Metaheuristics for the Robot Part Sequencing and Allocation Problem with Collision Avoidance

Croucamp, Marco; Grobler, Jacomine

doi:10.1007/978-3-030-86230-5_37

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…I am also profoundly thankful to his family for being there for me and for their hospitality, love and support, that allowed me to focus on my work with a sense of comfort and belonging. 2.1 Picker routing heuristics considered to retrieve items of a pick list (from Croucamp and Grobler [44]). .…”

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confidence: 99%

Improving supply chain performance

Rajabighamchi

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I am very thankful for my Iranian colleagues, Ashkan and Arman. Spending time together with our Iranian colleagues in the Netherlands has been a source of comfort and camaraderie, especially as we navigate the challenges of being away from our homeland. The shared language and culture create a unique bond that goes beyond professional collaboration. Whether it's sharing stories over a cup of Persian tea, celebrating cultural festivities, or simply supporting each other during moments of homesickness, the sense of community we've cultivated is invaluable. In these shared moments, we find solace and connection, making our workplace feel like a home away from home. Contents

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confidence: 99%

Improving supply chain performance

Rajabighamchi

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A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods

Kůdela¹,

Juricek²,

Parak³

2023

Lecture Notes in Computer Science

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Integer Linear Programming for Automated Guided Vehicles Path Planning in Container Terminals

Terfasse,

Cherif,

Huguet

2024

2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)

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Port automation has emerged as a transformative solution enabling seaport management to efficiently handle the escalating volume of operations, driven in part by the advancements in low-cost long-distance maritime transport. In this context, the use of Automated Guided Vehicles for the loading and unloading of ships creates a need to optimize the conflictfree routing of these vehicles, in order to guarantee the safe transportation of goods within automated container terminals. In this work, we propose an Integer Linear Programming model to address the problem of collision-free path planning of Automated Guided Vehicles in container terminals where each vehicle is associated to one routing request. Numerical experiments are performed to evaluate the proposed method's performances. Conclusions are drawn regarding its efficiency, and future avenues of research to address the problem are proposed.

show abstract

Metaheuristics for the Robot Part Sequencing and Allocation Problem with Collision Avoidance

Cited by 3 publications

References 13 publications

Improving supply chain performance

Improving supply chain performance

A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods

Integer Linear Programming for Automated Guided Vehicles Path Planning in Container Terminals

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