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Chen, XiuJuan, Huang, GuoHe, Suo, MeiQin, Zhu, Hua, Dong, Cong (2014) An inexact inventory-theory-based chance-constrained programming model for solid waste management. Stochastic Environmental Research and Risk Assessment, 28 (8). 1939-1955 doi:10.1007/s00477-014-0936-x

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Reference TypeJournal (article/letter/editorial)
TitleAn inexact inventory-theory-based chance-constrained programming model for solid waste management
JournalStochastic Environmental Research and Risk Assessment
AuthorsChen, XiuJuanAuthor
Huang, GuoHeAuthor
Suo, MeiQinAuthor
Zhu, HuaAuthor
Dong, CongAuthor
Year2014 (December)Volume28
Issue8
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-014-0936-xSearch in ResearchGate
Generate Citation Formats
Mindat Ref. ID9339945Long-form Identifiermindat:1:5:9339945:0
GUID0
Full ReferenceChen, XiuJuan, Huang, GuoHe, Suo, MeiQin, Zhu, Hua, Dong, Cong (2014) An inexact inventory-theory-based chance-constrained programming model for solid waste management. Stochastic Environmental Research and Risk Assessment, 28 (8). 1939-1955 doi:10.1007/s00477-014-0936-x
Plain TextChen, XiuJuan, Huang, GuoHe, Suo, MeiQin, Zhu, Hua, Dong, Cong (2014) An inexact inventory-theory-based chance-constrained programming model for solid waste management. Stochastic Environmental Research and Risk Assessment, 28 (8). 1939-1955 doi:10.1007/s00477-014-0936-x
In(2014, December) Stochastic Environmental Research and Risk Assessment Vol. 28 (8) Springer Science and Business Media LLC

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Cao, M. F., Huang, G. H., Sun, Y., Xu, Y., Yao, Y. (2010) Dual inexact fuzzy chance-constrained programming for planning waste management systems. Stochastic Environmental Research and Risk Assessment, 24 (8). 1163-1174 doi:10.1007/s00477-010-0390-3
Xu, Y., Shao, L. G., Huang, G. H. (2013) An inexact fuzzy-random-chance-constrained air quality management model. Stochastic Environmental Research and Risk Assessment, 27 (8). 1929-1946 doi:10.1007/s00477-013-0728-8
Ji, Ling, Huang, Guohe, Ma, Qiang (2018) Total consumption controlled water allocation management for multiple sources and users with inexact fuzzy chance-constrained programming: a case study of Tianjin, China. Stochastic Environmental Research and Risk Assessment, 32 (12). 3299-3315 doi:10.1007/s00477-018-1627-9
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Ji, Yao, Huang, Guohe, Sun, Wei, Li, Yanfeng (2016) Water quality management in a wetland system using an inexact left-hand-side chance-constrained fuzzy multi-objective approach. Stochastic Environmental Research and Risk Assessment, 30 (2). 621-633 doi:10.1007/s00477-015-1094-5
Cheng, Guanhui, Huang, Guohe, Dong, Cong, Lv, Ying, Zhang, Junlong, Yao, Yao, Chen, Xiujuan (2018) Resources and environmental systems management under synchronic interval uncertainties. Stochastic Environmental Research and Risk Assessment, 32 (2). 435-456 doi:10.1007/s00477-017-1445-5
Guo, P., Huang, G. H., He, L. (2008) ISMISIP: an inexact stochastic mixed integer linear semi-infinite programming approach for solid waste management and planning under uncertainty. Stochastic Environmental Research and Risk Assessment, 22 (6). 759-775 doi:10.1007/s00477-007-0185-3
Hu, Qing, Huang, Guohe, Liu, Zhenfang, Fan, Yurui, Li, Wei (2012) Inexact fuzzy two-stage programming for water resources management in an environment of fuzziness and randomness. Stochastic Environmental Research and Risk Assessment, 26 (2). 261-280 doi:10.1007/s00477-011-0503-7
Guo, Ping, Chen, Xiaohong, Li, Mo, Li, Jianbing (2014) Fuzzy chance-constrained linear fractional programming approach for optimal water allocation. Stochastic Environmental Research and Risk Assessment, 28 (6). 1601-1612 doi:10.1007/s00477-013-0810-2
Xie, Y. L., Huang, G. H. (2014) Development of an inexact two-stage stochastic model with downside risk control for water quality management and decision analysis under uncertainty. Stochastic Environmental Research and Risk Assessment, 28 (6). 1555-1575 doi:10.1007/s00477-013-0834-7
Zhuang, X. W., Li, Y. P., Huang, G. H., Zeng, X. T. (2015) An inexact joint-probabilistic programming method for risk assessment in water resources allocation. Stochastic Environmental Research and Risk Assessment, 29 (5). 1287-1301 doi:10.1007/s00477-014-1008-y
 
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