Identifying and prioritizing the factors influencing industrial waste management using Fuzzy Analytical Hierarchy Process (FAHP)
محورهای موضوعی : Research paper
mina moeeni
1
(Environmental Management, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran)
Ghasemali Omrani
2
(School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.)
Nematallah Khorasani
3
(Professor of Environmental Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.)
Reza Arjomandi
4
(Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.)
کلید واژه: FAHP (Fuzzy Analytical Hierarchy Process), Multi-Criteria Decision Support Systems (MCDSS), Plating Industrial Waste Management, Effective Components of Industrial Waste Management,
چکیده مقاله :
Over the past few decades, human societies have faced one of the most significant consequences of industrial development. That is the improper transportation and disposal of hazardous and industrial-specific waste, which accounts for a large share of the total pollution of the environment, and its destructive effects on creating environmental crises are quite evident. The plating industry is one of the main consumers of toxic chemicals used for different applications. However, because of the lack of a comprehensive model, hazardous waste management has not yet met the current needs, and its principles still require more development. This study was carried out using tools and standards including Multi-Criteria Decision Support Systems (MCDSS) and Fuzzy Analytical Hierarchy Process (FAHP) to rank the contributions of effective components to the plating industry in a case study conducted and implemented in Paitakht Industrial District of Tehran. In order to realize this objective, after extracting 10 components effective in optimizing the management of industrial wastes, questionnaires were used to survey experts to verify the components. The factors were identified using the Delphi method through the analysis of frequency carried out using a second questionnaire based on the results of the analysis of the data extracted from the first questionnaire. The results showed that components contributing to the optimal management of industrial waste included leadership and management, policy, strategy, technology and mode of collection and transportation, economic factors, policy making, expertise, culture, education, and the amount and composition of waste, in that order.
Aivalioti, M., Cossu, R., Gidarakos, E. (2014). New opportunities in industrial waste management. Waste Management, 34, pp. 1737-1738.
Babu, B.V. and Ramakrishna, V. (2000). Mathematical modeling of site sensitivity indices in the site selection criteria for hazardous waste treatment, storage and disposal facility. Journal of the Institution of Public Health Engineers India, 1, pp. 54-70.
Bugallo, P. M., Gomez, M. C., Miguez, C., Andrade, L. (2012). Management strategy for hazardous waste from atomized SME: application to the printing industry. Journal of cleaner production, 35, pp. 214-229.
Chalise, A.R. (2014). Selection of sustainability indicators for wastewater treatment technologies. A thesis in the Department of Building, Civil and Environmental Engineering Presented in Partial Fulfilment of the Requirements for the Degree of Master of Applied Science (Civil Engineering) at Concordia University Montreal, Quebec, Canada.
Capón-García, E., Papadokonstantakis, S., Hungerbühler, K.. (2014). Multi-objective optimization of industrial waste management in chemical sites coupled with heat integration issues. Computers & Chemical Engineering, 62, pp. 21-36.
Dožić, S. (2019). Multi-criteria decision making methods: Application in the aviation industry. Journal of Air Transport Management, 79, pp. 101683.
Fataei, E., Monavari, S., Shariat, S., Leghaei, H., Ojaghi, A. (2005). Management of collection, transportation and landfilling of Solid Waste in Sarein City. The Journal of Solid Waste Technology and Managent, Scopus, 31, pp. 229-224.
Hasanzadeh, M., Afshin Danehkar, A., Azizi, M. (2013). The application of Analytical Network Process to environmental prioritizing criteria for coastal oil jetties site selection in Persian Gulf coasts (Iran). Ocean & Coastal Management, 73, pp. 136-144.
Hogland, W. and Stenis., J. (2000). Assessment and system analysis of industrial waste management. Waste Management, 20, pp. 537-543.
Jozi, S. A., Hosseini, S. M., Khayatzadeh, A., Tabibshushtari, M. (2010). Analyses of physical risks in Khozestan dam using Multi Criteria Decision Method (MCDM). Journal of Environmental Studies, 36, pp. 25-38.
Karami, M., Farzadkia, M., Jonidi, A., Nabizadeh, R., Gohari, M., Karimaee, M. (2011). Quantitative and qualitative investigation of industrial solid waste in industrial plants located between Tehran and Karaj. Iran Occupational Health, 8(2), pp. 12-10.
Koolivand, A., Mazandaranizadeh, H., Binavapoor, M., Mohammadtaheri, A., Saeedi, R., (2017). Hazardous and industrial waste composition and associated management activities in Caspian industrialpark, Iran. Environmental Nanotechnology, Monitoring & Management, 7, pp. 9-14.
Li, L., Wang, Sh., Lin, Y., Liu, W., Chi, T. (2015). A covering model application on Chinese industrial hazardous waste management based on integer program method. Ecological Indicators. 51, pp. 237-243.
Mohammadi, M.S., Khazir, S., Parhizkari, T., Kiaei, H. (2005). The Necessity of Managing Hazardous Industrial Waste Management; Second National Conference on Waste Management and Its Position in Urban Planning; Tehran, Materials and Materials Processing Organization, Allameh Amini Hall, University of Tehran.
Moeenaddini, M. (2011). “Locating Municipal Solid Waste Landfil by using hierarchical fuzzy TOPSIS (case study: Karaj City)”, journal of natural environment, 64(2), pp. 155- 167.
Musin, R. K., Kurlyanov, N. A., Kalkamanova, Z. G., Korotchenko, T. V. (2016). "Environmental state and buffering properties of underground hydrosphere in waste landfill site of the largest petrochemical companies in Europe." IOP Conference Series: Earth and Environmental Science. 33(1), pp. 012019.
Ndiaye, L. G., Caillat, S., Chinnayya, A., Gambier, D., Baudoinl, B. (2010). Application of the dynamic model of Saeman to an industrial rotary kiln incinerator: Numerical and experimental results. Waste Management, 30(7), pp. 1188-1195.
Russell, C. S. (2008). Economic incentives in the management of hazardous waste. Law Journal Library, 13, pp. 257-264.
Safarzadeh, S., Amirfazli, M., S.Khadem, R. (2019). Identification, Classification and management of Industrial Hazardous waste in Ardabil Province. Anthropogenic Pollution Journal, 3(2), pp. 29-36.
Shcherbina, O., Elena, S., Trusins, J. (2010). Spatial Development Decision Making and Modeling. Scientific Journal of Riga Technical University, 1, pp. 25-31.
Soler, I., Gemar, G., Jimenez-Madrid, A. (2017). The impact of municipal budgets and land-use management on the hazardous waste production of Malaga municipalities. Environmental Impact Assessment Review, 65, pp. 21-28.
S. Safavian, S.T. and Fataei, E. (2017). Comparative study on efficiency of ANP and PROMETHEE methods in locating MSW landfill sites. Anthropogenic Pollution Journal, 1(1), pp. 40-45.
Zamorano, M., Grindlay, A., Molero, E., Rodríguez, M. (2011). Diagnosis and proposals for waste management in industrial areas in the service sector: case study in the metropolitan area of Granada (Spain). Journal of Cleaner Production, 19, pp. 1946-1955.
Üsküdar, A., Türkan, Y. S., Özdemir, Y. S., Öz, A. H. (2019). Fuzzy AHP-Center of Gravity Method Helicopter Selection and Application. In 2019 8th International Conference on Industrial Technology and Management (ICITM), pp. 170-174.IEEE.
Yavuz, Y. and Ögütveren Ü.B. (2017). Treatment of industrial estate wastewater by the application of electrocoagulation process using iron electrodes. Journal of Environmental Management, 207, pp. 151-158.
