Integration of Poka Yoke Into Process Failure Mode and Effect Analysis: A Case Study

Puvanasvaran, A. P.; Jamibollah, N.; Norazlin, N.

doi:10.3844/ajassp.2014.1332.1342

Cited by 11 publications

(5 citation statements)

References 9 publications

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“…Accordingly, tabular summaries of critical realist PGNW can be used to highlight these issues in conjunction with established engineering design methods such as failure mode and effects analysis (FMEA) and job design. FMEA provides a systematic process for predicting and preventing problems [ 148 ], while job design methods are used to facilitate both workplace performance and worker wellbeing [ 149 ].…”

Section: Psychomotor Hierarchical Predictive Processingmentioning

confidence: 99%

Psychomotor Predictive Processing

Fox

2021

Entropy

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Psychomotor experience can be based on what people predict they will experience, rather than on sensory inputs. It has been argued that disconnects between human experience and sensory inputs can be addressed better through further development of predictive processing theory. In this paper, the scope of predictive processing theory is extended through three developments. First, by going beyond previous studies that have encompassed embodied cognition but have not addressed some fundamental aspects of psychomotor functioning. Second, by proposing a scientific basis for explaining predictive processing that spans objective neuroscience and subjective experience. Third, by providing an explanation of predictive processing that can be incorporated into the planning and operation of systems involving robots and other new technologies. This is necessary because such systems are becoming increasingly common and move us farther away from the hunter-gatherer lifestyles within which our psychomotor functioning evolved. For example, beliefs that workplace robots are threatening can generate anxiety, while wearing hardware, such as augmented reality headsets and exoskeletons, can impede the natural functioning of psychomotor systems. The primary contribution of the paper is the introduction of a new formulation of hierarchical predictive processing that is focused on psychomotor functioning.

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Section: Psychomotor Hierarchical Predictive Processingmentioning

confidence: 99%

Psychomotor Predictive Processing

Fox

2021

Entropy

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“…This is a goal of many well-established techniques, including failure modes and effects analyses, and poka-yoke that seek to bring about high productivity mistake-proof production. Importantly, engineering design of mistake-proof capable processes enables the scaling up of production excellence to many different locations and many different participants [71][72][73][74].…”

Section: On-the-job Trainingmentioning

confidence: 99%

“…This is because exactly what materials, manufacturing equipment and manual skills will be needed in their production is not known from one product to the next. Hence, the equipping of moveable factories cannot be rationalized, product kits cannot be developed, and mistake-proof process capability cannot be engineered into production work in order to facilitate rapid on-the-job training [71][72][73][74]. Furthermore, moveable production systems are not well-suited to the production of the most complex products.…”

Section: Limitationsmentioning

confidence: 99%

“…Moreover, it is not anticipated that current approaches will provide sufficient employment to lift mass of people out of poverty [152]. By contrast, moveable production systems are scalable because, as explained in Section 3 and summarized in Figure 8, they can be engineered for scaling up through application of techniques that ensure consistent capability of processes [69][70][71][72][73][74]. Furthermore, movable production systems can go to where there are gaps between demand and supply.…”

Section: Implications For Practicementioning

confidence: 99%

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Moveable Production Systems for Sustainable Development and Trade: Limitations, Opportunities and Barriers

Fox

2019

Sustainability

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It has been claimed that technological advances will make it possible to make anything anywhere and to do so sustainably. In particular, making anything anywhere would increase the diversity of locations and participants involved in production, with positive effects for sustainability. For example, increasing the diversity of locations can reduce the long-distance transportation of materials and goods, which can improve the ecological sustainability of production. At the same time, increasing the diversity of people included in manufacturing can contribute to the spread of manufacturing communities, which can improve the social sustainability of production. However, physical production continues to be dominated by the same countries that have dominated global manufacturing in recent decades. Meanwhile, trade imbalances between rich and poor countries are similar to those of the past. In this paper, limitations and opportunities are explained for moveable production systems to increase the diversity of locations and participants in global production and trade. In addition, potential geopolitical barriers to the deployment of moveable production systems are explained.

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“…The data sets can be arranged in the form of a tree structure, which is easy to query and extract the relevant system resources. At the same time, the standard templates for each type of system documents, such as process flow diagrams, process FMEA [8] and control plans, are designed, thus, in every stage of APQP [8] implementation, the template of the corresponding class is invoked, the system will automatically pop up the properties box, the content can be selected to fill, then a complete system documents would be created after the execution; In addition, the associated linkage between the 01013-p.5 specific templates can be set, through which one template is filled, the other linked template will be filled with the similar content, when the data is modified or deleted, it also comply with this setup.…”

Section: -P4mentioning

confidence: 99%

Application and Implementation of the Structured Assembly Process Planning in A Auto Enterprise Based on TS16949

Sun

Wang

Yin

et al. 2016

MATEC Web of Conferences

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Abstract. Process planning is the key link that connects the product design and manufacture. In order to continually improve the effectiveness and efficiency of process planning an auto enterprise in consistent with the process management requirements of TS16949, the requirements for assembly process planning is analysed and the main problems affecting the design and production efficiency are discussed. The infrastructure of the structured process planning and management platform is constructed combing the management technology and TS16949 quality system, then the structured PPPR (product, process, plant and resource)model is reintegrated to analyze the relationships among the objects with the object-oriented method. In the end, with the principles of maintaining conveniently and operating practically, the assembly process planning and management system is implemented according to the characteristics of the process in the enterprise, and the main function modules of the system are described.

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Integration of Poka Yoke Into Process Failure Mode and Effect Analysis: A Case Study

Abstract: The Failure Mode and Effect

Cited by 11 publications

References 9 publications

Psychomotor Predictive Processing

Psychomotor Predictive Processing

Moveable Production Systems for Sustainable Development and Trade: Limitations, Opportunities and Barriers

Application and Implementation of the Structured Assembly Process Planning in A Auto Enterprise Based on TS16949

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