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@PHDTHESIS{Guerreiro:841199,
      author       = {Guerreiro, Bruno Vallarelli},
      othercontributors = {Schmitt, Robert H. and Prefi, Thomas},
      title        = {{S}mart retrofitting as a structured approach for an
                      organization to implement industry 4.0 using its existing
                      resources},
      volume       = {3/2022},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {Apprimus Verlag},
      reportid     = {RWTH-2022-01548},
      isbn         = {978-3-98555-041-8},
      series       = {Ergebnisse aus der Produktionstechnik},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2022},
      note         = {Englische und deutsche Zusammenfassung. - Weitere Reihe:
                      Fertigungsmesstechnik $\&$ Qualitätsmanagement. - Weitere
                      Reihe: Edition Wissenschaft Apprimus. - Druckausgabe: 2022.
                      - Auch veröffentlicht auf dem Publikationsserver der RWTH
                      Aachen University; Dissertation, RWTH Aachen University,
                      2021},
      abstract     = {The work described in this thesis focuses on the
                      development of a structured approach to empower
                      organizations to individually implement Industry 4.0 based
                      on their corporate culture, challenges and needs using the
                      existing human and material resources within the
                      organization. Thereby, the Smart Retrofitting approach has
                      been conceived which supports the hypothesis that the
                      retrofitting of existing equipment is the most practical and
                      suitable solution for any size of organization to engage in
                      the implementation of Industry 4.0. The Smart part of the
                      Smart Retrofitting focus on spreading the Industry 4.0
                      throughout an organization independent of its size through a
                      continuous implementation process and a Top-down Bottom-up
                      strategy. Implementing aspects of Industry 4.0 in their
                      existing production equipments fulfilling the
                      organization’s established targets and demands for
                      Industry 4.0 is the main target of the Retrofitting part of
                      the Smart Retrofitting approach. A change management model
                      was developed based on the Smart Retrofitting Approach
                      aiming to fulfill its values and purposes. The Smart
                      Retrofitting Change Management model pursues the involvement
                      of all employees within an organization. Therefore, it is
                      composed of a Top-down Bottom-up management approach in
                      which the organization’s own created vision and the
                      direction to be followed is given by the highest
                      hierarchical employees. The Industry 4.0 vision is based on
                      current and upcoming challenges and needs that the
                      organization faces. In order to implement the created
                      vision, the Smart Retrofitting Change Management Model
                      promotes a roadmap ―Smart Retrofitting Roadmap-- assembled
                      in a Top-down Bottom-up strategy. In this model, the middle
                      and lower hierarchical employees will design and execute
                      short-, medium- and long-term projects for the
                      implementation of Industry 4.0 within their daily business
                      activities following the Industry 4.0 vision of their
                      organization. The Smart Retrofitting Change Management Model
                      has five phases: Unfreezing, Moving, Unfreezing 2.0,
                      Refreezing and Smart Retrofitting Actions. In addition, the
                      Smart Retrofitting Change Management Model suggests that the
                      organization creates a Smart Retrofitting Agent Network
                      which shall empower the employees from all different
                      hierarchical levels of the organization to exchange
                      knowledge and support each other in their activities
                      concerning the implementation process of Industry 4.0.
                      Consequently, such engagement of the employees will generate
                      a motivational effect between them and will mini-mize
                      possible internal resistances during the implementation
                      process of Industry 4.0 within the organization.The
                      validation of the Smart Retrofitting approach occurrs
                      gradually by applying it at a single production equipment up
                      to a global acting organization. Therefore, the first case
                      study targeted the execution of the Smart Retrofitting
                      Approach on an over forty-year-old devel-oped equipment
                      which is exclusively used by the metallurgical industry
                      sector to purify Aluminium. The second case study was
                      accomplished at thyssenkrupp Brazil Ltda. –Division Rothe
                      Erde– and consisted in the implementation of Industry 4.0
                      in their large slewing bearing production line dedicated to
                      the wind energy industry sector. Finally, the third case
                      study was accomplished on a global scale at Henkel AG $\&$
                      Company, KGaA at their Adhesives Technologies business
                      unit.},
      cin          = {417510 / 417200},
      ddc          = {620},
      cid          = {$I:(DE-82)417510_20140620$ / $I:(DE-82)417200_20140620$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      doi          = {10.18154/RWTH-2022-01548},
      url          = {https://publications.rwth-aachen.de/record/841199},
}