Warehouse System Configuration Support through Models

Hamberg, Roelof; Verriet, Jacques

doi:10.1007/978-0-85729-968-0_7

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…A similar proposition was made by Hamberg and Verriet (2012), who believed that as the technical hurdles for some of the most complex problems in warehousing would be overcome (by unstructured automatic item picking, autonomous vehicle roaming), a transformation toward automated warehousing would likely occur.…”

Section: Research Hypothesesmentioning

confidence: 94%

An Evaluation of Cross-Efficiency Methods, Applied to Measuring Warehouse Performance

et al. 2017

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In this paper method and practice of cross-efficiency calculation is discussed. The main methods proposed in the literature are tested not on a set of artificial data but on a realistic sample of input-output data of European warehouses. The empirical results show the limited role which increasing automation investment and larger warehouse size have in increasing productive performance. The reason is the existence of decreasing returns to scale in the industry, resulting in suboptimal scales and inefficiencies, regardless of the operational performance of the facilities. From the methodological perspective, and based on a multidimensional metric which considers the capability of the various methods to rank warehouses, their ease of implementation, and their robustness to sensitivity analyses, we conclude to the superiority of the classic Sexton et al. (1986) method over recently proposed, more sophisticated methods.

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Section: Research Hypothesesmentioning

confidence: 94%

An Evaluation of Cross-Efficiency Methods, Applied to Measuring Warehouse Performance

et al. 2017

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“…So far, successful applications of autonomous systems have been limited to environments that can be controlled almost completely to make autonomous operation easier in general and more reliable in particular (figure 1). Examples are manufacturing lines [24] and warehouse operations [28], where almost all aspects of the environment can be controlled and set up to facilitate the operation of autonomous systems. This could include sufficiently precise limits on the position, orientation, and characteristics of objects to be manipulated by a robot as well as control over environmental conditions such as lighting.…”

Section: Introduction 1levels Of Challenges For Autonomous Systemsmentioning

confidence: 99%

Bioinspiration from bats and new paradigms for autonomy in natural environments

Müller

2024

Bioinspir. Biomim.

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Achieving autonomous operation in complex natural environment remains an unsolved challenge. Conventional engineering approaches to this problem have focused on collecting large amounts of sensory data that are used to create detailed digital models of the environment. However, this only postpones solving the challenge of identifying the relevant sensory information and linking it to action control to the domain of the digital world model. Furthermore, it imposes high demands in terms of computing power and introduces large processing latencies that hamper autonomous real-time performance. Certain species of bats that are able to navigate and hunt their prey in dense vegetation could be a biological model system for an alternative approach to addressing the fundamental issues associated with autonomy in complex natural environments. Bats navigating in dense vegetation rely on clutter echoes, i.e., signals that consist of unresolved contributions from many scatters. Yet, the animals are able to extract the relevant information from these input signals with brains that are often less than one gram in mass. Pilot results indicate that information relevant to location identification and passageway finding can be directly obtained from clutter echoes, opening up the possibility that the bats' skill can be replicated in man-made autonomous systems.

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“…Recently, complete robotic solutions, such as collaborative robots ( Asfour et al, 2018 ) or robotic warehouse automation ( Hamberg and Verriet, 2012 ) are frequently deployed in real world scenarios ( Cotugno et al, 2020 ). For example, the purpose of the EU H2020 SecondHands project 1 is to develop a humanoid collaborative robot (the ARMAR-6 ( Asfour et al, 2018 )) to assist a maintenance technician in servicing conveyor belts in a real-world warehouse ( Figure 1 ).…”

Section: Introductionmentioning

confidence: 99%

A containerised approach for multiform robotic applications

Cotugno,

Rodrigues,

Deacon

et al. 2024

Front. Robot. AI

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As the area of robotics achieves promising results, there is an increasing need to scale robotic software architectures towards real-world domains. Traditionally, robotic architectures are integrated using common frameworks, such as ROS. Therefore, systems with a uniform structure are produced, making it difficult to integrate third party contributions. Virtualisation technologies can simplify the problem, but their use is uncommon in robotics and general integration procedures are still missing. This paper proposes and evaluates a containerised approach for designing and integrating multiform robotic architectures. Our approach aims at augmenting preexisting architectures by including third party contributions. The integration complexity and computational performance of our approach is benchmarked on the EU H2020 SecondHands robotic architecture. Results demonstrate that our approach grants simplicity and flexibility of setup when compared to a non-virtualised version. The computational overhead of using our approach is negligible as resources were optimally exploited.

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Warehouse System Configuration Support through Models

Cited by 5 publications

References 2 publications

An Evaluation of Cross-Efficiency Methods, Applied to Measuring Warehouse Performance

An Evaluation of Cross-Efficiency Methods, Applied to Measuring Warehouse Performance

Bioinspiration from bats and new paradigms for autonomy in natural environments

A containerised approach for multiform robotic applications

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