Some Contributions of Statistical Studies on Decision Support Tools for Waste Management: A Review
Tóm tắt
Waste is one of the most pressing problem faced by the whole world. Waste management is increasingly becoming a challenging task for the respective authorities, due to increasing waste quantities, changing waste composition, decreasing land availability for waste disposal sites and increasing awareness about the environmental risk associated with the waste management facilities. Statistical studies carried out on waste management have been reviewed, in this article. Total 38 publications have been taken for review. The review shows that the majority of studies of waste management use linear programming problem approach and also providing and describing the relationship between various problems. Very few attempts have been made for applied aspects of waste management contents. A review of literature on waste management is presented, with brief method of the study and analysis used for the determination of the required results. The objective of this review paper is to present an updated statistical study of the most relevant problems on waste management. A bibliographical account and theme wise review of various past publications have been also provided in this paper.
Tài liệu tham khảo
Abou Najm M, El-Fadel M, Ayoub G, El-Taha M, Al-Awar F (2002) An optimization model for regional integrated solid waste management I. Model formulation. Waste Manag Res 20:37–45
Achillas C, Aidonis D, Vlachokostas C, Moussiopoulos N, Banias G, Triantafillou D (2012) A multi-objective decision-making model to select WEEE transportation media. Resour Conserv Recycl 66:76–84
Achillas C, Moussiopoulos N, Karagiannidis A, Banias G, Perkoulidis G (2013) The use of multi-criteria decision analysis to tackle waste management problems: a literature review. Waste Manag Res 31(2):115–129
Ahmed S, Panwar RM, Sharma A (2014) Forecasting e-waste amounts in India. Int J Eng Res Gener Sci 2(6):2091–2730
Alidi AS (1992) An integer goal programming model for hazardous waste treatment and disposal. Appl Math Model 16:645–651
Antmann ED, Shi X, Celik N, Dai Y (2013) Continuous-discrete simulation-based decision making framework for solid waste management and recycling programs. Comput Ind Eng 65:438–454
Ayvaz B, Bolat B (2014) Proposal of a stochastic programming model for reverse logistics network design under uncertainties. Int J Supply Chain Manag 3(3):33
Barnabas G, Edward A, Boobalan, Anantharam, Balaganesh, Vignesh Raj MSK (2013) Inventory control model for remanufacturing. In: 2nd international conference on trends in industrial and mechanical engineering (ICTIME’2013), Sept 17–18, 2013 Hong Kong, 2013
Biegler LT, Grossmann IE (2004) Retrospective on optimization. Comput Chem Eng 28:1169–1192
Boyer O, Sai Hong T, Pedram A, Mohd Yusuff RB, Zulkifli N (2013) A mathematical model for the industrial hazardous waste location-routing problem. J Appl Math 2013:435272. doi:10.1155/2013/435272
Chang N-B, Wang SF (1997) A fuzzy goal mixed integer programming approach for the optimal planning of metropolitan solid waste management systems. Eur J Oper Res 97:303–321
Chang N-B, Chen YL, Wang SF (1997) A fuzzy interval multi objective mixed integer programming approach for the optimal planning of solid waste management systems. Fuzzy Sets Syst 89:35–60
Cheng S, Chan CW, Huang GH (2003) An integrated multi-criteria decision analysis and inexact mixed integer linear programming approach for solid waste management. Eng Appl Artif Intell 16:543–554
Dai C, Li YP, Huang GH (2011) A two-stage support-vector-regression optimization model for municipal solid waste management. A case study of Beijing, China. J Environ Manag 92:3023–3037
Erkut E, Karagiannidis A, Perkoulidis G, Tjandra SA (2008) A multi criteria facility location model for municipal solid waste management in North Greece. Eur J Oper Res 187:1402–1421
Gangolells M, Casals M, Forcada N, Macarulla M (2014) Analysis of the implementation of effective waste management practices in construction projects and sites. Resour Conserv Recycl 93:99–111
Ghafoori S, Mowla A, RamtinJahani MM, Chan PK (2015) Sonophotolytic degradation of synthetic pharmaceutical wastewater: statistical experimental design and modeling. J Environ Manag 150:128–137
Grossmann IE, Biegler LT (2004) Part II, Future perspective on optimization. Comput Chem Eng 28:1193–1218
Hosseini Z, Fazlollahtabar H, Mahdavi I (2014) A mathematical model for waste management in reverse supply chain. In: Proceedings of the 2014 international conference on industrial engineering and operations management, Bali, Indonesia
Ibanez MV, Prades M, Simo A (2011) Modeling municipal waste separation rates using generalized linear models & beta regression. Resour Conserv Recycl 55:1129–1138
Jing S, Huang GH, Xi BD, Li YP, Qin XS, Huo S, Jiang Y (2009) A hybrid inexact optimization approach for solid waste management in the city of Foshan, China. J Environ Manag 91:389–402
Kami E, Werczberger E (1995) The compromise criterion in MCDM: interpretation and sensitivity to the p parameter. Environ Plan 22(4):407–418
Kemp RV, Bennett DG, White MJ (2006) Recent trends and developments in dialogue on radioactive waste management: experience from the UK. Environ Int 32:1021–1032
Ladhema R, Salminen P, Hokkanen J (2000) Using multi criteria methods in environmental planning and management. Environ Manag 26:595–605
Li YP, Huang GH, Nie SL (2012) A mathematical model for identifying an optimal waste management policy under uncertainty. Appl Math Model 36:2658–2673
Lin W-S, Lee M, Huang Y-C, Den W (2015) Identifying water recycling strategy using multivariate statistical analysis for high-tech industries in Taiwan. Resour Conserv Recycl 94:35–42
Liu F, Wen Z, Ye X (2013) A dual-uncertainty-based chance-constrained model for municipal solid waste management. Appl Math Model 37:9147–9159
Louis G, Shih J-S (2007) A flexible inventory model for municipal solid waste recycling. Socio-Economic Planning Sciences 41:61–89
Markovic D, Janosevic D, Jovanovic M, Nikolic V (2010) Application method for optimization in solid waste management system in the city of NIS. Facta Univ Ser Mech Eng 8(1):63–76
Nannyonga B (2007) A mathematical model on municipal solid waste recycling
Nessi S, Rigamonti L, Grosso M (2012) LCA of waste prevention activities: a case study for drinking water in Italy. J Environ Manag 108:73–83
Opricovic S (2007) A fuzzy compromise solution for multi criteria problems. Int J Uncertain Fuzziness Knowl Based Syst 15(3):363–380
Pandey D, Choudhry BM (2013) Route optimization for MSW disposal sites in Gondia Maharashtra state, India. Int J Bioassays 02(04):661–666
Parra S, Aguilar FJ, Calatrava J (2008) Decision modeling for environmental protection: the contingent valuation method applied to greenhouse waste management. Biosyst Eng 99:469–477
Performance Audit on “Management of Wastes in India”, Report No. PA 14 (2008). www.cag.gov.in/html/reports/civil/2008_PA14_SD.../chap_1.pdf
Ravisankar R, Vanasundari K, Suganya M, Raghu Y, Rajalakshmi A, Chandrasekaran A, Sivakumar S, Chandramohan J, Vijayagopal P, Venkatraman B (2014) Multivariate statistical analysis of radiological data of building materials used in Tiruvannamalai, Tamilnadu, India. Appl Radiat Isot 85:114–127
Saaty TL (1980) The analytic hierarchy process, planning, priority setting, resource allocation. McGraw-Hill, New York
Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1(1):83–98
Saaty TL, Gholamnezhad H (1982) High-level nuclear waste management: analysis of options. Environ Plan B 9(1):181–196
Samanlioglu F (2013) A multi-objective mathematical model for the industrial hazardous waste location-routing problem. Eur J Oper Res 226:332–340
Smidt E, Bohm K, Tintner J (2010) Application of various statistical methods to evaluate thermo-analytical data of mechanically–biologically treated municipal solid waste. Thermochim Acta 501:91–97
Sodhi MS, Reimer B (2001) Models for recycling electronics end-of-life products. OR Spektrum 23:97–115
Solel M, Watson J, Puig R, Fullana-i-Palmer P (2012) Proposal of a new model to improve the collection of small WEEE: a pilot project for the recovery and recycling of toys. Waste Manag Res 30(11):1208–1212
Tadic D, Mimovic P, Kostic J, ZaharĐorĐevic M (2014) A fuzzy bi-linear management model in reverse logistic chains. Yugoslav J Oper Res. doi:10.2298/YJOR131015037T
Tan Q, Huang GH, Cai YP (2010) Waste management with recourse: an inexact dynamic programming model containing fuzzy boundary intervals in objectives and constraints. J Environ Manag 91:1898–1913
Tan ST, Hashim H, Ho WS, Lee CT (2013) Optimal planning of waste-to-energy through mixed integer linear programming. Int J Environ Chem Ecol Geol Geophys Eng 7(6):372–379
Tung-Lai H, Sheu J-B, Huang K-H (2002) A reverse logistics cost minimization model for the treatment of hazardous wastes. Transp Res Part E 38:457–473
Wolfer S, Sander H, Gogoll F (2011) Reverse logistics for waste electrical and electronic equipment (WEEE) in China: application of linear programming to eco-innovation in industry. Institute of Global Business and Society — Cologne University of Applied Sciences
Xi BD, Su J, Huang GH, Qin XS, Jiang YH, Huo SL, Ji DF, Yao B (2010) An integrated optimization approach and multi-criteria decision analysis for supporting the waste management system of the city of Beijing, China. Eng Appl Artif Intell 23:620–631
Yanrong W, Cuili W, Han W (2011) Research on the quantitative relationship between the generation of industrial solid waste and per capita GDP of Henan province. Energy Procedia 5:593–597
Zaza F, Paoletti C, Presti RL, Pasquali ESM (2011) Multiple regression analysis of hydrogen sulphide poisoning in molten carbonate fuel cells used for waste-to-energy conversions. Int J Hydrogen Energy 36(8119–8):125
Zhang YM, Huang GH, He L (2011) An inexact reverse logistics model for municipal solid waste management systems. J Environ Manag 92:522–530
Zopounidis C, Doumpos M (2002) Multi-criteria decision aid in financial decision making: methodologies and literature review. J Multi-criteria Decis Anal 11:167–186