scholarly journals Usulan Perbaikan Sistem Kerja Pada Proses Produksi Crumb Rubber Menggunakan Metode SHERPA Di PT. Riau Crumb Rubber Factory

2016 ◽  
Vol 2 (1) ◽  
pp. 62
Author(s):  
Ismu Kusumanto
Keyword(s):  
Human Error ◽  
Crumb Rubber ◽  
Error Reduction ◽  
Metal Detector ◽  
Work In Process ◽  
Set Up ◽  
Prediction Approach

Penelitian ini dilakukan di PT. Riau Crumb Rubber Factory adalah perusahaan yang bergerak dalam pengolahan karet mentah menjadi barang setengah jadi (work in process) yang kemudian diekspor ke luar negeri. Jenis produk yang dihasilkan yaitu crumb rubber SIR-10 dan SIR-20 (Standart Indonesia Rubber). Salah satu potensi terjadinya human error yang teridentifikasi tersebut identifikasi jenis dan kejadian kesalahan kerja operator di stasiun proses kerja blower, press, metal detector dan packing. Metode yang digunakan adalah Systematic Human Error Reduction and Prediction Approach (SHERPA) Berdasarkan hasil identifikasi tersebut selanjutnya ditelusuri penyebab terjadinya kesalahan untuk ditentukan pendekatan guna mengurangi kejadian kesalahan kerja operator. Dari hasil pengolahan data potensi terjadinya human error diakibatkan karena operator menjatuhkan balok karet, operator lupa memeriksa dan operator tidak memperhatikan set-up mesin. Terdapat 11 deskripsi error dari 27 task, prediksi error yang mungkin terjadi sesuai dengan HTA dari hasil SHERPA berupa strategi perbaikan untuk meminimasi potensi terjadinya error agar dapat mengurangi resiko kesalahan. Terdapat dua macam usulan perbaikan yaitu dengan menggunakan form checklist dan SOP penggunaan mesin.

scholarly journals Investigation of Human Errors in Emergency Department of Imam Khomeini Hospital Emergency Department of Jiroft Using Systematic Human Error Reduction and Prediction Approach

2021 ◽  
Author(s):  
Reza JAFARI NODOUSHAN ◽  
Khalil TAHERZADEH CHENANI ◽  
Mehdi NAKHAEE NEZHAD ◽  
Sepideh SHAHSAVARI
Keyword(s):  
Emergency Department ◽  
Human Error ◽  
Error Reduction ◽  
High Concentration ◽  
Emergency Nurses ◽  
Cross Sectional ◽  
Human Errors ◽  
Medical Careers ◽  
Prediction Approach ◽  
Action Errors

Introduction: In examining the unfortunate events that have taken place in the industrial and health sectors, human error is considered as the main cause of these events. Given the sensitivity and importance of medical careers, the occurrence of errors can lead to irreparable consequences. The purpose of this study was to investigate the human error in the emergency department of Imam Khomeini Hospital in Jiroft. Methods: This study was a cross-sectional and descriptive one. Emergency nurses' job duties have been analyzed by interviewing emergency nurses and studying nursing job guidelines and procedures using hierarchical task analysis. Finally, using the Systematic Human Error Reduction and Prediction Approach, human errors in nursing care were analyzed. Results: Generally, 4 tasks, 18 sub-tasks and 91 types of errors related to nursing activities were identified. Number of errors found, 27 (30%) Action errors, 18 (20%) Checking errors, 19 (21%) Retrieval errors, 12 (13%) communication errors, and 15 (16%) selection errors Were. As can be seen, the largest number of errors was related to the type of Action errors. Conclusion: Considering the results of the present study, the highest numbers of errors were related to Action and Checking errors respectively, which due to the sensitivity of nursing jobs and especially in the emergency department, require the use of highly skilled people to perform tasks that require high concentration and accuracy.

scholarly journals Cuantificación del error humano en la cadena de suministro: caso de estudio en los servicios de transporte terrestre

2020 ◽  
Vol 19 (4) ◽  
pp. 287-300
Author(s):  
Luis A. Saavedra-Robinson ◽  
Sergio Páez-Sarmiento ◽  
Jhon F Ramírez
Keyword(s):  
Human Error ◽  
Error Reduction ◽  
Index Method ◽  
Prediction Approach

Esta investigación presenta un acercamiento desde la ergonomía cognitiva en la determinación del error humano en el sector logístico, particularmente para el caso del transporte terrestre de carga. Para ello se aplicaron los métodos de Systematic Human Error Reduction and Prediction Approach –SHERPA y Success Likelihood Index Method –SLIM en tres empresas participantes del estudio. Se identificaron errores en la generación del costo del servicio (T1), en el ingreso de datos del servicio (T2), en la notificación a los clientes de las novedades del servicio (T3) y en la preparación de la documentación para los conductores (T4). Se cuantificaron los errores cuya probabilidad de ocurrencia oscilaron entre un 24,8% y 34,2%. Sedeterminó la fiabilidad de cada error como un sistema independiente, en cuyo caso el resultado arrojado para las tareas T1, T2 y T3 fue del 80% y del 75% para T4.

scholarly journals Analyzing Human Error in Municipal Water Systems Using Systematic Human Error Reduction and Prediction Approach SHERPA Method

2017 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Behzad Fouladi Dehaghi ◽  
Ali Rastin ◽  
Maryam Malekzadeh ◽  
Leila Ibrarahimi Ghavamabadi
Keyword(s):  
Human Error ◽  
Water Systems ◽  
Error Reduction ◽  
Municipal Water ◽  
Prediction Approach

Systematic Human Error Reduction and Prediction Approach while Drilling

2014 ◽  
Author(s):  
Anamitra Munsi ◽  
M. Imtiaz ◽  
Sanchita Dei ◽  
Dewarshi Nayan
Keyword(s):  
Human Error ◽  
Error Reduction ◽  
Prediction Approach
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