Revisiting lot sizing for an inventory system with product recovery

Gede Agus Widyadana; Hui Ming Wee

doi:10.1016/j.camwa.2010.02.011

Revisiting lot sizing for an inventory system with product recovery

Gede Agus Widyadana, Hui Ming Wee^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Abstract

This note investigates the study by Teunter (2004) [1] on lot sizing for inventory systems with product recovery where lot sizing formulae for two recovery policies ((1, R) and (P, 1)) are derived. Instead of applying the classical optimization technique, we develop an integrated solution procedure for each of the two policies using algebraic approaches. Numerical analysis show that our examples result in a lower total cost for both policies.

Original language	English
Pages (from-to)	2933-2939
Number of pages	7
Journal	Computers and Mathematics with Applications
Volume	59
Issue number	8
DOIs	https://doi.org/10.1016/j.camwa.2010.02.011
Publication status	Published - Apr 2010
Externally published	Yes

Keywords

Algebraic approach
Lot sizing
Rework

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10.1016/j.camwa.2010.02.011

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abstract = "This note investigates the study by Teunter (2004) [1] on lot sizing for inventory systems with product recovery where lot sizing formulae for two recovery policies ((1, R) and (P, 1)) are derived. Instead of applying the classical optimization technique, we develop an integrated solution procedure for each of the two policies using algebraic approaches. Numerical analysis show that our examples result in a lower total cost for both policies.",

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AB - This note investigates the study by Teunter (2004) [1] on lot sizing for inventory systems with product recovery where lot sizing formulae for two recovery policies ((1, R) and (P, 1)) are derived. Instead of applying the classical optimization technique, we develop an integrated solution procedure for each of the two policies using algebraic approaches. Numerical analysis show that our examples result in a lower total cost for both policies.

KW - Algebraic approach

KW - Lot sizing

KW - Rework

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ER -

Revisiting lot sizing for an inventory system with product recovery

Abstract

Keywords

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