Review of compatibility and selection of multiple lever controls used in heavy machinery

Hoffmann, Errol R.; Chan, Alan H.S.

doi:10.1016/j.ergon.2017.07.007

Cited by 11 publications

(6 citation statements)

References 15 publications

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“…With regard to design support of automated driving, however, design spaces for the internal design of automated vehicles are still rare, but for the external communication of automated vehicles (Colley and Rukzio, 2020) and teleoperation, first proposals have been made 10.3389/frobt.2023.1276258 (Graf et al, 2020). While surveys on interaction issues with AMHV have been put forward (Hoffmann and Chan, 2018), no design space is available to support the development of human-automation interaction for this category of systems.…”

Section: Design Spaces In Hcimentioning

confidence: 99%

A design space for automated material handling vehicles

Mirnig,

Fröhlich,

Zafari

et al. 2023

Front. Robot. AI

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Material Handling Vehicles (loaders, excavators, forklifts, harvesters, etc.) have seen a strong increase in automation efforts in recent years. The contexts such vehicles operate in are frequently complex and due to the often very specific nature of industrial material handling scenarios, know-how is fragmented and literature is not as numerous as, for example, for passenger vehicle automation. In this paper, we present a contextual design space for automated material handling vehicles (AMHV), that is intended to inform context analysis and design activities across a wide spectrum of material handling use cases. It was developed on the basis of existing context and design spaces for vehicle and machine automation and extended via expert knowledge. The design space consists of separate context and interaction subspaces, that separately capture the situation and each individual point of interaction, respectively. Implications, opportunities, and limitations for the investigation and design of AMHV are discussed.

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Section: Design Spaces In Hcimentioning

confidence: 99%

A design space for automated material handling vehicles

Mirnig,

Fröhlich,

Zafari

et al. 2023

Front. Robot. AI

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“…A control lever can be categorised into two major types, namely the linear lever that can only move in a single axis (forward or backward to control a single function) and a joystick that can move in two axes to control two functions simultaneously (forward, backwards, and sideways). Hoffmann and Chan [40] mentioned that control selection problems can exist among operators when there are multiple controls for a machine.…”

Section: Control Levers In Heavy Machinerymentioning

confidence: 99%

A Preliminary Study on Ergonomic Contribution to the Engineering Design Approach of a Wheel Loader Control Lever System

Choong

Yeo

et al. 2021

Sustainability

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Studies show that heavy machinery operators are exposed to risk factors of musculoskeletal diseases. However, there has yet to be a study investigating the grip analysis of heavy machinery control levers. This preliminary study aims to investigate the grip analysis of a system that emulates the push–pull operations, handle shapes, and resistance of wheel loader control lever systems. The system was designed, analysed, and optimised using Autodesk Inventor 2019 before fabrication and testing. It underwent usability testing for estimated and perceived grip force analysis (ergonomics analysis). The tests measured estimated force using a sensor glove, and perceived force using the Borg CR10 scale. The data were analysed using regression and paired t-tests. The findings suggested that pulling and high resistance factors required higher estimated force (339.50 N) and perceived force (5.625) than pushing and low resistance factors in manoeuvring the system (p < 0.05). The cylindrical handle required more estimated force (339.50 N) but less perceived force (4.5) than the spherical handle due to ergonomic design considerations (p < 0.05). Although there were inaccuracies in force measurement methods, the perceived method was still effective for data collection, since it is challenging to measure grip force in a real situation with heavy machinery. While this study was only a simulation, it provided researchers with ideas that may solve problems in the manipulation of heavy machinery control levers.

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“…In addition to that, the operators' working conditions imply whole-body vibration, psychosocial factors, dust, exhaust gases, noise, temperature extremes, and time pressure, while working in shifts often with prolonged working hours, which also seriously affects the health and working performance of operators [5,[11][12][13]. Additionally, there are recognized visibility issues, the limited space of the cabin, commands/levers reach issues, inadequate seat design, and cab entry/exit problems [3,5,6,[14][15][16][17][18]. Non-neutral torso positions involving flexion, lateral flexion, and/or twisting lead to muscle fatigue, spinal compression, lower back intervertebral pressure, and lumbar pain are often presented [10,19,20].…”

Section: Introductionmentioning

confidence: 99%

“…Armrest issues are diagnosed in surveys [6,9,10,35]. Vibrations are seen as an impeding factor in the literature sources [10,12,17,18]. Control and command usage is ergonomically examined in surveys such as [5,9,10,14].…”

Section: Introductionmentioning

confidence: 99%

Validating Measurement Structure of Checklist for Evaluating Ergonomics Risks in Heavy Mobile Machinery Cabs

et al. 2022

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Heavy mobile machinery cabs and their equipment are still not well adjusted to operators, so it is not surprising that we are still witnessing huge consequences of accidents at sites where they operate. The checklist with 39 questions, based on the previous research, is formed, and its’ measurement structure has been tested on the sample of 102 transport, construction, and mining machines, including cranes, excavators, bucket wheel excavators, bulldozers, loaders, graders, backhoe loaders, trenchers, dump trucks, and scrapers by correlation analysis, Cronbach’s alpha, Spearman-Brown and Kendall’s W coefficient, exploratory factor analysis, and confirmatory factor analysis. The results validate the measurement structure of a checklist with only 17 items and five constructs. The results show that special attention should be put to the design of armrests and working conditions/exhaust gases, which are negatively correlated to cab interior space and task visibility. All other correlations between seat characteristics, the characteristics of armrests, whole-body vibration influences, reaching commands, the characteristics of cab interior space and environments, and interpersonal relationships are positive, which means that improvements to one area lead to improvements in another. Accordingly, the proposed model should be used for the fast, efficient, and cost-effective evaluation of ergonomics risks and as a guideline for further cab design improvements.

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Review of compatibility and selection of multiple lever controls used in heavy machinery

Cited by 11 publications

References 15 publications

A design space for automated material handling vehicles

A design space for automated material handling vehicles

A Preliminary Study on Ergonomic Contribution to the Engineering Design Approach of a Wheel Loader Control Lever System

Validating Measurement Structure of Checklist for Evaluating Ergonomics Risks in Heavy Mobile Machinery Cabs

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