An optimization model for 3D loading space for the transport of large steel structures

An optimization model for 3D loading space for the transport of large steel structures

Krombeen, Jasper (TU Delft Mechanical, Maritime and Materials Engineering)

Jiang, X. (mentor)

Delft University of Technology

Mechanical Engineering

2021-09-30

In this report, a model is presented that automates and optimizes the loading processes for the transport of steel structures at the company of ASK Romein. This transport can be captured in two main loading processes: the loading division, which consists of allocating items to different trailers, and the loading sequence, which considers placing the items onto their respective trailer.
The possibility of automating the process of the loading division is investigated. This includes the digital generation of the loading sequence process. Achieving a form of automation would both mean a reduction in time required to create a loading division as well as allow for optimizing the number of required trailers.
Using an extensive literature review as well as an in-depth investigation of the current situation at the company, a model is developed, which consists of an ALNS heuristic responsible for the loading division, and a new function, the layer heuristic, proposed in this report, that digitally generates the loading sequence.
The proposed model is validated using various experiments on real-life data, including several sensitivity analyses. For the used data set, the model is able to reduce the existing loading division by at least 24%, and the computation time is superior to the current time required to create a loading division. Because the loading sequence process is created digitally, the model is capable of checking all the loading conditions, such as axle loads, even before the actual loading sequence has taken place.

3D space optimization
Multiple Bin Size Bin Packing Problem
Adaptive large neighborhood search

http://resolver.tudelft.nl/uuid:e51f27a2-e262-4e23-a64c-4dc5df80b74a

Student theses

master thesis

© 2021 Jasper Krombeen