Juhani Heilala | VTT Techn. Res. centre of Finland (original) (raw)
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Papers by Juhani Heilala
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016, Dec 19, 2018
Manufacturing creates a lot of data, and this is increasing due to digitalization of manufacturin... more Manufacturing creates a lot of data, and this is increasing due to digitalization of manufacturing, industrial Internet of Things (IIoT) and needs for product traceability as well as predictive maintenance. Typically data from production material flow is not analyzed and thus the improvement potential is not found. There is need for interactive analytics tools that can turn raw data from heterogeneous data sources e.g. starting from sensor data, manufacturing IT systems, (e.g. Enterprise Resource Planning, ERP, Manufacturing Execution System, MES and Supervisory Control And Data Acquisition, SCADA), into meaningful information and predictions-and presented on easy-to-use interfaces. This paper presents a feasibility study focusing on interactive visual analytics of manufacturing data set carried out at
21st European Conference on Operational Research, EURO XXI, 2006
3rd International Congress of the Federation of European Simulation Societes, EUROSIM '98, 1998
Automaatiopäivät 2001, 2001
Assembly Automation, 2007
International Symposium on Robotics, 1999
This paper proposes an initial process model for designing and implementing a sustainability perf... more This paper proposes an initial process model for designing and implementing a sustainability performance measurement and management system for manufacturing companies. The process model follows the DMAIC (Define, Measure, Analyse, Improve, Control) approach that is widely used in performance improvement projects. The phases of the process cover selecting and implementing relevant sustainability key performance indicators (KPIs) and linking measurement to sustainability performance improvement, management and control. This paper presents the initial process model and the associated tools and guidelines that assist companies in developing and implementing a sustainability performance measurement, improvement and management system. The use of the process model is demonstrated by a virtual case study, which provides an example of sustainability performance measurement and management system for a shop floor level.
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016, Dec 19, 2018
Manufacturing creates a lot of data, and this is increasing due to digitalization of manufacturin... more Manufacturing creates a lot of data, and this is increasing due to digitalization of manufacturing, industrial Internet of Things (IIoT) and needs for product traceability as well as predictive maintenance. Typically data from production material flow is not analyzed and thus the improvement potential is not found. There is need for interactive analytics tools that can turn raw data from heterogeneous data sources e.g. starting from sensor data, manufacturing IT systems, (e.g. Enterprise Resource Planning, ERP, Manufacturing Execution System, MES and Supervisory Control And Data Acquisition, SCADA), into meaningful information and predictions-and presented on easy-to-use interfaces. This paper presents a feasibility study focusing on interactive visual analytics of manufacturing data set carried out at
21st European Conference on Operational Research, EURO XXI, 2006
3rd International Congress of the Federation of European Simulation Societes, EUROSIM '98, 1998
Automaatiopäivät 2001, 2001
Assembly Automation, 2007
International Symposium on Robotics, 1999
This paper proposes an initial process model for designing and implementing a sustainability perf... more This paper proposes an initial process model for designing and implementing a sustainability performance measurement and management system for manufacturing companies. The process model follows the DMAIC (Define, Measure, Analyse, Improve, Control) approach that is widely used in performance improvement projects. The phases of the process cover selecting and implementing relevant sustainability key performance indicators (KPIs) and linking measurement to sustainability performance improvement, management and control. This paper presents the initial process model and the associated tools and guidelines that assist companies in developing and implementing a sustainability performance measurement, improvement and management system. The use of the process model is demonstrated by a virtual case study, which provides an example of sustainability performance measurement and management system for a shop floor level.