Abstract
Municipal solid waste (MSW) management is a conspicuous issue in sustainable development considering its association with all three domains of sustainability i.e. economy, society, and environment. Various operations research techniques have been used to provide a robust decision support system for a cost-effective, environment friendly and socially convenient MSW management in urban centers across the globe. This chapter discusses the holistic view of one such technique i.e. multi criteria decision-making (MCDM). MCDM models are used to solve two different kind of problems i.e. (i) evaluation of discrete decision alternatives based on identified attributes, known as multi-attribute decision making (MADM) problems; and (ii) optimization of a multi objective function in a continuous decision space, known as multi-objective decision making (MODM) problems. The formulation and applications of MADM and MODM models are demonstrated using two real case studies. First case study exhibits the use of a MADM model to select appropriate combination of locations for MSW facilities with simultaneous consideration of all relevant economical, social, technical and environmental attributes. The proposed two-stage MADM model expands the conventional approaches to select best locations for MSW facilities based on only economical cost minimization, and includes all relevant attributes to make it a comprehensive model. Attribution identification and economic evaluation are performed in the first stage assessment. Shortlisted alternatives are then evaluated for all identified economical, social, technical and environmental attributes using Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) in the second stage assessment. The model is demonstrated on the city of Nashik (India). The model select best combination of locations with an optimum economical cost, good suitability for societal and technical attributes, and minimal environmental emissions. Second case study maximizes the social acceptance of MSW management system in the Hoi An city (Vietnam) using a MODM model. The proposed model provides an essential framework with the scientific consensus among all level of stakeholders. Minimizing the economical cost of entire system, pollution emission from MSW facilities, and amount of MSW ending up in landfills are selected as primary objectives. Both of these case studies reflect the potential of MCDM models to establish a sustainable MSW management system in the urban centers across the globe.
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References
Andersen JK, Boldrin A, Christensen TH, Scheutz C (2011) Mass balances and life cycle inventory of home composting of organic waste. Waste Manage 31(9–10): 1934–1942
ARAI (2017) Indian emission regulation booklet. The Automotive Research Association of India. https://www.araiindia.com/pdf/Indian_Emission_Regulation_Booklet.pdf. Accessed 01 Oct 2018
Büyüközkan G, Gocer F (2017) An intuitionistic fuzzy MCDM approach for effective hazardous waste management. In: Intelligence systems in environmental management: theory and applications. Springer, Berlin, pp 21–40
Chang NB, Pires A (2015) Sustainable solid waste management: a systems engineering approach. Wiley, New York
Eggleston S, Buendia L, Miwa K, Ngara T, Tanabe K (2006) Ipcc guidelines for national greenhouse gas inventories. vol. 5 waste. ipcc national greenhouse gas inventories programme. Institute for Global Environmental Strategies, Hayama, Kanagawa, Japan
Gladding T, Thurgood M et al (2004) Review of environmental and health effects of waste management: municipal solid waste and similar wastes. Department for Environment, Food and Rural Affairs, London
Greco S, Figueira J, Ehrgott M (2016) Multiple criteria decision analysis. Springer, Berlin
Heidari R, Yazdanparast R, Jabbarzadeh A (2019) Sustainable design of a municipal solid waste management system considering waste separators: a real-world application. Sustain Cities Society 47: 101457
Hoang GM, Fujiwara T, Phu TSP, Nguyen LD (2019) Sustainable solid waste management system using multi-objective decision-making model: a method for maximizing social acceptance in Hoi An city, Vietnam. Environ Sci Pollution Res 26(33):34137–34147
Hoang MG, Fujiwara T, Phu STP (2017) Municipal waste generation and composition in a tourist city - Hoi An, Vietnam. J JSCE 5(1):123–132
Istrate IR, Iribarren D, Gálvez Martos JL, Dufour J (2020) Review of life-cycle environmental consequences of waste-to-energy solutions on the municipal solid waste management system. Resources Conserv Recycling 157: 104778
Karagoz S, Deveci M, Simic V, Aydin N, Bolukbas U (2020) A novel intuitionistic fuzzy mcdm-based codas approach for locating an authorized dismantling center: a case study of Istanbul. Waste Manage Res 38(6):660–672
Mirdar Harijani A, Mansour S, Karimi B (2017) A multi-objective model for sustainable recycling of municipal solid waste. Waste Manage Res 35(4): 387–399
Pohekar SD, Ramachandran M (2004) Application of multi-criteria decision making to sustainable energy planning’a review. Renew Sustain Energy Rev 8(4):365–381
Popiolek N, Thais F (2016) Multi-criteria analysis of innovation policies in favour of solar mobility in France by 2030. Energy Policy 97:202–219
Shahnazari A, Rafiee M, Rohani A, Nagar BB, Ebrahiminik MA, Aghkhani MH (2020) Identification of effective factors to select energy recovery technologies from municipal solid waste using multi-criteria decision making (MCDM): a review of thermochemical technologies. In: Sustainable energy technologies and assessments 40
Singh SK, Goh M (2019) Multi-objective mixed integer programming and an application in a pharmaceutical supply chain. Int J Prod Res 57(4):1214–1237
Tran VT, Nguyen NP, Tran PTK, Tran TN, Huynh TTP (2019) Brand equity in a tourism destination: a case study of domestic tourists in hoi an city, Vietnam. Tourism Rev
Yadav V, Karmakar S (2020) Sustainable collection and transportation of municipal solid waste in urban centers. Sustain Cities Soc 53: 101937
Yadav V, Karmakar S, Dikshit A, Vanjari S (2016a) A facility location model for msw management systems under uncertainty: a case study of Nashik city, India. Proc Environ Sci 35:90–100
Yadav V, Karmakar S, Dikshit A, Vanjari S (2016b) A feasibility study for the locations of waste transfer stations in urban centers: a case study on the city of nashik, India. J Cleaner Prod 126:191–205
Yadav V, Karmakar S, Dikshit A, Vanjari S (2016c) Transfer stations siting in India: a feasibility demonstration
Yadav V, Karmakar S, Dikshit A, Bhurjee A (2018) Interval-valued facility location model: an appraisal of municipal solid waste management system. J Cleaner Prod 171:250–263
Yadav V, Karmakar S, Kalbar PP, Dikshit A (2019) PyTOPS: a python based tool for TOPSIS. SoftwareX 9:217–222
Yadav V, Kalbar PP, Karmakar S, Dikshit A (2020) A two-stage multi-attribute decision-making model for selecting appropriate locations of waste transfer stations in urban centers. Waste Manage 114:80–88
Zeng S, Chen SM, Kuo LW (2019) Multiattribute decision making based on novel score function of intuitionistic fuzzy values and modified VIKOR method. Information Sci 488:76–92
Zimmermann HJ (2011) Fuzzy set theory–and its applications. Springer Science and Business Media
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Yadav, V., Karmakar, S. (2021). Multi Criteria Decision Making for Sustainable Municipal Solid Waste Management Systems. In: Patnaik, S., Tajeddini, K., Jain, V. (eds) Computational Management. Modeling and Optimization in Science and Technologies, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-030-72929-5_28
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