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Inventory control in a fluctuating demand environment

Publication ,  Journal Article
Song, JS; Zipkin, P
Published in: Operations Research
January 1, 1993

We present an inventory model, where the demand rate varies with an underlying state-of-the-world variable. This variable can represent economic fluctuations, or stages in the product life-cycle, for example. We derive some basic characteristics of optimal policies and develop algorithms for computing them. In addition, we show that certain monotonicity patterns in the problem data are reflected in the optimal policies.

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Published In

Operations Research

DOI

ISSN

0030-364X

Publication Date

January 1, 1993

Volume

41

Issue

2

Start / End Page

351 / 370

Related Subject Headings

  • Operations Research
  • 3507 Strategy, management and organisational behaviour
  • 1503 Business and Management
  • 0802 Computation Theory and Mathematics
  • 0102 Applied Mathematics
 

Citation

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Song, J. S., & Zipkin, P. (1993). Inventory control in a fluctuating demand environment. Operations Research, 41(2), 351–370. https://doi.org/10.1287/opre.41.2.351
Song, J. S., and P. Zipkin. “Inventory control in a fluctuating demand environment.” Operations Research 41, no. 2 (January 1, 1993): 351–70. https://doi.org/10.1287/opre.41.2.351.
Song JS, Zipkin P. Inventory control in a fluctuating demand environment. Operations Research. 1993 Jan 1;41(2):351–70.
Song, J. S., and P. Zipkin. “Inventory control in a fluctuating demand environment.” Operations Research, vol. 41, no. 2, Jan. 1993, pp. 351–70. Scopus, doi:10.1287/opre.41.2.351.
Song JS, Zipkin P. Inventory control in a fluctuating demand environment. Operations Research. 1993 Jan 1;41(2):351–370.

Published In

Operations Research

DOI

ISSN

0030-364X

Publication Date

January 1, 1993

Volume

41

Issue

2

Start / End Page

351 / 370

Related Subject Headings

  • Operations Research
  • 3507 Strategy, management and organisational behaviour
  • 1503 Business and Management
  • 0802 Computation Theory and Mathematics
  • 0102 Applied Mathematics