Industrial Wastes Risk Ranking with TOPSIS, Multi Criteria Decision Making Method

Amirali Pourahmadi, Taghi Ebadi, Manouchehr Nikazar


Today, various types of industrial waste are produced in different industries to meet human demands. Growth in quantity as well as complication in quality of these wastes are followed by the advance of technology. Management of such wastes need a proper identification and comprehensive understanding of the risk, emerging after the harmful characteristics of the wastes and negatively affect the human and environment health. Wastes risk ranking systems, in this regard, links between the industrial wastes indices and mathematical method/algorithm, being able at estimation of the risk level as well as comparison between the wastes of an industrial unit based on the risk level. Complexity of the method, high computational costs and lack of proper description of waste using selected indices in former studies has led to the proposal of an applicable and flexible method. In this study, the “TOPSIS Multi-Criteria Decision-Making (MCDM) method” was developed in order for ranking the risk of various industrial wastes. Totally, a number of 9 subsidiary indices on the human health and 11 subsidiary indices on the environment health was identified and employed. Finally, the proposed waste risk ranking system was used for ranking 9 types of identified industrial waste in three industrial section. Results show that the “TOPSIS MCDM”, due to the lack of complexities in method and limited computational costs, is an efficient and appropriate method for ranking industrial wastes.


Industrial Waste; Waste Risk Ranking System (WRRS); TOPSIS Multi-Criteria Decision (MCDM) Method; Descriptive Indices of Waste.


United Nations Department of Economic and Social Affairs (UN DESA) (2014) World Urbanization Prospects: The 2014 Revision, Highlights. New York: United Nations.

Storey, Donovan, Lorenzo Santucci, Rowan Fraser, Joao Aleluia, and Laksiri Chomchuen. "Designing effective partnerships for waste-to-resource initiatives: Lessons learned from developing countries." Waste Management & Research 33, no. 12 (2015): 1066-1075.

Musee, N., L. Lorenzen, and Chris Aldrich. "An aggregate fuzzy hazardous index for composite wastes." Journal of hazardous materials 137, no. 2 (2006): 723-733.

Broadhurst, J. L., and J. G. Petrie. "Ranking and scoring potential environmental risks from solid mineral wastes." Minerals Engineering 23, no. 3 (2010): 182-191.

Zitko, V. "Priority ranking of chemicals for risk assessment." Science of the total environment 92 (1990): 29-39.

Mitchell, Rachel R., Cheryl L. Summer, Shari A. Blonde, Dennis M. Bush, Gary K. Hurlburt, Erin M. Snyder, and John P. Giesy. "SCRAM: a scoring and ranking system for persistent, bioaccumulative, and toxic substances for the North American Great Lakes-resulting chemical scores and rankings." Human and Ecological Risk Assessment: An International Journal 8, no. 3 (2002): 537-557.

Hauschild, Veronique D., and Gary M. Bratt. "Prioritizing industrial chemical hazards." Journal of Toxicology and Environmental Health, Part A 68, no. 11-12 (2005): 857-876.

Shin, Saemi, Hyung-Il Moon, Kwon Seob Lee, Mun Ki Hong, and Sang-Hoon Byeon. "A chemical risk ranking and scoring method for the selection of harmful substances to be specially controlled in occupational environments." International journal of environmental research and public health 11, no. 11 (2014): 12001-12014.

Hauschild, Veronique D., and Gary M. Bratt. "Prioritizing industrial chemical hazards." Journal of Toxicology and Environmental Health, Part A 68, no. 11-12 (2005): 857-876.

Talınlı, İlhan, Rana Yamantürk, Egemen Aydın, and Sibel Başakçılardan-Kabakçı. "A rating system for determination of hazardous wastes." Journal of hazardous materials 126, no. 1 (2005): 23-30.

Rao, K. Rajeshwar, S. Venkateswar Rao, and V. Chary. "Estimation of risk indices of chemicals during transportation." Process safety progress 23, no. 2 (2004): 149-154.

Pourahmadi, Amirali, Taghi Ebadi, and Manouchehr Nikazar. "Development a Conceptual Framework for Industrial and Hazardous Wastes Rating Systems." Civil Engineering Journal 2, no. 4 (2016): 140-149.

Musee, N., Chris Aldrich, and L. Lorenzen. "New methodology for hazardous waste classification using fuzzy set theory: Part II. Intelligent decision support system." Journal of hazardous materials 157, no. 1 (2008): 94-105.

Musee, N., L. Lorenzen, and C. Aldrich. "New methodology for hazardous waste classification using fuzzy set theory: Part I. Knowledge acquisition." Journal of hazardous materials 154, no. 1 (2008): 1040-1051.

Al-Sharrah, Ghanima. "Ranking using the Copeland score: a comparison with the Hasse diagram." Journal of chemical information and modeling 50, no. 5 (2010): 785-791.

Lerche, Dorte, Peter B. Sørensen, Henrik Sørensen Larsen, Lars Carlsen, and Ole John Nielsen. "Comparison of the combined monitoring-based and modelling-based priority setting scheme with partial order theory and random linear extensions for ranking of chemical substances." Chemosphere 49, no. 6 (2002): 637-649.

Swanson, Mary B., Gary A. Davis, Lori E. Kincaid, Terry W. Schultz, John E. Bartmess, Sheila L. Jones, and Emma Lou George. "A screening method for ranking and scoring chemicals by potential human health and environmental impacts." Environmental Toxicology and Chemistry 16, no. 2 (1997): 372-383.

García-Cascales, M. Socorro, and M. Teresa Lamata. "On rank reversal and TOPSIS method." Mathematical and Computer Modelling 56, no. 5 (2012): 123-132.

C. L. Hwang and K. Yoon, Multiple Attribute Decision Making, Springer, Berlin, Germany, 1981.

García-Cascales, M. Socorro, and M. Teresa Lamata. "Solving a decision problem with linguistic information." Pattern Recognition Letters 28, no. 16 (2007): 2284-2294.

Boran, Fatih Emre, Serkan Genç, Mustafa Kurt, and Diyar Akay. "A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method." Expert Systems with Applications 36, no. 8 (2009): 11363-11368.

Milani, A. S., A. Shanian, R. Madoliat, and J. A. Nemes. "The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection." Structural and multidisciplinary optimization 29, no. 4 (2005): 312-318.

Yang, Taho, and Pohung Chou. "Solving a multiresponse simulation-optimization problem with discrete variables using a multiple-attribute decision-making method." Mathematics and Computers in simulation 68, no. 1 (2005): 9-21.

Shannon, Claude E., and Warren Weaver. "The mathematical theory of communication. Urbana, Ill." Univ. Illinois Press 1 (1949): 17.

Zeleny, Milan, and James L. Cochrane. "A priori and a posteriori goals in macroeconomic policy making." Multiple Criteria Decision Making 373 (1973): 391.

Shemshadi, Ali, Hossein Shirazi, Mehran Toreihi, and Mohammad J. Tarokh. "A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting." Expert Systems with Applications 38, no. 10 (2011): 12160-12167.

Wang, Tien-Chin, and Hsien-Da Lee. "Developing a fuzzy TOPSIS approach based on subjective weights and objective weights." Expert Systems with Applications 36, no. 5 (2009): 8980-8985.

National Fire Protection Association (NFPA), Standard 325A, Fire hazard properties of flammable liquids, gases and volatile solids, Hazardous Chemicals Data, NFPA, Quincy, MA, 1994.

CHLORIDE, V. (2016). Agency for Toxic Substances and Disease Registry Division of Toxicology and Human Health Sciences Atlanta, GA 30329-4027 January 2016.

Liu, Jining, Chen Tang, Deling Fan, Lei Wang, Linjun Zhou, and Lili Shi. "Ranking and screening hazardous chemicals for human health in southeast China." Organic Chemistry: Current Research 3, no. 1 (2014): 1.

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DOI: 10.28991/cej-2017-00000098


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