The design of a spatial distribution structure is of strategic importance for companies, to meet required customer service levels and to keep logistics costs as low as possible. Spatial distribution structure decisions concern distribution channel layout – i.e. the spatial layout of the transport and storage system – as well as distribution centre location(s). This paper examines the importance of seven main factors and 33 sub-factors that determine these decisions. The Best-Worst Method (BWM) was used to identify the factor weights, with pairwise comparison data being collected through a survey. The results indicate that the main factor is logistics costs. Logistics experts and decision makers respectively identify customer demand and service level as second most important factor. Important sub-factors are demand volatility, delivery time and perishability. This is the first study that quantifies the weights of the factors behind spatial distribution structure decisions. The factors and weights facilitate managerial decision-making with regard to spatial distribution structures for companies that ship a broad range of products with different characteristics. Public policy-makers can use the results to support the development of land use plans that provide facilities and services for a mix of industries.
Saxion is part of the Dutch system of universities for higher vocational training and applied sciences. In this paper a case study is presented to gain more insight in spin offs of these types of universities, and their effect on the regional economy. For this purpose a database of 152 spin offs has been developed and a first survey was analysed. Most spin offs are active in the ICT and business services sectors. We have compared the results with the spin offs University of Twente. We observed that the percentage of spin offs, which was located outside the surrounding region of Saxion (33%) was significantly higher, than the percentage of spin off of the University of Twente (22%). The spin offs outside the region also have employees than Saxion spin off in the region. There is however no difference in the way the spin off perceive the business climate of their location. Stimulating entrepreneurship at universities of applied seems a good strategy to support the development of the promising knowledge intensive service sector in the eastern part of the |Netherlands. On the other hand this strategy should be accompanied with policy instruments aiming at convincing alumni entrepreneurs to stay in the region.
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In the city of Amsterdam commercial transport is responsible for 15% of vehicles, 34% of traffic’s CO2 emissions and 62% of NOx emissions. The City of Amsterdam plans to improve traffic flows using real time traffic data and data about loading and unloading zones. In this paper, we present, reflect, and discuss the results of two projects from the Amsterdam University of Applied Sciences with research partners from 2016 till 2018. The ITSLOG and Sailor projects aim to analyze and test the benefits and challenges of connecting ITS and traffic management to urban freight transport, by using real-time data about loading and unloading zone availability for rerouting trucks. New technologies were developed and tested in collaboration with local authorities, transport companies and a food retailer. This paper presents and discusses the opportunities and challenges faced in developing and implementing this new technology, as well as the role played by different stakeholders. In both projects, the human factor was critical for the implementation of new technologies in practice.
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