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A new algorithm for a multi-item periodic review inventory system

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Abstract

In this paper, we deal with a multi-item, stochastic, periodic review inventory system with general cost structure which permits partial or complete backlogging of unfilled demand. Since both the (σ, S) policy and the mixed reorder policy are not optimal, we derive several properties of an optimal ordering policy and propose a new algorithm for computing it. This algorithm is based on the policy iteration method (PIM), but reduces substantially computation times in the policy evaluation and improvement routines of the PIM.

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References

  1. Bather J (1973) Optimal decision procedures for finite Markov chains part II: Communicating Systems. Adv in Appl Prob 5:521–540

    Google Scholar 

  2. Goswick TE, Sivazlian BD (1974) The mixed ordering policy in periodic review stochastic multi-commodity inventory systems. Nav Res Log Quart 21:389–410

    Google Scholar 

  3. Howard RA (1960) Dynamic programming and Markov processes. Wiley, New York

    Google Scholar 

  4. Ignall E, Veinott Jr. AF (1969) Optimality of myopic inventory policies for several substitute products. Management Sci 15:284–304

    Google Scholar 

  5. Johnson EL (1967) Optimality and computation of (σ, S) policies in the multi-item infinite horizon inventory problem. Management Sci 13:475–491

    Google Scholar 

  6. Kalin D (1980) On the optimality of (σ, S) policies. Math of Oper Res 5:293–307

    Google Scholar 

  7. Mahoney JF, Sivazlian BD (1980) Probability of shortage for Erlang distributed demand in a (σ, S) inventory problem. SIAM J Appl Math 38:156–162

    Google Scholar 

  8. Schweitzer PJ, Federgruen A (1978) The functional equations of undiscounted Markov renewal programming. Math of Oper Res 3:308–321

    Google Scholar 

  9. Sivazlian BD (1970) Asymptotic approximations to ordering policies in a stationary (σ, S) inventory problem. SIAM J Appl Math 19:155–166

    Google Scholar 

  10. Sivazlian BD (1971) Stationary analysis of a multicommodity inventory system with interacting set-up costs. SIAM J Appl Math 20:264–278

    Google Scholar 

  11. Sivazlian BD, Wei Y-C (1990) Approximation methods in the optimization of a stationary (σ, S) inventory problem. Oper Res Lett 9:105–113

    Google Scholar 

  12. Veinott Jr. AF (1965) Optimal policy for a multi-product, dynamic, nonstationary inventory problem. Management Sci 12:206–222

    Google Scholar 

  13. Veinott Jr. AF (1966a) The status of mathematical inventory theory. Management Sci 12: 745–777

    Google Scholar 

  14. Veinott Jr. AF (1966b) On finding optimal policies in discrete dynamic programming with no discounting. Annals of Math Statis 37:1284–1296

    Google Scholar 

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Ohno, K., Ishigaki, T. & Yoshii, T. A new algorithm for a multi-item periodic review inventory system. ZOR - Methods and Models of Operations Research 39, 349–364 (1994). https://doi.org/10.1007/BF01435462

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  • DOI: https://doi.org/10.1007/BF01435462

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