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Improving internal routing operations in the automotive industry

Koopman, N.H.D. (2023) Improving internal routing operations in the automotive industry.

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Abstract:Scania Production Zwolle (SPZ) produces a wide variety of trucks and the Batch/Sequence/Kit flow (BSK flow) is used for a part of their internal logistics process. In this thesis we create a future-proof solution approach that improves the internal routing operations at SPZ, in comparison to the manually created train schemes. We have identified the problem faced at SPZ as a Vehicle Routing Problem (VRP): the BSK flow-VRP is the Vehicle Routing Problem with Pickup and Delivery and loading constraints for internal logistics. Our solution approach consists of: importing data; executing the Nearest Neighbour Heuristic and Tabu Search, both are adapted to the BSK flow-VRP; generating the output. The results from our solution approach, while using the current settings of the BSK flow, show that our solution approach improves the performance of the BSK flow. Observed improvements are that less trains on average are needed and an increase in the average physical fill rate. Further improvements of the BSK flow performance are possible by changing some of the used planning restrictions: some changes in the used planning restrictions resulted in a reduction in the required number of trains, while all experiments resulted in further increasing the average physical fill rate.
Item Type:Essay (Master)
Clients:
Scania Production Zwolle, Zwolle, The Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:50 technical science in general, 55 traffic technology, transport technology, 58 process technology
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:https://purl.utwente.nl/essays/94014
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