Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-10T15:18:21.157Z Has data issue: false hasContentIssue false

An application of the system-point method to inventory models under continuous review

Published online by Cambridge University Press:  14 July 2016

K. Azoury*
Affiliation:
California State University, Northridge
P. H. Brill*
Affiliation:
University of Windsor
*
Postal address: Department of Management Science, California State University, Northridge, CA 91330, USA.
∗∗Postal address: Department of Industrial Engineering, University of Windsor, Windsor, Ontario, Canada N9B 3P4.

Abstract

This paper derives the stationary probability distribution of inventory level for continuous-review models, by means of the system-point method of level-crossing analysis. We analyze inventory problems with decaying products under (nQ, r) and (s, S) ordering policies and zero lead-time, and derive the relevant cost functions. Our results have implications for the case of positive lead-time and to a non-decaying inventory problem with two types of demand processes.

Type
Research Paper
Copyright
Copyright © Applied Probability Trust 1986 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Arrow, K. J., Karlin, S. and Scarf, H. (eds.), 1958 Studies in the Mathematical Theory of Inventory and Production. Stanford University Press, Stanford, CA.Google Scholar
[2] Azoury, K. and Brill, P. H. (1983) A system-point approach to inventory models. Technical Report # 83–06, University of Waterloo, Department of Statistics and Actuarial Science.Google Scholar
[3] Boyce, W. E. and Di Prima, R. C. (1968) Elementary Differential Equations and Boundary Value Problems, 2nd edn. Wiley, New York.Google Scholar
[4] Brill, P. H. (1975) System-Point Theory in Exponential Queues. Ph.D. Dissertation, University of Toronto.Google Scholar
[5] Brill, P. H. (1979) An embedded level crossing technique for dams and queues. J. Appl. Prob. 16, 174186.Google Scholar
[6] Brill, P. H. and Posner, M. J. M. (1981) The system-point method in exponential queues. A level crossing approach. Math. Operat. Res. 6, 3147.Google Scholar
[7] Feldman, R. M. (1978) A continuous review (s, S) inventory system in a random environment. J. Appl. Prob. 15, 654659.CrossRefGoogle Scholar
[8] Ghare, P. M. and Schrader, G. F. (1963) A model for exponentially decaying inventory. J. Ind. Engineering XIV, 238243.Google Scholar
[9] Hadley, G. and Whitin, T. M. (1963) Analysis of Inventory Systems. Prentice-Hall, Toronto.Google Scholar
[10] Karlin, S. and Taylor, H. M. (1975) A First Course in Stochastic Processes, 2nd edn. Academic Press, New York.Google Scholar
[11] Nahmias, S. and Wang, S. S. (1979) A heuristic lot size reorder point model for decaying inventories. Management Sci. 25, 9097.Google Scholar
[12] Peterson, R. and Silver, E. (1979) Decision Systems for Inventory Management and Production Planning. Wiley, New York.Google Scholar
[13] Richards, F. R. (1975) Comments on the distribution of inventory position in a continuous review (s, S) inventory system. Operat. Res. 23, 366371.Google Scholar
[14] Sahin, I. (1979) On the stationary analysis of continuous review (s, S) inventory systems and constant lead times. Operat. Res. 27, 717729.Google Scholar
[15] Shah, Y. K. and Jaiswal, M. (1977) An order level model for a system with constant rate of deterioration. Opsearch 14, 174184.Google Scholar
[16] Sivazlian, D. B. (1974) A continuous review (s, S) inventory system with arbitrary interarrival distribution between unit demand. Operat. Res. 22, 6576.Google Scholar
[17] Takács, L. (1962) Introduction to the Theory of Queues. Oxford University Press, New York.Google Scholar
[18] Tijms, H. C. (1972) Analysis of (s, S) Inventory Models. Mathematical Centre Tracts 40, Mathematich Centrum, Amsterdam.Google Scholar