2014
DOI: 10.1016/j.apm.2014.05.003
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Effect of deterioration on the instantaneous replenishment model with imperfect quality items

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Cited by 38 publications
(14 citation statements)
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“…Rad et al [19] propose an EOQ inventory model that combines operations and pricing decisions in a two-stage supply chain when the demand rate is dependent on the price, and shortage is permitted. Moussawi-Haidar et al [12] investigate the effect of deterioration on the instantaneous replenishment. Skouri et al [26] propose an inventory system with allowed shortages.…”
Section: Introductionmentioning
confidence: 99%
“…Rad et al [19] propose an EOQ inventory model that combines operations and pricing decisions in a two-stage supply chain when the demand rate is dependent on the price, and shortage is permitted. Moussawi-Haidar et al [12] investigate the effect of deterioration on the instantaneous replenishment. Skouri et al [26] propose an inventory system with allowed shortages.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the learning curve theory, Konstantaras et al [14] investigated an allowable shortage EOQ model for the cases of infinite and finite planning horizons when the fraction of defective items can be reduced by learning; Alamri et al [15] established a general EOQ model for imperfect quality items by assuming that demand, screening, and deterioration rates were all arbitrary functions of time. Moussawi-Haidar et al [16] developed two modified EOQ-type models for deteriorating items when the proportion of defective items follows a known distribution. They first assumed that no shortages are allowed, that is, the inventory level is just enough to cover the demand during the screening period, and then relaxed the assumption and allowed for backordering.…”
Section: Introductionmentioning
confidence: 99%
“…Tayyab and Sarkar [28] revisited an EPQ model with an imperfect multi-stage production system by considering a random defective rate. Related articles include studies by Khan et al [29], Sarkar [30], Hsu and Hsu [31], Hsu et al [32], Yu and Lin [33], Moussawi-Haidar et al [34], and their references. Most of these studies have examined how defective products a ect optimal production and ordering strategies.…”
Section: Introductionmentioning
confidence: 99%