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Multi-level optimization-heuristic framework for three-dimensional bin packing problem with item upgrading and outsourcing options

Stoverink, L.S. (2023) Multi-level optimization-heuristic framework for three-dimensional bin packing problem with item upgrading and outsourcing options.

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Abstract:Voortman Steel Machinery (VSM) designs and develops Computer Numerical Controlled (CNC) machines and solutions for the steel construction and manufacturing industry. VSM’s customers are located worldwide, so the equipment is transported in collis from VSM to the customer’s location and then assembled on-site. The transportation process lacks strategy and (costs) efficiency. To address this issue, we have developed a decision support tool (DST) that automatically creates a loading proposal. The DST determines which collis to make stackable and which collis to purchase abroad (colli composition), the required number of each transport type (transport composition) and how to position the collis in the transports (transport layout). The DST consists of a two-stage heuristic to solve the three-dimensional bin packing problem with item upgrading and outsourcing options. It is a combinatorial optimization to get the cheapest colli and transport composition with the best transport layout. Recreating the loading proposals from all projects of recent years shows promising results: implementing the DST would result in a significant cost reduction of more than 16% compared to the current situation.
Item Type:Essay (Master)
Clients:
Voortman Steel Machinery, Rijssen, The Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:31 mathematics, 50 technical science in general, 55 traffic technology, transport technology
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:https://purl.utwente.nl/essays/94673
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