Planning of municipal solid waste management under dual uncertainties

Waste Management and Research

Volumn 28, Issue 8, 2010, Pages 673-684

  Zhang, Xiaodong ^a   Huang, Guo H ^a   Nie, Xianghui ^a   Chen, Yumin ^a   Lin, Qianguo ^a  

^a UNIVERSITY OF REGINA   (Canada)

Author keywords

Interval; management; optimization; possibilistic programming; solid waste; uncertainty

Indexed keywords

DECISION MAKING; INDUSTRIAL WASTE TREATMENT; OPTIMIZATION; PENSION PLANS; PLANNING; SOLID WASTES;

ALLOCATION PATTERNS; COMPLEX SYSTEMS; DECISION VARIABLES; IMPACT FACTOR; INTERVAL; INTERVAL NUMBER; INTERVAL PARAMETER; LOWER AND UPPER BOUNDS; MULTIDISCIPLINARY PROBLEMS; MUNICIPAL SOLID WASTE MANAGEMENT; OBJECTIVE FUNCTIONS; OPTIMIZATION PROCESS; POSSIBILISTIC; POSSIBILISTIC PROGRAMMING; POSSIBILITY DISTRIBUTIONS; SYSTEM COSTS; TREATMENT AND DISPOSAL; UPPER LIMITS; WASTE FLOWS; WORST CASE;

WASTE DISPOSAL;

COST-BENEFIT ANALYSIS; MUNICIPAL SOLID WASTE; OPTIMIZATION; PLANNING PRACTICE; WASTE MANAGEMENT;

ARTICLE; COST; MODEL; MUNICIPAL SOLID WASTE; PARAMETER; PLANNING; PRIORITY JOURNAL; PROBABILITY; RISK; SOLID WASTE MANAGEMENT; UNCERTAINTY; WASTE DISPOSAL; COMPUTER PROGRAM; DECISION MAKING; ORGANIZATION AND MANAGEMENT; PROCEDURES; WASTE MANAGEMENT;

COSTS AND COST ANALYSIS; DECISION MAKING; PLANNING TECHNIQUES; PROBABILITY; SOFTWARE; UNCERTAINTY; WASTE MANAGEMENT;

EID: 77954918649     PISSN: 0734242X     EISSN: 10963669     Source Type: Journal    
DOI: 10.1177/0734242X09345273     Document Type: Article

References (59)

1. Abou Najm, M., El-Fadel, M., Ayoub, G., El-Taha, M. & Al-Awar, F. (2002) An optimisation model for regional integrated solid waste management I. Model formulation. Waste Management & Research, 20, 37-45.
2. Badran, M.F. & El-Haggar, S.M. (2006) Optimization of municipal solid waste management in Port Said - Egypt. Waste Management, 26, 534-545.
3. Birge, J.R. & Louveaux, F. (1997) Introduction to Stochastic Programming. Springer-Verlag, New York, USA.
4. Buckley, J.J. (1988) Possibilistic linear programming with triangular fuzzy numbers. Fuzzy Sets and Systems, 26, 135-138.
5. Chang, N.B. & Chang, Y.H. (2001) Optimal shipping strategy of solid waste streams with respect to throughput and energy recovery goals of incineration facilities. Civil Engineering and Environmental Systems, 18, 193-214.
6. Chang, N.B. & Davila, E. (2006) Siting and routing assessment for solid waste management under uncertainty using grey minimax regret criteria. Environmental Management, 38, 654-672.
7. Chang, N.B. & Davila, E. (2007) Minimax regret optimization analysis for a regional solid waste management system. Waste Management, 27, 820-832.
8. Chang, N.B. & Lu, H.Y. (1997) A new approach for long term planning of solid waste management systems using fuzzy global criterion. Journal of Environmental Science and Health, A32, 1025-1047.
9. Chang, N.B. & Wang, S.F. (1996) Managerial fuzzy optimal planning for solid waste management systems. Journal of Environmental Engineering -ASCE, 122, 649-658.
10. Chang, N.B. & Wang, S.F. (1997) A fuzzy goal programming approach for the optimal planning of solid waste management systems. European Journal of Operational Research, 99, 287-303.
11. Chang, N.B., Chen, Y.L. & Wang, S.F. (1997) A fuzzy interval multiobjective mixed integer programming approach for the optimal planning of solid waste management systems. Fuzzy Sets and Systems, 89, 35-60.
12. Chang, N.B., Davila, E., Dyson, B. & Brown, R. (2005) Optimal site selection and capacity planning of a municipal solid waste material recovery facility in an urban setting. Waste Management, 25, 833-846.
13. Cheng, S., Chan, C.W. & Huang, G.H. 2003 An integrated multi-criteria decision analysis and inexact mixed integer linear programming approach for solid waste management. Engineering Applications of Artificial Intelligence, 16 (5-6). 543-554.
14. Daskalopoulos, E., Badr, O. & Probert, S.D. (1998) An integrated approach to municipal solid waste management. Resources, Conservation and Recycling, 24, 33-50.
15. Davila, E. & Chang, N.B. (2005) Sustainable pattern analysis of publicly-owned material recovery facility under uncertainty. Journal of Environmental Management, 75, 337-352.
16. Dubois, D. & Prade, H. (1980) Systems of linear fuzzy constraints. Fuzzy Sets and Systems, 3, 37-48.
17. Fabbricino, M. (2001) An integrated programme for municipal solid waste management. Waste Management & Research, 19, 368-379.
18. Hsieh, S.H. & Wu, M.S. (2001) Demand and cost forest error sensitivity analyses in aggregate production planning by possibilistic linear programming models. Journal of Intelligent Manufacturing, 11, 355-364.
19. Hsu, H.M. & Wang, W.P. (2001) Possibilistic programming in production planning of assemble-to-order environments. Fuzzy Sets and Systems, 119, 59-70.
20. Huang, G.H. & Chang, N.B. (2003) Perspectives of environmental informatics and systems analysis. Journal of Environmental Informatics, 1, 1-6.
21. Huang, G.H., Baetz, B.W. & Patry, G.G. (1992) A grey linear programming approach for municipal solid waste management planning under uncertainty. Civil Engineering Systems, 9, 319-335.
22. Huang, G.H., Baetz, B.W. & Patry, G.G. (1993) A grey fuzzy linear programming approach for waste management and planning under uncertainty. Civil Engineering Systems, 10, 123-146.
23. Huang, G.H., Baetz, B.W. & Patry, G.G. (1995) Grey integer programming: an application to waste management planning under uncertainty. European Journal of Operational Research, 83, 594-620.
24. Huang, G.H., Baetz, B.W., Patry, G.G. & Terluk, V. (1997) Capacity planning for integrated waste management system under uncertainty: a North American case study. Waste Management & Research, 15, 523-546.
25. Huang, G.H., Sae-Lim, N., Liu L. & Chen Z. (2001) An interval-parameter fuzzy-stochastic programming approach for municipal solid waste management and planning. Environmental Modeling and Assessment, 6, 271-283.
26. Huang, Y.F., Baetz, B.W., Huang, G.H. & Liu, L. (2002) Violation analysis for solid waste management systems: an interval fuzzy programming approach. Journal of Environmental Management, 65, 431-446.
27. Huang, G.H., Chan, C.W. & Zhang, X.D. (2008) Applications of artificial intelligence to energy and environmental systems analysis under uncertainty (Guest Editors Introduction). International Journal of Software Engineering and Knowledge Engineering, 18 (4). 439-441.
28. Hwang, C.L. & Yoon, K. (1981) Multiple Attribute Decision Making: Methods and Applications. Springer, Berlin.
29. Inuiguchi, M. & Ramik, J. (2000) Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem. Fuzzy Sets and Systems, 111, 3-28.
30. Inuiguchi, M., Greco, S., Slowinski, R. & Tanino, T. (2003) Possibility and necessity measure specification using modifers for decision making under fuzziness. Fuzzy Sets and Systems, 137, 151-175.
31. Klang, A., Vikman, P. & Brattebà, H. (2006) Systems analysis as support for decision making towards sustainable municipal waste management - a case study. Waste Management & Research, 24, 323-331.
32. Lai, Y.J. & Hwang, C.L. (1992) A new approach to some possibilistic linear programming problems. Fuzzy Sets and Systems, 49: 121-133.
33. Lai, Y.J. & Hwang, C.L. (1993) Possibilistic linear programming for managing interest rate risk. Fuzzy Sets and Systems, 54, 135-146.
34. Li, Y.P., Huang, G.H. & Xiao, H.N. 2008 Municipal solid waste management under uncertainty: an interval-fuzzy two-stage stochastic programming approach. Journal of Environmental Informatics, 12 (2). 96-104.
35. Liang, T.F. (2006) Distribution planning decisions using interactive fuzzy multi-objective linear programming. Fuzzy Sets and Systems, 157, 1303-1316.
36. Liang, T.F. (2007) Application of interactive possibilistic linear programming to aggregate production planning with multiple imprecise objectives. Production Planning & Control, 18, 548-560.
37. Lodwick, W.A. & Jamison, K.D. (2007). Theoretical and semantic distinctions of fuzzy, possibilistic, and mixed fuzzy/possibilistic optimization. Fuzzy Sets and Systems, 158, 1861-1872.
38. Luo, B., Maqsood, I. & Huang, G.H. (2007) Planning water resources systems with interval stochastic dynamic programming. Water Resources Management, 21, 997-1014.
39. Maqsood, I., Huang, G.H. & Yeomans, J.S. 2005 An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty. European Journal of Operational Research, 167 (1). 208-225.
40. Minciardi, R., Paolucci, M., Robba, M. & Sacile, R. (2008) Multi-objective optimization of solid waste flows: Environmentally sustainable strategies for municipalities. Waste Management, 28, 2202-2212.
41. Muela, E., Schweickardt, G. & Garces, F. (2007) Fuzzy possibilistic model for medium-term power generation planning with environmental criteria. Energy Policy, 35, 5643-5655.
42. Mula, J., Poler, R. & Garcia, J.P. (2006) MRP with flexible constraints: a fuzzy mathematical programming approach. Fuzzy Sets and Systems, 157, 74-97.
43. Nie, X.H., Huang, G.H., Li, Y.P. & Liu. L. (2007) IFRP: A hybrid interval-paramater fuzzy robust programming approach for waste management planning under uncertainty. Journal of Environmental Management, 84, 1-11.
44. Özgen, D., Önüt, S., Gülsün, B., Tuzkaya, U.R. & Tuzkaya, G. (2008) A two-phase possibilistic linear programming methodology for multi-objective supplier evaluation and order allocation problems. Information Sciences, 178, 485-500.
45. Seo, F. & Sakawa, M. (1988) Multiple Criteria Decision Analysis in Regional Planning - Concepts, Methods and Applications. Reidel, Dordrecht.
46. Sundberg, J., Gipperth, P. & Wene, C.O. (1994) A systems approach to municipal solid waste management: a pilot study of Goteborg. Waste Management & Research, 12, 73-91.
47. Tanaka, H., Guo, P.J. & Zimmermann, H.J. (2000) Possibility distributions of fuzzy decision variables obtained from possibilistic linear programming problems. Fuzzy Sets and Systems, 113, 323-332.
48. Tang, J.F., Wang, D.W. & Fung, R.Y.K. (2001) Formulation of general possibilistic linear programming problems for complex industrial systems. Fuzzy Sets and Systems, 119, 41-48.
49. Torabi, S.A. & Hassini, E. (2008) An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy Sets and Systems, 159, 193-214.
50. Wang, R.C. & Liang, T.F. (2005) Applying possibilistic linear programming to aggregate production planning. International Journal of Production Economics, 98, 328-341.
51. Wilson, D.C. (1985) Long term planning for solid waste planning. Waste Management & Research, 3, 203-216.
52. Yeomans, J.S. (2007) Solid waste planning under uncertainty using evolutionary simulation-optimization. Socio-Economic Planning Sciences, 41, 38-60.
53. Yeomans, J.S. 2008 Applications of simulation-optimization methods in environmental policy planning under uncertainty. Journal of Environmental Informatics, 12 (2). 174-186.
54. Zadeh, L.A. (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1, 3-28.
55. Zhang, Y.M., Huang, G.H. & Zhang, X.D. (2009a) Inexact de Novo programming for water resources systems planning. European Journal of Operational Research, 199 (2). 531-541.
56. Zhang, X.D., Huang, G.H. & Nie, X.H. (2009b) Optimal decision schemes for agricultural water quality management planning with imprecise objective. Agricultural Water Management, 96 (12). 1723-1731.
57. Zhang, X.D., Huang, G.H. & Nie, X.H. Robust stochastic fuzzy possibilistic programming for environmental decision making under uncertainty. Science of the Total Environment. 2009 c, in press.
58. Zhou, F., Guo, H.C., Chen, G.X. & Huang, G.H. 2008 The interval linear programming: A Revisit. Journal of Environmental Informatics, 11 (1). 1-10.
59. Zimmermann, H.J. (1978) Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Systems, 1, 45-55.