An optimal replenishment policy for non-instantaneous deteriorating items with stock-dependent demand and partial backlogging

By Kun-Shan Wu, Liang-Yuh Ouyang, Chih-te Yang. 2006

442 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/1eaee1a5a915ad689a8231c6da0b774a5bb18113

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In Control and Systems Engineering

In Management Information Systems

In Strategy and Management

Citations in the corpus

Economic ordering policy for non‐instantaneous deteriorating items with price and advertisement dependent demand and permissible delay in payment under inflation (2020, background): “Wu et al.(5) defined this phenomenon as “non-instantaneous deterioration” and attempted to develop an Received: 19 December 2019”
Variable deterioration and demand—An inventory model (2013, background): “Wu et al. (2006) represented an optimal replenishment policy for non-instantaneous deteriorating items with stock-dependent demand and partial backlogging.”
Optimal pricing and ordering policies for non-instantaneously deteriorating items under order-size-dependent delay in payments (2015, unknown): “[14] defined this phenomenon as ‘‘non-instantaneous deterioration.”
An inventory model with both stock-dependent demand rate and stock-dependent holding cost rate (2014, methodology): “Wu et al. (2006) developed a replenishment model for non-instantaneous deteriorating items with stock-dependent demand and partial backlogging.”
The effect of preservation technology investment on a non-instantaneous deteriorating inventory model (2013, unknown): “[19] and Ouyang et al.”
An improved inventory model with partial backlogging, time varying deterioration and stock-dependent demand (2013, methodology): “All rights reserved. http://dx.doi.org/10.1016/j.econmod.2012.09.049 Contents lists available at SciVerse ScienceDirect Economic Modelling j ourna l homepage: www.e lsev ie r .com/ locate /ecmod with time varying partial backlogging rate was presented by Wu et al. (2006).”