ارزﯾﺎﺑﯽ ﮐﺎراﯾﯽ واﺣﺪﻫﺎي ﺗﺼﻤﯿﻢﮔﯿﺮﻧﺪه ﺑﺎ ﻣﺪل ﮐﻼﺳﯿﮏ و ﺑﺮﻧﺎﻣﻪ رﯾﺰي آرﻣﺎﻧﯽ ﺗﺤﻠﯿﻞ ﭘﻮﺷﺸﯽ دادهﻫﺎ و ارﺗﺒﺎطﺳﻨﺠﯽ ﺧﺮوﺟﯽﻫﺎ ﺑﺎ روشﻫﺎي آﻣﺎري در ﺑﺎﻧﮏ ﻗﻮاﻣﯿﻦ

Evaluate the efficiency of decision making units with classical model and goal programming data envelopment analysis and output correlation with statistical methods in Ghavamin Bank.

ﻫﺪف: ﻫﺪف اﯾﻦ ﻣﻄﺎﻟﻌﻪ ﺗﻌﯿﯿﻦ و ارزﯾﺎ ﺑﯽ ﮐﺎراﯾﯽ واﺣﺪﻫ ﺎي ﺗﺼﻤﯿﻢ ﮔﯿﺮﻧﺪه ﺑﺎ ﻣﺪل ﮐﻼﺳﯿﮏ و ﺑﺮﻧﺎﻣﻪرﯾﺰي آرﻣﺎ ﻧﯽ ﺗﺤﻠﯿﻞ ﭘﻮﺷﺸ ﯽ داده ﻫﺎ و ارﺗﺒﺎط ﺳﻨﺠﯽ ﺧﺮوﺟﯽﻫﺎ ﺑﺎ روشﻫﺎي آﻣﺎري در ﺑﺎﻧﮏ ﻗﻮاﻣﯿﻦ ﻣﯽﺑﺎﺷﺪ. روش: در اﯾﻦ ﻣﻘﺎﻟﻪ ﺑﺮاي ﺗﻌﯿﯿﻦ ﮐﺎراﯾﯽ ﻣﺪﯾﺮﯾﺖ ﺷﻌﺐ اﺳﺘﺎنﻫﺎ در ﺑﺎﻧﮏ ﻗﻮاﻣﯿﻦ ﻣﺪل ﺗﺤﻠﯿﻞ ﭘﻮﺷﺸﯽ داده ﻫﺎ ﺑﺮﻣﺒﻨﺎي BCC ﺧﺮوﺟﯽ ﻣﺤﻮر ﻣﻮرد اﺳﺘﻔﺎده ﻗﺮارﮔﺮﻓﺖ. ﻫﻤﭽﻨﯿﻦ ﺑﺮاي ﺑﺎﻻﺑﺮدن ﻗﺪرت ﺗﻔﮑﯿﮏ ﭘﺬﯾﺮي واﺣﺪ ﻫﺎي ﺗﺼﻤﯿﻢ ﮔﯿﺮﻧﺪه ﮐﺎرا از ﻧﺎﮐﺎرا اﺑﺘﺪا ﻣﺪل ﻫﺎي ﭘﯿﺶ ﻓﺮض ﻣﺪل ﺑﺮﻧﺎﻣﻪرﯾﺰي آرﻣﺎ ﻧﯽ ﺗﺤﻠﯿﻞ ﭘﻮﺷﺸﯽ داده ﻫﺎ ﻣﻮرد ﺑﺮرﺳﯽ ﻗﺮار ﮔﺮﻓﺘﻪ، ﺳﭙﺲ ﺧﺮوﺟﯽ ﻣﺪلﻫﺎي ﭘﯿﺶ ﻓﺮض ﺑﻌﻨﻮان ﺑﺨﺸﯽ از ورودي ﻣﺪل ﺑﺮﻧﺎﻣﻪرﯾﺰي آرﻣﺎ ﻧﯽ ﺗﺤﻠﯿﻞ ﭘﻮﺷﺸﯽ داده ﻫﺎ ﻣﻮرد اﺳﺘﻔﺎده ﻗﺮار ﮔﺮﻓﺖ و در اﻧﺘﻬﺎ ﺑﺮاي ﺳﻨﺠﺶ ﻫﻤﺒﺴﺘﮕﯽ ﻣﺪل ﮐﻼﺳﯿﮏ ﺑﺎ ﻣﺪل ﺑﺮﻧﺎﻣﻪرﯾﺰي آرﻣﺎ ﻧﯽ در ﺧﺮوﺟﯽ ﻫﺎ از ﺿﺮﯾﺐ ﻫﻤﺒﺴﺘﮕﯽ ﭘﯿﺮﺳﻮن اﺳﺘﻔﺎده ﺷﺪ. ﯾﺎﻓﺘﻪﻫﺎ: ﺑﺮ اﺳﺎس ﻣﻘﺎدﯾﺮ ﺧﺮوﺟﯽ ﻣﺪل BCC ﺧﺮوﺟﯽ ﻣﺤﻮر ﺗﻤﺎﻣ ﯽ واﺣﺪ ﻫﺎي ﺗﺼﻤﯿﻢ ﮔﯿﺮﻧﺪه ﮐﺎرا ﺑﻮده و ﻣﻘﺪار ﮐﺎراﯾﯽ آﻧﻬﺎ ﺑﺮاﺑﺮ ﯾﮏ ﺷﺪ، ﺳﭙﺲ ﺑﺮاي ﺗﻔﮑﯿﮏﭘﺬﯾﺮي ﺑ ﯿﺸﺘﺮ از ﻣﺪل ﺑﺮﻧﺎﻣﻪرﯾﺰي آرﻣﺎ ﻧﯽ ﺗﺤﻠﯿﻞ ﭘﻮﺷﺸﯽ داده ﻫﺎ اﺳﺘﻔﺎده ﺷﺪ، ﻧﺘﺎﯾﺞ آن ﻧﺸﺎن داد ﮐﻪ از ﺑﯿﻦ 32واﺣﺪ ﺗﺼﻤﯿﻢﮔﯿﺮﻧﺪه 21واﺣﺪ ﮐﺎرا و ﺑﻘﯿﻪ ﻧﺎﮐﺎرا ﻣﯽ ﺑﺎﺷﻨﺪ. ﻫﻤﭽﻨﯿﻦ ﻧﺘﺎﯾﺞ ﻧﺸﺎن داد ﮐﻪ ﺑﯿﻦ ﻣﺪل ﮐﻼﺳﯿﮏ ﺑﺎ ﻣﺪل ﺑﺮﻧﺎﻣﻪرﯾﺰي آرﻣﺎ ﻧﯽ ﻫﻤﺒﺴﺘﮕﯽ ﻣﻌﻨﯽ دار ي وﺟﻮد دارد. ﻧﺘﯿﺠﻪﮔﯿﺮي: ﻧﺘﺎﯾﺞ ﻧﺸﺎن داد ﮐﻪ ﻣﺪل ﺑﺮﻧﺎﻣﻪرﯾﺰي آرﻣﺎ ﻧﯽ ﺗﺤﻠﯿﻞ ﭘﻮﺷﺸﯽ داده ﻫﺎ در ﺗﻔﮑﯿﮏ واﺣﺪﻫ ﺎي ﺗﺼﻤﯿﻢ ﮔﯿﺮﻧﺪه ﮐﺎرا از ﻧﺎﮐﺎرا، داراي ﻗﺪرت ﺗﻔﮑ ﯿﮏﭘﺬﯾﺮي ﺑﺎﻻﺗﺮي ﻧﺴﺒﺖ ﺑﻪ ﻣﺪل BCCﺧﺮوﺟ ﯽ ﻣﺤﻮر ﻣﯽ ﺑﺎﺷﺪ.

Objective: The purpose of this study was to determine and evaluate the efficiency of decision making units with classical model and goal programming data envelopment analysis and output correlation with statistical methods in Ghavamin Bank. Methods: In this paper, data envelopment analysis model based on output- oriented BCC was used to determine the efficiency of provincial branch management in the Ghavamin Bank. As well as to increase the discrimination power of decision-making units more efficient from the inefficient, first models of the default goal programming data envelopment analysis model was examined, then the output models of default as part of the input goal programming data envelopment analysis model was used. Finally, Pearson correlation coefficient was used to evaluate the correlation between the classical model and goal programming model in the outputs. Results: According to output amounts output- oriented BCC model all of decision-making units is efficient and value their efficiency is equal to one, then to discriminate higher than the goal programming data envelopment analysis model was used, the results showed that the 32 management 21 units are efficient and the rest are inefficient. The results also showed that there is a significant correlation between the classical model and the goal programming model. Conclusion: The results showed that goal programming data envelopment analysis model in discriminating efficient decision making units from inefficient has higher discrimination power than output- oriented BCC model