Duygu İNCİ, Pırıl ERGÖNENÇ, Mürüvvet Deniz SEZER, Bengü GÜNGÖR

Cornell Kas-İskelet Rahatsızlık Anketi ve Lojistik Regresyon Kullanarak Kas-İskelet Rahatsızlıkları Kaynaklı Üretim Çalışanı Devamsızlıklarının Azaltılması

Günümüzde, aşırı yüklenmiş işgücüne bağlı olarak çalışma ortamında insan motivasyonunu ve sağlığını etkileyebilecek zorluklar gitgide artmaktadır. Artan rekabet ortamının beraberinde getirdiği yoğun üretim faaliyetleri, özellikle üretim çalışanlarında kas-iskelet sistemi rahatsızlıklarının daha fazla meydana gelmesine neden olmaktadır. Bu nedenle, bu çalışma kapsamında otomotiv endüstrisinde faaliyet gösteren bir yan sanayi kuruluşunda talaşlı üretim sırasında meydana gelen kas-iskelet sistemi kaynaklı işe devamsızlıkların azaltılması için ergonomi analizi çalışması yapılması hedeflenmiştir. İlk olarak, ergonomik olmayan çalışma koşulları firma içindeki proje ekibi çalışanlarının katıldığı çalıştay sonucunda belirlenmiştir. Belirlenen bu koşullar, yapılacak olan analizin bağımsız değişkenlerini olarak tanımlanmıştır. Bağımlı değişken olarak adlandırılan bölgesel ağrı durumu üzerinde bağımsız değişkenlerin etkisinin analizi için veri toplama aracı olarak Cornell Üniversitesi tarafından geliştirilen “Kas-İskelet Sistemi Rahatsızlık Anketi” kullanılmıştır. Veri analizi kısmında ise, bağımsız değişkenlerin bölgesel ağrı durumu üzerindeki etkileri Lojistik Regresyon Analizi ile IBM SPSS Statistics 25.0 programı aracılığıyla gözlemlenmiştir. İstatistiksel analizden sonra, analiz çıktılarının validasyonu firmanın ilgili ekibinde yer alan çalışanların görüşleri alınarak sağlanmıştır. Çalışmanın uygulama aşamasında firma, üretim çalışanlarının kas-iskelet sistemi kaynaklı devamsızlıklarında karşı önlemler alarak düşüş sağlamayı hedeflemektedir.

Anahtar Kelimeler:

Cornell Kas-İskelet Rahatsızlık Anketi, Ergonomi analizi, Kas-İskelet rahatsızlıkları, Lojistik Regresyon Analizi, Otomotiv endüstrisi

Reducing the Musculoskeletal Disorders-induced Production Employee Absenteeism Through the Cornell Musculoskeletal Discomfort Questionnaire and Ordinal Logistic Regression Model

Today, the overworked workforce situation is getting more prevalent that may result in impair human motivation and health in the workplace. Increased musculoskeletal disorders, especially among production employees, are caused by increased production activities brought on by a more competitive economy. Therefore, the aim of this study is to conduct an ergonomics analysis in order to reduce absenteeism caused by musculoskeletal system disorders during machining in an automotive sub-industrial company. As a consequence of the workshop attended by the relevant project team workers within the company, non-ergonomic working conditions were determined at first. These defined conditions were also specified as the independent variables for the analysis section. The "Musculoskeletal Discomfort Questionnaire," developed by Cornell University, was employed as a data collecting method for the investigation of the effect of independent variables on the dependent variable, local pain status. The effects of independent variables on local pain status were analysed using Logistic Regression Analysis via the IBM SPSS Statistics 25.0 program. Following the statistical examination, the analytical outputs were validated by expert feedback with the company's relevant team workers. In the implementation phase, the company aims to reduce production employee absenteeism due to the musculoskeletal system disorders by taking precautions.

Keywords:

Automotive industry, Cornell Musculoskeletal Discomfort Questionnaire, Ergonomics analysis, Logistic Regression Analysis, Musculoskeletal disorders,

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