Using Poka-Yoke Methods to Improve Employment Potential of Intellectually Disabled Workers

Treurnicht, Nico; Blanckenberg, Mike; Niekerk, Hermanus G. Van

doi:10.7166/22-1-44

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…Considering that even best workers are prone to mistakes, the term has been changed to mistake proofing [12]. PY has been used under different names such as error proofing [29], mistake proofing [39], idiot proofing, and fool proofing [19]. Some definitions by authors are summarized and described in Table 1.…”

Section: History and Definition Of Pymentioning

confidence: 99%

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A Systematic Literature Review of Poka-Yoke and Novel Approach to Theoretical Aspects

Lazarević¹,

Mandic²,

Sremcev³

et al. 2019

SV-JME

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For many years, Poka-Yoke (PY) has been used as one of the means to overcome challenges that can affect errors and defects in process. It is a widely accepted concept-a way of thinking, which undoubtedly contributed to significant results in a struggle against the occurrence of errors in various work processes. However, although PY seems to be well understood in theory, there are a large number of scientific papers and books that still seek to clarify and redefine PY, in order to finally implement its application at full capacity. Many authors, as it seems, want to emphasize inconsistencies in current theoretical and practical experiences. This claim is supported by the fact that over 50 similar and different PY definitions have been found in literature. It seems that most researchers do not sufficiently perceive generally accepted attitudes in the field of PY, as well as differences and inconsistencies in some of them. Due to a sense of confusion during the process design stage, an effort to predict locations of possible sources of error is a direct consequence of the diffuse knowledge in the field, which imposes the need to change that state. This paper summarizes the latest studies and definitions in the field of PY applications, in order to propose a comprehensive and generally acceptable definition of PY. In order to find what is common to the most important attitudes in the field of PY, a systematic literature review has been undertaken, with the goal to identify the areas of disagreement, to recognize any gaps that exist and outline personal experiences and attitudes in the field. The novel approach to the types of PY presented in this paper should provide a solid foundation for the creation and development of PY model and a systematic approach to the application of PY in production and service systems. Finally, some conclusions and prospective future research directions are presented. Highlights • Detailed systematic literature review on Poka-Yoke (PY) is presented. • More than 50 examples and case studies on PY are reviewed. • A novel approach to types of PY is proposed. • Examples of PY devices are created and discussed.

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Section: History and Definition Of Pymentioning

confidence: 99%

“…Treurnicht et al [39] The described the use of PY workstation in order to eliminate errors made by individuals with cognitive disabilities working on a ribbon cable assembly process in South Africa. Some of the possible errors were wrong socket alignment, wrong angle, length error, crimping and cutting errors.…”

Section: Chase and Stewart [18]mentioning

confidence: 99%

A Systematic Literature Review of Poka-Yoke and Novel Approach to Theoretical Aspects

Lazarević¹,

Mandic²,

Sremcev³

et al. 2019

SV-JME

View full text Add to dashboard Cite

show abstract

“…Robots can perform a variety of tasks to help human operators in their work [1]. In the past, several studies were made to analyse the execution of manufacturing tasks by disabled people [2][3],…”

Section: Introductionmentioning

confidence: 99%

Vision-driven collaborative robotic grasping system tele-operated by surface electromyography

Úbeda¹,

Zapata-Impata²,

Méndez³

et al. 2018

Preprint

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This paper presents a system that merges computer vision and surface electromyography techniques to carry out grasping tasks. To perform this, the vision-driven system is used to compute pre-grasping poses of the robotic system based on the analysis of tridimensional object features. Then, the human operator can correct the pre-grasping pose of the robot using surface electromyographic signals from the forearm during wrist flexion and extension. Weak wrist flexions and extensions allow a fine adjustment of the robotic system to grasp the object and finally, when the operator considers that the grasping position is optimal, a strong flexion is performed to initiate the grasping of the object. The system has been tested with several subjects to check its performance showing a grasping accuracy of around 95% of the attempted grasps which increases by around a 9% the grasping accuracy of previous experiments in which electromyographic control was not implemented.

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“…The use of robots to collaborate with people with disabilities in industrial environments is a growing sector. For instance, several studies analyse the execution of manufacturing tasks by disabled people [ 2 , 3 ]. In this line, robotic assistive technologies have been successfully introduced following two different approaches.…”

Section: Introductionmentioning

confidence: 99%

A Vision-Driven Collaborative Robotic Grasping System Tele-Operated by Surface Electromyography

Úbeda

Zapata-Impata

Méndez

et al. 2018

Sensors

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This paper presents a system that combines computer vision and surface electromyography techniques to perform grasping tasks with a robotic hand. In order to achieve a reliable grasping action, the vision-driven system is used to compute pre-grasping poses of the robotic system based on the analysis of tridimensional object features. Then, the human operator can correct the pre-grasping pose of the robot using surface electromyographic signals from the forearm during wrist flexion and extension. Weak wrist flexions and extensions allow a fine adjustment of the robotic system to grasp the object and finally, when the operator considers that the grasping position is optimal, a strong flexion is performed to initiate the grasping of the object. The system has been tested with several subjects to check its performance showing a grasping accuracy of around 95% of the attempted grasps which increases in more than a 13% the grasping accuracy of previous experiments in which electromyographic control was not implemented.

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Using Poka-Yoke Methods to Improve Employment Potential of Intellectually Disabled Workers

Cited by 6 publications

References 6 publications

A Systematic Literature Review of Poka-Yoke and Novel Approach to Theoretical Aspects

A Systematic Literature Review of Poka-Yoke and Novel Approach to Theoretical Aspects

Vision-driven collaborative robotic grasping system tele-operated by surface electromyography

A Vision-Driven Collaborative Robotic Grasping System Tele-Operated by Surface Electromyography

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