Implementing data based decision making in logistics processes: Case study at Svenska Mässan
Today utilizing data is crucial for businesses and the logistics sector is no exception. By analyzing and utilizing data, organizations can make better and highly informed decisions. Being able to implement a fluent data collection, analysis and decision-making process, an organization can yield significant competitive advantages. The purpose of this research is to analyze the current traffic data collection system implemented at the case company, Svenska Mässan, to evaluate if it is suitable for decision making in relation to exhibition logistics. Further, the purpose is to find development ideas for the system in order for Svenska Mässan to become more data-driven. The method used for this research is a qualitative case study utilizing primary data collected through interviews and secondary data mostly from a data set that is carefully analyzed. This research concludes that the current data collection system should not be utilized for exhibition logistics. The researchers believe that in order for a system to be used, the case company should implement a tracking id that would help them track each vehicle entering and exiting their premises as well as help them to distinguish between different vehicles. Further, it is suggested that the case company should invest in a consolidation center that is solely managed by them, where all cargo would first be handled. This would improve their operations and minimize the current bottlenecks part of their exhibition logistics processes.
MSc in Logistics and Transport Management