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T.A.N. Maaskant
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Master thesis
(2023)
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T.A.N. Maaskant, W.W.A. Beelaerts van Blokland, F. Schulte, Koen van den Elsen, Leon de Wit
Fully autonomous bin handling systems are relatively new and examples of existing systems are hard to find. This makes designing such a system more difficult. The goal of this research is to provide insight in the effects of different design strategies of autonomous bin handling systems. This is done through a quantitative optimization model of an existing autonomous bin handling system. With this model, modifications to the system are made and evaluated. Optimal solutions for bill of material and floorspace, for different demand quantities are generated and compared.
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Fully autonomous bin handling systems are relatively new and examples of existing systems are hard to find. This makes designing such a system more difficult. The goal of this research is to provide insight in the effects of different design strategies of autonomous bin handling systems. This is done through a quantitative optimization model of an existing autonomous bin handling system. With this model, modifications to the system are made and evaluated. Optimal solutions for bill of material and floorspace, for different demand quantities are generated and compared.