Kunskapsförmedlingen Dynamic SALSA – Dynamic Scheduling of Assembly and Logistics Systems using AI
Dynamic SALSA - Dynamic Scheduling of Assembly and Logistics Systems using AI
2023 – 2026
Professor in Production logistics
E-mail: magwik@kth.se
Affiliation: Royal Institute of Technology
Academy: Production Academy
Design, modelling and performance prediction of production logistics.
Magnus Wiktorsson is a Professor within Production logistics at KTH, Royal Institute of Technology, in Södertälje, Sweden. He is also head of department for the department of Production Engineering (IPU) at KTH in Stockholm and Södertälje. His research interest concerns operations management and production logistics. Connected technologies and digital tools as enablers for analysis and development of sustainable production, are common themes in his research.
He has a background as senior lecturer, associate professor and professor at Mälardalen university during 2008 – 2017. After his PhD in 2000 he worked as a management consultant at IBM and smaller partner-based consulting companies, focusing on operations management. He also worked as a Program Manager at VINNOVA, the Swedish governmental agency for innovation systems, funding research projects within product realisation. He graduated from the Royal Institute of Technology in Stockholm with an MSc in Systems Engineering (1995) and a PhD in Manufacturing Engineering (2000).
With an academic background in applied mathematics and systems engineering, and an industrial background in operations management, Magnus analyse production logistic systems with respect to efficiency, sustainability and performance.
Dynamic SALSA - Dynamic Scheduling of Assembly and Logistics Systems using AI
2023 – 2026
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2011 – 2013
2010 – 2011
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.
2018 – 2020
2017 – 2020
The project focuses on how to reduce waste/cost caused by environmental aspects and adding value to the production system by green strategies and actions
2009 – 2012
2014 – 2017
2013 – 2016
Innofacture är en Företagsforskarskola som bedrivs i samverkan mellan Mälardalens högskola och tio av landets största tillverkningsföretag. Projektet fokuserar både på innovation och produktion för att utveckla produktionsprocesser i företagen.
2012 – 2021
The main idea of the project is to investigate and demonstrate how the digitalized and proven systems and technologies of the Process Industry, like CPAS, can be used in DM to improve competitiveness and drive growth
2017 – 2019
The purpose of the ProLoc project is to create a new type of decision model to assist in the production location decisions, being increasingly important in a world with high rates of change.
2010 – 2013
The overall aim is to strengthen the Swedish manufacturing companies competitiveness through increasing the production competence and develop their production capabilities
2010 – 2012
Increased sustainability and cost effectiveness through improved strategic decision-making in production issues based on new metrics system for production and development.
2015 – 2017