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Title of Journal: J Intell Manuf

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Abbravation: Journal of Intelligent Manufacturing

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Springer US

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DOI

10.1016/j.apsoil.2008.03.011

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ISSN

1572-8145

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A roadmap for implementing new manufacturing techn

Authors: JaeMin Cha SukHwan Suh JeanYves Hascoet Ian Stroud
Publish Date: 2014/06/04
Volume: 27, Issue: 5, Pages: 959-973
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Abstract

Manufacturing is changing New ideas of control the maturity of CAM techniques and computer technology have enabled the definition of an advanced machine tool control standard STEPNC STEPNC is one part of a larger manufacturing picture with links to different manufacturing applications using the STEP suite of standards STEPNC is the key to a door behind which there is a rich field of research on manufacturing techniques and opportunities for lean intelligent and flexible manufacturing The problem is to pass through that door Many potential users are waiting for a lead from control developers Control developers are waiting for market interest Existing legacy machinery and investment in traditional machining add inertia Instead of having a clear development path manufacturing has become something of a Gordian knot waiting to be disentangled New research projects are addressing these issues as well but this paper takes a different route in showing how strategic planning can lead to adoption of the new techniques in a phased way a socalled ‘Roadmap’ The contribution of this paper is the manner in which the overall task of implementation has been subdivided into tasks and phases to achieve the introduction of the new technologyThe authors would like to acknowledge the help of collaborators at POSTECH Ecole Centrale de Nantes and the Ecole Polytechnique Fédérale de Lausanne for help This research was supported by the Korea Institute for Advancement of Technology KIAT grant funded by the Korea Government Ministry of Trade Industry and Energy MOTIE No H2001131001 and partly supported by the International Research Development Program funded by the Ministry of Science ICT and Future Planning of Korea Grant number 2013063385


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  4. On-line fault diagnosis of FMS based on flows analysis
  5. Predictive control architecture for real-time image moments based servoing of robot manipulators
  6. An intelligent simulation model of online consumer behavior
  7. A hybrid approach using genetic and fruit fly optimization algorithms for QoS-aware cloud service composition
  8. Condition based maintenance optimization considering multiple objectives
  9. On the robustness of joint production and maintenance scheduling in presence of uncertainties
  10. Extending the notion of quality from physical metrology to information and sustainability
  11. A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning
  12. Modelling and simulation of operation and maintenance strategy for offshore wind farms based on multi-agent system
  13. Mapping knowledge sharing traits to business strategy in knowledge based organisation
  14. Data mining in manufacturing: a review based on the kind of knowledge
  15. Intelligent assembly system for mechanical products and key technology based on internet of things
  16. Finite element modeling of low speed reaming vibrations with reamer geometry modifications
  17. A digital equipment identifier system
  18. On line prediction of surface defects in hot bar rolling based on Bayesian hierarchical modeling
  19. Manufacturing intelligence and innovation for digital manufacturing and operational excellence
  20. Integrating lean and other strategies for mass customization manufacturing: a case study
  21. A comparison of machine learning methods for cutting parameters prediction in high speed turning process
  22. Mining manufacturing databases to discover the effect of operation sequence on the product quality
  23. Analysis of effectiveness and benefits of collaboration modes with information- and knowledge-sharing
  24. A federated approach to develop enterprise interoperability
  25. A multi-objective scheduling algorithm with self-evolutionary feature for job-shop-like knowledgeable manufacturing cell
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