A possibilistic programming approach for the location problem of multiple cross-docks and vehicle routing scheduling under uncertainty

References

• Afonso Santos , F. , Mateus , G. R. and Salles da Cunha , A. 2011 . A branch-and-price algorithm for a vehicle routing problem with cross-docking . Electronic Notes in Discrete Mathematics , 37 : 249 – 254 . (doi:10.1016/j.endm.2011.05.043)
   Google Scholar
• Alpan , G. 2011 . Heuristic solutions for transshipment problems in a multiple door cross docking warehouse . Computers & Industrial Engineering , 61 : 402 – 408 . (doi:10.1016/j.cie.2010.09.010)
   Web of Science ®Google Scholar
• Apte , U. M. and Viswanathan , S. 2000 . Effective cross docking for improving distribution efficiencies . International Journal of Logistics: Research and Applications , 3 : 291 – 302 . (doi:10.1080/713682769)
   Google Scholar
• Arenas-Parra , M. 2005 . Solving a multiobjective possibilistic problem through compromise programming . European Journal of Operational Research , 164 : 748 – 759 . (doi:10.1016/j.ejor.2003.11.028)
   Web of Science ®Google Scholar
• Bartholdi , J. J. III and Gue , K. R. 2004 . The best shape for a cross dock . Transportation Science , 38 : 235 – 244 . (doi:10.1287/trsc.1030.0077)
   Web of Science ®Google Scholar
• Chen , S.-P. and Chang , P.-C. 2006 . A mathematical programming approach to supply chain models with fuzzy parameters . Engineering Optimization , 38 : 647 – 669 . (doi:10.1080/03052150600716116)
   Web of Science ®Google Scholar
• Fung , R. Y.K. 2005 . A fuzzy expected value-based goal programing model for product planning using quality function deployment . Engineering Optimization , 37 : 633 – 645 . (doi:10.1080/03052150500132646)
   Web of Science ®Google Scholar
• Gümüs , M. and Bookbinder , J. H. 2004 . Cross-docking and its implications in location-distribution system . Journal of Business Logistics , 25 : 199 – 228 . (doi:10.1002/j.2158-1592.2004.tb00187.x)
   Google Scholar
• Hsu , H. M. and Wang , W. P. 2001 . Possibilistic programming in production planning of assemble-to-order environments . Fuzzy Sets and Systems , 119 : 59 – 70 . (doi:10.1016/S0165-0114(99)00086-X)
   Web of Science ®Google Scholar
• Inuiguchi , M. and 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 . (doi:10.1016/S0165-0114(98)00449-7)
   Web of Science ®Google Scholar
• Jayaraman , V. and Ross , A. 2003 . A simulated annealing methodology to distribution network design and management . European Journal of Operational Research , 144 : 629 – 645 . (doi:10.1016/S0377-2217(02)00153-4)
   Web of Science ®Google Scholar
• Jimenez , M. 2007 . Linear programming with fuzzy parameters: an interactive method resolution . European Journal of Operational Research , 177 : 1599 – 1609 . (doi:10.1016/j.ejor.2005.10.002)
   Web of Science ®Google Scholar
• Klose , A. and Drexl , A. 2005 . Facility location models for distribution system design . European Journal of Operational Research , 162 : 4 – 29 . (doi:10.1016/j.ejor.2003.10.031)
   Web of Science ®Google Scholar
• Kumar , M. , Vrat , P. and Shankar , R. 2006 . A fuzzy programming approach for vendor selection problem in a supply chain . International Journal of Production Economics , 101 : 273 – 285 . (doi:10.1016/j.ijpe.2005.01.005)
   Web of Science ®Google Scholar
• Lai , Y. J. and Hwang , C. L. 1992 . A new approach to some possibilistic linear programming problems . Fuzzy Sets and Systems , 49 : 121 – 133 . (doi:10.1016/0165-0114(92)90318-X)
   Web of Science ®Google Scholar
• Lai , Y. J. and Hwang , C. L. 1993 . Possibilistic linear programming for managing interest rate risk . Fuzzy Sets and Systems , 54 : 135 – 146 . (doi:10.1016/0165-0114(93)90271-I)
   Web of Science ®Google Scholar
• Lee , Y. H. , Jung , J. W. and Lee , K. M. 2006 . Vehicle routing scheduling for cross-docking in the supply chain . Computers & Industrial Engineering , 51 : 247 – 256 . (doi:10.1016/j.cie.2006.02.006)
   Web of Science ®Google Scholar
• Liang , T. F. 2006 . Distribution planning decisions using interactive fuzzy multi-objective linear programming . Fuzzy Sets and Systems , 157 : 1303 – 1316 . (doi:10.1016/j.fss.2006.01.014)
   Web of Science ®Google Scholar
• Liao , C.-J. , Lin , Y. and Shih , S. C. 2010 . Vehicle routing with cross-docking in the supply chain . Expert Systems with Applications , 37 : 6868 – 6873 . (doi:10.1016/j.eswa.2010.03.035)
   Web of Science ®Google Scholar
• Makui , A. , Haerian , L. and Eftekhar , M. 2006 . Designing a multi-objective nonlinear cross-docking location allocation model using genetic algorithm . Journal of Industrial Engineering International , 2 ( 3 ) : 27 – 42 .
   Google Scholar
• Marjani , M. R. , Moattar Husseini , S. M. and Karimi , B. 2012 . Bi-objective heuristics for multi-item freights distribution planning problem in crossdocking networks . International Journal of Advanced Manufacturing Technology , 58 : 1201 – 1216 . (doi:10.1007/s00170-011-3444-x)
   Web of Science ®Google Scholar
• Mula , J. , Poler , R. and Garcia , J. P. 2006 . MRP with flexible constraints: a fuzzy mathematical programming approach . Fuzzy Sets and Systems , 157 : 74 – 97 . (doi:10.1016/j.fss.2005.05.045)
   Web of Science ®Google Scholar
• Pishvaee , M. S. and Torabi , S. A. 2010 . A possibilistic programming approach for closed-loop supply chain network design under uncertainty . Fuzzy Sets and Systems , 161 : 2668 – 2683 . (doi:10.1016/j.fss.2010.04.010)
   Web of Science ®Google Scholar
• Ratliff , H. D. , Vate , J. V. and Zhang , M. 1998 . Network design for load-driven cross-docking systems Georgia Institute of Technology Research Report. Available from: http://www/isye.gatech.edu/research/files/misc9914.pdf
   Google Scholar
• Ross , A. and Jayaraman , V. 2008 . An evaluation of new heuristics for the location of cross-docks distribution centers in supply chain network design . Computers & Industrial Engineering , 55 : 64 – 79 . (doi:10.1016/j.cie.2007.12.001)
   Web of Science ®Google Scholar
• Schwind , G. F. 1995 . Considerations for cross docking . Material Handling Engineering , 50 ( 12 ) : 47 – 51 .
   Google Scholar
• Sung , C. S. and Song , S. H. 2003 . Integrated service network design for a cross-docking supply chain network . Journal of the Operational Research Society , 54 : 1283 – 1295 . (doi:10.1057/palgrave.jors.2601645)
   Web of Science ®Google Scholar
• Sung , C. S. and Yang , W. 2008 . An exact algorithm for a cross-docking supply chain network design problem . Journal of the Operational Research Society , 59 : 119 – 136 . (doi:10.1057/palgrave.jors.2602328)
   Web of Science ®Google Scholar
• Tang , S.-L. and Yan , H. 2010 . Pre-distribution vs. post-distribution for cross-docking with transshipments . Omega , 38 : 192 – 202 . (doi:10.1016/j.omega.2009.09.001)
   Web of Science ®Google Scholar
• Vahdani , B. 2012 . Two fuzzy possibilistic bi-objective zero–one programming models for outsourcing the equipment maintenance problem . Engineering Optimization , 44 : 801 – 820 . (doi:10.1080/0305215X.2011.613465)
   Web of Science ®Google Scholar
• Van Belle , J. , Valckenaers , P. and Cattrysse , D. 2012 . Cross-docking: state of the art . Omega , 40 : 827 – 846 . (doi:10.1016/j.omega.2012.01.005)
   Web of Science ®Google Scholar
• Wen , M. 2009 . Vehicle routing with cross-docking . Journal of the Operational Research Society , 60 : 1708 – 1718 . (doi:10.1057/jors.2008.108)
   Web of Science ®Google Scholar
• Wu , Y. , Dong , M. and Yang , D. Cross-docking centre operation optimization using simulation-based genetic algorithm . Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufactur , Vol. 225 , pp. 1175 – 1187 .
   Google Scholar