Berkel, Aymar (2025) Optimizing the Cool Chain Storage Capacity at KLM Cargo through a Redesigned Road Feeder Services Network. Design Project, Industrial Engineering and Management.
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Abstract
This research aims to improve the cooled storage capacity at the Amsterdam hub, by optimizing truck scheduling to minimize shipment transit times. KLM Cargo currently experiences a chronic under-capacity of cooled cargo storage facilities. Analysis has shown that the under-capacity of the storage facilities is caused by long shipment transit times, which on average is 26 hours at the hub, exceeding the target of 8 hours. This extended transit time, which is primarily caused by inefficient truck scheduling, leads to cooling facility congestion, reduced storage capacity, and risk of perishable product deterioration. To address this problem, a hybrid simulation optimization model has been developed, that combines discrete event simulation, agent-based modeling, and an optimization tool, to map the real-world dynamics in a digital simulation model. The model focuses on three objectives: efficiently scheduling trucks to reduce the total distance traveled, improving truck utilization, and timing shipment arrivals at the Amsterdam hub to minimize the transit times at the hub. This research has approached the optimization problem using the 'Vehicle Routing Problem with Time Windows', to implement 'milk-run' logistics. The hybrid model has been tested under a range of scenarios, to investigate the impact on the trucking network. The results of the scenarios demonstrated that optimized truck scheduling can reduce shipment transit times at the hub by 17-50%.
| Item Type: | Thesis (Design Project) |
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| Supervisor name: | Hubl, A. and Wezel, W.M.C. van |
| Degree programme: | Industrial Engineering and Management |
| Thesis type: | Design Project |
| Language: | English |
| Date Deposited: | 25 Mar 2025 08:42 |
| Last Modified: | 25 Mar 2025 08:42 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/34919 |
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