CIM Modeling: IDEF0 and Idef1x
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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, -
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. -
Modelling, Analysis and Design of Computer Integrated Manueactur1ng Systems
MODELLING, ANALYSIS AND DESIGN OF COMPUTER INTEGRATED MANUEACTUR1NG SYSTEMS Volume I of II ABDULRAHMAN MUSLLABAB ABDULLAH AL-AILMARJ October-1998 A thesis submitted for the DEGREE OP DOCTOR OF.PHILOSOPHY MECHANICAL ENGINEERING DEPARTMENT, THE UNIVERSITY OF SHEFFIELD 3n ti]S 5íamc of Allai]. ¿Hoot (gractouo. iHHoßt ¿Merciful. ACKNOWLEDGEMENTS I would like to express my appreciation and thanks to my supervisor Professor Keith Ridgway for devoting freely of his time to read, discuss, and guide this research, and for his assistance in selecting the research topic, obtaining special reference materials, and contacting industrial collaborations. His advice has been much appreciated and I am very grateful. I would like to thank Mr Bruce Lake at Brook Hansen Motors who has patiently answered my questions during the case study. Finally, I would like to thank my family for their constant understanding, support and patience. l To my parents, my wife and my son. ABSTRACT In the present climate of global competition, manufacturing organisations consider and seek strategies, means and tools to assist them to stay competitive. Computer Integrated Manufacturing (CIM) offers a number of potential opportunities for improving manufacturing systems. However, a number of researchers have reported the difficulties which arise during the analysis, design and implementation of CIM due to a lack of effective modelling methodologies and techniques and the complexity of the systems. The work reported in this thesis is related to the development of an integrated modelling method to support the analysis and design of advanced manufacturing systems. A survey of various modelling methods and techniques is carried out. The methods SSADM, IDEFO, IDEF1X, IDEF3, IDEF4, OOM, SADT, GRAI, PN, 10A MERISE, GIM and SIMULATION are reviewed. -
A Method for Business Process Model Analysis and Improvement
A Method for Business Process Model Analysis and Improvement Andrii Kopp[0000-0002-3189-5623] and Dmytro Orlovskyi[0000-0002-8261-2988] National Technical University “KhPI”, Kyrpychova str. 2, 61002 Kharkiv, Ukraine {kopp93, orlovskyi.dm}@gmail.com Abstract. Since business process modeling is considered as the foundation of Business Process Management, it is required to design understandable and mod- ifiable process models used to analyze and improve depicted business process- es. Therefore, this article proposes a method for business process model analy- sis and improvement. The lifecycle of Business Process Management from business process modeling to applying the Business Intelligence and process mining techniques is considered. Existing approaches to business process model analysis are reviewed. Proposed method is based on best practices in business process modeling, process model metrics, and corresponding thresholds. The usage of business process model metrics and thresholds to formalize process modeling guidelines is outlined, as well as the procedure of business process model analysis and improvement is shown. The application of Business Intelli- gence techniques to support the proposed method is demonstrated. Keywords: Business Process Management, Business Process Modeling, Pro- cess Model Analysis, Process Model Improvement. 1 Introduction Today Business Process Management (BPM) is one of the most popular management concepts. It is based on the set of methods and tools used to design, analyze, improve, and automate organizational business processes. In its turn, business process is a structured set of activities that takes one or more kinds of input and produces a prod- uct or service valuable for a particular customer [1]. According to professor van der Aalst [2], BPM combines knowledge from infor- mation technology and knowledge from management sciences and applies this to operational business processes. -
International Standard Iso/Iec/ Ieee 31320-2
This is a previewINTERNATIONAL - click here to buy the full publication ISO/IEC/ STANDARD IEEE 31320-2 First edition 2012-09-15 Information technology — Modeling Languages — Part 2: Syntax and Semantics for IDEF1X97 (IDEFobject) Technologies de l'information — Langages de modélisation — Partie 2: Syntaxe et sémantique pour IDEF1X97 (IDEFobject) Reference number ISO/IEC/IEEE 31320-2:2012(E) © IEEE 1999 ISO/IEC/IEEE 31320-2:2012(E)This is a preview - click here to buy the full publication COPYRIGHT PROTECTED DOCUMENT © IEEE 1999 All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying and microfilm, without permission in writing from ISO, IEC or IEEE at the respective address below. ISO copyright office IEC Central Office Institute of Electrical and Electronics Engineers, Inc. Case postale 56 3, rue de Varembé 3 Park Avenue, New York CH-1211 Geneva 20 CH-1211 Geneva 20 NY 10016-5997, USA Tel. + 41 22 749 01 11 Switzerland E-mail [email protected] Fax + 41 22 749 09 47 E-mail [email protected] Web www.ieee.org E-mail [email protected] Web www.iec.ch Web www.iso.org Published in Switzerland ii © IEEE 1999 – All rights reserved This is a preview - click here to buy the full publicationISO/IEC/IEEE 31320-2:2012(E) Foreword ISO (the International Organization for Standardization) and IEC (the International Electrotechnical Commission) form the specialized system for worldwide standardization. National bodies that are members of ISO or IEC participate in the development of International Standards through technical committees established by the respective organization to deal with particular fields of technical activity. -
Modeling Languages Part 2: Syntax and Semantics for IDEF1X97IDEF1X97 (IDEF(Idefobject)Object ) BS ISO/IEC/IEEE 31320-2:2012 BRITISH STANDARD
BSBS ISO/IEC/IEEEISO/IEC/IEEE 31320-2:2012 BSI Standards Publication Information technology — Modeling Languages Part 2: Syntax and Semantics for IDEF1X97IDEF1X97 (IDEF(IDEFobject)object ) BS ISO/IEC/IEEE 31320-2:2012 BRITISH STANDARD National foreword This British Standard is the UK implementation of ISO/IEC/IEEE 31320-2:2012. The UK participation in its preparation was entrusted to Technical Committee IST/15, Software and systems engineering. A list of organizations represented on this committee can be obtained on request to its secretary. This publication does not purport to include all the necessary provisions of a contract. Users are responsible for its correct application. © The British Standards Institution 2013. Published by BSI Standards Limited 2013 ISBN 978 0 580 81153 1 ICS 35.080 Compliance with a British Standard cannot confer immunity from legal obligations. This British Standard was published under the authority of the Standards Policy and Strategy Committee on 31 July 2013. Amendments issued since publication Date Text affected BS ISO/IEC/IEEE 31320-2:2012 INTERNATIONAL ISO/IEC/ STANDARD IEEE 31320-2 First edition 2012-09-15 Information technology — Modeling Languages — Part 2: Syntax and Semantics for IDEF1X97 (IDEFobject) Technologies de l'information — Langages de modélisation — Partie 2: Syntaxe et sémantique pour IDEF1X97 (IDEFobject) Reference number ISO/IEC/IEEE 31320-2:2012(E) © IEEE 1999 BS ISO/IEC/IEEE 31320-2:2012 ISO/IEC/IEEE 31320-2:2012(E) COPYRIGHT PROTECTED DOCUMENT © IEEE 1999 All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying and microfilm, without permission in writing from ISO, IEC or IEEE at the respective address below. -
IDEF0 Includes Both a Definition of a Graphical Model
Faculty of Information Technologies Basic concepts of Business Process Modeling Šárka Květoňová Brno, 2006 Outline • Terminology • A Brief History on Business Activity • The basic approaches to Business Process Modeling – Formal x informal methods of specification and analysis – Verification of the informal defined methods • Software tools for Business Process specification and analysis (ARIS, BP Studio, JARP, Woflan, Flowmake, Oracle BPEL Process Manager, etc.) • Standards of BPM in context of BP Challenges – BPEL, BPMN, BPML, BPQL, BPSM, XPDL, XLANG, WSCI etc. • Mapping of UML Business Processes to BPEL4WS • Conclusions Terminology of BPM • Business Process is a set of one or more linked procedures or activities which collectively realize a business objective or policy goal, normally within the context of an organizational structure defining functional roles and relationships. • Business process model – is the representation of a business process in a form which supports automated manipulation, such as modeling or enactment. The process definition consists of a network of activities and their relationships, criteria to indicate the start and termination of the process, and information about the individual activities, such as participants, associated data, etc. • Workflow – is the automation of a business process, in whole or part, during which documents, information or tasks are passed from one participant to another for action, according to a set of procedural rules. Terminology of BPM • Method is well-considered (sophisticated) system -
The Layman's Guide to Reading Data Models
Data Architecture & Engineering Services The Layman’s Guide to Reading Data Models A data model shows a data asset’s structure, including the relationships and constraints that determine how data will be stored and accessed. 1. Common Types of Data Models Conceptual Data Model A conceptual data model defines high-level relationships between real-world entities in a particular domain. Entities are typically depicted in boxes, while lines or arrows map the relationships between entities (as shown in Figure 1). Figure 1: Conceptual Data Model Logical Data Model A logical data model defines how a data model should be implemented, with as much detail as possible, without regard for its physical implementation in a database. Within a logical data model, an entity’s box contains a list of the entity’s attributes. One or more attributes is designated as a primary key, whose value uniquely specifies an instance of that entity. A primary key may be referred to in another entity as a foreign key. In the Figure 2 example, each Employee works for only one Employer. Each Employer may have zero or more Employees. This is indicated via the model’s line notation (refer to the Describing Relationships section). Figure 2: Logical Data Model Last Updated: 03/30/2021 OIT|EADG|DEA|DAES 1 The Layman’s Guide to Reading Data Models Physical Data Model A physical data model describes the implementation of a data model in a database (as shown in Figure 3). Entities are described as tables, Attributes are translated to table column, and Each column’s data type is specified. -
Structured Models and Dynamic Systems Analysis: the Integration of the Idef0/Idef3 Modeling Methods and Discrete Event Simulation
STRUCTURED MODELS AND DYNAMIC SYSTEMS ANALYSIS: THE INTEGRATION OF THE IDEF0/IDEF3 MODELING METHODS AND DISCRETE EVENT SIMULATION Larry Whitman Adrien Presley Brian Huff Automation & Robotics Research Institute Division of Business and Accountancy The University of Texas at Arlington Truman State University 7300 Jack Newell Boulevard South 100 East Normal Fort Worth, Texas 76118, U.S.A. Kirksville, Missouri 63501, U.S.A. · To analyze and design the enterprise and its ABSTRACT processes prior to implementation · To help reduce complexity The role of modeling and simulation is receiving much · To communicate a common understanding of the press of late. However, the lack of practice in employing system a link between the two is alarming. A static model is · To gain stakeholder buy-in used to understand an enterprise or a system, and · To act as a documentation tool for ISO 9000, TQM, simulation is used for dynamic analysis. Generally, most Concurrent Engineering, and other efforts. models are considered static, whereas simulation is really A primary thrust of this research is to determine the a dynamic model. Static models are useful in achieving feasibility of using a single master static model of the understanding of the enterprise. Simulations are useful in enterprise for multiple purposes. Previous research has analyzing the behavior of the enterprise. presented a single suite perspective (Lingineni, Caraway Most enterprises develop and even maintain multiple et al. 1996) and uses custom developed software (Harrell types of models for different purposes. If a single model and Field 1996). This research uses commercial products can be used to drive other modeling purposes, then exclusively. -
IDEF1X Notation
1 Introduction I have been answering a few database design Questions, and providing IDEF1X-compliant Data Models as part of that, but it appears some seekers are unfamiliar with the Standard and the notation. So they ask "What is IDEF1X ?" or "What does this symbol mean ?" and consequently we go off on a side trip. Here is a Normalised answer. 1.1 Scope This document introduces IDEF1X and identifies the notation, so that standard-compliant Data Models can be read and fully understood. There are many closely related subjects, which require formal education; that is not provided here: • the Relational Model 1 • Normalisation 2 3 in general, and the specific Relational Normalisation identified in the Relational Model 4 • the IDEF1X Methodology or Relational database design 1.2 Layout This document is referenced from multiple contexts. It is therefore laid out as follows: • the Notation, if that is all you need • a reasonably detailed Introduction to the IDEF1X Standard The Data Model is not just about Notation; in order for it to be fully understood, a short introduction to the Standard and terminology is required. That is provided on next three pages, using an example; and the relevance of each item is discussed. • Page 5 identifies Related articles • my Extensions to the Standard, a stricter implementation still. 1.3 Notation IDEF1X Method & Notation IEEE Relation Notation Subtype Exclusive Item Definition Display Identifying Key 1::1-n Subtype Non-exclusive Primary Key: Unique Above line Identifying Alternate Key: Other Unique key AK 1::0-n -
An Idef1x Information Model for a Supply Chain Simulation
An IDEF1x Information Model for a Supply Chain Simulation Y. Tina Lee Manufacturing Systems Integration Division National Institute of Standards and Technology Gaithersburg, MD 20899-8260, USA Email: [email protected] phone: (301) 973-3550 fax: (301) 258 9749 Shigeki Umeda Management School Musashi University Nerima-ku Tokyo 176-8534, Japan Email: [email protected] phone: +81 3 5984 3837 fax: +81 3 3991 1198 ABSTRACT This paper describes the scope and configuration of the simulation model that is under development for a manufacturing supply chain. An information model that serves as a neutral interface specification is also presented in the paper. The supply chain simulation model described here is being developed to validate interface specifications as part of the Intelligent Manufacturing Systems (IMS) Modeling and Simulation Environments for Design, Planning and Operation of Globally Distributed Enterprises (MISSION) project [1]. This simulation model is largely based upon the practical business operations of a U.S. power-tools manufacturing company. The information model has been developed using the IDEF1X information modeling language [2]. The information model can ultimately be used to integrate distributed simulation models that are developed by other manufacturers to model their supply chains. KEYWORDS Information modeling, simulation, supply chain INTRODUCTION The Manufacturing System Integration Division (MSID) of the United States National Institute of Standards and Technology (NIST) participates in the Intelligent Manufacturing Systems (IMS) Modeling and Simulation Environments for Design, Planning and Operation of Globally Distributed Enterprises (MISSION) project [1]. “The goal of MISSION is to integrate and utilise new, knowledge-aware technologies of distributed persistent data management, as well as conventional methods and tools, in various enterprise domains, to meet the needs of globally distributed enterprise modelling and simulation” [1]. -
Introduction to IDEF0/3 for Business Process Modelling. Contents Tables & Figures
Introduction to IDEF0/3 for Business Process Modelling. Contents Introduction ............................................................................................................................................ 2 Introduction to IDEF0 and IDEF3: ....................................................................................................... 2 Parent and Child Maps ........................................................................................................................ 2 Tunnelling ........................................................................................................................................ 3 Construction of IDEF Maps ................................................................................................................. 3 Branches and Joins .......................................................................................................................... 3 Starting an IDEF0 Map ............................................................................................................................ 4 Root definition .................................................................................................................................... 4 The IDEF0 Numbering Convention ...................................................................................................... 5 Creating a model ..................................................................................................................................... 5 Decomposition ...............................................................................................................................