2010
DOI: 10.1016/j.cie.2010.07.006
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Deterministic inventory model for deteriorating items with trade credit financing and capacity constraints

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Cited by 40 publications
(21 citation statements)
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“…Gayen and Pal (2009) analyse an inventory model in which shortages are not allowed and the demand is stock-dependent. Liao and Huang (2010) investigate a similar model to Chung and Huang (2007) by adopting a different approach. One can find many examples where a retailer needs to rent a warehouse.…”
Section: Introductionmentioning
confidence: 99%
“…Gayen and Pal (2009) analyse an inventory model in which shortages are not allowed and the demand is stock-dependent. Liao and Huang (2010) investigate a similar model to Chung and Huang (2007) by adopting a different approach. One can find many examples where a retailer needs to rent a warehouse.…”
Section: Introductionmentioning
confidence: 99%
“…In this work, an EOQ model over an infinite time horizon for perishable item where demand is price dependent and partial backorder permitted is discussed. Deterministic inventory model for deteriorating items with trade credit financing and capacity constraints is developed by Liao and Huang (2010) and they presented an inventory model for optimizing the replenishment cycle time for a single deteriorating item under a permissible delay in payments and constraints on warehouse capacity.…”
Section: Introductionmentioning
confidence: 99%
“…Chou and Julian (2015) studied the inventory model of Ouyang et al (2013) and provided new solution procedure to show that interior minimum exist and unique and pointed out that there are two local minimums on the boundaries. Liao and Huang (2010) developed inventory model for deteriorating items to obtain optimal cycle time under permissible delay in payment and constraints on ware house capacity. Lee and Dye (2012) formulated inventory model with stock dependent demand and technology cost as one of the decision variables under the assumption of shortages and partial backlogging depending on the length of waiting time for next replenishment.…”
Section: Introductionmentioning
confidence: 99%