Fuzzy modeling and analytic hierarchy processing-means to quantify risk levels associated with occupational injuries. II. The development of a fuzzy rule-based model for the prediction of injury

McCauley-Bell, Pamela; Badiru, Adedeji B.

doi:10.1109/91.493907

Cited by 28 publications

(6 citation statements)

References 10 publications

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“…Rapid upper limb assessment (RULA) (McAtamney and Corlett 2004) was used to determine the ergonomic risks in each process as well as Fuzzy Risk Predictive Model (McCauley-Bell and Badiru 1996) in determining comprehensive risk levels in the workstations.…”

Section: Methodsmentioning

confidence: 99%

“…This indicated that the workstations were prone to ergonomic hazards and risks, which may affect worker's performance and later on may result in musculoskeletal disorders (MSDs). McCauley-Bell and Badiru (1996) developed the fuzzy predictive model to quantitatively predict the risk level of work-related musculoskeletal disorders (WMSDs). Three risk factors were identified namely: task-related, personal and organizational risks and were evaluated for relative significance.…”

Section: Existing Facility Layoutmentioning

confidence: 99%

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Ergonomics and simulation-based approach in improving facility layout

Abad

2018

J Ind Eng Int

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The use of the simulation-based technique in facility layout has been a choice in the industry due to its convenience and efficient generation of results. Nevertheless, the solutions generated are not capable of addressing delays due to worker's health and safety which significantly impact overall operational efficiency. It is, therefore, critical to incorporate ergonomics in facility design. In this study, workstation analysis was incorporated into Promodel simulation to improve the facility layout of a garment manufacturing. To test the effectiveness of the method, existing and improved facility designs were measured using comprehensive risk level, efficiency, and productivity. Results indicated that the improved facility layout generated a decrease in comprehensive risk level and rapid upper limb assessment score; an increase of 78% in efficiency and 194% increase in productivity compared to existing design and thus proved that the approach is effective in attaining overall facility design improvement.

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Section: Methodsmentioning

confidence: 99%

Section: Existing Facility Layoutmentioning

confidence: 99%

Ergonomics and simulation-based approach in improving facility layout

Abad

2018

J Ind Eng Int

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“…The methods of weights determination mainly included the analytic hierarchy process on the basis of domain knowledge [19,22,24] and genetic algorithm (GA) combining with domain knowledge, which can extract knowledge from collected data [15,18]. In this study, however, we employ a simple questionnaire survey method, because our enhanced fuzzy neural network (EFNN) only considers the related important degrees of evaluation factors instead of detailed quantitative weights.…”

Section: Introductionmentioning

confidence: 99%

Business performance forecasting of convenience store based on enhanced fuzzy neural network

2007

Neural Comput Applic

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Reliable business performance forecasting of convenience store (CVS) can not only help in making the correct local selection decision but also in decreasing the store cost and thereby enlarging the profit significantly. Therefore, the main aim of this paper is to design an enhanced fuzzy neural network (EFNN)-based predictor to forecast the business performance of CVS. Without considering relevant domain knowledge, traditional fuzzy neural networks suffer from the problem of low accuracy of forecasting unseen examples. Moreover, traditional fuzzy neural networks have to turn weights with a kind of time-consuming gradient steepest descent training algorithm. Considering the relationship between the evaluation factors globally, we devise the EFNN which assigns connection weights based on the expert domain knowledge without painstakingly and repeatedly turning them. Furthermore, by generating and refining the activation function based on genetic algorithm, our EFNN can provide comprehensive and accurate activation functions and fit a wider range of nonlinear models. By experimenting our methods with several benchmark methods, the proposed methods are found to have an optimal accuracy in forecasting the business performance of CVS with a permanent good performance.

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“…The recognition of personal risk factors can be useful in providing training, administrative controls, and awareness. Personal or individual risk factors can impact the likelihood for occurrence of a WMSD (McCauley-Bell & Badiru, 1996a;McCauley-Bell & Badiru, 1996b). These factors vary depending on the study but may include age, gender, smoking, physical activity, strength, anthropometry and previous WMSD, and degenerative joint diseases (McCauley Bush, 2011).…”

Section: Individual or Personal Risk Factorsmentioning

confidence: 99%