IDEF1 Information Modeling

Total Page:16

File Type:pdf, Size:1020Kb

IDEF1 Information Modeling IDEF1 Information Modeling A Reconstruction of the Original Air Force Wright Aeronautical Laboratory Technical Report AFWAL-TR-81-4023 Dr. Richard J. Mayer, Editor Knowledge Based Systems, Inc. IDEF1 Information Modeling A Reconstruction of the Original Air Force Wright Aeronautical Laboratory Technical Report AFWAL-TR-81-4023 Dr. Richard J. Mayer, Editor Knowledge Based Systems, Inc. Knowledge Based Systems, Inc. One KBSI Place 1408 University Drive East College Station, Texas 77840-2335 (409) 260-5274 This manual is copyrighted, with all rights reserved. Under the copyright laws, the manual may not be reproduced in any form or by any means, in whole or in part, without written consent of Knowledge Based Systems, Inc. (KBSI). Under the law, reproducing includes translating into another language or format. © 1990, 1992 by Knowledge Based Systems, Inc. One KBSI Place 1408 University Drive East College Station, Texas 77840-2335 (409) 696-7979 Table of Contents List of Figures .......................................................................................................................... v Foreword.................................................................................................................................. ix 1.0 Introduction.................................................................................................................... 3 2.0 IDEF1 Concepts ............................................................................................................. 7 2.1 Introduction......................................................................................................... 7 2.2 Roles..................................................................................................................... 9 2.3 Multi-Phase Development ................................................................................ 10 2.4 Cyclical Activities.............................................................................................. 12 3.0 Understanding IDEF1 Diagrams................................................................................ 17 3.1 Phase Zero ......................................................................................................... 17 3.2 Phase One.......................................................................................................... 18 3.3 Phase Two.......................................................................................................... 22 3.4 Phase Three....................................................................................................... 27 3.5 Phase Four......................................................................................................... 33 3.6 Conclusions........................................................................................................ 34 4.0 Reading IDEF1 Diagrams ........................................................................................... 37 4.1 Introduction....................................................................................................... 37 4.2 Diagram Reading Steps.................................................................................... 38 4.3 Semantics of IDEF1 .......................................................................................... 45 5.0 IDEF Forms and Procesures ....................................................................................... 47 5.1 IDEF Teamwork Discipline.............................................................................. 49 5.2 The IDEF Kit Cycle........................................................................................... 50 5.2.1 Personnel Roles................................................................................. 51 5.2.2 Guidelines for Authors and Commentors........................................ 53 i 5.3 IDEF Kits .......................................................................................................... 55 5.3.1 Completing ........................................................................................ 55 5.3.2 How to Prepare ................................................................................. 57 5.4 Standard Diagram Form .................................................................................. 57 5.4.1 Working Information........................................................................ 58 5.4.2 The Message Field ............................................................................ 62 5.4.3 The Title Field................................................................................... 62 5.4.4 The Number Field............................................................................. 63 5.5 Keeping Files..................................................................................................... 63 5.5.1 Standard Kit File.............................................................................. 64 5.5.2 Summary Kit File ............................................................................. 64 5.5.3 Working File...................................................................................... 64 5.6 The IDEF Model Walk-Through Procedure .................................................... 64 6.0 Author’s Guide To Creating IDEF1 Diagrams........................................................... 47 6.1 Phase Zero - Context Definition....................................................................... 71 6.2 Project Definition .............................................................................................. 71 6.2.1 The Strategic Objective.......................................................................... 71 6.2.2 Strategic Plan.................................................................................... 75 6.2.3 Functional Organization .................................................................. 76 6.2.4 Resource Allocation .......................................................................... 85 6.2.5 Source Material – Data Collection Plan.......................................... 86 6.2.6 Author Conventions.......................................................................... 92 6.2.7 Phase Zero Kits................................................................................. 93 6.3 Phase One - Entity Class Definition................................................................ 94 6.3.1 Entity Class Definition..................................................................... 94 6.3.2 Phase One Kits ............................................................................... 100 6.4 Phase Two – Relation Class Definition.......................................................... 106 6.4.1 Basic Process ........................................................................................ 112 6.4.2 Phase Two Kits ............................................................................... 120 6.5 Phase Three – Key Class Definitions............................................................. 125 6.5.1 Phase Three Process....................................................................... 133 6.5.2 Function View ................................................................................. 137 6.5.3 Attribute Class Pool........................................................................ 143 ii 6.5.4 Identifying Key Classes.................................................................. 146 6.5.5 Entity Class/Attribute Class Matrix.............................................. 150 6.5.6 Key Attribute Class Definition ...................................................... 152 6.5.7 Phase Three Formalization............................................................ 156 6.5.8 Phase Three Kits ............................................................................ 162 6.6 Phase Four – Attribute Class Population...................................................... 167 6.6.1 Phase Four Process......................................................................... 169 6.6.2 Phase Four Kits .............................................................................. 175 6.6.3 Conclusion ....................................................................................... 178 7.0 Data Collection For IDEF Modeling ......................................................................... 179 7.1 Introduction.......................................................................................................... 181 7.2 The Interview Process .................................................................................... 181 7.3 The Interview Kit............................................................................................ 182 7.4 Interview Guidelines ...................................................................................... 183 7.4.1 Interview Preparation .................................................................... 184 7.4.2 Interview Initialization .................................................................. 185 7.4.3 Conducting the Interview .............................................................. 186 7.4.4 Termination .................................................................................... 188 7.4.5 Finalization ..................................................................................... 189 8.0 IDEF1 Glossary .......................................................................................................... 190 9.0 IDEF1 Index of Terms ..............................................................................................
Recommended publications
  • Data-Driven Grasp Synthesis - a Survey Jeannette Bohg, Member, IEEE, Antonio Morales, Member, IEEE, Tamim Asfour, Member, IEEE, Danica Kragic Member, IEEE
    TRANSACTIONS ON ROBOTICS 1 Data-Driven Grasp Synthesis - A Survey Jeannette Bohg, Member, IEEE, Antonio Morales, Member, IEEE, Tamim Asfour, Member, IEEE, Danica Kragic Member, IEEE specific metric. This process is usually based on some existing Abstract—We review the work on data-driven grasp synthesis grasp experience that can be a heuristic or is generated in and the methodologies for sampling and ranking candidate simulation or on a real robot. Kamon et al. [5] refer to this grasps. We divide the approaches into three groups based on whether they synthesize grasps for known, familiar or unknown as the comparative and Shimoga [2] as the knowledge-based objects. This structure allows us to identify common object rep- approach. Here, a grasp is commonly parameterized by [6, 7]: resentations and perceptual processes that facilitate the employed • the grasping point on the object with which the tool center data-driven grasp synthesis technique. In the case of known point (TCP) should be aligned, objects, we concentrate on the approaches that are based on • the approach vector which describes the 3D angle that object recognition and pose estimation. In the case of familiar objects, the techniques use some form of a similarity matching the robot hand approaches the grasping point with, to a set of previously encountered objects. Finally, for the • the wrist orientation of the robotic hand and approaches dealing with unknown objects, the core part is the • an initial finger configuration extraction of specific features that are indicative of good grasps. Data-driven approaches differ in how the set of grasp candi- Our survey provides an overview of the different methodologies dates is sampled, how the grasp quality is estimated and how and discusses open problems in the area of robot grasping.
    [Show full text]
  • Infrastructure) IMS > J
    NE DO-IT-O 0 16 <i#^^0%'IW#^#^#(Hyper-Intellectual-IT Infrastructure) IMS > J TO 1 3 ¥ 3 M NEDD H»* r— • ^ ’V^^ m) 010018981-0 (Hyper-Intellectual-IT fr9, (Hyper IT) i-6Z 6 & g 1% ^ L/bo i2 NEDO-IT-0016 < (Hyper-Intel lectual-IT Infrastructure) 9H3E>J 1 3 # 3 ^ lT5fe (%) B^f-r^'a'W^ZPJf (Summary) -f — t 7-j'<7)7*0- K/O- % -y f-7-? ±K*EL/--:#<<7)->5a.v-j'^T*-j'^-7OTSmiLr1 Eft • Skit • tWs§ (Otis ti® o T S T V' £ „ Ltf' U - 7- L*{Hffi,»ftffiIBIS<7)'> 5 a. V- -> 3 >^x- ? ^-Xfijfflic-7V>TI±#<<7)*®»:C0E@»S»6L, -en<b»sili*5tL^itn(i\ *7h Ty — t’ 4-^hLfcE&tt>fc1SSSeF% • Eft • KS& k" f> $ $ & b ttv>, (1) 3>ti- (2) f -^ (3) $-y t-7-7 (4) ->i ( 5 ) 7 7 t 73H7ft#-9— fxwilttas Sti:, ±EP$t t k ic, KSUWSSiaBF^ ■ Elt ■ # ## k T-<7)FB1«6 4-$v>tti u iirn *iiM LrtlSS-S k a6* 0 (1) Hyper-IT 4 7 —-y OEE$l&teH k $l!$ (2 ) Hyper-IT -f7-y*k##<7)tbK (3) KS<7)i5tv^k (4) #@<7)SEE • IISE<7)#S (5) Hwif^silftftkn-KvyT ’tt Summary In recently years, we have broad band network and The Internet environment , using these infrastructure, we will develop knowledge co-operate manufacturing support system, which can be use various kinds of simulators and databases. But knowledge co-operate manufacturing support system has a lot of problems, such as data format, legal problems, software support system and so no.
    [Show full text]
  • Modelling and Control Methods with Applications to Mechanical Waves
    Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1174 Modelling and Control Methods with Applications to Mechanical Waves HANS NORLANDER ACTA UNIVERSITATIS UPSALIENSIS ISSN 1651-6214 ISBN 978-91-554-9023-2 UPPSALA urn:nbn:se:uu:diva-229793 2014 Dissertation presented at Uppsala University to be publicly examined in room 2446, ITC, Lägerhyddsvägen 2, Uppsala, Friday, 17 October 2014 at 10:15 for the degree of Doctor of Philosophy. The examination will be conducted in English. Faculty examiner: Prof. Jonas Sjöberg (Chalmers). Abstract Norlander, H. 2014. Modelling and Control Methods with Applications to Mechanical Waves. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1174. 72 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9023-2. Models, modelling and control design play important parts in automatic control. The contributions in this thesis concern topics in all three of these concepts. The poles are of fundamental importance when analyzing the behaviour of a system, and pole placement is an intuitive and natural approach for control design. A novel parameterization for state feedback gains for pole placement in the linear multiple input case is presented and analyzed. It is shown that when the open and closed loop poles are disjunct, every state feedback gain can be parameterized. Other properties are also investigated. Hammerstein models have a static non-linearity on the input. A method for exact compensation of such non-linearities, combined with introduction of integral action, is presented. Instead of inversion of the non-linearity the method utilizes differentiation, which in many cases is simpler.
    [Show full text]
  • Design Analysis Method for Multidisciplinary Complex Product Using Sysml
    MATEC Web of Conferences 139, 00014 (2017) DOI: 10.1051/matecconf/201713900014 ICMITE 2017 Design Analysis Method for Multidisciplinary Complex Product using SysML Jihong Liu1,*, Shude Wang1, and Chao Fu1 1 School of Mechanical Engineering and Automation, Beihang University, 100191 Beijing, China Abstract. In the design of multidisciplinary complex products, model-based systems engineering methods are widely used. However, the methodologies only contain only modeling order and simple analysis steps, and lack integrated design analysis methods supporting the whole process. In order to solve the problem, a conceptual design analysis method with integrating modern design methods has been proposed. First, based on the requirement analysis of the quantization matrix, the user’s needs are quantitatively evaluated and translated to system requirements. Then, by the function decomposition of the function knowledge base, the total function is semi-automatically decomposed into the predefined atomic function. The function is matched into predefined structure through the behaviour layer using function-structure mapping based on the interface matching. Finally based on design structure matrix (DSM), the structure reorganization is completed. The process of analysis is implemented with SysML, and illustrated through an aircraft air conditioning system for the system validation. 1 Introduction decomposition and function modeling, function structure mapping and evaluation, and structure reorganization. In the process of complex product design, system The whole process of the analysis method is aimed at engineering is a kind of development methods which providing designers with an effective analysis of ideas covers a wide range of applications across from system and theoretical support to reduce the bad design and requirements analysis, function decomposition to improve design efficiency.
    [Show full text]
  • Powerdesigner 16.6 Data Modeling
    SAP® PowerDesigner® Document Version: 16.6 – 2016-02-22 Data Modeling Content 1 Building Data Models ...........................................................8 1.1 Getting Started with Data Modeling...................................................8 Conceptual Data Models........................................................8 Logical Data Models...........................................................9 Physical Data Models..........................................................9 Creating a Data Model.........................................................10 Customizing your Modeling Environment........................................... 15 1.2 Conceptual and Logical Diagrams...................................................26 Supported CDM/LDM Notations.................................................27 Conceptual Diagrams.........................................................31 Logical Diagrams............................................................43 Data Items (CDM)............................................................47 Entities (CDM/LDM)..........................................................49 Attributes (CDM/LDM)........................................................55 Identifiers (CDM/LDM)........................................................58 Relationships (CDM/LDM)..................................................... 59 Associations and Association Links (CDM)..........................................70 Inheritances (CDM/LDM)......................................................77 1.3 Physical Diagrams..............................................................82
    [Show full text]
  • Understanding the Rational Function Model: Methods and Applications
    UNDERSTANDING THE RATIONAL FUNCTION MODEL: METHODS AND APPLICATIONS Yong Hu, Vincent Tao, Arie Croitoru GeoICT Lab, York University, 4700 Keele Street, Toronto M3J 1P3 - {yhu, tao, ariec}@yorku.ca KEY WORDS: Photogrammetry, Remote Sensing, Sensor Model, High-resolution, Satellite Imagery ABSTRACT: The physical and generalized sensor models are two widely used imaging geometry models in the photogrammetry and remote sensing. Utilizing the rational function model (RFM) to replace physical sensor models in photogrammetric mapping is becoming a standard way for economical and fast mapping from high-resolution images. The RFM is accepted for imagery exploitation since high accuracies have been achieved in all stages of the photogrammetric process just as performed by rigorous sensor models. Thus it is likely to become a passkey in complex sensor modeling. Nowadays, commercial off-the-shelf (COTS) digital photogrammetric workstations have incorporated the RFM and related techniques. Following the increasing number of RFM related publications in recent years, this paper reviews the methods and key applications reported mainly over the past five years, and summarizes the essential progresses and address the future research directions in this field. These methods include the RFM solution, the terrain- independent and terrain-dependent computational scenarios, the direct and indirect RFM refinement methods, the photogrammetric exploitation techniques, and photogrammetric interoperability for cross sensor/platform imagery integration. Finally, several open questions regarding some aspects worth of further study are addressed. 1. INTRODUCTION commercial companies, such as Space Imaging (the first high- resolution satellite imagery vendor), to adopt the RFM scheme A sensor model describes the geometric relationship between in order to deliver the imaging geometry model has also the object space and the image space, or vice visa.
    [Show full text]
  • PML, an Object Oriented Process Modelling Language
    PML, an Object Oriented Process Modeling Language Prof. Dr.-Ing. Reiner Anderl 1, and Dipl.-Ing. Jochen Raßler 2 1 Prof. Dr.-Ing. Reiner Anderl, Germany, [email protected] 2 Dipl.-Ing. Jochen Raßler, Germany, [email protected] Abstract: Processes are very important for the success within many business fields. They define the proper application of methods, technologies, tools and company structures in order to reach business goals. Important processes to be defined are manufacturing processes or product development processes for example to guarantee the company’s success. Over the last decades many process modeling languages have been developed to cover the needs of process modeling. Those modeling languages have several limitations, mainly they are still procedural and didn’t follow the paradigm change to object oriented modeling and thus often lead to process models, which are difficult to maintain. In previous papers we have introduced PML, Process Modeling Language, and shown it’s usage in process modeling. PML is derived from UML and hence fully object oriented and uses modern modeling techniques. It is based on process class diagrams that describe methods and resources for process modeling. In this paper the modeling language is described in more detail and new language elements will be introduced to develop the language to a generic usable process modeling language. Keywords: process modeling language, PML, UML 1. Introduction As the tendency of enterprises to collaborate growths steadily, industry faces new challenges managing business processes, product development processes, manufacturing processes and much more. Furthermore, discipline spanning product development processes are increasing, e.
    [Show full text]
  • Using BEAM Software to Simulate the Introduction of On-Demand, Automated, and Electric Shuttles for Last Mile Connectivity in Santa Clara County
    San Jose State University SJSU ScholarWorks Mineta Transportation Institute Publications 1-2021 Using BEAM Software to Simulate the Introduction of On-Demand, Automated, and Electric Shuttles for Last Mile Connectivity in Santa Clara County Gary Hsueh Mineta Transportation Institute David Czerwinski San Jose State University Cristian Poliziani Mineta Transportation Institute Terris Becker San Jose State University Alexandre Hughes San Jose State University See next page for additional authors Follow this and additional works at: https://scholarworks.sjsu.edu/mti_publications Part of the Sustainability Commons, and the Transportation Commons Recommended Citation Gary Hsueh, David Czerwinski, Cristian Poliziani, Terris Becker, Alexandre Hughes, Peter Chen, and Melissa Benn. "Using BEAM Software to Simulate the Introduction of On-Demand, Automated, and Electric Shuttles for Last Mile Connectivity in Santa Clara County" Mineta Transportation Institute Publications (2021). https://doi.org/10.31979/mti.2021.1822 This Report is brought to you for free and open access by SJSU ScholarWorks. It has been accepted for inclusion in Mineta Transportation Institute Publications by an authorized administrator of SJSU ScholarWorks. For more information, please contact [email protected]. Authors Gary Hsueh, David Czerwinski, Cristian Poliziani, Terris Becker, Alexandre Hughes, Peter Chen, and Melissa Benn This report is available at SJSU ScholarWorks: https://scholarworks.sjsu.edu/mti_publications/343 Project 1822 January 2021 Using BEAM Software to
    [Show full text]
  • Best Practices in Business Instruction. INSTITUTION Delta Pi Epsilon Society, Little Rock, AR
    DOCUMENT RESUME ED 477 251 CE 085 038 AUTHOR Briggs, Dianna, Ed. TITLE Best Practices in Business Instruction. INSTITUTION Delta Pi Epsilon Society, Little Rock, AR. PUB DATE 2001-00-00 NOTE 97p. AVAILABLE FROM Delta Pi Epsilon, P.O. Box 4340, Little Rock, AR 72214 ($15). Web site: http://www.dpe.org/ . PUB TYPE Collected Works General (020) Guides Classroom Teacher (052) EDRS PRICE EDRS Price MF01/PC04 Plus Postage. DESCRIPTORS Accounting; *Business Education; Career Education; *Classroom Techniques; Computer Literacy; Computer Uses in Education; *Educational Practices; *Educational Strategies; Group Instruction; Keyboarding (Data Entry); *Learning Activities; Postsecondary Education; Secondary Education; Skill Development; *Teaching Methods; Technology Education; Vocational Adjustment; Web Based Instruction IDENTIFIERS *Best Practices; Electronic Commerce; Intranets ABSTRACT This document is intended to give business teachers a few best practice ideas. Section 1 presents an overview of best practice and a chart detailing the instructional levels, curricular areas, and main competencies addressed in the 26 papers in Section 2. The titles and authors of the papers included in Section 2 are as follows: "A Software Tool to Generate Realistic Business Data for Teaching" (Catherine S. Chen); "Alternatives to Traditional Assessment of Student Learning" (Nancy Csapo); "Applying the Principles of Developmental Learning to Accounting Instruction" (Burt Kaliski); "Collaborative Teamwork in the Classroom" (Shelia Tucker); "Communicating Statistics Measures of Central Tendency" (Carol Blaszczynski); "Creating a Global Business Plan for Exporting" (Les Dlabay); "Creating a Supportive Learning Environment" (Rose Chinn); "Developing Job Survival Skills"(R. Neil Dortch); "Engaging Students in Personal Finance and Career Awareness Instruction: 'Welcome to the Real World!'" (Thomas Haynes); "Enticing Students to Prepare for and to Stay 'Engaged' during Class Presentations/Discussions" (Zane K.
    [Show full text]
  • Integration Definition for Function Modeling (IDEF0)
    NIST U.S. DEPARTMENT OF COMMERCE PUBLICATIONS £ Technology Administration National Institute of Standards and Technology FIPS PUB 183 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR FUNCTION MODELING (IDEFO) » Category: Software Standard SUBCATEGORY: MODELING TECHNIQUES 1993 December 21 183 PUB FIPS JK- 45C .AS A3 //I S3 IS 93 FIPS PUB 183 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR FUNCTION MODELING (IDEFO) Category: Software Standard Subcategory: Modeling Techniques Computer Systems Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 Issued December 21, 1993 U.S. Department of Commerce Ronald H. Brown, Secretary Technology Administration Mary L. Good, Under Secretary for Technology National Institute of Standards and Technology Arati Prabhakar, Director Foreword The Federal Information Processing Standards Publication Series of the National Institute of Standards and Technology (NIST) is the official publication relating to standards and guidelines adopted and promulgated under the provisions of Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. These mandates have given the Secretary of Commerce and NIST important responsibilities for improving the utilization and management of computer and related telecommunications systems in the Federal Government. The NIST, through its Computer Systems Laboratory, provides leadership, technical guidance,
    [Show full text]
  • Metamodeling and Method Engineering with Conceptbase”
    This is a pre-print of the book chapter M. Jeusfeld: “Metamodeling and method engineering with ConceptBase” . In Jeusfeld, M.A., Jarke, M., Mylopoulos, J. (eds): Metamodeling for Method Engineering, pp. 89-168. The MIT Press., 2009; the original book is available from MIT Press http://mitpress.mit.edu/node/192290 This pre-print may only be used for scholar, non-commercial purposes. Most of the sources for the examples in this chapter are available via http://merkur.informatik.rwth-aachen.de/pub/bscw.cgi/3782591 for download. They require ConceptBase 7.0 or later available from http://conceptbase.cc. Metamodeling and Method Engineering with ConceptBase Manfred Jeusfeld Abstract. This chapter provides a practical guide on how to use the meta data repository ConceptBase to design information modeling methods by using meta- modeling. After motivating the abstraction principles behind meta-modeling, the language Telos as realized in ConceptBase is presented. First, a standard factual representation of statements at any IRDS abstraction level is defined. Then, the foundation of Telos as a logical theory is elaborated yielding simple fixpoint semantics. The principles for object naming, instantiation, attribution, and specialization are reflected by roughly 30 logical axioms. After the language axiomatization, user-defined rules, constraints and queries are introduced. The first part is concluded by a description of active rules that allows the specification of reactions of ConceptBase to external events. The second part applies the language features of the first part to a full-fledged information modeling method: The Yourdan method for Modern Structured Analysis. The notations of the Yourdan method are designed along the IRDS framework.
    [Show full text]
  • DATA MODELS to SUPPORT METROLOGY by Saeed
    DATA MODELS TO SUPPORT METROLOGY by Saeed Heysiattalab A dissertation submitted to the faculty of The University of North Carolina at Charlotte in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Mechanical Engineering Charlotte 2017 Approved by: ______________________________ Dr. Edward P. Morse ______________________________ Dr. Robert G. Wilhelm ______________________________ Dr. Jimmie A Miller ______________________________ Dr. M. Taghi Mostafavi ______________________________ Dr. Jing Xiao ii ©2017 Saeed Heysiattalab ALL RIGHTS RESERVED iii ABSTRACT SAEED HEYSIATTALAB. Data models to support metrology (Under the supervision of Dr. EDWARD P. MORSE) The Quality Information Framework (QIF) is a project initiated in 2010 by the Dimensional Metrology Standards Consortium (DMSC is an American Standards Developing Organization) to address metrology interoperability. Specifically, the QIF supports the exchange of metrology-relevant information throughout the product lifecycle from the design stage through manufacturing, inspection, maintenance, and recycling / end-of-life processing. The QIF standard is implemented through a set of XML schemas called "Application Schemas" along with common core "XML schema libraries". Of these schemas, QIF Measurement Resources and QIF Rules are the two application schemas on which this research is focused. QIF Measurement Resources is an application schema developed to provide standard representations of physical measuring tools and components, and can be used to support measurement planning, statistical studies, traceability, etc. The Resources schema was supported by the creation of a new hierarchy of metrology resources in support of the product lifecycle. The QIF Rules schema is under development to provide the language with which manufacturers can define how dimensional measurement equipment is selected for various tasks, and how this equipment is used during the measurement task.
    [Show full text]