ارزیابی و اولویت بندی گازهای آلاینده کارخانه سیمان بر اساس مدلهای FDH و CRA
محورهای موضوعی : آمار
فاطمه دادخواه
1
,
محمدرضا مظفری
2
,
جواد گرامی
3
1 - گروه ریاضی، واحد مرودشت، دانشگاه آزاد اسلامی، مرودشت، ایران
2 - گروه ریاضی، واحد شیراز، دانشگاه آزاد اسلامی، شیراز، ایران
3 - گروه ریاضی، واحد شیراز، دانشگاه آزاد اسلامی، شیراز، ایران
کلید واژه: Central resource allocation, Free disposal hull, Data Envelopment Analysis, TOPSIS,
چکیده مقاله :
در بسیاری از کشورها کنترل و کاهش میزان آلودگی های محیط زیست بسیار حائز اهمیت می باشد. در این مقاله بر اساس نظر کارشناسان، گازهای آلاینده در صنعت سیمان مشخص شده و بر اساس مدلهای تحلیل پوششی داده ها کنترل و فیلتر کردن این گازها اولویت‌بندی شده اند. با دو مدل شعاعی و غیرشعاعی پیشنهادی، کاهش مجموع هزینه ها و تاثیرات گازهای آلاینده و با یک مدل غیر شعاعی پیشنهادی دیگر، کاهش هزینه و تاثیرات گازهای آلاینده اولویت بندی شده است. این گازهای آلاینده، بر اساس مدلهای FDH و تخصیص منابع مرکزی، نیز با در نظر گرفتن نوع بیماری و هزینه، اولویت بندی شده است. در خاتمه نتایج اولویت‌بندی گازهای آلاینده صنعت سیمان فارس با سه مدل پیشنهادی و روش تاپسیس ومدل FDH مقایسه شده است.
Control and reduction in environmental pollutants are of a great importance in all countries. In this paper, pollutant gases in the cement industry are analyzed and then prioritized for purposes of control and filtration based on DEA models. Two new radial and non-radial DEA models are proposed to prioritize reduction in total costs and in the effects of pollutant gases. Then, another non-radial model is provided for prioritizing reduction in costs and in the effects of pollutant gases. This prioritization is carried out using free disposal hull (FDH) and central resource allocation (CRA) models considering the types of disease caused by the pollutant gases and the medical treatment costs incurred. Finally, the results of the prioritization of Fars cement industry pollutant gases by all three proposed models are compared with those given by Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS) method and by FDH models.
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