An Overview of Industrial Employees' Exposure to Noise in Sundry Processing and Manufacturing Industries in Ilorin Metropolis, Nigeria

Olayinka, Oyedepo Sunday; Abdullahi, Saadu A.

doi:10.2486/indhealth.47.123

Cited by 22 publications

(10 citation statements)

References 8 publications

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“…Evaluation of the level of awareness of safety hazards amongst the respondents using PII indicates that the workers are often aware of hazards in their work environment. This finding agrees with the results of Okafoagu and Olayinka [3,33] who in their studies reported that majority of the workers in chemical related industries in Nigeria are aware of safety measures in their workplaces. The study found that the workers in the CHI received adequate training on safety hazards; this finding contradicts the finding by Awodele, [30] who reported that only about 30% of workers in a paint factory in Nigeria received training on hazards and safety measures.…”

Section: Safety Hazards and Risk Awareness In The Chisupporting

confidence: 92%

Identification of Industrial Hazards and Assessment of Safety Measures in the Chemical Industry, Nigeria Using Proportional Importance Index

Afube

Nwaogazie

2019

ACRI

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Proper identification of hazards and creation of a safe working environment is a major challenge faced by management of many industries today. Hazard assessment is thus carried out in workplaces to identify dangerous events and conditions that may lead to accidents in the industries. This study, which was carried out in both a petrochemical and an oil refining companies of Nigeria, identified industrial hazards and assessed safety measures in the Chemical Industry (CHI) of Nigeria. A well-structured questionnaire instrument was used for data collection. The study was carried out amongst technical staff and management staff of the chemical industry whose day-to-day duty is such that they are exposed to one form of hazard or the other in the industry. The questionnaire was administered to 96 technical staff and management staff in the CHI out of which 84 (88%) were completed and returned. The study focused on types of hazards, hazards and risk awareness, implementation of control measures and effectiveness of safety hazards and risk management programmes in the chemical industry of Nigeria. Modified Proportional Importance Index (PII) and a four-point Likert scale were adopted in data analysis. Results revealed that loud noise (PII = 3.2; respondents = 92%), working at heights (with PII = 3.1; respondents = 89%) machines and equipment vibration (PII = 3.0; respondents = 87%), high voltage areas (PII = 2.9; respondents = 84%) and chemical spills (PII = 2.5; respondents = 55%) are the most high ranking hazards in the chemical industry. A high level of safety hazard awareness was found among workers in the industry (p < 0.05, 95%Cl.; PII = 3.1 - 3.5). The outcome of the intervention showed that Chemical Industry Number 1 (CHI-1) improved from 87.90% to 98.09%, Chemical Industry Number 2 (CHI-2) improved from 81.53% to 95.54% on worker’s knowledge on the identification and assessment of hazards and risk in the chemical industries. These hazards pose threats to the safety of workers and should be effectively controlled to reduce associated risks to as Low as Reasonably and Practically Achievable (ALARPA).

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Section: Safety Hazards and Risk Awareness In The Chisupporting

confidence: 92%

Identification of Industrial Hazards and Assessment of Safety Measures in the Chemical Industry, Nigeria Using Proportional Importance Index

Afube

Nwaogazie

2019

ACRI

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“…In addition to engineering controls, employers should provide their workers with at least two means of protection -personal protection equipment (PPE), which is the most common, and administrative controls such as periodic shift rotation and limiting exposure to noise when noise levels exceed 85dB. [3,4] Because exposure to noise at the workplace is continuous, it is important to determine the long-term effects exposure to continuous noise has on hair cell loss. The small amount of hair cell damage caused by exposure to intermittent noise could be related to the recovery periods between noise phases.…”

Section: Introductionmentioning

confidence: 99%

Effects of shift work on noise-induced hearing loss

2009

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Evidence has accumulated concerning the adverse effects of noise on hearing acuity, but it is not clear whether working shifts may decelerate the effects of hearing loss. The objective of this study is to assess the effects of shift work on hearing loss in a noisy work environment. A sample of 218 male workers recruited at a semiconductor factory with no known occupational hazards that affected hearing acuity other than noise was chosen. The subjects worked either in an eight-hour or 12-hour shift. A standardized audiometric procedure was performed by a qualified audiologist to measure pure-tone hearing thresholds at 0.5 kHz, 1 kHz, 2 kHz, 3 kHz, 4 kHz, 6 kHz and 8 kHz in both ears. Using multiple linear regression adjusted for age, smoking habits, and work duration, the results showed that the severity of hearing loss in both ears was significantly lower in subjects who worked a 12-hour shift. In conclusion, working a 12-hour shift followed by a day off is best for workers and hearing protection should be provided in high noise areas.

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“…This article uses an equivalent sound Class A to evaluate the noise performance merits in different scheduling environments. 29,30 In equivalent sound Class A, actual noises rarely remain stable and fixed but rather fluctuate up and down over time. In general, acoustic energy within the averaging time of the cycle is used to obtain the average energy in each sound Class A of the fluctuated change happening in a certain period.…”

Section: Evaluation Models Of Productivity Energy Consumption and Nmentioning

confidence: 99%

Energy-efficient job shop scheduling problem with variable spindle speed using a novel multi-objective algorithm

Yin

Gao

et al. 2017

Advances in Mechanical Engineering

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Most traditional scheduling problems prioritize optimizing production efficiency, cost, and quality. However, with gradually increasing energy consumption and environmental pollution, the novel ''energy-efficient scheduling'' model has received increasing attention from scholars and engineers. This scheduling model focuses on reducing workshop energy consumption and environmental pollution and has become a hot topic in the scheduling area. This article proposes a new energy-efficient scheduling mathematical model considering productivity, energy efficiency, and noise reduction with flexible spindle speed for the job shop environment. This model considers the machining spindle speed that impacts the production time, power, and noise to be flexible and an independent decision-making variable. In addition, the evaluation methods of productivity, energy consumption, and noise are presented in this model. To cleanly solve this mixed integer programming model, an effective multi-objective genetic algorithm based on simplex lattice design is proposed. The corresponding encoding/decoding method, fitness function, and crossover/mutation operators are designed based on the features of this problem. To evaluate the performance of this method, three instances with different scales have been designed. The results demonstrate the effectiveness of the proposed model for the energy-efficient job shop scheduling problem.

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An Overview of Industrial Employees' Exposure to Noise in Sundry Processing and Manufacturing Industries in Ilorin Metropolis, Nigeria

Cited by 22 publications

References 8 publications

Identification of Industrial Hazards and Assessment of Safety Measures in the Chemical Industry, Nigeria Using Proportional Importance Index

Identification of Industrial Hazards and Assessment of Safety Measures in the Chemical Industry, Nigeria Using Proportional Importance Index

Effects of shift work on noise-induced hearing loss

Energy-efficient job shop scheduling problem with variable spindle speed using a novel multi-objective algorithm

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