Railway systems face the demand for efficient, reliable, and low-cost logistic services. Nevertheless, in many countries, punctuality of rail traffic plummet at a poor level. Even though high quality is pursued, there seems to be a lack of broad understanding when it comes to the concatenation of delays. However, understanding rail traffic delay chains is important for improving the performance of rail transport quality. Our research uses a data-mining approach for analysing rail transport delay chains, with data from passenger train traffic on the Finnish rail network. This study illustrates data mining is a useful tool for identifying and mapping the delay chains. Continue reading Journal article: Data mining in rail transport delay chain analysis
Driver behavior is one of the greatest factors determining the fuel consumption and thus carbon dioxide emissions of a heavy-duty vehicle. Difference in fuel consumption can be up to 30 % depending on the driver. Education, monitoring and feedback are ways of guiding drivers towards more fuel efficient driver behavior. An incentive system related to fuel consumption is one way of giving feedback. The greatest challenge facing such incentive systems in transportation companies is fair measurement of driver’s fuel consumption. This study focused on that challenge. Continue reading Journal article: Utilization of fuel consumption data in an ecodriving incentive system for heavy-duty vehicle drivers
Energy issues have become increasingly important in supply chain management (SCM). Traditionally, the focus of the environmental impacts of SCM has been on transport chains, which are key functions in logistics. Therefore, many of the relevant measures to evaluate the energy efficiency of supply chains are related to transport chains and mileage. In order to affect transport demand and total energy consumption, the focus should be shifted from single shipments to the analysis of complete supply chains, including raw material procurement, inbound logistics, production and outbound logistics.
This paper presents examples of system boundaries and different types of indicators utilised in the measurement of the energy efficiency of supply chains. The case studies analyse the supply chains relating to the paper and metal industries. The results of these case study examples show that even in energy-intensive heavy industry, supply chain decisions can affect energy consumption significantly, although production phase dominates the overall energy consumption. Continue reading Journal article: Indicators of energy efficiency of supply chains
A framework for modeling and analyzing the energy efficiency of road freight transport is presented in this paper. This framework is tested by using the data from the Finnish Goods Transport by Road statistics. The data was enhanced by calculating the fuel consumption for each trip in the data. To calculate this, weight-fuel consumption functions were estimated for each Euro-class vehicles and road type. This is a new method for analyzing the energy efficiency of road freight transport and it could be applied also in other countries gathering freight transport data with continuous company surveys. Continue reading Journal article: Trends of energy efficiency in Finnish road freight transport 1995–2009 and forecast to 2016