ارزیابی و بهبود قابلیت اطمینان انسانی در بهره برداری از سامانه های راداری برد کوتاه و متوسط به روش فازی Cream

اﻣﺮوزه ﺑﺮرﺳﯽ ﻫﺎ ﻧﺸﺎن ﻣﯽ دﻫﺪ ﮐﻪ ﯾﮑﯽ از اﺻﻠﯽ ﺗﺮﯾﻦ و ﻣﻬﻢ ﺗﺮﯾﻦ ﻋﻠﻞ ﺑﺮوز ﺣﻮادث در ﺣﯿﻦ ﻋﻤﻠﮑﺮد ﺳﺎﻣﺎﻧﻪ ﻫﺎی ﭘﯿﭽﯿﺪه، ﻋﻮاﻣﻞ اﻧﺴﺎﻧﯽ ﻫﺴﺘﻨﺪ. ﻫﺪف از اﻧﺠﺎم اﯾﻦ ﭘﮋوﻫﺶ، ﺗﻮﺳﻌﻪ ﻣﺪل ﻓﺎزی ﺑﻪ ﻣﻨﻈﻮر ارزﯾﺎﺑﯽ ﻗﺎﺑﻠﯿﺖ اﻃﻤﯿﻨﺎن اﻧﺴﺎﻧﯽ در ﺳﺎﻣﺎﻧﻪ ﻫﺎی ﺑﺴﯿﺎر ﺣﺴﺎس و ﻣﺘﺄﺛﺮ از ﻋﻤﻠﮑﺮد اﻧﺴﺎن ﯾﻌﻨﯽ رادارﻫﺎی ﺑﺮد ﮐﻮﺗﺎه و ﻣﺘﻮﺳﻂ اﺳﺖ. روش ﻣﻮرد اﺳﺘﻔﺎده در اﯾﻦ ﺗﺤﻘﯿﻖ، روش creamﯾﺎ ﻗﺎﺑﻠﯿﺖ اﻃﻤﯿﻨﺎن ﺷﻨﺎﺧﺘﯽ و ﺗﺠﺰﯾﻪ وﺗﺤﻠﯿﻞ ﺧﻄﺎ اﺳﺖ .در اﯾﻦ ﭘﮋوﻫﺶ ﺳﻌﯽ ﺑﺮ آن اﺳﺖ ﺗﺎ ﺑﻪ ارزﯾﺎﺑﯽ ﻗﺎﺑﻠﯿﺖ اﻃﻤﯿﻨﺎن اﻧﺴﺎﻧﯽ ﭘﮋوﻫﺶ از ﻃﺮﯾﻖ ﭘﺮﺳﺸﻨﺎﻣﻪ ﭘﺮداﺧﺘﻪ ﺷﻮد. ﭘﺲ از ﺟﻤﻊ آوری اﻃﻼﻋﺎت ﭘﺮﺳﺸﻨﺎﻣﻪ ﻫﺎ و ﻣﺸﻮرت و ﻧﻈﺮﺧﻮاﻫﯽ از ﻣﺘﺨﺼﺼﯿﻦ، آﻧﺎﻟﯿﺰ وﻃﺎﯾﻒ ﺷﻐﻠﯽ و ﻫﻤﯿﻨﻄﻮر ﮔﺮاف ارﺗﺒﺎﻃﺎت آﻧﻬﺎ رﺳﻢ ﻣﯽ ﺷﻮد، ﺳﭙﺲ ﺟﺪول ارزﯾﺎﺑﯽ ﺷﺮاﯾﻂ ﮐﺎری اﺛﺮﮔﺬار ﺑﺮ ﻋﻤﻠﮑﺮد ﺗﺸﮑﯿﻞ ﻣﯽ ﺷﻮد، و ﺑﺎ اﺳﺘﻔﺎده از روش ahp ﻓﺎزی، ﻧﻤﻮدار ﺳﻠﺴﻠﻪ ﻣﺮاﺗﺒﯽ و ﺷﺎﺧﺺ ﻫﺎی ﮐﯿﻔﯽ ﭘﺮﺳﺸﻨﺎﻣﻪ ﻫﺎ ﺑﻪ ﻣﻘﺎدﯾﺮ ﮐﻤﯽ ﺗﺒﺪﯾﻞ ﻣﯽ ﺷﻮﻧﺪ. اﯾﻦ اﻃﻼﻋﺎت وارد ﻧﺮم اﻓﺰار excel ﻣﯽ ﺷﻮد و ﺑﻪ ﻫﻤﯿﻦ ﺗﺮﺗﯿﺐ ﻣﺎﺗﺮﯾﺲ ﻣﻘﺎﯾﺴﺎت زوﺟﯽ، ﻣﺎﺗﺮﯾﺲ ﻣﻘﺎﯾﺴﺎت زوﺟﯽ ﻧﺮﻣﺎﻟﯿﺰه، ﻣﺠﻤﻮع ﺑﺮدار وزﻧﯽ ﺗﺸﮑﯿﻞ و ﺳﭙﺲ ﺑﺮدار ﺳﺎزﮔﺎری، ﺷﺎﺧﺺ ﺳﺎزﮔﺎری و ﻧﺴﺒﺖ ﺳﺎزﮔﺎری ﻣﺤﺎﺳﺒﻪ ﺷﺪه اﻧﺪ و ﺑﺪﯾﻦ وﺳﯿﻠﻪ اوﻟﻮﯾﺖ ﺑﻨﺪی ﻓﺎﮐﺘﻮرﻫﺎ اﻧﺠﺎم ﻣﯽ ﮔﺮدد. ﺑﺮای ﻫﺮ وﻇﯿﻔﻪ ﺷﻐﻠﯽ، ﺳﺒﮏ ﮐﻨﺘﺮﻟﯽ ﻣﺸﺨﺺ و اﺣﺘﻤﺎل ﺧﻄﺎی ﺷﻨﺎﺧﺘﯽ ﻫﺮﮐﺪام ﻣﺤﺎﺳﺒﻪ ﺷﺪه اﺳﺖ. ﻧﺘﯿﺠﻪ ﻣﻄﺎﻟﻌﺎت ﻧﺸﺎن ﻣﯽ دﻫﺪ ﮐﻪ ﻫﺮ ﮐﺪام از روش ﻫﺎی ﻓﺎزی و ﺑﯿﺰﯾﻦ در ارزﯾﺎﺑﯽ و ﺑﻬﺒﻮد ﻗﺎﺑﻠﯿﺖ اﻃﻤﯿﻨﺎن اﻧﺴﺎﻧﯽ ﻣﺆﺛﺮ ﻫﺴﺘﻨﺪ. اﻣﺎ ﺑﻪ ﻋﻨﻮان ﻧﺘﯿﺠﻪ ﻧﻬﺎﯾﯽ، اﺳﺘﻔﺎده از روش cream ﻧﺘﺎﯾﺞ ﮐﺎرﺑﺮدی ﺗﺮی دارد ﻧﺘﺎﯾﺞ ﻣﻄﺎﻟﻌﺎت در اﯾﻦ ﻣﻘﺎﻟﻪ ﺣﺎﮐﯽ از آن اﺳﺖ در ﺑﯿﻦ وﻇﺎﯾﻒ ﺷﻐﻠﯽ، ﻓﺎﮐﺘﻮر آﻣﺎده ﺳﺎزی ﺑﺨﺶ ﻫﺎی ﻣﮑﺎﻧﯿﮑﯽ دارای ﺑﯿﺸﺘﺮﯾﻦ ﻣﯿﺰان اﺣﺘﻤﺎل رخ داد ﺧﻄﺎ اﺳﺖ و ﻣﯽ ﺑﺎﯾﺴﺖ ﺑﺮ روی ﺑﻬﺒﻮد اﯾﻦ ﻓﺎﮐﺘﻮر ﻣﻬﻢ، ﺑﯿﺸﺘﺮ ﺗﻤﺮﮐﺰ ﮐﺮد.

Evaluation and improvement of human reliability capabilities in using short and medium range radar system by CREAM fuzzy method

Human reliability is an important issue that is evaluated in order to prevent catastrophic events in high technology industries. The purpose of this study was to evaluate human reliability by CREAM fuzzy method in short and medium range radar systems, which ultimately led to the study of human reliability and the probability of error in each of the effective factors. Then the method of hierarchical analysis, pairwise comparisons, calculation of weights and system compatibility, matrix of pairwise comparisons and control style, and ranking were performed. After collecting information from questionnaires and consulting experts, job analysis was performed by hierarchical analysis (HTA). Then the table of working conditions affecting the operator’s performance (CPC) was drawn, and working conditions affecting the user’s performance were presented using the table of CPCs. In the next step, the fuzzy AHP method was investigated , after calculating the pairwise comparison matrices, control styles were determined. At the end of the work, the factors causing the error along with the amount of human reliability and the probability of error in each factor were identified. The results indicated that human reliability is significantly improved. Based on the findings of the study, determining the contribution of various factors influencing human error, provide a more effective assessment. Among the job tasks, the factor of &preparation of mechanical parts& with a probability of 0.416 has the highest probability of error and should focus more on this factor.