TX 76118, USA The paper presents some issues relevant to the strategic justification of computer-integrated enterprise technologies for small and medium-sized manufacturing enterprises. To address the issue of making a strategic justification or 'business case' for these technologies, an organizational decision-making methodology that incorporates the strategies of the firm is needed, among other requirements. A research and development approach that integrates Quality Function Deployment and IDEF0 functional modeling to determine the requirements and processes for the justification methodology is presented. This approach has implications for future research and development for similar organizational decision-support processes and business-process reengineering. Keywords: quality-function deployment, IDEFO, strategic justification Current and future directions in the US domestic industrial CIE technologies are necessary to help enterprises become economy point to further global competitive pressures on agile enough to form interorganizational ad hoc partner- manufacturing enterprises of all sizes. For organizations to ships that emphasize each enterprise's core competencies ~. be able to compete on this global level, there need to be Examples of some of these technologies are computer- national and industrial visions, as well as enterprise-level integrated manufacturing systems, flexible manufacturing visions. -
Comparative Analysis of Software Development Methods Between Parallel, V-Shaped and Iterative
International Journal of Computer Applications (0975 – 8887) Volume 169 – No.11, July 2017 Comparative Analysis of Software Development Methods between Parallel, V-Shaped and Iterative Suryanto Nugroho Sigit Hadi Waluyo Luqman Hakim Department of Information System Department of Information Department of Informatics STMIK Duta Bangsa Management Muhammadiyah University of Surakarta, Indonesia AMIK Taruna Probolinggo Malang Probolinggo, Indonesia Malang, Indonesia ABSTRACT determines a software that is produced according to a set time Any organization that will develop software is faced with a and has a good quality. difficult choice of choosing the right software development System Development Life Cycle or SDLC is a methodology method. Whereas the software development methods used, used to perform software development. The concept of the play a significant role in the overall software development SDLC is composed of several stages starting from the process. Software development methods are needed so that planning stage, the analysis phase, the design stage, the the software development process can be systematic so that it implementation stage and up to the system maintenance is not only completed within the right time frame but also period. Different forms of software development models that must have good quality. There are various methods of currently exist in building a framework or framework are software development in System Development Lyfe Cycle based on the concept of SDLC. According to Rainer, Turban, (SDLC). Each SDLC method provides a general guiding line and Potter [9], SDLC is a structured framework that contains about different software development and has different following processes in which the system is developed. -
System Integration Issues Surrounding Integration of County-Level Justice Information Systems U.S
U.S. Department of Justice Office of Justice Programs Bureau of Justice Assistance Bureau of Justice Assistance System Integration Issues Surrounding Integration of County-level Justice Information Systems U.S. Department of Justice Office of Justice Programs Bureau of Justice Assistance U.S. Department of Justice Janet Reno............................................... Attorney General Office of Justice Programs Laurie O. Robinson................................. Assistant Attorney General Bureau of Justice Assistance Nancy E. Gist.......................................... Director Prepared under Cooperative Agreement No. 92-DD-CX-0005 by SEARCH, The National Consortium for Justice Information and Statistics, 7311 Greenhaven Drive, Suite 145, Sacramento, California 95831. The points of view stated in this document are those of the authors and do not necessarily represent the official position or policies of the U.S. Department of Justice. Bureau of Justice Assistance 633 Indiana Avenue, N.W., Washington, D.C. 20531 (202) 307-5974 The Assistant Attorney General is responsible for matters of administration and management with respect to the OJP agencies: the Bureau of Justice Assistance, Bureau of Justice Statistics, National Institute of Justice, Office of Juvenile Justice and Delinquency Prevention and the Office for Victims of Crime. The Assistant Attorney General further establishes policies and priorities consistent with the statutory purposes of the OJP agencies and the priorities of the Department of Justice. ii Acknowledgments The System Integration: Issues Surrounding Integration of County-level Justice Information Systems report was produced by SEARCH, The National Consortium for Justice Information and Statistics. Dr. Francis J. Carney Jr. is the Chair and Gary R. Cooper is the Executive Director of this private, nonprofit consortium of the states. -
Quality Management Process © for [Project Name]
Project Quality Management Process © For [Project Name] Project Quality Management Process 1 Introduction The Project Quality Management Process is followed during the Execution phase of the Project Management Life Cycle as each deliverable is completed, prior to customer sign-off. What is a Quality Management Process? A Quality Management Process is a method by which the quality of deliverables and processes is assured and controlled during the project. This process entails completing a variety of review techniques and implementing a set of corrective actions to address any deficiencies and raise the quality levels within the project. The Quality Management Process involves: Listing the quality targets to achieve (from the Quality Review Form) Identifying the types of quality measurement techniques to be undertaken Measuring deliverable and process quality (via Quality Assurance and Quality Control) Taking action to enhance the level of deliverable and process quality Reporting the level of quality attained to project management When to use a Quality Management Process Although Quality Assurance methods may be initiated prior to the Execution phase, Quality Control techniques are implemented during the actual construction of each physical deliverable. Without a formal Quality Management Process in place, the basic premise of delivering the project to meet „time, cost and quality‟ targets may be compromised. © The Quality Management Process is terminated only when all of the deliverables and management processes have been completed and approved prior to project closure. 1.1 Instructions Not all sections in this document will apply due to the uniqueness of each project.If a particular section is not applicable; enter NA (Not Applicable) to indicate that you have at least considered this section. -
The Systems Integration Architecture: an Agile Information Infrastructure
3 The Systems Integration Architecture: an Agile Information Infrastructure by John J Mills, Ramez Elmasri, Kashif Khan, Srinivas Miriyala, and Kalpana Subramanian The Agile Aerospace Manufacturing Research Center, The Automation & Robotics Research Institute, The University of Texas at Arlington, 7300 Jack Newell Blvd. S, Fort Worth TX 76118, USA. Principle Contact: Dr. John J Mills, 01 0-817-794-5903; 010-817- 794-5 9 52 [fax]; e-mail: jmills@arri. uta. edu Abstract The Systems Integration Architecture project is taking a fresh approach to integration with special emphasis on supporting Agile, Virtual enterprises and their unique need for reconfigurable, de-centralized information systems. SIA is based on a different conceptual model of integration - called the TAR model - one which allows higher level integration than the traditional common, neutral format, shared database. The basic concept is that all information processing consists of a series of transformations of data sets called "Aspects" into other "Aspects". The transformations are effected by what are called Functional Transformation Agents which provide a single function and have a well defined interface structure which allows them to be integrated in a variety of ways. The Systems Integration Architecture provides three high level services which allow FTA's to be defined, combined into diverse networks which provide transformations of aspects in a manner transparent to the user and executed under a variety of control algorithms in a heterogeneous, de-centralized environment. These are: an Executive--to provide business control services; a Librarian--to act as somewhat of a meta data dictionary, keeping track ofFTA's and their input and output Aspects; and a Network--which is based on the Common Object Request Broker Architecture to facilitate communication between objects on a heterogeneous network.