عنوان مقاله :
ارائه الگويي هوشمند براي مديريت پسماند شهري
عنوان به زبان ديگر :
Provide an intelligent model for municipal waste management
پديد آورندگان :
خسروي مقدم، علي دانشگاه آزاد اسلامي واحد فيروزكوه، ايران , شايان نيا، احمد دانشگاه آزاد اسلامي واحد فيروزكوه - گروه مديريت صنعتي، ايران , موحدي، محمد مهدي دانشگاه آزاد اسلامي واحد فيروزكوه - گروه مديريت صنعتي، ايران , عزيزي، خسرو دانشگاه آزاد اسلامي واحد فيروزكوه - گروه اقتصاد، ايران
كليدواژه :
ﻣﺪﯾﺮﯾﺖ ﭘﺴﻤﺎﻧﺪ , ﺗﻮﻟﯿﺪ ﭘﺴﻤﺎﻧﺪ , اﻟﮕﻮرﯾﺘﻢ ﮐﻮاﻧﺘﻮﻣﯽ
چكيده فارسي :
ﯾﮑﯽ از ﻣﻬﻢ ﺗﺮﯾﻦ راﻫﮑﺎرﻫﺎي ﻣﺪﯾﺮﯾﺖ ﻣﻨﺎﺳﺐ ﭘﺴﻤﺎﻧﺪ ﮐﻪ در ﺣﺎل ﺣﺎﺿﺮ ﺑﻪ ﻋﻨﻮان اوﻟﻮﯾﺖ اول در ﻣﺪﯾﺮﯾﺖ ﭘﺴﻤﺎﻧﺪ ﺷﻬﺮي در ﺑﺴﯿﺎري از ﮐﺸﻮرﻫﺎ در ﮐﺎﻧﻮن ﺗﻮﺟﻪ ﻗﺮار ﮔﺮﻓﺘﻪ اﺳﺖ، ﻣﺪﯾﺮﯾﺖ ﻫﺰﯾﻨﻪ ﻫﺎ و ﺗﻔﮑﯿﮏ و ﺟﺪا ﺳﺎزي ﭘﺴﻤﺎﻧﺪ در ﺟﻬﺖ اﯾﺠﺎد درآﻣﺪ اﺳﺖ. ﺗﺤﻘﯿﻖ ﭘﯿﺶ رو ﺑﺎ اﺳﺘﻔﺎده از آﻣﺎر ﻣﺮﺑﻮط ﺑﻪ ﺟﻤﻌﯿﺖ ﺳﺎﮐﻦ، ﺗﻮﻟﯿﺪ و ﺗﻔﮑﯿﮏ ﭘﺴﻤﺎﻧﺪ و ﺑﻪ ﮐﻤﮏ اﻟﮕﻮرﯾﺘﻢ ﮐﻮاﻧﺘﻮﻣﯽ، ﺑﻪ اراﺋﻪ اﻟﮕﻮﯾﯽ ﺑﺮاي ﻣﺪﯾﺮﯾﺖ ﭘﺴﻤﺎﻧﺪ ﻧﻮاﺣﯽ ﻣﺨﺘﻠﻒ ﻣﻨﻄﻘﻪ 4 ﺗﻬﺮان ﻃﯽ ﻣﺎه ﻫﺎي ﻣﺨﺘﻠﻒ ﺳﺎل ﻫﺎي 96 ﭘﺮداﺧﺘﻪ اﺳﺖ. ﻧﺎﺣﯿﻪ 7 ﺑﺎ ﺑﯿﺶ از 182 ﻫﺰار ﻧﻔﺮ و ﻧﺎﺣﯿﻪ 8 ﺑﺎ ﺑﯿﺶ از 52 ﻫﺰار ﻧﻔﺮ، ﺑﻪ ﺗﺮﺗﯿﺐ ﭘﺮ ﺟﻤﻌﯿﺖ و ﮐﻢ ﺟﻤﻌﯿﺖ ﺗﺮﯾﻦ ﻧﺎﺣﯿﻪ ﻣﻨﻄﻘﻪ 4 ﺑﻪ ﺣﺴﺎب ﻣﯽ آﯾﻨﺪ. ﻧﺎﺣﯿﻪ 7 در ﺳﺎل 96 ﺑﺎ ﺗﻮﻟﯿﺪ ﭘﺴﻤﺎﻧﺪ ﺑﯿﺶ از 4 ﺗﻦ ﺑﯿﺸﺘﺮﯾﻦ ﻣﯿﺰان ﺗﻮﻟﯿﺪ ﭘﺴﻤﺎﻧﺪ را در ﺑﯿﻦ ﻧﻮاﺣﯽ ﻧﻪ ﮔﺎﻧﻪ ﻣﻨﻄﻘﻪ 4 داﺷﺘﻪ اﺳﺖ، ﺑﻪ ﮔﻮﻧﻪ اي ﮐﻪ ﺑﻪ ﺗﻨﻬﺎﯾﯽ ﺑﯿﺶ از 3 ﺑﺮاﺑﺮ ﻧﺎﺣﯿﻪ 9 ﭘﺴﻤﺎﻧﺪ ﺗﻮﻟﯿﺪ ﮐﺮده اﺳﺖ. ﺑﻪ ﻃﻮر ﻣﯿﺎﻧﮕﯿﻦ ﻣﯽ ﺗﻮان ﮔﻔﺖ در ﺳﺎل ﻫﺎي 96 ﺗﻘﺮﯾﺒﺎ 23/15% از ﮐﻞ ﭘﺴﻤﺎﻧﺪ ﻣﻨﻄﻘﻪ 4 ﺷﻬﺮ ﺗﻬﺮان ﺑﻪ ﺻﻮرت ﺗﻔﮑﯿﮏ ﺟﻤﻊ آوري ﺷﺪه اﺳﺖ. در ﻫﻤﯿﻦ ﺳﺎل ﻧﺎﺣﯿﻪ 7 ﺑﺎ 23/73% ﺑﻬﺘﺮﯾﻦ ﻧﺎﺣﯿﻪ و ﻧﺎﺣﯿﻪ 6 ﺑﺎ 15/34 درﺻﺪ ﮐﻢ ﮐﺎرﺗﺮﯾﻦ ﻧﺎﺣﯿﻪ در اﯾﻦ زﻣﯿﻨﻪ ﺑﻮده اﺳﺖ.
چكيده لاتين :
At the end of the 20th century, the trend towards waste management was the turning point of industrial and technological development programs in most countries of the world. The aim of the present research is to provide an intelligent model for waste management in the city of Tehran. The method used in this research is the neural network technique, based on which it is possible to predict waste production in different areas of Tehran. The research method of the current research is descriptive and analytical, and the area under study is Tehran city, and the analysis method is the neural network technique. A neural network with a single hidden layer was used to predict the residual. The sigmoid tangent activation function is used for the hidden layers of the network. Finally, it was concluded that the neural network method for predicting the waste of Tehran city is more efficient compared to other methods including the quantum method in some areas, and at the end practical suggestions were presented.
عنوان نشريه :
جغرافيا (برنامه ريزي منطقه اي)
