Tekstil sektöründe risk değerlendirmelerinin ANP yöntemi ile analizi
Date
2022-05-05
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Bursa Uludağ Üniversitesi
Abstract
Her sektörün kendine özgü, içinde barındırdığı riskleri ve tehlikeleri olduğu gibi, tekstil sektöründe de iş sağlığı ve güvenliği açısından birçok risk ve tehlike bulunmaktadır. Bu risk ve tehlikelerin iyi şekilde analiz edilmesi, alınacak önlemlerin doğru ve hızlı tespiti ile meydana gelebilecek birçok iş kazasının önüne geçilebilmektedir. Bu çalışmada, Bursa’da faaliyet gösteren bir tekstil firmasına ait mevcut risk değerlendirme formları incelenmiştir. Yapılan analizler sonucunda mevcut risklere ait tehlikeler 8 ana kriter ve 55 alt kriter olarak sınıflandırılmıştır. Bu kriterlerin iç ve dış bağımlılıklarını belirlemek amacıyla çok kriterli karar verme yöntemlerinden ANP metoduna başvurulmuştur. ANP sayesinde ana kriterlere ve alt kriterlere ait ağırlıklandırmalar elde edilmiştir. Bu sayede en öncelikli tehlikenin bulunduğu ana kriter ‘makine, iş ekipmanı ve el aletleri’ kriteri olarak belirlenmiştir. Bu ana kriterin sahip olduğu en öncelikli alt kriter ise hareketli-döner aksam olarak bulunmuştur. Her alt kriterin farklı ana kriter içindeki alt kriterlerle olan karşılaştırmaları sonucunda ise en öncelikli alt kriter elektrik çarpması olarak belirlenmiştir.
As each sector and industry has its own risks and hazards in terms of occupational health and safety, many of these can also be found in the textile industry. A good analysis of these risks and hazards, the correct and quick determination of the precautions to be taken can prevent many occupational accidents that may occur. In this study, the current risk assessment forms of a textile company operating in Bursa were examined. As the result of these analyzes made, the hazards of the current risks were classified into 8 main criteria and 55 sub-criteria. In order to determine the internal and external dependencies of these criteria, the ANP method, one of the multi-criteria decision making methods, was used. Thanks to the ANP, weightings of the main criteria and sub-criteria were obtained. In this way, the main criterion with the highest priority hazard has been determined as the criterion of machinery, working equipment and hand tools. The moving rotating part was found as the most prioritized sub-criterion of this main criterion. As a result of the comparisons of each sub-criterion with the sub-criteria in different main criteria, the most priority sub-criterion was determined as electric shock.
As each sector and industry has its own risks and hazards in terms of occupational health and safety, many of these can also be found in the textile industry. A good analysis of these risks and hazards, the correct and quick determination of the precautions to be taken can prevent many occupational accidents that may occur. In this study, the current risk assessment forms of a textile company operating in Bursa were examined. As the result of these analyzes made, the hazards of the current risks were classified into 8 main criteria and 55 sub-criteria. In order to determine the internal and external dependencies of these criteria, the ANP method, one of the multi-criteria decision making methods, was used. Thanks to the ANP, weightings of the main criteria and sub-criteria were obtained. In this way, the main criterion with the highest priority hazard has been determined as the criterion of machinery, working equipment and hand tools. The moving rotating part was found as the most prioritized sub-criterion of this main criterion. As a result of the comparisons of each sub-criterion with the sub-criteria in different main criteria, the most priority sub-criterion was determined as electric shock.
Description
Keywords
Risk analizi, ANP yöntemi, Tekstil sektörü, İş sağlığı ve güvenliği, Risk analysis, ANP method, Textile industry, Occupational health and safety
Citation
Çat, F. vd. (2022). ''Tekstil sektöründe risk değerlendirmelerinin ANP yöntemi ile analizi''. Uludağ Üniversitesi Mühendislik Dergisi, 27(2), 597-616.