A heuristic relief transportation planning algorithm for emergency supply chain management

References

• Anderson , A. I. , Compton , D. and Mason , T. 2004 . Managing in a dangerous world—the national incident management system . Eng. Manage. J , 16 ( 4 ) : 3 – 9 .
   Google Scholar
• Awadh , B. , Hawaleshka , O. and Sepehri , N. 1995 . A computer-aided process planning model based on genetic algorithms . Comp. Oper. Res. , 22 ( 8 ) : 841 – 856 .
   Web of Science ®Google Scholar
• Beamon , B. M. 1998 . Supply chain design and analysis: models and methods . Int. J. Prod. Econ. , 55 ( 3 ) : 281 – 294 .
   Web of Science ®Google Scholar
• Chaiken , J. M. and Dormontr , P. 1978 . A patrol car allocation model: background . Manage. Sci. , 24 ( 12 ) : 1280 – 1290 .
   Web of Science ®Google Scholar
• Chen , S. Y. and Chern , C. C. Shortest path for a supply chain network . The Fourth Asian Pacific Decision Sciences Institute Conference . Shanghai, China.
   Google Scholar
• Chern , C. C. , Chien , P. S. and Chen , S. Y. 2008 . A heuristic algorithm for the hospital health examination scheduling problem . Eur. J. Operat. Res. , 186 ( 11 ) : 1137 – 1157 .
   Web of Science ®Google Scholar
• Chern , C. C. , Chen , Y. L. and Kung , L. C. 2008 . MIP model for the aftermath demand planning problem and solutions for 921 Earthquake in Taiwan and Hurricane Katrina in New Orleans, U.S.A. using ERTPA . Technical Report, Available upon Request
   Google Scholar
• Chiu , Y. C. and Zheng , H. 2007 . Real-time mobilization decisions for multi-priority emergency response resources and evacuation groups: model formulation and solution . Transport. Res. , : 710 – 736 . Part E 43
   Google Scholar
• Erenguç , S. S. , Simpson , N. C. and Vakharia , A. J. 1999 . Integrated production/distribution planning in supply chains: an invited review . Eur. J. Operat. Res. , 115 ( 2 ) : 219 – 236 .
   Web of Science ®Google Scholar
• Fritz Institute, “Logistics and the effective delivery of humanitarian relief,” Fritz Institute, 2005
   Google Scholar
• Fitzsimmons , J. A. 1973 . A methodology for emergency ambulance deployment . Manage. Sci. , 19 ( 6 ) : 672 – 636 .
   Web of Science ®Google Scholar
• Green , L. V. and Kolesar , P. J. 2004 . Improving emergency responsiveness with management science . Manage. Sci. , 50 ( 8 ) : 1001 – 1014 .
   Web of Science ®Google Scholar
• Helbing , D. and Kühnert , C. 2003 . Accessing interaction networks with applications to catastrophe dynamics and disaster management . Phys. A: Stat. Mech. Appl. , 328 ( 3–4 ) : 584 – 606 .
   Web of Science ®Google Scholar
• Jayaraman , V. and Pirkul , H. 2001 . Planning and coordination of production and distribution facilities for multiple commodities . Eur. J. Oper. Res. , 133 : 394 – 408 .
   Web of Science ®Google Scholar
• Kreipl , S. and Pinedo , M. 2004 . Planning and scheduling in supply chains: an overview of issues in practice . Prod. Oper. Manage , 13 ( 1 ) : 77 – 92 .
   Web of Science ®Google Scholar
• Lakhal , S. , Martel , A. , Kettani , O. and Oral , M. 2001 . On the optimization of supply chain networking decisions . Eur. J. Operat. Res. , 129 : 259 – 270 .
   Web of Science ®Google Scholar
• Larson , R. C. 2004 . O.R. models for homeland security . 31 ( 5 ) : 22 – 29 . OR/MS Today
   Google Scholar
• Lee , Y. H. and Kim , S. H. 2002 . Production–distribution planning in supply chain considering capacity constraints . Comp. Indust. Eng. , 43 : 169 – 190 .
   Web of Science ®Google Scholar
• Kolesar , P. , Rider , K. , Crabill , T. and Walker , W. 1975 . A queuing linear programming approach to scheduling police cars . Oper. Res. , 23 : 1045 – 1062 .
   Web of Science ®Google Scholar
• Maloney , D. 1999 . A supply chain of hope: caring for the Kosovo refugees . Modern Mater. Handl. , 54 ( 7 ) : 16 – 18 .
   Google Scholar
• Min , H. and Zhou , G. 2002 . Supply chain modeling: past, present and future . Comput. Indust. Eng. , 43 : 231 – 249 .
   Web of Science ®Google Scholar
• National Oceanic Atmospheric Administration (NOAA), U.S. Department of Commerce, Hurricane Katrina, http://www.katrina.noaa.gov/index.html, 2005
   Google Scholar
• Pikul , H. and Jayaraman , V. 1998 . A multi-commodity, multi-plant, capacitated facility location problem: formulation and efficient heuristic solution . Comput. Oper. Res. , 25 ( 10 ) : 869 – 878 .
   Web of Science ®Google Scholar
• Petrovic , D. , Duenas , A. and Petrovic , S. 2007 . Decision support tool for multi-objective job shop scheduling problems with linguistically quantified decision functions . Decis. Support Syst. , 43 : 1527 – 1538 .
   Web of Science ®Google Scholar
• Sheikn , K. 2003 . “ Manufacturing Resource Planning (MRP II) with an Introduction to ERP, SCM, and CRM ” . Singapore : McGraw Hill Companies, Inc .
   Google Scholar
• Stadtler , H. and Kilger , C. 2000 . “ Supply Chain Management and Advanced Planning ” . Berlin Heidelberg : Springer-Verlag .
   Google Scholar
• Wolff , R. W. 1989 . “ Stochastic Modeling and the Theory of Queues ” . Englewood Cliffs, NJ : Prentice Hall .
   Google Scholar