The Optimality of Hedging Point Policies for Stochastic Two-Product Flexible Manufacturing Systems

References

• Anupindi R., Tayur S. Managing stochastic multi-product systems: Models, measures and analysis. Oper. Res. (1998) 46:S98–S111Link, Google Scholar
• Chen S. X. The optimality of hedging point policy for the stochastic two-product flexible manufacturing systems. (2001) . IMARC working paper No. 03-01 Nanyang Business School, Nanyang Technological University, SingaporeGoogle Scholar
• Chen S. X., Lambrecht M. X-Y band and modified (s, S) policy. Oper. Res. (1996) 44:1013–1019Link, Google Scholar
• DeCroix G. A., Arreola-Risa A. Optimal production and inventory policy for multiple products under resource constraints. Management Sci. (1998) 44:950–961Link, Google Scholar
• de Vericourt F., Karaesmen F., Dallery Y. Dynamic scheduling in a make-to-stock system: Partial characterization of optimal policies. Oper. Res. (2000) 48:811–819Link, Google Scholar
• Evans R. Inventory control of a multiproduct system with a limited production resource. Naval Res. Logistics Quart. (1967) 14:173–184Crossref, Google Scholar
• Federgruen A., Katalan Z. Determining production schedules under base-stock policies in single facility multi-item production systems. Oper. Res. (1998) 46:883–898Link, Google Scholar
• Federgruen A., Zipkin P. Inventory model with limited production capacity and uncertain demands I. The average-cost criterion. II. The discounted-cost criterion. Math. Oper. Res. (1986) 11:193–215Link, Google Scholar
• Gallego G. Scheduling the production of several items with random demands in a single facility. Management Sci. (1990) 36:1579–1592Link, Google Scholar
• Gershwin S. B.Manufacturing Systems Engineering (1994) (Prentice Hall, Englewood Cliffs, NJ) Google Scholar
• Graves S. C. The multi-product production cycling problem. AIIE Trans (1980) 12:233–240Crossref, Google Scholar
• Ha A. Optimal dynamic scheduling policy for a make-to-stock production system. Oper. Res. (1997) 45:42–54Link, Google Scholar
• Iglehart D. L. Optimality of (s, S) policies in the infinite horizon dynamic inventory problem. Management Sci. (1963) 9:259–267Link, Google Scholar
• Pena-Perez A., Zipkin P. Dynamic scheduling rule for a multiproduct make-to-stock queue. Oper. Res. (1997) 45:919–930Link, Google Scholar
• Rockafellar R. Tyrrell. Convex Analysis (1970) (Princeton University Press, Princeton, NJ) Crossref, Google Scholar
• Scarf H., Arrow K. J., Karlin S., Suppes P. The optimality of (S, s) policy in the dynamic inventory problems. Mathematical Methods in the Social Science (1960) (Stanford University Press, Palo Alto, CA) Google Scholar
• Srivatsan N., Dallery Y. Partial characterization of optimal hedging point policies in unreliable two-part-type manufacturing systems. Oper. Res. (1998) 46:36–45Link, Google Scholar
• Veatch M., Wein L. M. Scheduling a make-to-stock queue: Index policies and hedging points. Oper. Res. (1996) 44:634–647Link, Google Scholar
• Veinott A. The status of mathematical inventory theory. Management Sci. (1966) 12:745–766Link, Google Scholar
• Wein L. M. Dynamic scheduling of a multiclass make-to-stock queue. Oper. Res. (1992) 40:724–735Link, Google Scholar
• Zheng Y. S. A sample proof for optimality of (s, S) policies in infinite-horizon inventory. J. Appl. Probab (1991) 28:802–810Crossref, Google Scholar
• Zheng Y., Zipkin P. A queuing model to analyze the value of centralized inventory information. Oper. Res. (1990) 38:296–307Link, Google Scholar