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• W32760111 abstract "This research contributes to the Everest team of the European Logistics Deliver department, belongingto the Unilever Supply Chain Company. The main objective of this research is to identify opportunitiesto optimise the European cross-border routing network. A savings application, specifically developedfor Unilever’s routing network, demonstrates that more than XXX Euro savings (i.e. XXX of total costs)on a yearly basis could be realised with backhauling on a small routing network. Moreover, a reductionof XXX on kilometres driven could be established, contributing to Unilever’s carbon footprint reduction.Since these savings concern a small network, it is relevant to investigate the savings potential of theentire European routing network.Transparency of product movements and a good understanding of relevant network constraints are twofundamental points of attention when optimising a routing network. Currently, transparency is lackingand responsibilities are fragmented, which makes that Unilever cannot take advantage of its largescale. Where the Everest team aims to create full transparency and centralisisation of Unilever’stransport management across Europe, this research looks one step ahead and focuses on optimisationopportunities for a fully transparent network. In this network, location constraints concern the specificrequirements of the supply and delivery locations. Freight constraints concern the characteristics ofthe products to be transported. For a routing problem, the importance of various constraints highlydepends on the level of decision making. Since this research is focused on the optimisation of therouting network on tactical level, we consider the following constraints: the lane price, temperaturecontrol requirements, the transit time, the distance, and the frequency of a lane on a yearly basis.Consolidation and backhauling are two major tactical routing optimisation strategies. Whereconsolidation aims at using truck capacity at full potential through consolidating less than truckloadlanes (LTL), backhauling is focused on minimising empty driven kilometres in a network of fulltruckload lanes (FTL). The developed savings application focuses on backhauling. The tool generatesproposals for beneficial backhaul loops in specified FTL routing networks. With key performanceindicators, such as costs- and kilometre savings, we validate the solutions from different perspectives.Moreover, the model also provides insight into the impact of constraints and environmental factors. Forexample, the import-export balance of a region highly influences the benefits of creating backhaulloops. Once feasible backhaul loops are appointed, in-depth consultation with the involved locations onoperational level is required to succesfully merge backhaul loops into the day to day routing schedules.For further research, we recommend to investigate the savings opportunities of consolidation and oftransport with other modalities than road. Also, hub networks and real-time scheduling are two areasof research that potentially lead to further savings on the routing network." @default.
• W32760111 created "2016-06-24" @default.
• W32760111 creator A5009486063 @default.
• W32760111 date "2008-01-01" @default.
• W32760111 modified "2023-09-26" @default.
• W32760111 title "Backhauling; the optimal road to Everest: a study on the optimisation opportunities for the Unilever European Routing Network. Public version" @default.
• W32760111 hasPublicationYear "2008" @default.
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