Per Gullander

Background

About Per Gullander

Researcher and project leader. Research and development aimed at high level of efficiency, sustainability, flexibility both in the development and the operation phases of manufacturing systems. The goal is to support decisions with better information, making industrial work procedures and methods more data and model driven. Selected list of research projects and committments- DFusion - Production Disturbance Data Fusion (2021-Oct 2024, funded by Vinnova Advanced Digitalization programme)- Cyber-Secure Digitalization of Manufacturing Systems (RISE internal project 2021- Dec 2023)- Coordinator of the Cluster for Digital Manufacturing, one of the clusters of Swedish Manufacturing R&D Clusters - Digitalization in Production Knowledge Platform at RISE - DIP Digital twin for modelling, development and installation of production systems supported by in 3D scanning (funded by FFI, 2018-dec 2021)- Smart and Secure Industrial Digitalization: RISE internal project considering IT security in digital manufacturing- Forum for Industrial Digitalization: Buliding an industrial forum/network to support industry with knowledge and utilisation of standards (Vinnova funded)- ASPIRE Automation of information flows to detect, communication and handle deviations in production more efficiently (Produkttion2030, 2018-oct 2020)- D3H Data driven disturbance handling. Digitalization of the disturbance data handling and analyzes to reduce disturbance in production.(Produktion2030, apr 2018-dec 2020)- Use of AI for added value in SME production. Deepening our knowledge on AI, Machine learning, industrial IoT. Developing a methodology to support SME in their understanding and proper uses of AI and IIoT RISE. Previous research have considered many aspects of production development - data driven work and decisions in production - methods to analyze and improve information supply, communication, and knowledge management - use of production flow simulation and value stream mapping - choice of proper levels of automation for efficiendy vs flexibility- knowledge utilization and competence in production- competence assurance in industry - level of complexity in production- production development methodology- work procedures for product introduction- consideration of differences in national cultures - implementation of lean production- operators' situation and health monitoring - production work organization for flexibility and efficiency