TY - GEN A1 - Colli, Michele A1 - Berger, Ulrich A1 - Bockholt, Markus A1 - Madsen, Ole A1 - Møller, Charles A1 - Vejrum Wæhrens, Brian T1 - A maturity assessment approach for conceiving context-specific roadmaps in the Industry 4.0 era T2 - Annual Reviews in Control N2 - The digital transformation of the production sector is setting the scene for a major industrial change. The need for supporting companies in this transformation is currently covered by several maturity models, generally operationalized through standardized questionnaires, which provide, as an outcome, an assessment of the current maturity stage and a set of general improvement recommendations according to it. However, to provide companies with a more tangible support, there is a need for more individual approach. In order to deal with this need, this paper proposes, following a design science research framework, a novel approach based on Problem-Based Learning for structuring the assessment procedure as a dialectic process. This approach aims at facilitating the contextualization of the assessed company and, consequently, the identification of context-specific improvement recommendations. The proposed approach, supported by a maturity model used for framing information collected during the assessment process, is tested in three industrial cases. Although these have been assessed at the same maturity stage, different improvement recommendations have been proposed according to contextual factors such as strategic goals, core processes and key performance indicators. Y1 - 2019 U6 - https://doi.org/10.1016/j.arcontrol.2019.06.001 SN - 1367-5788 SN - 1872-9088 VL - Vol. 48 SP - 165 EP - 177 ER - TY - CHAP A1 - Møller, Charles A1 - Madsen, Ole A1 - Berger, Ulrich A1 - Shou, Casper A1 - Heidemann Lassen, Astrid A1 - Vejrum Wæhrens, Brian T1 - The Smart Production Vision T2 - The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs N2 - In this chapter, the Smart Production vision is discussed. The Smart Production approach is developed and described, and Smart Production is positioned in relation to Industry 4.0. Smart Production operationalize the journey towards Industry 4.0 and beyond. First, the need for a new approach to manufacturing is discussed, and from the perspectives of Industry 4.0, the Smart Production concept is derived. Then the framework is explored and finally, the approach is outlined. The Smart Production vision is an approach to make an integrated production system smarter by continuous digitizing, automating, and organizing towards supporting the company specific missions. Y1 - 2022 SN - 978-3-031-15428-7 SP - 13 EP - 28 PB - Springer International Publishing CY - Cham ER - TY - GEN A1 - Colli, Michele A1 - Madsen, Ole A1 - Berger, Ulrich A1 - Møller, Charles A1 - Vejrum Wæhrens, Brian A1 - Bockholt, Markus T1 - Contextualizing the outcome of a maturity assessment for Industry 4.0 T2 - 16th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2018 : Bergamo, Italy, 11–13 June 2018 N2 - The transformation of the manufacturing sector towards Industry 4.0 is setting the scene for a major industrial change. Currently, the need for assisting companies in this transformation is covered by a number of maturity models that assess their digital maturity and provide indications accordingly. However, in order to provide operational recommendations to diverse companies, there is a need for making the assessment company-specific. To cope with this challenge, this paper provides an illustration of a new digital maturity assessment approach - 360 Digital Maturity Assessment - which is based on the Problem Based Learning (PBL) model. Y1 - 2018 U6 - https://doi.org/10.1016/j.ifacol.2018.08.343 SN - 1474-6670 SN - 2405-8963 VL - 51 IS - 11 SP - 1347 EP - 1352 ER - TY - GEN A1 - Schou, Casper A1 - Colli, Michele A1 - Berger, Ulrich A1 - Heidemann Lassen, Astrid A1 - Madsen, Ole A1 - Møller, Charles A1 - Vejrum Wæhrens, Brian ED - Andersen, Ann-Louise ED - Andersen, Rasmus ED - Brunoe, Thomas Ditlev ED - Stoettrup Schioenning Larsen, Maria ED - Nielsen, Kjeld ED - Napoleone, Alessia ED - Kjeldgaard, Stefan T1 - Deconstructing Industry 4.0: Defining the Smart Factory T2 - Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems : Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2021) and the 10th World Mass Customization & Personalization Conference (MCPC2021), Aalborg, Denmark, October/November 2021 N2 - The advent of the industrial digital transformation and the related technologies of the Industry 4.0 agenda has uncovered new concepts and terminology in the manufacturing domain. Clear definitions represent a solid foundation for supporting the manufacturing research community in addressing this field consistently. This paper addresses this need focusing on the “smart factory”. Starting from a review of the extant literature and integrating it with the outcome of a Delphi study, we propose a new definition of a “smart factory” and discuss its key characteristics. These are related to interconnectivity capabilities and adaptability to the surrounding environment in order to generate and appropriate value. Eventually, such characteristics are exemplified in an empirical context. The aim of this paper is to provide the research community with an updated definition of a smart factory taking both industrial and societal values into account. Furthermore, it may represent a reference for practitioners engaged in the digital transformation of their factories. Y1 - 2021 UR - https://link.springer.com/book/10.1007/978-3-030-90700-6 SN - 978-3-030-90699-3 U6 - https://doi.org/10.1007/978-3-030-90700-6_40 SP - 356 EP - 363 PB - Springer CY - Cham ER -