Suchergebnisse - "Bokrantz, Jon"

Dealing with resistance to the use of Industry 4.0 technologies in production disturbance management

Autoren: Ito, Adriana Ylipää, Torbjörn Gullander, Per et al.

Quelle: Journal of Manufacturing Technology Management. 32(9):285-303

Schlagwörter: Resistance, Production disturbances, Managerial approaches

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/525549
https://research.chalmers.se/publication/525549/file/525549_Fulltext.pdf

Enhancing Digital Twins with Deep Reinforcement Learning : A Use Case in Maintenance Prioritization

Autoren: Chen, Siyuan Lopes, Paulo Victor Marti, Silvan et al.

Index Begriffe: Condition based maintenance, Contrastive Learning, Corrective maintenance, Predictive maintenance, Reinforcement learning, Scheduled maintenance, Smart manufacturing, Dynamics analysis, Dynamics simulation, Historical production, Intelligence layers, Maintenance decisions, Maintenance prioritization, Production data, Real-time production, Reinforcement learnings, Simulation and analysis, Deep reinforcement learning, Robotics and automation, Robotik och automation, Reliability and Maintenance, Tillförlitlighets- och kvalitetsteknik, Production Engineering, Human Work Science and Ergonomics, Produktionsteknik, arbetsvetenskap och ergonomi, Conference paper, info:eu-repo/semantics/conferenceObject, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-24919
Proceedings of the Winter Simulation Conference, 0891-7736
Proceedings of the 2024 Winter Simulation Conference, p. 1611-1622

Unravelling supply chain complexity in maintenance operations of battery production.

Autoren: Bokrantz, Jon Shurrab, Hafez Johansson, Björn et al.

Quelle: Production Planning & Control; Oct2025, Vol. 36 Issue 13, p1752-1773, 22p

Schlagwörter: SCHOLARLY method, SUPPLY chains, MANUFACTURING industries, ORIGINAL equipment manufacturers, ACQUISITION of data

Smart Maintenance: an empirically grounded conceptualization

Autoren: Bokrantz, Jon Skoogh, Anders Berlin, Cecilia et al.

Quelle: International Journal of Production Economics. 223

Schlagwörter: Industrial organization, Digitalization, Smart Manufacturing, Industry 4.0, Manufacturing, Maintenance

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/513599
https://research.chalmers.se/publication/516704
https://research.chalmers.se/publication/516704/file/516704_Fulltext.pdf

Improved root cause analysis supporting resilient production systems

Autoren: Ito, Adriana Hane Hagström, Malin Bokrantz, Jon et al.

Quelle: Digitala Stambanan Produktion KIDSAM: Kunskap- och informationssdelning i digitala samverkansprojekt Journal of Manufacturing Systems. 64:468-478

Schlagwörter: Resilience, Root cause analysis, Production systems, Production disturbances

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/531731
https://research.chalmers.se/publication/531667
https://research.chalmers.se/publication/531731/file/531731_Fulltext.pdf

Prioritisation of root cause analysis in production disturbance management.

Autoren: Soares Ito, Adriana Ylipää, Torbjörn Gullander, Per et al.

Quelle: International Journal of Quality & Reliability Management; 2022, Vol. 39 Issue 5, p1133-1150, 18p

Real-time shop floor operations improvement based on dynamic value stream mapping and hybrid simulation in Industry 4.0: an economic perspective.

Autoren: Liu, Mingzhou Sun, Mengyuan Zhang, Xi et al.

Quelle: International Journal of Production Research; Sep2025, Vol. 63 Issue 18, p6776-6800, 25p

Schlagwörter: VALUE stream mapping, INDUSTRY 4.0, WASTE minimization, REAL-time computing, PROCESS optimization, FLEXIBLE manufacturing systems, ECONOMIC impact analysis, HYBRID computer simulation

Smart maintenance: instrument development, content validation and an empirical pilot.

Autoren: Bokrantz, Jon Skoogh, Anders Berlin, Cecilia et al.

Quelle: International Journal of Operations & Production Management; 2020, Vol. 40 Issue 4, p481-506, 26p

Schlagwörter: PLANT maintenance, MAINTENANCE, FACTORIES, TEST validity, FACTOR structure

Realising the promises of artificial intelligence in manufacturing by enhancing CRISP-DM.

Autoren: Bokrantz, Jon Subramaniyan, Mukund Skoogh, Anders

Quelle: Production Planning & Control; Dec2024, Vol. 35 Issue 16, p2234-2254, 21p

Schlagwörter: ARTIFICIAL intelligence, MACHINE learning, OPERATING costs, DATA science, ENGINEERING

Challenges and opportunities to advance manufacturing research for sustainable battery life cycles.

Autoren: Johansson, Björn Despeisse, Mélanie Bokrantz, Jon et al.

Quelle: Frontiers in Manufacturing Technology; 2024, p1-19, 19p

Schlagwörter: SUSTAINABILITY, SUSTAINABLE engineering, CARBON emissions, LITHIUM-ion batteries, SUSTAINABLE development, VALUE chains

Involving students in engineering course design: a combined approach based on constructive alignment and multi-criteria decision-making.

Autoren: Turanoglu Bekar, Ebru Skoogh, Anders Bokrantz, Jon

Quelle: European Journal of Engineering Education; Aug2024, Vol. 49 Issue 4, p647-666, 20p

Schlagwörter: ENGINEERING, DECISION making, CUSTOMER cocreation, STUDENT engagement, STUDENT attitudes

Identification of maintenance improvement potential using OEE assessment.

Autoren: Ylipää, Torbjörn Skoogh, Anders Bokrantz, Jon et al.

Quelle: International Journal of Productivity & Performance Management; 2017, Vol. 66 Issue 1, p126-143, 18p

Schlagwörter: EQUIPMENT maintenance & repair, MANUFACTURING industries, MONTE Carlo method, INDUSTRIAL productivity

Scopus scientific mapping production in industry 4.0 (2011–2018): a bibliometric analysis.

Autoren: Kipper, Liane Mahlmann Furstenau, Leonardo Bertolin Hoppe, Daniel et al.

Quelle: International Journal of Production Research; Mar2020, Vol. 58 Issue 6, p1605-1627, 23p, 8 Diagrams, 1 Chart, 4 Graphs

Schlagwörter: INDUSTRY 4.0, CYBER physical systems, LEAN management, CARTOGRAPHY software, INTERNET of things

Big data analytics in manufacturing: a bibliometric analysis of research in the field of business management.

Autoren: Sahoo, Saumyaranjan

Quelle: International Journal of Production Research; Nov2022, Vol. 60 Issue 22, p6793-6821, 29p, 6 Diagrams, 8 Charts, 1 Graph, 1 Map

Schlagwörter: BIBLIOMETRICS, BIG data, INDUSTRIAL management, DIGITAL transformation

Building and testing necessity theories in supply chain management.

Autoren: Bokrantz, Jon Dul, Jan

Quelle: Journal of Supply Chain Management; Jan2023, Vol. 59 Issue 1, p48-65, 18p

Schlagwörter: SUPPLY chain management, MANAGEMENT philosophy, TESTING laboratories

Predictive Maintenance for Chiller Equipment Sustainability: A Bibliometric Approach.

Autoren: M. R., Subramaniam M., Saisree

Quelle: International Journal of Environmental Sciences (2229-7359); 2025 Special Issue, Vol. 11, p761-775, 15p

Schlagwörter: SUSTAINABILITY, OPERATIONS management, CONDITION-based maintenance, ENERGY management, BIBLIOMETRICS, TECHNOLOGICAL innovations, INTERNET of things, TEMPERATURE control equipment

Development of digitalised maintenance – a concept.

Autoren: Algabroun, Hatem Bokrantz, Jon Al-Najjar, Basim et al.

Quelle: Journal of Quality in Maintenance Engineering; 2022, Vol. 28 Issue 2, p367-390, 24p

Schlagwörter: DIGITAL technology, MAINTENANCE, PLANT maintenance, DECISION support systems, SYSTEM dynamics

Predictive maintenance for industry 5.0: behavioural inquiries from a work system perspective.

Autoren: van Oudenhoven, Bas Van de Calseyde, Philippe Basten, Rob et al.

Quelle: International Journal of Production Research; Nov2023, Vol. 61 Issue 22, p7846-7865, 20p, 1 Illustration, 1 Diagram, 2 Charts

Schlagwörter: PRODUCT management software, DECISION support systems, TRUST

Performance indicators for measuring the effects of Smart Maintenance.

Autoren: Lundgren, Camilla Bokrantz, Jon Skoogh, Anders

Quelle: International Journal of Productivity & Performance Management; 2021, Vol. 70 Issue 6, p1291-1316, 26p

Schlagwörter: KEY performance indicators (Management), PLANT maintenance, FACTORIES, DIGITAL technology, EXPECTATION (Psychology)

Factors influencing maintenance-related investments in industry: a multiple-case study.

Autoren: Lundgren, Camilla Bokrantz, Jon Skoogh, Anders

Quelle: Journal of Quality in Maintenance Engineering; 2021, Vol. 27 Issue 1, p203-224, 22p

Schlagwörter: SUSTAINABILITY, MANUFACTURING industries