scholarly journals Implementation of Heart and Dematel Integration to Steam Boiler Working Process

2021 ◽  
Vol 5 (2) ◽  
pp. 1-17
Author(s):  
Gülin Feryal Can

Human Error Assessment and Reduction Technique (HEART) is a practical and powerful approach to prioritize errors related to human actions, based on probabilities. HEART can determine error producing conditions (EPCs) which cause human errors for different processes including main duties (MDs) and sub-duties (SDs). HEART can be applied quickly for any process where human reliability is important. In this study, HEART and advanced version of Decision Making Trial and Evaluation Laboratory (AV-DEMATEL) integration proposed by Can and Delice in 2018 was performed for evaluating human related errors in steam boiler working process. In this way, the interactions between MDs, SDs and EPCs in a steam boiler working process were considered to compute process error probability (PEP). Additionally, the applicability of the proposed approach by Can and Delice (2018) was demonstrated again.

Author(s):  
Dini Wahyuni ◽  
Yuli Santa Elisa Bagariang

Kesuksesan usaha mikro kecil menengah dipengaruhi oleh kegiatan-kegiatan supply chain sehingga harus terjalin hubungan baik di dalamnya. Peran manusia sebagai tenaga kerja pada usaha mikro kecil menengah dominan mempengaruhi kualitas produk yang dihasilkan, karena operator memiliki peluang melakukan kesalahan. Penelitian ini bertujuan menganalisis human error pada rantai pasok UMKM makanan di kota Medan dengan adopsi model SCOR (Supply Chain Operations Reference). Metode HEART (Human Error Assessment and Reduction Technique) digunakan untuk mengetahui human error dan tingkat probabilitas human error pada UMKM makanan. Berdasarkan hasil perhitungan nilai assessed effect (AE) diperoleh total AE terbesar pada proses make dengan nilai sebesar 58,69. Human Error Probability (HEP) terbesar terdapat pada proses pengisian adonan dengan varian rasa yang diinginkan oleh konsumen, dengan nilai Human Error Probability (HEP) sebesar 5,282. Dari hasil penelitian dapat menjadi acuan menyusun rencana perbaikan agar human error dapat tereduksi.   The success of micro, small and medium enterprises is influenced by supply chain activities, so there must be a good relationship within it. The role of humans as workers in micro, small and medium businesses predominantly affects the quality of the products produced, because operators have the opportunity to make mistakes. This study aims to analyze human error in the food MSME supply chain in Medan by adopting the SCOR (Supply Chain Operations Reference) model. The HEART (Human Error Assessment and Reduction Technique) method is used to determine human error and the level of human error probability at food MSMEs. Based on the calculation of the assessed effect (AE) value, the largest total AE was obtained in the make process with a value of 58.69. The biggest Human Error Probability (HEP) is in the process of filling the dough with the flavor variants desired by consumers, with a value of Human Error Probability (HEP) of 5.282. From the results of the study can be a reference to draw up plans for improvement so that human error can be reduced.


Author(s):  
Zeinab Alsadat Nezamodini ◽  
Behnoush Jafari ◽  
Seyd Amin Jazayeri

Introduction: Studies in the field of industrial accidents show that human errors have the most important and main role in the occurrence of accidents. According to the literature, 60 to 90% of accidents occur due to the human errors and mistakes. Therefore, in this study, human errors among overhead cranes' operators working in steel industry were identified and analyzed by Human Error Assessment and Reduction Technique (HEART). Methods and Materials: This cross-sectional study examined the operators of overhead cranes in a steel industry in Khuzestan for 5 months. In this study, the tasks of the operators of 18 cabin control overhead cranes were analyzed by HTA method. Later, using the HEART method, the probability of human error for each task was calculated quantitatively. Results: The results showed that the most important contributors to human error in both types of cabin and pendant overhead cranes included failure to understand the risk, the operators' inadequate physical and mental conditions, and disruption of the normal sleep cycle.   Conclusion: Based on the results, it can be concluded that the HEART method was successful in ranking tasks due to the magnitude probability of errors. In order to reduce human error, the authorities are recommended to improve the employees' performance, prevent error caused by human factors, control strategies such as proper working guidelines, improve the quality of staff training, emphasize compliance with rules and regulations, plan regular work shifts, and develop programs to reduce the stress probability of error.


2020 ◽  
Vol 5 (2) ◽  
pp. 62-69
Author(s):  
Mitasya Susilo

Traffic accidents, especially with a large capacity such as bus, can be caused by several factors. According to the Indonesian Directorate General of Land Transportation of the Ministry of Transportation in 2012, the factors causing traffic accidents in Indonesia are a human factor of 93.52%, vehicle factor by 2.76%, road factor 3.23%, and environmental factor by 0.49%. Therefore, research is needed to identify which human error has the greatest probability of accident cause using Systematic Human Error Reduction and Prediction Approach (SHERPA) method to identify job desk using Hierarchical Task Analysis (HTA) and Human Error Assessment Reduction Technique (HEART) method to calculate Human Error Probability (HEP). Based on the calculation of Human Error Probability value known the highest HEP value is not running the vehicle in accordance with the provisions of the speed that has been set with 0.375. Next is not to record or forget to record the damage that occurred during the trip with a value of 0.21. It did not check Bus equipment with a HEP value of 0.19, did not report when there was a problem on the street with a HEP value of 0.18 and did not break for the next preparation for departure with a HEP value of 0.15


2018 ◽  
Vol 874 ◽  
pp. 199-206 ◽  
Author(s):  
Ludfi Pratiwi Bowo ◽  
Masao Furusho

Human factors is playing an important role in every accident, particularly marine accidents. Hence, a lot of researches were conducted to analyze the human factors involvement in the accidents. Since the development of marine industry shows progressively increasing nowadays, especially in Indonesia, as Indonesia vision to be a global maritime axis of the world for marine industry, the awareness of safety life at sea has to be increase as well. Human reliability analysis (HRA) consist of many methodologies to analyze the accidents, the basic steps of HRA is qualitative method and quantitative method, one of the HRA methodology is Human Error Assessment and Reduction Technique (HEART) methodology which has been established in 1982 to assess nuclear power plant. HEART methodology is applied in this study to analyze the cause of marine accidents by human factors. The aims of this study are to know the main cause of accidents by human factors, to increase the awareness of safety at sea especially, and furthermore to improve the quality of ergonomics at sea. There are 93 EPC which discovered in this study for analyzing marine accidents in Indonesia.


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