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Luis A. San-José

Researcher at University of Valladolid

Publications -  40
Citations -  760

Luis A. San-José is an academic researcher from University of Valladolid. The author has contributed to research in topics: Holding cost & Economic order quantity. The author has an hindex of 15, co-authored 35 publications receiving 543 citations.

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Analysis of an EOQ inventory model with partial backordering and non-linear unit holding cost

TL;DR: In this article, an economic order quantity inventory model is analyzed, considering that the unit cumulative holding cost has two significant components: a fixed cost which represents the cost of accommodating the item in the warehouse and a variable cost given by a potential function of the length of time over which the item is held in stock.
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Maximizing profits in an inventory model with both demand rate and holding cost per unit time dependent on the stock level

TL;DR: This work studies an EOQ inventory model with demand rate and holding cost rate per unit time, both potentially dependent on the stock level, and presents the analytical formulation of the problem and the existence and uniqueness of the optimal cycle time, giving a numerical algorithm to obtain it.
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The integrality of the lot size in the basic EOQ and EPQ models: Applications to other production-inventory models

TL;DR: This paper presents a method to obtain the solution of the classic economic order quantity and economic production quantity models when the lot size must be an integer quantity and shows how this method is applicable to the resolution of other production-inventory models.
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An economic lot-size model with non-linear holding cost hinging on time and quantity

TL;DR: In this article, the authors developed an economic lot size inventory model where the demand rate depends on the stock level and the cumulative holding cost is non-linear on both the quantity and the time they are stored.
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Optimal inventory policy under power demand pattern and partial backlogging

TL;DR: In this article, the authors study an inventory model with a power demand pattern that allows shortages and determine the lot size and the length of the inventory cycle that maximize the total inventory profit per unit time.