Analysis and Optimization of a Multistage Inventory-Queue System

Published Online:https://doi.org/10.1287/mnsc.1030.0196

References

  • Axsäter S. Simple solution procedures for a class of two-echelon inventory problems. Oper. Res. (1990) 38:64–69LinkGoogle Scholar
  • Axsäter S., Graves S., Kan A. H. G. R., Zipkin P. H. Continuous review policies for multi-level inventory systems with stochastic demand. Handbook in Operations Research and Management Science: Logistics of Production and Inventory (1993) (North-Holland, Amsterdam, The Netherlands)175–198CrossrefGoogle Scholar
  • Axsäter S., Rosling K. Installation vs. echelon stock policies for multilevel inventory control. Management Sci. (1993) 39:1274–1280LinkGoogle Scholar
  • Albin S. L., Kai S. R. Approximation for the departure process of a queue in a network. Naval Res. Logist. Quart. (1986) 33:129–143CrossrefGoogle Scholar
  • Berg M., Posner M. Customer delay in M/G/∞ repair systems with spares. Oper. Res. (1990) 38:344–348LinkGoogle Scholar
  • Bitran G. R., Tirupati D. Multiproduct queueing networks with deterministic routing: Decomposition approach and the notion of interference. Management Sci. (1988) 35:851–878LinkGoogle Scholar
  • Burke P. J. The output of a queueing system. Oper. Res. (1956) 4:699–704LinkGoogle Scholar
  • Buzacott J. A., Shanthikumar J. G.Stochastic Models of Manufacturing Systems (1993) (Prentice Hall, Englewood Cliffs, NJ) Google Scholar
  • Buzacott J. A., Price S. M., Shanthikumar J. G., Fandel T., Gulledge T., Jones A. Service level in multistage MRP and base-stock controlled production systems. New Directions for Operations Research in a Manufacturing System (1992) Springer):445–463CrossrefGoogle Scholar
  • Clark A., Scarf H. Optimal policies for multi-echelon inventory problems. Management Sci. (1960) 6:474–490LinkGoogle Scholar
  • Duri C., Frein Y., Di Mascolo M. Performance evaluation and design of base-stock systems. Eur. J. Oper. Res. (2000) 127:172–188CrossrefGoogle Scholar
  • Ettl M., Feigin G. E., Lin G. Y., Yao D. D. A supply network model with base-stock control and service requirements. Oper. Res. (2000) 48:216–232LinkGoogle Scholar
  • Federgruen A. Centralized planning models for a multi-echelon inventory system under uncertainty. Handbook in Operations Research and Management Science: Logistics of Production and Inventory (1993) (North-Holland, Amsterdam, The Netherlands)133–174CrossrefGoogle Scholar
  • Glasserman P. Bounds and asymptotics for planning critical safety stocks. Oper. Res. (1997) 45:244–257LinkGoogle Scholar
  • Glasserman P., Tayur S. The stability of a capacitated multi-echelon production-inventory system under a base-stock policy. Oper. Res. (1994) 42:913–924LinkGoogle Scholar
  • Glasserman P., Wang Y. Leadtime-inventory tradeoffs in assemble-to-order systems. Oper. Res. (1998) 46:858–871LinkGoogle Scholar
  • Glasserman P., Yao D. D.Monotone Structure in Discrete-Event Systems (1994) (Wiley Interscience, New York) Google Scholar
  • Glasserman P., Yao D. D. Structured buffer allocation problems. Discrete Event Dynam. Systems: Theory Appl. (1996) 6:9–42CrossrefGoogle Scholar
  • Graves S. C. Safety stocks in manufacturing systems. J. Manufacturing Oper. Management (1988) 1:67–101Google Scholar
  • Haque L., Liu L., Zhao Y. Tail asymptotics of a two-stage inventory-queue model. (2002) . Working paper, School of Mathematics and Statistics, Carleton University, Ottawa, CanadaGoogle Scholar
  • Hillier F. S., Boling R. On the optimal allocation of work in symmetrically unbalanced production systems with variable operations times. Management Sci. (1979) 25:721–728LinkGoogle Scholar
  • Hopp W. J., Spearman M. L.Factory Physics. (1996) (Irwin, New York)Google Scholar
  • Jackson J. R. Jobshop-like queuing systems. Management Sci. (1963) 10:131–142LinkGoogle Scholar
  • Kaplan R. A dynamic inventory model with stochastic lead times. Management Sci. (1970) 16:491–507LinkGoogle Scholar
  • Kobayashi H. Application of the diffusion approximation to queueing networks I: Equilibrium queue distributions. J. ACM (1974) 21:316–328CrossrefGoogle Scholar
  • Lee H. L., Billington C. Material management in decentralized supply chains. Oper. Res. (1993) 41:835–847LinkGoogle Scholar
  • Lee Y. J., Zipkin P. H. Tandem queues with planned inventories. Oper. Res. (1992) 40:936–947LinkGoogle Scholar
  • Lee Y. J., Zipkin P. H. Processing networks with inventories: Sequential refinement systems. Oper. Res. (1995) 43:1025–1036LinkGoogle Scholar
  • Liu X. M. Performance analysis and optimization of supply networks. (1999) . Ph.D. thesis, Hong Kong University of Science and Technology, Clear Water BayGoogle Scholar
  • Sherbrooke C. C. METRIC: A multi-echelon technique for recoverable item control. Oper. Res. (1968) 16:122–141LinkGoogle Scholar
  • Svoronos A., Zipkin P. H. Evaluation of one-for-one replenishment policies for multi-echelon inventory systems. Management Sci. (1991) 37:68–83LinkGoogle Scholar
  • Tayur S., Ganeshan R., Magazine M.Quantitative Models for Supply Chain Management (1999) (Kluwer Academic Publishers, Norwell, MA) CrossrefGoogle Scholar
  • Whitt W. Approximating a point process by a renewal process I: Two basic methods. Oper. Res. (1982) 30:125–147LinkGoogle Scholar
  • Whitt W. Approximations for departure processes and queues in series. Naval Res. Logist. Quart. (1984) 31:499–521CrossrefGoogle Scholar
  • Zipkin P. Stochastic leadtimes in continuous-time inventory models. Naval Res. Logist. Quart. (1986) 33:763–774CrossrefGoogle Scholar
  • Zipkin P.Foundations of Inventory Management (2000) (McGraw-Hill, New York) Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.