Centre for Logistical Optimisation (CfLO)
The Centre for Logistical Optimisation (CfLO) seeks to offer an inspiring (academic) environment focused on conducting high-quality research, sharing knowledge and stimulating innovation within the logistics sector.
The logistics sector is of great importance to the Dutch economy. In the province of Limburg, approximately 12% of the working population works in the logistics sector. Due to the favourable geographical location, good quality of the infrastructure and the expertise of logistics companies, the logistics sector in the province of Limburg ranks among the top of Europe.
The ambition of the CfLO will be realised by a team of researchers in collaboration with the logistics sector, gathered at the SMART Logistics Centre Venlo. SMART Logistics Centre Venlo is a unique concept in which logistic service providers and other companies work together with the government as well as educational and research institutions.
Tjark Vredeveld | Associate Professor
+31 (0)43 388 3108
Supply Chain Collaboration
In the last decades, companies are realising more and more that they need to look beyond the borders of their own company to create new opportunities. Through good cooperation in the supply chain, the needs of customers can be better served at lower costs or higher revenues. As part of this research, CfLO will also address the question of how the extra gains need to be divided over the participating parties.
The complexity of supply chains has strongly increased due to globalisation. Companies produce their intermediate products no longer in factories nearby, but the production of these intermediates is scattered across the world. To deal with this complexity, companies began looking for ways to centralise their logistics activities within certain regions. To meet this need control towers arise to provide insight into the flow of goods, but also to take over some planning aspects.
Smart use of real time data may lead to a more efficient use of resources needed for the transport of goods from origin to destination. This can both reduce the lead time and ensure that the right modality is chosen, making the transport more sustainable. By combining data from various parties, we can make a better estimation of when goods will arrive.