The Experts below are selected from a list of 21 Experts worldwide ranked by ideXlab platform
Bente E. Moen - One of the best experts on this subject based on the ideXlab platform.
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Diseases Registered Among Integrated Textile Factory Workers in Ethiopia: A Retrospective Cross-Sectional Study
2020Co-Authors: Yifokire Tefera, Abera Kumie, Wakgari Deressa, Magne Bråtveit, Bente E. MoenAbstract:Abstract Background: Textile and Garment factories are growing in low and middle-income countries; integrated textile and Garment Production factories are developing, where workers are exposed to dust and dangerous, noisy machines in the work environment. Hence, workers' health might be affected negatively due to exposure to different occupational hazards. However, the health condition of workers in this sector is not adequately investigated. The aim of this study is to describe the registered diagnoses of health problems and their association to work-related and personal factors among workers in integrated textile factories in Ethiopia. Methods: A one year recording of worker’s clinical diagnoses (between March 2016 and February 2017) was gathered from the respective factory clinics in three integrated textile factories. Sociodemographic characteristics and work-related information is obtained from the factory’s human resource departments. The association between the registered diagnoses and work-related factors (work in textile Production, Garment Production and support department) and personal factors (age, gender and educational status) were studied using logistic regression analyses.Results: The socio-demographic and clinical diagnosis statuses of 7992 workers are analyzed. The average of workers' age and years of service is 40 years and 11 years, respectively. Majority 4778(60%) of workers are females; a total of 5276 (66%) of workers had 27320 clinical diagnoses; in total this causes 16993 working days lost due to sick leave. Respiratory diseases (34%) and musculoskeletal disorders (29%) were the most prevalent diagnoses, while injuries cause most of the days of work absence. Work department, gender and educational status are the variables that are significantly associated with several disease groups.Conclusions: About two-thirds of the integrated textile factory workers were diagnosed with different types of diseases. The textile and Garment Production department workers were more affected than the support department workers, indicating that some of the diseases are related to work in these departments. Further study should investigate the occurrence of rare chronic diseases such as cancer, heart diseases, renal diseases and diabetics in relation with workers exposure profile.
Yifokire Tefera - One of the best experts on this subject based on the ideXlab platform.
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Diseases Registered Among Integrated Textile Factory Workers in Ethiopia: A Retrospective Cross-Sectional Study
2020Co-Authors: Yifokire Tefera, Abera Kumie, Wakgari Deressa, Magne Bråtveit, Bente E. MoenAbstract:Abstract Background: Textile and Garment factories are growing in low and middle-income countries; integrated textile and Garment Production factories are developing, where workers are exposed to dust and dangerous, noisy machines in the work environment. Hence, workers' health might be affected negatively due to exposure to different occupational hazards. However, the health condition of workers in this sector is not adequately investigated. The aim of this study is to describe the registered diagnoses of health problems and their association to work-related and personal factors among workers in integrated textile factories in Ethiopia. Methods: A one year recording of worker’s clinical diagnoses (between March 2016 and February 2017) was gathered from the respective factory clinics in three integrated textile factories. Sociodemographic characteristics and work-related information is obtained from the factory’s human resource departments. The association between the registered diagnoses and work-related factors (work in textile Production, Garment Production and support department) and personal factors (age, gender and educational status) were studied using logistic regression analyses.Results: The socio-demographic and clinical diagnosis statuses of 7992 workers are analyzed. The average of workers' age and years of service is 40 years and 11 years, respectively. Majority 4778(60%) of workers are females; a total of 5276 (66%) of workers had 27320 clinical diagnoses; in total this causes 16993 working days lost due to sick leave. Respiratory diseases (34%) and musculoskeletal disorders (29%) were the most prevalent diagnoses, while injuries cause most of the days of work absence. Work department, gender and educational status are the variables that are significantly associated with several disease groups.Conclusions: About two-thirds of the integrated textile factory workers were diagnosed with different types of diseases. The textile and Garment Production department workers were more affected than the support department workers, indicating that some of the diseases are related to work in these departments. Further study should investigate the occurrence of rare chronic diseases such as cancer, heart diseases, renal diseases and diabetics in relation with workers exposure profile.
Merinda Pandowo - One of the best experts on this subject based on the ideXlab platform.
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ROLE JUST IN TIME METHOD FOR EFFORTS TO ELIMINATE NON-VALUE ADDED ACTIVITY IN Production Garment COMPANY VOXI 73
2015Co-Authors: Silvana Kantjai, Merinda PandowoAbstract:The concept of cost effectiveness or known as the manufacturing cycle effectiveness (MCE) is the ratio between the processing time to the cycle time.This research is to identify the extent to which the benefits and role of Just In Time (JIT) Method for eliminating all activities or resources that are not value-added and to give an idea of the importance of the implementation of Just In Time for companies to improve efficiency and productivity. This research using a Garment Company "VOXI 73" Pandaan is in JalanJuanda 2 PandaanPasuruan Malang – Surabaya as a object. By using a JIT method this research found that Company make a wasting in several indicator. This is evidenced by the amount of non-value added time which consists of the top set-up time, move time, waiting time, and inspection time in throughput time. After using the JIT system efficiency of processing time becomes 93.93% means non-value added time by only 6.07%. With the efficiency that it creates a huge cost savings.advice to companies, along with the progress of science and technology is so rapid, and the increasing levels of competition among companies that are very tight, so that each managment is required to be able to compete and organize an effective strategy in the global competition. Keywords: just in time, Production, Garment
Abera Kumie - One of the best experts on this subject based on the ideXlab platform.
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Diseases Registered Among Integrated Textile Factory Workers in Ethiopia: A Retrospective Cross-Sectional Study
2020Co-Authors: Yifokire Tefera, Abera Kumie, Wakgari Deressa, Magne Bråtveit, Bente E. MoenAbstract:Abstract Background: Textile and Garment factories are growing in low and middle-income countries; integrated textile and Garment Production factories are developing, where workers are exposed to dust and dangerous, noisy machines in the work environment. Hence, workers' health might be affected negatively due to exposure to different occupational hazards. However, the health condition of workers in this sector is not adequately investigated. The aim of this study is to describe the registered diagnoses of health problems and their association to work-related and personal factors among workers in integrated textile factories in Ethiopia. Methods: A one year recording of worker’s clinical diagnoses (between March 2016 and February 2017) was gathered from the respective factory clinics in three integrated textile factories. Sociodemographic characteristics and work-related information is obtained from the factory’s human resource departments. The association between the registered diagnoses and work-related factors (work in textile Production, Garment Production and support department) and personal factors (age, gender and educational status) were studied using logistic regression analyses.Results: The socio-demographic and clinical diagnosis statuses of 7992 workers are analyzed. The average of workers' age and years of service is 40 years and 11 years, respectively. Majority 4778(60%) of workers are females; a total of 5276 (66%) of workers had 27320 clinical diagnoses; in total this causes 16993 working days lost due to sick leave. Respiratory diseases (34%) and musculoskeletal disorders (29%) were the most prevalent diagnoses, while injuries cause most of the days of work absence. Work department, gender and educational status are the variables that are significantly associated with several disease groups.Conclusions: About two-thirds of the integrated textile factory workers were diagnosed with different types of diseases. The textile and Garment Production department workers were more affected than the support department workers, indicating that some of the diseases are related to work in these departments. Further study should investigate the occurrence of rare chronic diseases such as cancer, heart diseases, renal diseases and diabetics in relation with workers exposure profile.
Wakgari Deressa - One of the best experts on this subject based on the ideXlab platform.
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Diseases Registered Among Integrated Textile Factory Workers in Ethiopia: A Retrospective Cross-Sectional Study
2020Co-Authors: Yifokire Tefera, Abera Kumie, Wakgari Deressa, Magne Bråtveit, Bente E. MoenAbstract:Abstract Background: Textile and Garment factories are growing in low and middle-income countries; integrated textile and Garment Production factories are developing, where workers are exposed to dust and dangerous, noisy machines in the work environment. Hence, workers' health might be affected negatively due to exposure to different occupational hazards. However, the health condition of workers in this sector is not adequately investigated. The aim of this study is to describe the registered diagnoses of health problems and their association to work-related and personal factors among workers in integrated textile factories in Ethiopia. Methods: A one year recording of worker’s clinical diagnoses (between March 2016 and February 2017) was gathered from the respective factory clinics in three integrated textile factories. Sociodemographic characteristics and work-related information is obtained from the factory’s human resource departments. The association between the registered diagnoses and work-related factors (work in textile Production, Garment Production and support department) and personal factors (age, gender and educational status) were studied using logistic regression analyses.Results: The socio-demographic and clinical diagnosis statuses of 7992 workers are analyzed. The average of workers' age and years of service is 40 years and 11 years, respectively. Majority 4778(60%) of workers are females; a total of 5276 (66%) of workers had 27320 clinical diagnoses; in total this causes 16993 working days lost due to sick leave. Respiratory diseases (34%) and musculoskeletal disorders (29%) were the most prevalent diagnoses, while injuries cause most of the days of work absence. Work department, gender and educational status are the variables that are significantly associated with several disease groups.Conclusions: About two-thirds of the integrated textile factory workers were diagnosed with different types of diseases. The textile and Garment Production department workers were more affected than the support department workers, indicating that some of the diseases are related to work in these departments. Further study should investigate the occurrence of rare chronic diseases such as cancer, heart diseases, renal diseases and diabetics in relation with workers exposure profile.
