2007
DOI: 10.1080/10803548.2007.11105103
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Decision Support System for Designing Effective Noise Hazard Prevention Strategies

Abstract: A decision support system for designing effective noise hazard prevention (NHP) decision support system noise hazard prevention genetic algorithms noise control capital budgeting

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Cited by 5 publications
(5 citation statements)
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“…Asawarungsaengkul and colleagues 32,33 have developed a series of algorithms that companies could readily implement to determine the most effective noise control approach within budget and staffing constraints. Aluclu et al 34 have proposed a fuzzy logic model (i.e., a system based on approximate rather than precise values), which simplifies mathematical calculations for estimating the effect of proposed noise control treatments.…”
Section: Noise Controlmentioning
confidence: 99%
“…Asawarungsaengkul and colleagues 32,33 have developed a series of algorithms that companies could readily implement to determine the most effective noise control approach within budget and staffing constraints. Aluclu et al 34 have proposed a fuzzy logic model (i.e., a system based on approximate rather than precise values), which simplifies mathematical calculations for estimating the effect of proposed noise control treatments.…”
Section: Noise Controlmentioning
confidence: 99%
“…The effect of job rotation depends on the job role and tasks with higher risk can reduce the efficiency of rotation (Mehdizadeh et al, 2020). While the popularity of job rotation has declined, it remains popular in hazardous and intensive industries to balance challenging and physical demands to reduce repetitive injuries and fatigue (Asawarungsaengkul and Nanthavanij, 2008;Mehdizadeh et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…, 2020). While the popularity of job rotation has declined, it remains popular in hazardous and intensive industries to balance challenging and physical demands to reduce repetitive injuries and fatigue (Asawarungsaengkul and Nanthavanij, 2008; Mehdizadeh et al. , 2020).…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, genetic algorithms have been more frequently used in preventing vibroacoustic risks in the working environment, e.g., to optimize the coefficients of filters used in systems of active noise reduction [9], to identify noise sources [10], to optimize the location of noise sources and workstations [11,12] and to develop a strategy for noise reduction [13,14].…”
Section: Genetic Algorithmsmentioning
confidence: 99%