Every manufacturing company measure and control production performance with a system of KPIs. The aim of the SMART-PM project is to investigate and demonstrate new ways of collecting data, transforming data to information and introducing new decision tools based on valid information and economic models of the production systems. The project will be focused on four research problems; two input data problems without satisfactory present solutions and where the goal is to utilize and integrate existing and emerging technologies into new system solutions, and two more overarching challenges concerning integration and organisational readiness: (WP1) the collection of valid operation times for manual assembly and materials handling, (WP2) automated cutting tool condition monitoring for optimal equipment utilization, (WP3) the integration of information into decision support models based on production performance and cost and (WP4) prepare the organization for the digital shift towards more automated and real-time performance management. In the SMART PM project, we aim to increase resource efficiency for both machines and people by increasing automation and digitization in the company’s KPI system. The goal is to increase cost and resource efficiency in production by smarter utilization of existing resources, and for the use of measurement systems by automation of parts of the systems.
Programansvarig at Chalmers, Technology Management and Economics, Supply and Operations Management
Associate Professor at Chalmers, Technology Management and Economics, Supply and Operations Management
Researcher at Chalmers, Technology Management and Economics, Supply and Operations Management
Doctoral Student at Chalmers, Technology Management and Economics, Supply and Operations Management
Funding Chalmers participation during 2018–2020
Areas of Advance