2019
DOI: 10.1007/978-981-13-9698-4_3
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Inventory Control Policies for Time-Dependent Deteriorating Item with Variable Demand and Two-Level Order Linked Trade Credit

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Cited by 7 publications
(3 citation statements)
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“…Later, studied and assessed an EOQ model, in which the demand is depending on the time-credit cycle, and also considered the constant deterioration rate. An inventory model for time-dependent decaying items was explored by Jani et al (2020). Furthermore, according to the product life cycle hypothesis, Mashud et al (2021) investigated an inventory model for deteriorating items with a discount facility.…”
Section: The Reviewmentioning
confidence: 99%
“…Later, studied and assessed an EOQ model, in which the demand is depending on the time-credit cycle, and also considered the constant deterioration rate. An inventory model for time-dependent decaying items was explored by Jani et al (2020). Furthermore, according to the product life cycle hypothesis, Mashud et al (2021) investigated an inventory model for deteriorating items with a discount facility.…”
Section: The Reviewmentioning
confidence: 99%
“…In [18], the recycling of expiry dates is presented with deteriorating products under dissimilar supply chains. Recently in [19], an inventory model is discussed with the perishable goods having expiry dates under variable demand, and in [20], a fuzzy green model for non-instantaneous perishable items is demonstrated under carbon emission and trade credit policies.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Jaggi et al [19] offered a model, including selling price dependent demand under deterioration. Mishra and Talati [20] proposed a single set-up multiple deliveries for fading stuff with fixed life time.Jani et al [21] have studied an inventory policy for the item which has expiry date with two levels of trade credit depending on the quantity of order. It is considered that a supplier is ready to give a mutually agreed credit period to retailer only if the order quantity purchased by retailer is more than the predetermined quantity of ordered.…”
Section: Introductionmentioning
confidence: 99%