Logistics network design with inventory stocking for low-demand parts: Modeling and optimization

References

• Barahona , F. and Jensen , D. 1998 . Plant location with minimum inventory . Mathematical Programming , 83 : 101 – 111 .
   Web of Science ®Google Scholar
• Candas , M. and Kutanoglu , E. 2007 . Benefits of considering inventory in service parts logistics network design problems with time-based service constraints . IIE Transactions , 39 ( 2 ) : 159 – 176 .
   Web of Science ®Google Scholar
• Cohen , M. , Cull , C. , Lee , H. and Willen , D. 2000 . Saturn's supply chain innovation: high value in after sales service . MIT Sloan Management Review , 41 ( 4 ) : 93 – 101 .
   Web of Science ®Google Scholar
• Cohen , M. , Kamesam , P. , Kleindorfer , P. , Lee , H. and Tekerian , A. 1990 . OPTIMIZER: IBM's multi-echelon inventory system for managing service logistics . Interfaces , 20 ( 1 ) : 65 – 82 .
   Web of Science ®Google Scholar
• Cohen , M. , Kleindorfer , P. and Lee , H. 1988 . Service constrained (s, S) inventory systems with priority demand classes and lost sales . Management Science , 34 ( 4 ) : 482 – 499 .
   Web of Science ®Google Scholar
• Cohen , M. , Kleindorfer , P. and Lee , H. 1989 . Near-optimal service constrained stocking policies for spare parts . Operations Research , 37 ( 1 ) : 104 – 117 .
   Web of Science ®Google Scholar
• Cohen , M. , Kleindorfer , P. , Lee , H. and Pyke , D. 1992 . Multi-item service constrained (s, S) policies for spare parts logistics systems . Naval Research Logistics , 39 : 561 – 577 .
   Web of Science ®Google Scholar
• Cohen , M. and Lee , H. 1988 . Strategic analysis of integrated production-distribution systems: models and methods . Operations Research , 36 ( 2 ) : 216 – 228 .
   Web of Science ®Google Scholar
• Cohen , M. and Lee , H. 1990 . Out of touch with customer needs: spare parts and after sales service . MIT Sloan Management Review , 31 ( 2 ) : 55 – 66 .
   Google Scholar
• Cohen , M. , Zheng , Y.-S. and Agrawal , V. 1997 . Service parts logistics: a benchmark analysis . IIE Transactions , 29 : 627 – 639 .
   Web of Science ®Google Scholar
• Cohen , M. , Zheng , Y.-S. and Wang , Y. 1999 . Identifying opportunities for improving Teradyne's service parts logistics system . Interfaces , 29 ( 4 ) : 1 – 18 .
   Web of Science ®Google Scholar
• Daskin , M. 1995 . Network and Discrete Location: Models, Algorithms and Methods , New York , NY : Wiley .
   Google Scholar
• Daskin , M. , Coullard , C. and Shen , Z.-J. 2002 . An inventory-location model: formulation, solution algorithm and computational results . Annals of Operations Research , 110 : 13 – 106 .
   Web of Science ®Google Scholar
• Daskin , M. , Snyder , L. and Berger , R. 2005 . “ Facility location in supply chain design ” . In Logistics Systems: Design and Operations , Edited by: Langevin , A. and Riopel , D. 39 – 66 . New York , NY : Springer .
   Google Scholar
• Drezner , Z. 1995 . Facility Location: A Survey of Applications and Methods , New York , NY : Springer .
   Google Scholar
• Geoffrion , A. 1979 . Making better use of optimization capability in distribution system planning . AIIE Transactions , 11 ( 2 ) : 96 – 108 .
   Web of Science ®Google Scholar
• Geoffrion , A. 1989 . Integrated modeling systems . Computer Science in Economics and Management , 2 ( 1 ) : 3 – 15 .
   Google Scholar
• Geoffrion , A. and Powers , R. 1980 . Facility location analysis is just the beginning . Interfaces , 10 ( 2 ) : 22 – 30 .
   Web of Science ®Google Scholar
• Geoffrion , A. and Roy , T. V. 1979 . Caution: common sense planning methods can be hazardous to your corporate health . Sloan Management Review , 20 ( 4 ) : 31 – 42 .
   Google Scholar
• Goldberg , J. and Paz , L. 1991 . Locating emergency vehicle bases when service time depends on call location . Transportation Science , 25 : 264 – 280 .
   Web of Science ®Google Scholar
• Graves , S. C. , Rinnooy Kan , A. H.G. and Zipkin , P. H.P. Z. 1993 . Logistics for Production and Inventory, Handbook in Operations Research and Management Science , Vol. 4 , Amsterdam , , The Netherlands : North-Holland .
   Google Scholar
• Hopp , W. and Spearman , M. 2000 . Factory Physics, second edition , Burr Ridge , IL : McGraw Hill–Irwin .
   Google Scholar
• Johnson , L. and Montgomery , D. 1974 . Operations Research in Production Planning, Scheduling, and Inventory Control , New York , NY : Wiley .
   Google Scholar
• Magnanti , T. and Wong , R. 1984 . Network design and transportation planning: model and algorithms . Transportation Science , 18 : 1 – 55 .
   Web of Science ®Google Scholar
• Miranda , P. and Garrido , R. 2004 . Incorporating inventory control decisions into a strategic distribution network design model with stochastic demand . Transportation Research Part E , 40 : 183 – 207 .
   Google Scholar
• Muckstadt , J. 1973 . A model for multi-item, multi-echelon, multi-indenture inventory system . Management Science , 20 : 472 – 481 .
   Web of Science ®Google Scholar
• Muckstadt , J. 2005 . Analysis and Algorithms for Service Parts Supply Chains , New York , NY : Springer .
   Google Scholar
• Muckstadt , J. and Thomas , L. 1980 . Are multi-echelon inventory methods worth implementing in systems with low-demand-rate items? . Management Science , 26 : 483 – 494 .
   Web of Science ®Google Scholar
• Nozick , L. 2001 . The fixed charge facility location problem with coverage restrictions . Transportation Research Part E , 37 : 281 – 296 .
   Google Scholar
• Nozick , L. and Turnquist , M. 1998 . Integrating inventory impacts into a fixed-charge model for locating distribution centers . Transportation Research Part E , 34 ( 3 ) : 173 – 186 .
   Google Scholar
• Nozick , L. and Turnquist , M. 2001 . Inventory, transportation, service quality and the location of distribution centers . European Journal of Operational Research , 129 : 362 – 371 .
   Web of Science ®Google Scholar
• Ouyang , L. and Wu , K. 1997 . Mixture inventory model involving variable lead time with a service level constraint . Computers and Operations Research , 24 ( 9 ) : 875 – 882 .
   Web of Science ®Google Scholar
• Rustenburg , W. , Van Houtum , G. and Zijm , W. 2001 . Spare parts management at complex technology-based organizations: an agenda for research . International Journal of Production Economics , 71 : 177 – 193 .
   Web of Science ®Google Scholar
• Schwarz , L. 1981 . Physical distribution: the analysis of inventory and location . AIIE Transactions , 13 : 138 – 150 .
   Web of Science ®Google Scholar
• Shen , Z.-J. , Coullard , C. and Daskin , M. 2003 . A joint location-inventory model . Transportation Science , 37 ( 1 ) : 40 – 55 .
   Web of Science ®Google Scholar
• Sherbrooke , C. 1968 . METRIC: a multi-echelon technique for recoverable item control . Operations Research , 16 : 122 – 141 .
   Web of Science ®Google Scholar
• Sherbrooke , C. 1986 . VARI-METRIC: improved approximation for multi-indenture, multi-echelon availability models . Operations Research , 34 : 311 – 319 .
   Web of Science ®Google Scholar
• Sherbrooke , C. 1992 . Optimal Inventory Modeling of Systems , New York , NY : Wiley .
   Google Scholar
• Snyder , L. and Daskin , M. 2005 . Reliability models for facility location: the expected failure cost case . Transportation Science , 39 ( 3 ) : 400 – 416 .
   Web of Science ®Google Scholar
• Song , J.-S. 1998 . On the order fill rate in a multi-item, base-stock inventory system . Operations Research , 46 ( 6 ) : 831 – 845 .
   Web of Science ®Google Scholar
• Verrijdt , J. and De Kok , A. 1995 . Distribution planning for a divergent n-echelon network without intermediate stocks under service restrictions . International Journal of Production Economics , 38 ( 2–3 ) : 225 – 243 .
   Web of Science ®Google Scholar
• Verrijdt , J. and De Kok , A. 1996 . Distribution planning for a divergent depotless two-echelon network under service constraints . European Journal of Operational Research , 89 : 341 – 354 .
   Web of Science ®Google Scholar
• Wagner , H. 1974 . The design of production and inventory systems for multifacility and multiwarehouse companies . Operations Research , 22 ( 2 ) : 278 – 291 .
   Web of Science ®Google Scholar
• Zipkin , P. 2000 . Fundemantals of Inventory Management , Boston , MA : McGraw Hill–Irwin .
   Google Scholar