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SME Management Forum Completing the Cycle: Using PLM Information in the Sales and Service Functions

Authors:
  • Digital Twin Institute

Abstract

This was the first public presentation of the Digital Twin Model. It didn't have a name. It was simply "Conceptual Ideal for PLM." It was later presented at the University of Michigan Lurie Engineering Center at an organizing meeting for the PLM Consortium.
SME Management Forum
Completing the Cycle: Using PLM Information in the
Sales and Service Functions
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
PLM Definition
Product Lifecycle Management (PLM) is an
integrated, information driven approach to all
aspects of a product’s life from its design inception,
through its manufacture, deployment and
maintenance, and culminating in its removal from
service and final disposal.
Source: Dr Michael Grieves, CPD, CoE, Univ of Mich
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
PLM Cycle Next Step Paradigm
Screen Source: EDS
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
Conceptual Ideal for PLM
Real Space Virtual Space
VS1VS2VSn
Data
Information
Process
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
Conceptual Ideal for PLM
Real Space Virtual Space
VS1VS2VSn
Data
Information
Process
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
PLM Outside the Factory Door
uProduct distribution
uSales and delivery
uMaintenance and repair
uDisposal and recycling
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
Why Extend PLM?
uPPLM sounds awkward
uSource of cost reductions
uInformation feedback and feed forward
uComplete initiatives begun at earlier
stages
uPotential for improved customer
satisfaction
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
Source of Cost Reductions
uCosts do not stop at factory door
uExamples of information impacting costs
uFaulty production
uWarranty
uProduct liability
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
Information Feedback and Feed
Forward
uFeedback design changes
uFeedback manufacturing changes
uFeed forward to new designs
Design
Manufacture
Use
Analyze
and
Evaluate
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
Potential for Improved Customer
Satisfaction
uIn-home diagnostics, alerts, and
recommendations
uUpdated, tailored products
uProactive, integrated selling
uInnovative business models
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
Completing Initiatives
Screen Source: EDS
uDesign function objectives
uQuality control continuation
uDisposal and recycling verification
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
Issues Technical
uFramework and definitional activities
uData structuring and processing
uData acquisition
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
Data Acquisition
uBridge between
object and its
representation
uNext wave in
technology
uNeeds standards
and controls
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
Issues -Social
uEducation and training
uPrivacy
uSecurity
uOwnership
SME MANAGEMENT FORUM
OCTOBER 31, 2002 • TROY, MI
Copyright 2002 Michael W. Grieves,LLC
Summarizing…
uPLM is a “next-step” paradigm
uPLM needs to continue past factory door
uPLM requires a strong conceptual basis
and comprehensive structuring
uPLM has significant technical and social
challenges
Chapter
With the development of communications and big data, digital twin as a novel paradigm has been received insentive attentions. However, there are some huge challenges in designing digital twins due to the complexity of digital twin applications. Firstly, most existing approaches merely focus on customized development, they are not general enough to tailor multiple applicaiton domains. Secondly, it lacks down-to-earth methodology for leading the designing process. Thirdly, it is tricky for developers to develop high valuable applications in real scenarios. To conquer these challenges, in this paper, we propose an EIMDC model for designing digital twin applications. It is comprised of entity, infrastructure, model, data and context. The entity is used to depict the physical entities mentioned in applications. The infrastructure exhibits the supporting infrastructure for enabling the digitalization of the physical entities. The model specifies the behavior of digital twin including geometric physical modeling, data-driven model and mechanism model. The data illustrates the data in cyberspace sensing from physical entites. The context represents the application context for digital twins. Finally we use a SMT production line case to show the effectiveness of the proposed model.
Article
Der Digitale Zwilling (DZ) ist ein wichtiger Bestandteil der Industrie 4.0 und ermöglicht Anwendungen wie Predictive Maintenance, virtuelles Prototyping oder die Steuerung von Produktions- und Logistikprozessen. Herausforderungen bei der Entwicklung des Digitalen Zwillings entstehen durch fehlende Struktur und Standards. Mit diesem Beitrag soll ein Vorgehensmodell für die Erstellung eines Digitalen Zwillings im Bereich der Produktion und Logistik aufgezeigt werden. Das Vorgehensmodell hilft bei der Einordnung, für welche Anwendungsfälle ein Digitaler Zwilling entwickelt werden kann, welche Schritte bei einer Umsetzung erfolgen müssen, und gibt einen Überblick über die Voraussetzungen und Komplexität bei der Entwicklung. Das zentrale Element bildet dabei die zielgerichtete Aufbereitung und Analyse der zugrunde liegenden Daten mittels des in der Industrie etablierten Vorgehensmodell CRISP-DM.
Article
Full-text available
The interest in defining and implementing Digital Twins (DT) is at the forefront of today’s product organizations. The evolution of increasingly complex systems requires that their information be organized and managed via digital twins. In addition, the development of Artificial Intelligence (AI) will result in an increasing degree of system complexity. These complex systems will exhibit true emergent behavior as AIs modify system aspects as the result of goal seeking and learning. DTs will need to increase in capability, becoming intelligent in their approach. This article presents a discussion on how these Intelligent Digital Twins (IDTs) will evolve and assist in developing and managing complex systems.
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