Jean-Baptiste Waldner

Jean-Baptiste Waldner (born 30 March 1959) is a French engineer, management consultant and author, known for his contributions in the fields of Computer-integrated manufacturing,[1] enterprise architecture,[2] · ,[3] nanoelectronics, nanocomputers[4] · [5] and swarm intelligence[6] · [7]

Jean-Baptiste Waldner
Born(1959-03-30)March 30, 1959
NationalityFrench
EducationÉcole Supérieure d'Électricité
Institut National des Sciences et Techniques Nucléaires
Occupationengineer
management consultant
author

Biography

Waldner received his engineering degree in mechanical engineering from the Université de technologie de Belfort-Montbéliard in 1983, his Dr Engineer in Electronics in 1986 from the École Supérieure d'Électricité, and his doctoral engineering degree in nuclear science and engineering in 1986 from the Institut National des Sciences et Techniques Nucléaires.

In 1986 Waldner started as consultant for the French Information Technology and Services company Bull, where he specialized in Computer Integrated Manufacturing. From 1990 to 1993 he was senior manager at Deloitte, senior partner at Computer Sciences Corporation from 1993 to 1996, Program Director for IT and Shared Services Centers at Carrefour from 1999 to 2001, and co-founded his own management consulting firm Waldner Consulting in 2004.

Work

Waldner's research interests ranges from Manufacturing Resource, Planning Computer Integrated Manufacturing and Enterprise Architecture, to Nanoelectronics and Nanocomputers.

Manufacturing Resource Planning (MRP/MRP2)
Manufacturing Resource Planning (or MRP2) - Around 1980

The Manufacturing Resource Planning concept has evolved over the past 30 years from a simple means of calculating materials requirements and components (which does not even take into account the production capacity of the company) - to integrated ERP MRP concepts and software to automated management of the entire company.[8] · .[9]

During the 1980s the increasing changes of sales forecasts, which resulted in continuous and manual adjustments of the production plan, has in led to the MRP (Material Requirement Planning) model, which was strictly limited to the supply of materials. Eventually this evolved in means for wider production resources management, MRP2 (Manufacturing Resources Planning).[8]

Waldner (1992) showed, that MRP and MRP2 are essential principles of Computer Integrated Manufacturing (CIM)[10] · [11] · .[12] In the planning process of the enterprise they are the essential link between General Planning and execution and control. Thereby MRP2 covers three phases (see image):

  • Production programme
  • Material requirements,
  • Calculation of workload

According to Oliveira (2003) the work of Waldner (1992) and others became "an important effort towards the goal of increasing the competitiveness of manufacturing companies through the introduction of automation and wider use of computers." [13]

Computer Integrated Manufacturing
Computer Integrated Manufacturing control system

According to Waldner (1992) Computer Integrated Manufacturing is used to describe the complete automation of a manufacturing plant, with all processes running under computer control and digital information tying them together.[14] There are three major challenges to development of a smoothly operating computer-integrated manufacturing system:

  • Integration of components from different suppliers: When different machines, such as CNC, conveyors and robots, are using different communications protocols (In the case of AGVs, even differing lengths of time for charging the batteries) may cause problems.
  • Data integrity: The higher the degree of automation, the more critical is the integrity of the data used to control the machines. While the computer integrated manufacturing system saves on labor of operating the machines, it requires extra human labor in ensuring that there are proper safeguards for the data signals that are used to control the machines.
  • Process control: Computers may be used to assist the human operators of the manufacturing facility, but there must always be a competent engineer on hand to handle circumstances which could not be foreseen by the designers of the control software.

Machado et al. (2000) explained that "control, monitoring and supervision of industrial processes are increasingly demanding a great investment in technological solutions each time more embedded and with real-time capabilities, especially devoted to the interconnect, in an intelligent way, of shop-floor equipment with operational information systems."[15] This gave rise to a new type of so-called Control-based Information System, in which information in factory plants flow between the shopfloor and the upper Computer Integrated Manufacturing systems as Waldner (1992) stated[16] · [17] · [18] · .[19]

Nanocomputers and swarm intelligence
Evolution of the computer between the 1960s and 2010. This evolution is organized around five functional blocks: the processor, memory and mass storage devices, networks and telecommunications, power supply devices and the interfaces between the machine and the user or the machine and the environment

The author forecasts a fundamental technological disruption in the computer world in the years 2020-25 by considering the physical limit of the miniaturization of the components to the silicon and the fatality of the Moore's law.[20] This phenomenon, combined with the demand for mobility, will transform the landscape of conventional computing bringing about the breakthrough that will enable a vast and heterogeneous network of objects that impose a new vision of the software (i.e. distributed intelligence with lighter/simpler software code at the unit level but introducing much more numerous agents). Computing system will evolve from a centralized or distributed model to swarm intelligence, self-organized systems in which nodes will count in billions[21] · .[22] The author notes that a human being interacts with 1000 to 5000 objects in a typical day[23] · [24] At maturity, connected devices and Internet of things market could range from a few tens of billions to several trillion units.[25] In 2007, as an early pioneer, Waldner strongly believed that the Internet of Things was poised to deeply transform the supply chain and the logistics industry[26] · [27] · .[28]

Waldner has a predominant interest in human–computer interaction (HCI) and considers that the evolution of computing machines and of the solutions they bring will rely fundamentally on the progress of these interfaces.[29]

Publications

Waldner has authored several books and articles.[30][31] Books:

  • CIM, les nouvelles perspectives de la production, Dunod-Bordas, 1990 ISBN 978-2-04-019820-6[32] · [33]
  • CIM: Principles of Computer-Integrated Manufacturing, John Wiley & Sons, 1992 ISBN 0-471-93450-X[34] · .[35]
  • Nano-informatique – Inventer l’ordinateur du XXIème Siècle, Hermès Science, London, 2007 ISBN 978-2-7462-1516-0[36]
  • Nanocomputers & Swarm Intelligence, ISTE, London, 2007 ISBN 978-1-84821-009-7[37] · [31]

References
  1. Ian David Lockhart Bogle, Michael Fairweather (2012) 22nd European Symposium on Computer Aided Process Engineering. p. 427
  2. Jérôme Capirossi (2011) Architecture d'entreprise. p. 278
  3. Ricardo J. Machado, João M. Fernandes, Henrique D. Santos, Sistemas de informação industriais orientados ao controlo: perspectivas metodológicas para tecnologias reconfiguráveis, Dept. Sistemas de Informação, Univ. do MinhoCampus de Azurém, Guimarães, (2001), Referências
  4. Journal of Applied Non-classical Logics (2007). Vol 17. p. 120
  5. James Michael Whitacre, Vrije Universiteit Brussel, Frontiers on Genetics Biological robustness: paradigms, mechanisms, and systems principles, (2012), References
  6. INRIA, Intelligence ambiante : évolution ou révolution ?, Bibliographie, (30 juin 2011), p.2
  7. Chaudiron, S. Information ubiquitaire et dispositifs d’accès à l’information, (2010), p.7,p27
  8. "CIM: Principles of Computer Integrated Manufacturing," Jean-Baptiste Waldner, John Wiley & Sons, 1992
  9. Sanjay Mohapatra, Business Process Automation, p. 372 (2009)
  10. P. Sivakumar, K. Ganesh, Mohapatra Sanjay, S. P. Anbuudayasankar Enterprise Resource Planning: Fundamentals of Design and Implementation, Springer International Publishing, (2014), ISBN 978-3-319-05926-6, p. 35
  11. Janusz Sobecki, Veera Boonjing, Suphamit Chittayasothorn, Advanced Approaches to Intelligent Information and Database Systems, Springer, 2014, p. 33
  12. Dr Vijay Kumar Jain, Mechanical Engineering, Information Technology issues & challenges, p. 248, Ref.1
  13. Oliveira, José António Barata de. "Coalition based approach for shop floor agility–a multiagent approach." (2003). p. 2.11
  14. Waldner, Jean-Baptiste (September 1992). CIM: Principles of Computer-Integrated Manufacturing. London: John Wiley & Sons. pp. 128–132. ISBN 978-0-471-93450-9.
  15. Machado, Ricardo J., João M. Fernandes, and Henrique D. Santos. "An object-oriented approach to the co-design of industrial control-based information systems Archived 2014-06-06 at the Wayback Machine." 4th APCA Portuguese Conference on Automatic Control (CONTROLO 2000). 2000.
  16. D.F.H. Rushton, Going to the heart of CIM, Volume 72, Issue 3, (June 1993), page 107, "the author follows the established wisdom of simplification, integration and (possible) application of the appropriate CIM technology"
  17. Kin-Huat Low, Industrial Robotics: Programming, Simulation and Applications, Pro Literatur Verlag, Germany, (2007), ISBN 3-86611-286-6, p. 340
  18. J. Norberto Pires, Industrial Robots Programming: Building Applications for the Factories of the Future, Springer, (2007), ref [33], p. 106
  19. Achim Rettberg, Mauro C. Zanella, Franz J. Rammig, From Specification to Embedded Systems Application, IFIP TC10 Working Conference: International Embedded Systems Symposium (IESS), August 15-17, (2005), Manaus, Brazil, ref [3], p. 178
  20. Gabor L. Hornyak,H.F. Tibbals,Joydeep, Introduction to Nanoscience and Nanotechnology , page 1402, ref 357
  21. Matthieu Faure, Université Montpellier II Management of Scenarized User-centric Service Compositions for Collaborative Pervasive Environments, (2012), p. 16, fig. 1.1, p. 183
  22. Willy Allègre, Université de Bretagne Sud, Flot de conception dirigé par les modèles pour la commande et la supervision de systèmes domotiques d'assistance, (2012), p. 22, fig. 1.5, p. 167
  23. Julio Perotti, La Voz Argentina, Internet de Todo, un cambio profundo en nuestra vida cotidiana. Objetos que dejan de ser inanimados , 14/12/2014
  24. Pablo Mancini, En Internet hay más objetos que personas, , 21/07/2013 (Todo ser humano, durante un día normal, está rodeado por una media de entre 1.000 y 5.000 objetos, contando todo: desde el tenedor que usa para comer, el sillón donde descansa, etc., tal como lo explica Jean Baptiste Waldner en Nano-informatique et intelligence ambiante)
  25. Oleg Demidov, From Right to Access to Network Intelligence, , Russian International Affairs Council, 12/04/2013, (ref#1: The Internet of Things boasts a market that is thought to cover dozens of billions or dozens of trillions of devices)
  26. Ruslan Kirichek, Andrey Koucheryavy, Internet of Things Laboratory Test Bed, Saint-Petersburg State University of Telecommunications, Springer, (2015), p. 212, ref.2
  27. Chris Speed, An internet of things that do not exist, Magazine interactions, Volume 18 Issue 3, June 2011, ref.3
  28. Yicong Tian, Rui Hou, Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., An Improved AOMDV Routing Protocol for Internet of Things, décembre 2010, pp. 227-231, ref[7]We should refer to routing methods from other existing network to design an algorithm which can use in IOT.
  29. D Sanders, Assembly Automation, Introducing AI into MEMS can lead us to brain-computer interfaces and super-human intelligence, University of Portsmouth, (2009), p. 205, ref.58
  30. Jean-Baptiste Waldner on Google Scholar.
  31. Jean-Baptiste Waldner at DBLP Bibliography Server
  32. DM Upton, Journal of Operations Management, Flexibility as process mobility: the management of plant capabilities for quick response manufacturing, (1995), Elsevier, Volume 12, Issues 3–4, June 1995, Pages 205-224
  33. G Javel - 2010 Organisation et gestion de la production-4e édition: Cours, exercices et études de cas, (2010), p. 440
  34. David M. Upton, Harvard Business School, Computer integration and catastrophic process failure in flexible production Archived 2004-08-19 at the Wayback Machine, (1994), 9.References and Bibliography
  35. David M. Upton, Flexibility as process mobility: The management of plant capabilities for quick response manufacturing, Volume 12, Issues 3–4, June 1995, Pages 205-224
  36. Jean-Pierre Quentin, Méfions nous de l’intelligence ambiante !, (mai 2007), contours de l'intelligence ambiante - schéma
  37. Journal of Applied Non-classical Logics, (2007), Vol 17, p. 120
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