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Volumn 69, Issue , 2014, Pages 122-145

Analyzing the impact of intermodal-related risk to the design and management of biofuel supply chain

Author keywords

Benders decomposition; Densified biomass; Intermodal hub disruption; Rail and barge transportation; Supply chain design

Indexed keywords

BIOFUELS; COMPUTATIONAL COMPLEXITY; INTERMODAL TRANSPORTATION; SUPPLY CHAINS;

EID: 84907386265     PISSN: 13665545     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tre.2014.06.008     Document Type: Article
Times cited : (89)

References (81)
  • 1
    • 85169182264 scopus 로고    scopus 로고
    • Advameg Inc.. Available from: <>.
    • Advameg Inc., 2013. Available from: <>. http://www.city-data.com/.
    • (2013)
  • 2
    • 79960845978 scopus 로고    scopus 로고
    • A mathematical model to design a lignocellulosic biofuel supply chain system with a case study based on a region in central Texas
    • An H., Wilhelm W.E., Searcy S.W. A mathematical model to design a lignocellulosic biofuel supply chain system with a case study based on a region in central Texas. Bioresource Technol. 2011, 102:7860-7870.
    • (2011) Bioresource Technol. , vol.102 , pp. 7860-7870
    • An, H.1    Wilhelm, W.E.2    Searcy, S.W.3
  • 4
    • 0029352467 scopus 로고
    • Networking policies for hub-and-spoke with applications to the air transportation system
    • Aykin T. Networking policies for hub-and-spoke with applications to the air transportation system. Transp. Sci. 1995, 29(3):201-221.
    • (1995) Transp. Sci. , vol.29 , Issue.3 , pp. 201-221
    • Aykin, T.1
  • 5
    • 78149500409 scopus 로고    scopus 로고
    • Biofuel refinery location and supply chain planning under traffic congestion
    • Bai Y., Hwang T., Kang S., Ouyang Y. Biofuel refinery location and supply chain planning under traffic congestion. Transp. Res. Part B Meth. 2011, 45(1):162-175.
    • (2011) Transp. Res. Part B Meth. , vol.45 , Issue.1 , pp. 162-175
    • Bai, Y.1    Hwang, T.2    Kang, S.3    Ouyang, Y.4
  • 6
    • 9644308639 scopus 로고
    • Partitioning procedures for solving mixed-variables programming problems
    • Benders J.F. Partitioning procedures for solving mixed-variables programming problems. Numer. Math. 1962, 4:238-252.
    • (1962) Numer. Math. , vol.4 , pp. 238-252
    • Benders, J.F.1
  • 7
    • 85169180170 scopus 로고    scopus 로고
    • Bioenergy Knowledge Discovery Framework (KDF). Available from: <>.
    • Bioenergy Knowledge Discovery Framework (KDF), 2013. Available from: <>. http://https://bioenergykdf.net/taxonomy/term/1036.
    • (2013)
  • 9
    • 84907396813 scopus 로고    scopus 로고
    • Available from: <>.
    • Brower, M., 2010. Woody biomass economics. Available from: <>. http://www.mosaicllc.com/documents/34.pdf.
    • (2010) Woody biomass economics
    • Brower, M.1
  • 10
    • 67349220670 scopus 로고    scopus 로고
    • Multiple allocation hub and spoke network design under hub congestion
    • Camargo R.S., Miranda G., Ferreira R., Luna H.P. Multiple allocation hub and spoke network design under hub congestion. Comput. Oper. Res. 2009, 36(12):3097-3106.
    • (2009) Comput. Oper. Res. , vol.36 , Issue.12 , pp. 3097-3106
    • Camargo, R.S.1    Miranda, G.2    Ferreira, R.3    Luna, H.P.4
  • 11
    • 33845929506 scopus 로고    scopus 로고
    • Solving the uncapacitated multiple allocation hub location problem by means of a dual-ascent technique
    • Canovas L., Garcia S., Marin A. Solving the uncapacitated multiple allocation hub location problem by means of a dual-ascent technique. Eur. J. Oper. Res. 2007, 179(3):900-1007.
    • (2007) Eur. J. Oper. Res. , vol.179 , Issue.3 , pp. 900-1007
    • Canovas, L.1    Garcia, S.2    Marin, A.3
  • 12
    • 80054091636 scopus 로고    scopus 로고
    • Bioethanol supply chain system planning under supply and demand uncertainities
    • Chen C.W., Fan Y. Bioethanol supply chain system planning under supply and demand uncertainities. Transp. Res. Part E 2012, 48:150-164.
    • (2012) Transp. Res. Part E , vol.48 , pp. 150-164
    • Chen, C.W.1    Fan, Y.2
  • 14
    • 79951885279 scopus 로고    scopus 로고
    • The dynamic uncapacitated hub location problem
    • Contreras I., Cordeau J., Laporte G. The dynamic uncapacitated hub location problem. Transp. Sci. 2011, 45(1):18-32.
    • (2011) Transp. Sci. , vol.45 , Issue.1 , pp. 18-32
    • Contreras, I.1    Cordeau, J.2    Laporte, G.3
  • 15
    • 84871420240 scopus 로고    scopus 로고
    • Exact solution of large-scale hub location problems with multiple capacity levels
    • Contreras I., Cordeau J., Laporte G. Exact solution of large-scale hub location problems with multiple capacity levels. Transp. Sci. 2012, 46(4):439-459.
    • (2012) Transp. Sci. , vol.46 , Issue.4 , pp. 439-459
    • Contreras, I.1    Cordeau, J.2    Laporte, G.3
  • 16
    • 84855297105 scopus 로고    scopus 로고
    • Benders decomposition for large-scale uncapacitated hub location
    • Contreras I., Cordeau J.F., Laporte G. Benders decomposition for large-scale uncapacitated hub location. Oper. Res. 2011, 59(6):1477-1490.
    • (2011) Oper. Res. , vol.59 , Issue.6 , pp. 1477-1490
    • Contreras, I.1    Cordeau, J.F.2    Laporte, G.3
  • 17
    • 79952429335 scopus 로고    scopus 로고
    • Branch and price for large scale capacited hub location problems with single assignment
    • Contreras I., Diaz J.A., Fernandez E. Branch and price for large scale capacited hub location problems with single assignment. INFORMS J. Comput. 2011, 23(1):41-55.
    • (2011) INFORMS J. Comput. , vol.23 , Issue.1 , pp. 41-55
    • Contreras, I.1    Diaz, J.A.2    Fernandez, E.3
  • 18
    • 33747820137 scopus 로고    scopus 로고
    • An integrated model for logistics network design
    • Cordeau J.F., Pasin F., Solomon M.M. An integrated model for logistics network design. Ann. Oper. Res. 2006, 144(1):59-82.
    • (2006) Ann. Oper. Res. , vol.144 , Issue.1 , pp. 59-82
    • Cordeau, J.F.1    Pasin, F.2    Solomon, M.M.3
  • 19
  • 20
    • 77955879952 scopus 로고    scopus 로고
    • Reliable facility location under the risk of disruptions
    • Cui T., Ouyang Y., Shen Z.M. Reliable facility location under the risk of disruptions. Oper. Res. 2010, 58(4):998-1011.
    • (2010) Oper. Res. , vol.58 , Issue.4 , pp. 998-1011
    • Cui, T.1    Ouyang, Y.2    Shen, Z.M.3
  • 21
    • 33845932344 scopus 로고    scopus 로고
    • A genetic algorithm for the problem of configuring a hub-and-spoke network for a LTL trucking company in Brazil
    • Cunha C.B., Silva M.R. A genetic algorithm for the problem of configuring a hub-and-spoke network for a LTL trucking company in Brazil. Eur. J. Oper. Res. 2007, 179(3):747-758.
    • (2007) Eur. J. Oper. Res. , vol.179 , Issue.3 , pp. 747-758
    • Cunha, C.B.1    Silva, M.R.2
  • 22
    • 84989446468 scopus 로고
    • Application of an expected covering model to emergency medical service system design
    • Daskin M.S. Application of an expected covering model to emergency medical service system design. Decision Sci. 1982, 13(3):416-439.
    • (1982) Decision Sci. , vol.13 , Issue.3 , pp. 416-439
    • Daskin, M.S.1
  • 23
    • 0020707868 scopus 로고
    • A maximum expected covering location model: formulation, properties and heuristic solution
    • Daskin M.S. A maximum expected covering location model: formulation, properties and heuristic solution. Transp. Sci. 1983, 17(1):48-70.
    • (1983) Transp. Sci. , vol.17 , Issue.1 , pp. 48-70
    • Daskin, M.S.1
  • 24
    • 70450031013 scopus 로고    scopus 로고
    • Benders decomposition for hub location problems with economies of scale
    • de Camargo R.S., Miranda G., Luna H.P. Benders decomposition for hub location problems with economies of scale. Transp. Sci. 2009, 43(1):86-97.
    • (2009) Transp. Sci. , vol.43 , Issue.1 , pp. 86-97
    • de Camargo, R.S.1    Miranda, G.2    Luna, H.P.3
  • 25
    • 35248898324 scopus 로고    scopus 로고
    • Benders decomposition for the uncapacited multiple allocation hub location problem
    • de Camargo R.S., Miranda G., Luna H.P. Benders decomposition for the uncapacited multiple allocation hub location problem. Comput. Oper. Res. 2008, 35:1047-1064.
    • (2008) Comput. Oper. Res. , vol.35 , pp. 1047-1064
    • de Camargo, R.S.1    Miranda, G.2    Luna, H.P.3
  • 26
    • 0023363351 scopus 로고
    • Heuristic solution methods for two location problems with unreliable facilities
    • Drezner Z. Heuristic solution methods for two location problems with unreliable facilities. J. Oper. Res. Soc. 1987, 38(6):509-514.
    • (1987) J. Oper. Res. Soc. , vol.38 , Issue.6 , pp. 509-514
    • Drezner, Z.1
  • 27
    • 71849116500 scopus 로고    scopus 로고
    • Analyzing the design and management of biomass-to-biorefinery supply chain
    • Eksioglu S.D., Acharya A., Leightley L.E., Arora S. Analyzing the design and management of biomass-to-biorefinery supply chain. Comput. Ind. Eng. 2009, 57:1342-1352.
    • (2009) Comput. Ind. Eng. , vol.57 , pp. 1342-1352
    • Eksioglu, S.D.1    Acharya, A.2    Leightley, L.E.3    Arora, S.4
  • 28
    • 79951536690 scopus 로고    scopus 로고
    • Analyzing impact of intermodal facilities on design and management of biofuel supply chain
    • Eksioglu S.D., Li S., Zhang S., Sokhansanj S., Petrolia D. Analyzing impact of intermodal facilities on design and management of biofuel supply chain. Transp. Res. Rec. 2010, 2191:144-151.
    • (2010) Transp. Res. Rec. , vol.2191 , pp. 144-151
    • Eksioglu, S.D.1    Li, S.2    Zhang, S.3    Sokhansanj, S.4    Petrolia, D.5
  • 29
    • 9544251407 scopus 로고    scopus 로고
    • Hub-and-spoke network design with congestion
    • Elhedhli S., Hu F.X. Hub-and-spoke network design with congestion. Comput. Oper. Res. 2005, 32(6):1615-1632.
    • (2005) Comput. Oper. Res. , vol.32 , Issue.6 , pp. 1615-1632
    • Elhedhli, S.1    Hu, F.X.2
  • 30
    • 77952037220 scopus 로고    scopus 로고
    • A lagrangean heuristic for hub-and-spoke system design with capacity selection and congestion
    • Elhedhli S., Wu H. A lagrangean heuristic for hub-and-spoke system design with capacity selection and congestion. INFORMS J. Comput. 2010, 22(2):282-296.
    • (2010) INFORMS J. Comput. , vol.22 , Issue.2 , pp. 282-296
    • Elhedhli, S.1    Wu, H.2
  • 31
    • 0004197556 scopus 로고    scopus 로고
    • Federal Highway Administration (FHWA), Available from: <>.
    • Federal Highway Administration (FHWA), 2002. Corrosion costs and preventive strategies in the United States. Available from: <>. http://www.nace.org/uploadedFiles/Publications/ccsupp.pdf.
    • (2002) Corrosion costs and preventive strategies in the United States
  • 32
    • 84862014777 scopus 로고    scopus 로고
    • Design under uncertainty of hydrocarbon biorefinery supply chains: multiobjective stochastic programming models, decomposition algorithm, and a comparison between CVaR and downside risk
    • Gebreslassie B.H., Yao Y., You F. Design under uncertainty of hydrocarbon biorefinery supply chains: multiobjective stochastic programming models, decomposition algorithm, and a comparison between CVaR and downside risk. AIChE J. 2012, 58(7):2155-2179.
    • (2012) AIChE J. , vol.58 , Issue.7 , pp. 2155-2179
    • Gebreslassie, B.H.1    Yao, Y.2    You, F.3
  • 33
    • 85169180543 scopus 로고    scopus 로고
    • General Algebraic Modeling System (GAMS). Available from: <>.
    • General Algebraic Modeling System (GAMS), 2013. Available from: <>. http://www.gams.com/.
    • (2013)
  • 34
    • 0015973449 scopus 로고
    • Multicommodity distributed system design by Benders decomposition
    • Geoffrion A.M., Graves G.W. Multicommodity distributed system design by Benders decomposition. Manage. Sci. 1974, 20:822-844.
    • (1974) Manage. Sci. , vol.20 , pp. 822-844
    • Geoffrion, A.M.1    Graves, G.W.2
  • 35
    • 84873957347 scopus 로고    scopus 로고
    • Cost analysis for high-volume and long-haul transportation of densified biomass feedstock
    • Gonzales D., Searcy E.M., Eksioglu S.D. Cost analysis for high-volume and long-haul transportation of densified biomass feedstock. Transp. Res. Part A 2013, 49:48-61.
    • (2013) Transp. Res. Part A , vol.49 , pp. 48-61
    • Gonzales, D.1    Searcy, E.M.2    Eksioglu, S.D.3
  • 36
    • 45349087013 scopus 로고    scopus 로고
    • An adaptive regional input-output model and its application to the assessment of the economic cost of Katrina
    • Hallegatte S. An adaptive regional input-output model and its application to the assessment of the economic cost of Katrina. Risk Anal. 2008, 28(3):779-799.
    • (2008) Risk Anal. , vol.28 , Issue.3 , pp. 779-799
    • Hallegatte, S.1
  • 37
    • 84943817322 scopus 로고
    • Error detecting and error correcting codes
    • Hamming R.W. Error detecting and error correcting codes. Bell Syst. Tech. J. 1950, 9:147-160.
    • (1950) Bell Syst. Tech. J. , vol.9 , pp. 147-160
    • Hamming, R.W.1
  • 39
    • 77954315401 scopus 로고    scopus 로고
    • Multistage optimization of the supply chains of biofuels
    • Huang Y., Chen C.W., Fan Y. Multistage optimization of the supply chains of biofuels. Transp. Res. Part E 2010, 46(6):820-830.
    • (2010) Transp. Res. Part E , vol.46 , Issue.6 , pp. 820-830
    • Huang, Y.1    Chen, C.W.2    Fan, Y.3
  • 40
    • 84901000814 scopus 로고    scopus 로고
    • Optimization of resilient biofuel infrastructure systems under natural hazards.
    • Huang, Y., Pang, W., 2013. Optimization of resilient biofuel infrastructure systems under natural hazards. J. Energy Eng. doi:10.1061/(ASCE)EY.1943-7897.0000138.
    • (2013) J. Energy Eng.
    • Huang, Y.1    Pang, W.2
  • 41
    • 85029892313 scopus 로고    scopus 로고
    • Reconfiguration strategies for mitigating the impacts of port disruptions
    • Final Report. METRANS Project 07-14.
    • Ioannou, P., Chassiakos, A., Abadi, A., Chang, H., Jula, H., Lestas, M., Saggam, L., Thomas, D., Wang, Y., 2011. Reconfiguration strategies for mitigating the impacts of port disruptions. Final Report. METRANS Project 07-14.
    • (2011)
    • Ioannou, P.1    Chassiakos, A.2    Abadi, A.3    Chang, H.4    Jula, H.5    Lestas, M.6    Saggam, L.7    Thomas, D.8    Wang, Y.9
  • 42
    • 84907393988 scopus 로고    scopus 로고
    • A simulated annealing-based heuristic for the single allocation maximal covering hub location problem
    • Jabalameli M.S., Barzinpour F., Saboury A., Ghaffari-Nasab N. A simulated annealing-based heuristic for the single allocation maximal covering hub location problem. Int. J. Metaheuristics 2012, 2(1):15-37.
    • (2012) Int. J. Metaheuristics , vol.2 , Issue.1 , pp. 15-37
    • Jabalameli, M.S.1    Barzinpour, F.2    Saboury, A.3    Ghaffari-Nasab, N.4
  • 43
    • 67650483306 scopus 로고    scopus 로고
    • Reliable p-hub location problems in telecommunication networks
    • Kim H., O'Kelly M.E. Reliable p-hub location problems in telecommunication networks. Geog. Anal. 2009, 41(3):283-306.
    • (2009) Geog. Anal. , vol.41 , Issue.3 , pp. 283-306
    • Kim, H.1    O'Kelly, M.E.2
  • 44
    • 79960606919 scopus 로고    scopus 로고
    • Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty
    • Kim J., Realff M.J., Lee J.H. Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty. Comput. Chem. Eng. 2011, 35:1738-1751.
    • (2011) Comput. Chem. Eng. , vol.35 , pp. 1738-1751
    • Kim, J.1    Realff, M.J.2    Lee, J.H.3
  • 45
    • 10944235423 scopus 로고    scopus 로고
    • Pipeline transport and simultaneously saccharification of corn stover
    • Kumar A., Cameron J.B., Flynn P.C. Pipeline transport and simultaneously saccharification of corn stover. Bioresource Technol. 2005, 96(7):819-829.
    • (2005) Bioresource Technol. , vol.96 , Issue.7 , pp. 819-829
    • Kumar, A.1    Cameron, J.B.2    Flynn, P.C.3
  • 46
    • 84872414247 scopus 로고    scopus 로고
    • Reliable facility location design under disruptions
    • Li Q., Zeng B., Savachkin A. Reliable facility location design under disruptions. Comput. Oper. Res. 2013, 40:901-909.
    • (2013) Comput. Oper. Res. , vol.40 , pp. 901-909
    • Li, Q.1    Zeng, B.2    Savachkin, A.3
  • 47
    • 77549084109 scopus 로고    scopus 로고
    • A continuous approximation approach to reliable facility location design under correlated probabilistic disruptions
    • Li X., Ouyang Y. A continuous approximation approach to reliable facility location design under correlated probabilistic disruptions. Transp. Res. Part B 2010, 44:535-548.
    • (2010) Transp. Res. Part B , vol.44 , pp. 535-548
    • Li, X.1    Ouyang, Y.2
  • 48
    • 84907393402 scopus 로고    scopus 로고
    • Effects of disruption risks on biorefinery location design: discrete and continuous models
    • Washington, DC, January 2011.
    • Li, X., Peng, F., Bai, Y., Ouyang, Y., 2011. Effects of disruption risks on biorefinery location design: discrete and continuous models. In: Proceeding of the 90th TRB Annual Meeting, Washington, DC, January 2011.
    • (2011) Proceeding of the 90th TRB Annual Meeting
    • Li, X.1    Peng, F.2    Bai, Y.3    Ouyang, Y.4
  • 49
    • 0019563311 scopus 로고
    • Acclerating Benders decomposition: algorithmic enhancement and model selection criteria
    • Magnanti T.L., Wong R.T. Acclerating Benders decomposition: algorithmic enhancement and model selection criteria. Oper. Res. 1981, 29:464-484.
    • (1981) Oper. Res. , vol.29 , pp. 464-484
    • Magnanti, T.L.1    Wong, R.T.2
  • 50
    • 33646875069 scopus 로고    scopus 로고
    • Rail vs. truck transport of biomass
    • Mahmudi H., Flynn P. Rail vs. truck transport of biomass. Appl. Biochem. Biotechnol. 2006, 129(1):88-103.
    • (2006) Appl. Biochem. Biotechnol. , vol.129 , Issue.1 , pp. 88-103
    • Mahmudi, H.1    Flynn, P.2
  • 51
    • 85169186197 scopus 로고    scopus 로고
    • National Centers for Environmental Prediction. Available from: <>.
    • National Centers for Environmental Prediction, 2013. A special spring extremes report. Available from: <>. http://www.ncdc.noaa.gov/special-reports/2011-spring-extremes/.
    • (2013) A special spring extremes report
  • 52
    • 85169182290 scopus 로고    scopus 로고
    • National Drought Mitigation Center. Available from: <>.
    • National Drought Mitigation Center, 2013. Current climate summary maps-powered by ACIS. Available from: <>. http://www.hprcc.unl.edu/maps/current/index.php?action=update-product&product=SPIData.
    • (2013) Current climate summary maps-powered by ACIS
  • 53
    • 85169182849 scopus 로고    scopus 로고
    • National Oceanic and Atmospheric Administration. Hurricane Katrina. Available from: <>.
    • National Oceanic and Atmospheric Administration, 2005. Hurricane Katrina. Available from: <>. http://www1.ncdc.noaa.gov/pub/data/extremeevents/specialreports/Hurrican e-Katrina.pdf.
    • (2005)
  • 54
    • 84907398736 scopus 로고    scopus 로고
    • Pacific Northwest National Laboratory. Available from: <>.
    • Pacific Northwest National Laboratory, 2013. Looking back at the August 2003 blackout. Available from: <>. http://eioc.pnnl.gov/research/2003blackout.stm.
    • (2013) Looking back at the August 2003 blackout
  • 55
    • 46449120711 scopus 로고    scopus 로고
    • Practical enhancements to the Magnanti-Wong method
    • Papadakos N. Practical enhancements to the Magnanti-Wong method. Oper. Res. Lett. 2008, 36:444-449.
    • (2008) Oper. Res. Lett. , vol.36 , pp. 444-449
    • Papadakos, N.1
  • 57
    • 84886719681 scopus 로고    scopus 로고
    • Post-seismic supply chain risk management: a system dynamics disruption analysis approach for inventory and logistics planning
    • Peng M., Peng Y., Chen H. Post-seismic supply chain risk management: a system dynamics disruption analysis approach for inventory and logistics planning. Comput. Oper. Res. 2014, 42:14-24.
    • (2014) Comput. Oper. Res. , vol.42 , pp. 14-24
    • Peng, M.1    Peng, Y.2    Chen, H.3
  • 59
    • 0000365133 scopus 로고    scopus 로고
    • Decomposition methods in stochastic programming
    • Ruszczynski A. Decomposition methods in stochastic programming. Math. Program. 1997, 79(1):333-353.
    • (1997) Math. Program. , vol.79 , Issue.1 , pp. 333-353
    • Ruszczynski, A.1
  • 60
    • 13544260501 scopus 로고    scopus 로고
    • A stochastic programming approach for supply chain network design under uncertainty
    • Santoso T., Ahmed S., Goetschalckx M., Shapiro A. A stochastic programming approach for supply chain network design under uncertainty. Eur. J. Oper. Res. 2005, 167:96-115.
    • (2005) Eur. J. Oper. Res. , vol.167 , pp. 96-115
    • Santoso, T.1    Ahmed, S.2    Goetschalckx, M.3    Shapiro, A.4
  • 61
    • 84861636902 scopus 로고    scopus 로고
    • Real-time freight locomotive rescheduling and uncovered train detection during disruption
    • Sato K., Fukumura N. Real-time freight locomotive rescheduling and uncovered train detection during disruption. Eur. J. Oper. Res. 2012, 221:636-648.
    • (2012) Eur. J. Oper. Res. , vol.221 , pp. 636-648
    • Sato, K.1    Fukumura, N.2
  • 62
    • 84924431710 scopus 로고    scopus 로고
    • Available from: <>.
    • Schill, S.R., 2010. Flooding impacts Iowa ethanol. Available from: <>. http://www.ethanolproducer.com/articles/4333/flooding-impacts-iowa-ethan ol.
    • (2010) Flooding impacts Iowa ethanol
    • Schill, S.R.1
  • 64
    • 79961088807 scopus 로고    scopus 로고
    • The reliable facility location problem: formulations, heuristics, and approximation algorithms
    • Shen J.M., Zhan R.L., Zhang J. The reliable facility location problem: formulations, heuristics, and approximation algorithms. INFORMS J. Comput. 2011, 23(3):470-482.
    • (2011) INFORMS J. Comput. , vol.23 , Issue.3 , pp. 470-482
    • Shen, J.M.1    Zhan, R.L.2    Zhang, J.3
  • 65
    • 67349138178 scopus 로고    scopus 로고
    • The stochastic p-hub center problem with service-level constraints
    • Sim T., Lowe T.J., Thomas B.W. The stochastic p-hub center problem with service-level constraints. Comput. Oper. Res. 2009, 36:3166-3177.
    • (2009) Comput. Oper. Res. , vol.36 , pp. 3166-3177
    • Sim, T.1    Lowe, T.J.2    Thomas, B.W.3
  • 66
    • 25144463125 scopus 로고    scopus 로고
    • Reliability models for facility location: the expected failure cost case
    • Snyder L.V., Daskin M.S. Reliability models for facility location: the expected failure cost case. Transp. Sci. 2005, 39(3):400-416.
    • (2005) Transp. Sci. , vol.39 , Issue.3 , pp. 400-416
    • Snyder, L.V.1    Daskin, M.S.2
  • 67
    • 84907383874 scopus 로고    scopus 로고
    • State Climate Office at North Carolina. Available from: <>.
    • State Climate Office at North Carolina, 2012. Total storms affecting NC by decades within 150 miles (1851-2012). Available from: <>. http://www.nc-climate.ncsu.edu/climate/hurricanes/statistics.php.
    • (2012) Total storms affecting NC by decades within 150 miles (1851-2012)
  • 69
    • 85169176428 scopus 로고    scopus 로고
    • Tennessee State Library and Archives. Flooding in Tennessee. Available from: <>.
    • Tennessee State Library and Archives. Flooding in Tennessee, 2013. Available from: <>. http://www.tennessee.gov/tsla/exhibits/disasters/floods2.htm.
    • (2013)
  • 70
    • 85169186171 scopus 로고    scopus 로고
    • Texas Water Development Board. Drought information summary. Available from: <>.
    • Texas Water Development Board, 2013. Drought information summary. Available from: <>. http://www.twdb.state.tx.us/apps/droughtinfo/default.aspx.
    • (2013)
  • 71
    • 84907404167 scopus 로고    scopus 로고
    • The Ojos Negros Research Group. Available from: <>.
    • The Ojos Negros Research Group, 2013. Drought facts. Available from: <>. http://ponce.sdsu.edu/three-issues-droughtfacts03.html.
    • (2013) Drought facts
  • 73
    • 85169175293 scopus 로고    scopus 로고
    • United States Drought Monitor. Available from: <>.
    • United States Drought Monitor, 2013. US drought monitor data archive. Available from: <>. http://www.droughtmonitor.unl.edu/DataArchive.aspx.
    • (2013) US drought monitor data archive
  • 74
    • 85169183362 scopus 로고    scopus 로고
    • How do I Measure Drought?
    • University of Nebraska Lincoln. Available from: <>.
    • University of Nebraska Lincoln, 2013. How do I Measure Drought? The National Drought Mitigation Center. Available from: <>. http://drought.unl.edu/ranchplan/DroughtBasics/WeatherDrought/MeasuringD rought.aspx.
    • (2013) The National Drought Mitigation Center
  • 75
    • 85169180759 scopus 로고    scopus 로고
    • US Department of the Interior. US Geological Survey. Available from: <>.
    • US Department of the Interior, 2013. Mississippi Earthquake History. US Geological Survey. Available from: <>. http://earthquake.usgs.gov/earthquakes/states/mississippi/history.php.
    • (2013) Mississippi Earthquake History
  • 76
    • 0042261427 scopus 로고    scopus 로고
    • US Energy Information Administration. Available from: <>.
    • US Energy Information Administration, 2013. International energy statistics. Available from: <>. http://www.eia.gov/cfapps/ipdbproject/iedindex3.cfm?tid=79&pid=80&aid=1&cid=regions&syid=2000&eyid=2011&unit=TBPD.
    • (2013) International energy statistics
  • 78
    • 84874789334 scopus 로고    scopus 로고
    • A continuous approximation approach to competitive facility location design under facility disruption risks
    • Wang X., Ouyang Y. A continuous approximation approach to competitive facility location design under facility disruption risks. Transp. Res. Part B 2013, 50:90-103.
    • (2013) Transp. Res. Part B , vol.50 , pp. 90-103
    • Wang, X.1    Ouyang, Y.2
  • 79
    • 84887816406 scopus 로고    scopus 로고
    • Optimal biofuel supply chain design under consumption mandates with renewable identification numbers
    • Wang X., Ouyang Y., Yang H., Bai Y. Optimal biofuel supply chain design under consumption mandates with renewable identification numbers. Transp. Res. Part B Meth. 2013, 57:158-171.
    • (2013) Transp. Res. Part B Meth. , vol.57 , pp. 158-171
    • Wang, X.1    Ouyang, Y.2    Yang, H.3    Bai, Y.4
  • 80
    • 80052359753 scopus 로고    scopus 로고
    • Optimal design of sustainable cellulosic biofuel supply chains: multiobjective optimization coupled with life cycle assessment and input-output analysis
    • You F., Tao L., Graziano D.J., Snyder S.W. Optimal design of sustainable cellulosic biofuel supply chains: multiobjective optimization coupled with life cycle assessment and input-output analysis. AIChE J. 2012, 58(4):1157-1180.
    • (2012) AIChE J. , vol.58 , Issue.4 , pp. 1157-1180
    • You, F.1    Tao, L.2    Graziano, D.J.3    Snyder, S.W.4
  • 81
    • 70350452579 scopus 로고    scopus 로고
    • Spatially explicit static model for the strategic design of future bioethanol production systems. 1. Cost Minimization
    • Zamboni A., Shah N., Bezzo F. Spatially explicit static model for the strategic design of future bioethanol production systems. 1. Cost Minimization. Energy Fuels 2009, 23(10):5121-5133.
    • (2009) Energy Fuels , vol.23 , Issue.10 , pp. 5121-5133
    • Zamboni, A.1    Shah, N.2    Bezzo, F.3


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