Magnus Wiktorsson
Professor in Production logistics

Project time: 2019 – 2022
Budget: 10 000 000 kr
Funding: SIP Produktion2030
Demonstrate solutions for visibility in production logistics, for dynamic abilities and resource efficiency.
Visibility within Production Logistics is a key instrument for managing the dynamics in future industrial settings, for resource efficiency, sustainability and competitiveness. External and internal information need to be transparent to development, planning and control. LOVIS will address this challenge by exploring and demonstrating two logistics visibility applications; (1) an intrasite real-time visualisation system for material management including dynamic synchronisation, takt and resource planning, and (2) a supply visibility system for dynamic status and prediction of supply network status. The results from these two studies will be synthesised into a framework for integrated Production Logistics Visibility. The project address the Produktion2030 area of Resource Efficiency and is based on previous knowledge development within the programme. LOVIS will be run by researchers from KTH and Lund University together with Scania, AstraZeneca and Odette, exploring industrial cases and industrial standards. The team consists of senior researchers, PhD students and industrial representatives. The project will develop and demonstrate innovative solutions for Logistics Visibility and disseminate these in seminars, digital media and education. Finally is the ambition to develop a handbook or white book for a wider audience, demonstrating the possibilities and challenges of production logistics visibility, for increased dynamic capability, resource efficiency and leading to competitiveness and sustainability.
Vinnova dnr: 2019-00782
LOVIS4C – explore supply chain visibility as enabler of circularity
2022 – 2023
The project aims to improve the collection system for recycling of pre-consumer plastic waste.
2022 – 2023
DiVISI aims at investigating how sharing of digital information can improve the forest-forest industry value chain.
2020 – 2023
Dynamic SALSA - Dynamic Scheduling of Assembly and Logistics Systems using AI
2023 – 2026
To provide understanding of the direct and indirect cost and CO2 effects of packaging principles for industrial packaging in the automotive industry.
2018 – 2021