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Digi tanscd 2017 _ infonomics

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Auswirkung von Digitaler Transformation auf die Technische Kommunikation

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Digi tanscd 2017 _ infonomics

  1. 1. Flexibility of Infonomics in the Industrial Production of Machines and Plants − Knowledge Management in the Industry 4.0 – DigiTrans CD funding code 01DO16006 Prof. Dr.-Ing. Michael Schaffner
  2. 2. 2Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Our vision of Industrie 4.0
  3. 3. 3Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Our vision of Industrie 4.0 © Graphscape © Bosch © Festo © VW
  4. 4. 4Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Today's reality is in best case „Industry 3.0 As a result: The implicit knowledge of the technicians provides the flexibility of infonomics in „Industry 3.0“.
  5. 5. 5Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Agenda Flexibility of Infonomics in the Industrial Production … 1. Problem Settings 2. Research Gap and Scientific Approach 3. Findings (general view of intermediate status) 4. Outlook
  6. 6. 6Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Infonomics in research landscape  is primarily focussed on process data stream to control linked manufacturing systems  but the operation and service of machines and plants must be not ignored Research interest: technical information for handling the equipment 1. Problem Settings Motivation for the Topic design drawings risk analysis supplier documentations spare part information approval documents handling context manufacturing processes illustrations pictures Technical Communication (technical writing and translating) Input Output instruction manuals maintenance manuals service literature video clips training material © Luis Louro - Fotolia.com
  7. 7. 7Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Scenario of “predictive maintenance”  relevant components of machines and plants are equipped with sensor technologies  these embedded systems are monitoring the wear conditions  if needed, an OPC-UA-event triggers different digital (cloud-)services, e.g.  HR database: searching a technician with specific experiences  HR workforce database: booking this technician  ERP service department: ordering spare parts  ERP material store: allocate specific tools  Content Management: delivering knowledge artifacts (maintenance instructions) in various multi-media formats exactly fitting the - mobile device capabilities - education & experience level  ERGO: the knowledge of working behavior migrates to integrated business processes  in traditional factories human actions and decisions is 75% based on implicit knowledge  in smart factories these knowledge has to be transformed into smart services by digitization 1. Problem Settings Case Study Bosch (Ferber 2013, 3 Perspektiven 2016)
  8. 8. 8Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Degree of Digitization of Value Chains (PwC 2014, n=235)  significant increasing (from 20 to 80%)  over all sectors BUT: Where does the digital data come from?  in some industries up to 99% of all data was lost before reaching operational decision makers (McKinsey 2015, n=300)  no capturing  no transfer 1. Problem Settings Wish and Reality of Digitization 20192014 Mechanical and Automotive Process Industry Electrical Engineering, Information and Plant Engineering Suppliers Electronics Communication Industrie  no analysis  no synthesis  no infrastructure  no structured data © PWC 2014
  9. 9. 9Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Agenda Flexibility of Infonomics in the Industrial Production … 1. Problem Settings 2. Research Gap and Scientific Approach 3. Findings (general view of intermediate status) 4. Outlook
  10. 10. 10Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Digital Transformation in context of technical communication requires How will the work organization in technical communication change in context of Industry 4.0 a) along the end-to-end value chain of suppliers, manufacturers and commercial users (horizontal integration) b) within the cross-functional IT-Systems of a company (vertical integration)? (Schaffner 2016a) 2. Research Gap and Scientific Approach Research Question digital product lifecycle logbook (collecting tank for information artifacts) sensitive working with the sector „technical communication“ 1 3 standardization of processes and binding standards 2 semantical structures for context-sensitive compilation of artifacts are missing but bad reputation and poor investments“ on official sites – by now – only rough ideas about standardizations and norms
  11. 11. 11Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 2. Research Gap and Scientific Approach Scientific Approach Research, Development & Support programmes “intelligent information for Request & Delivery Standard” (iiRDS) sponsorship: International Association of Technical Communication e.V. project management: Prof. Dr. M. Schaffner (since 3/16) „TecCOMFrame“ - European Academic Competence Framework for Technical Communicators sponsorship: Erasmus+ program, European Union silent partner: Prof. Dr. M. Schaffner (since 1/17) “unternehmenswertMensch” in the program “future of work” sponsorship: ESF, BMAS, BMBF accredited partner: Prof. Dr. M. Schaffner (since 10/13) “Curriculum 4.0 - consequences of digitization for study reformations at german universities sponsorship: Stifterverband applicants: Prof. Dr. R. Jerrentrup Prof. Dr. M. Schaffner (07/16) "Technology-based service systems“ – in research program "Innovations for tomorrow's production, service and work" sponsorship: BMBF concept creation: FOM-KCT, Prof. Dr. M. Schaffner (02/16) ofher fields of empirical observations continuous evaluation of academic studies official institutions in Industry 4.0 (DIN, Fraunhofer, VDI/VDE,VDMA) field studies based on qualified vocational network mid-sized and large enterprises with activities in Industry 4.0 (e.g. ABB, Bosch, Empolis, Festo, B. Krone, KUKA, Leitner, SAP, Siemens, Trumpf) active cooperation in the FOM Competence Centre of Technology and Innovation Management (KCT) as a member and co-opted scientist
  12. 12. 12Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Agenda Flexibility of Infonomics in the Industrial Production … 1. Problem Settings 2. Research Gap and Scientific Approach 3. Findings (general view of intermediate status) 4. Outlook
  13. 13. Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Paradigm change in creation of technical literatur 3. Findings (general view of intermediate status) Disruptive Business Modell in Technical Communication from user orientation to user centering Not the „product“ but the effect and benefits of the service is in focus of the „product“. „documentation“ is valuable „information“ solves a problem extrinsic stimulated technical writers (engineers) analyzing realistic situations of action and writing suitable instructions (service documentation) (static, usually based on status of delivery: BOM as delivered) Industry 3.0 user = humans intrinsic stimulated as a coming out from the situation, a remote terminal creates an individual, context- sensitive image of the requested information (dynamically: based on BOM as built, wear data etc.) Industry 4.0 user = humans + devices © kuroksta - Fotolia.com
  14. 14. 14Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017  working on static knowledge  in prevailing settings, people perform for these cognitive process (implicit knowledge)  technical writing is “easy” and just needs to deliver non-dynamic information  working on dynamically evolving knowledge  for cognitive processes in smart devices technical writing has to foster metadata-structures which allows additionally 3. Findings (general view of intermediate status) Extended Knowledge Management inspired by Lehner (2012) Knowledge as a process of convenient interconnection of information knowledge class definition description situational knowledge knowledge of typical, domain- specific situations correct classification and interpretation of the application context (eg operation, maintenance, jam-up) conceptual knowledge static knowledge about facts, concepts and principles Facts about what is to be done in a specific situation knowledge class definition description procedural knowledge acquired through practice extension of factual knowledge through experience (learning curves) strategic knowledge metacognitive knowledge about an optimal structuring of the problem-solving behavior problem-solving strategies for problems for which there are no general solution strategies Industry 3.0 Industry 4.0
  15. 15. 15Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Rethinking is necessary  no longer thinking in products (e.g. instruction manuals, service literature)  thinking in various usability of information fragments in different situations  in addition to humans, information users can also be smart devices Modification of job descriptions  80% of the daily work technical writer are creating content  and only 20% they are creating metadata 80% content, 20% meta data 20% content, 80% meta data creation of content creation of structures (technical writing today) (technical writing tomorrow) 3. Findings (general view of intermediate status) Skill Profile Updating Thiswillreverse!
  16. 16. 16Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 What we need is „intelligent information“  based on gapless data capturing  and semantical interconnections At first we have to eliminate digital inefficiencies: 3. Findings (general view of intermediate status) Digital Inefficiencies in Capturing and Passtrough (McKinsey 2015, S. 22) digital non-captured information is hidden knowledge and can not be used in automated knowledge processes (horizontal & vertical value chains)
  17. 17. 17Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 How can intelligent information become a reality?  as simple as formidable: the idea of the International Association of Technical Communication (tekom e.V.) Thinking backwards – based on the benefit.  provision of usage information must be automated  the benefit is the problem solving  for problem solving we need a delivery of suitable, concentrated and actual instructions (not a confusing manual with 500 pages)  at the very first the beginning a hyper-accurate request is needed  all these leads us to “intelligent information” o a semantical structure of context and content, which is representing the cognitive flexibility of the human brain o to the tekom standard »intelligent information Request & Delivery Standard« (iiRDS) 3. Findings (general view of intermediate status) Implementation of the Customer Centering www.tekom.de/technische-kommunikation/iirds.html (14.02.2017)
  18. 18. 18Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 The idea and current state of development  flexibility infonomics in technical communication needs 3. Findings (general view of intermediate status) iiRDS: New upcoming Standard in Technical Communication dynamischeAnpassungandie Person,dieRolle,die Arbeitsaufgabeundden Anwendungskontext  situation-related information  dynamic integration of assistance information and operating parameters  end-to-end data management  … Herstellerunabhängigkeit  normalized metadata  for processing information from different sources  end-to-end data transfer  normalized content format  cross-media processing  terminal-specific display  … logical flexibility (user perspective) © semantical modelling format description intelligent information Request and Delivery Standard (© iiRDS is a trademark of tekom e.V., tekom 2016; Fritz/Parson/Kreutzer 2016; Schaffner 2016b) infrastructural flexibility (technical perspective)
  19. 19. 19Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 3. Findings (general view of intermediate status) Semantical Model of Technical Information 4.0 (exemplary)          Steps 1 – 4: Request triggering Steps 5 – 9: Delivery triggering
  20. 20. 20Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Specific focus: „predictive maintenance“ 3. Findings (general view of intermediate status) Illustration of Job Profile Reform „Knowledge Architect“ knowledge class Exemplary tasks situational knowledge • semantical conjunction of machine-readable alarm-signals (e.g. sensor values embedded in an OPC-UA communication protocol) and context- sensitive content (e.g. lifecycle stage) • metadata development to support situation decisions on user-side (e.g. Big-Data analytic) => What situation could become critical? • especially across supplier value chains conceptual knowledge • action-based matching of local framework conditions and content (e.g. regarding language, local vocational education) • conjunction of necessary assistance data (upstream and downstream) regarding to the specific situation procedural knowledge • conjunction of the machine agents with the agents of for example • HR Infosystem (e.g. profile database, workforce management) • ERP (e.g. material logistics, spare part department) • gapless feedback and digitization of service information (experience knowledge) strategic knowledge • heuristic logic, data mining in Big Data for identification of error patterns, new solution patterns, qualified experts etc.
  21. 21. 21Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 Agenda Flexibility of Infonomics in the Industrial Production … 1. Problem Settings 2. Research Gap and Scientific Approach 3. Findings (general view of intermediate status) 4. Outlook
  22. 22. 22Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 We are only just on the first meters of the long way towards flexibility infonomics in Industry 4.0.  digitalization concepts are needed to avoid digital inefficiencies (integration of components of the 3rd industrial revolution)  (international) standardization is still under development, e.g. running projects  DIN spec. 91303 (digital product lifecaclelogbook)  Tekom-iiRDS (provisioning standard for intelligent information)  VDI 2770 (digital manufacturers information)  ZVEI RAMI 4.0 (reference architecture model Industry 4.0)  affordable digital cloud-services are needed for integration small-sized companies (cf. project “Technology-based service systems“ 2017-2020 of Federal Ministery of Education and Research) 4. Outlook
  23. 23. 23Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 3 Perspektiven (2016): Wie implizites Wissen der Wertschöpfungskette zugeführt werden kann („How implicit knowledge can be transferred in value chains“); www.3perspektiven.de, Handelsblatt 12.12.2016 Brynjolfsson, E.; McAfee, A. (2016): The Second Machine Age; Kulmbach 2016 DKE (2015): Deutsche Normungs-Roadmap Industrie 4.0 („German standardization roadmap“), Berlin 10/2015 Ferber, S. (2013): Bosch - Das Internet der Dinge auf dem Weg in die Fabrik („Internet of things on the way to the factory“); in: VDMA Nachrichten, Sonderdruck, 3/2013, S. 18ff. Fraunhofer (2013) (ed.): Produktionsarbeit der Zukunft – Industrie 4.0 („Production work of the future – Industry 4.0“), Stuttgart 2013 Fritz, M.; Parson, U.; Kreutzer, M. (2016): Intelligent Information Request and Delivery Standard; tekom yearly conference, Stuttgart, 08.-10.11.2016 Lehner, F. (2012): Wissensmanagement („Knowledge Management“); München 2012 McKinsey (2015) (ed.): Industry 4.0 – How to navigate digitization of the manufacturing sector, München 2015 North, K. (2011): Wissensorientierte Unternehmensführung („Knowledge-oriented Management“); Wiesbaden 2011 PwC (2014) (ed.): Industrie 4.0 – Chancen und Herausforderungen der vierten industriellen Revolution („Opportunities and challenges of the fourth industrial revolution“), 2014 Schaffner, M. (2012): Wer soll’s machen?– Wissensmanagement als Kernkompetenz der Technischen Kommunikation („Who should do it? – Knowledge Management as a core competemce of technical communication“), Wissensmanagement Tage, Stuttgart, 20.11.2012 Schaffner, M. (2013): Wirtschaftlichkeit Technischer Kommunikation erhöhen – Budgets realistisch planen („Profita-bility of technical communication – realistic budget planning“); in: technische kommunikation, 05/2012, S. 25-30 Schaffner, M. (2014): Krisen kündigen sich an – mit Wissensmanagement Unternehmenskrisen vermeiden („Crises announce themselves - Avoid business crisis by using knowledge management“), FOM-Symposium, Berlin, 14.10.2014 Schaffner, M. (2016a): Industrie 4.0 – Neue Wissensflüsse in der Technischen Kommunikation? („Industry 4.0 – new knowledge flow in technical communication“); tekom spring conference, Berlin, 14.-15.04.2016 Schaffner, M. (2016b): tekom iiRDS in der Anwendung („tekom iiRDS in practice“), tekom yearly conference, Stuttgart, 08.-10.11.2016 tekom (2016): iiRDS – intelligent information Request & Delivery; www.tekom.de/technische-kommunikation/iirds.html References of Presentation
  24. 24. 24Prof. Dr.-Ing. Michael Schaffner | Flexibility Infonomics in the Industrial Production …21.02.2017 非常感谢您的关注! 现在敬请提问。

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