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Note: A simple heuristic for serial inventory systems with fixed order costs

Publication ,  Journal Article
Shang, KH
Published in: Operations Research
July 1, 2008

We propose a heuristic for finding base order quantities for stochastic inventory models. The heuristic includes two steps. The first clusters the stages according to cost parameters. The second solves a single-stage problem for each cluster with the original problem data. In a numerical study, we show that the heuristic is near optimal. © 2008 INFORMS.

Duke Scholars

Published In

Operations Research

DOI

EISSN

1526-5463

ISSN

0030-364X

Publication Date

July 1, 2008

Volume

56

Issue

4

Start / End Page

1039 / 1043

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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MLA
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Shang, K. H. (2008). Note: A simple heuristic for serial inventory systems with fixed order costs. Operations Research, 56(4), 1039–1043. https://doi.org/10.1287/opre.1080.0547
Shang, K. H. “Note: A simple heuristic for serial inventory systems with fixed order costs.” Operations Research 56, no. 4 (July 1, 2008): 1039–43. https://doi.org/10.1287/opre.1080.0547.
Shang KH. Note: A simple heuristic for serial inventory systems with fixed order costs. Operations Research. 2008 Jul 1;56(4):1039–43.
Shang, K. H. “Note: A simple heuristic for serial inventory systems with fixed order costs.” Operations Research, vol. 56, no. 4, July 2008, pp. 1039–43. Scopus, doi:10.1287/opre.1080.0547.
Shang KH. Note: A simple heuristic for serial inventory systems with fixed order costs. Operations Research. 2008 Jul 1;56(4):1039–1043.

Published In

Operations Research

DOI

EISSN

1526-5463

ISSN

0030-364X

Publication Date

July 1, 2008

Volume

56

Issue

4

Start / End Page

1039 / 1043

Related Subject Headings

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