Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/983
Title: Inventory models for perishable items with advanced payment, linearly time-dependent holding cost and demand dependent on advertisement and selling price
Authors: Al-Amin Khan, Md.
Shaikh, Ali Akbar
Konstantaras, Ioannis
Bhunia, Asoke Kumar
Cárdenas-Barrón, Leopoldo Eduardo
Type: Article
Subjects: FRASCATI::Natural sciences::Mathematics
Keywords: Inventory
Advertising
Maximum lifetime
Advance payment
Partial backlogging
Issue Date: Dec-2020
Source: International Journal of Production Economics
Volume: 230
First Page: 107804
Abstract: Advertisement is one of the most effective ways to spread out the popularity of the product for all categories of customers. Consequently, this has a direct impact to aggrandize product's demand to a great extent. On the other hand, if the maximum lifetime of a product is expired once then it can neither be useable nor be re-useable. Thus the date of maximum life time of the product is an essential issue in inventory management. Advance payment is another important factor among interrelation of suppliers and retailers for a highly demanding seasonal product. Combining these issues, two different inventory models for perishable items are formulated under linearly time-dependent increasing holding cost whereas demand of the product is dependent on the selling price of the product and the frequency of advertisement as well. In the first model, shortages are not considered whereas in the second one, partial backlogged shortages are incorporated. In both cases, the optimality of the proposed inventory models is discussed theoretically along with its solution algorithm. To validate the proposed models, three numerical examples are solved. Finally, the effect of changes of different parameters is studied numerically to perform a sensitivity analysis and a fruitful conclusion is done.
URI: https://doi.org/10.1016/j.ijpe.2020.107804
https://ruomo.lib.uom.gr/handle/7000/983
Electronic ISSN: 0925-5273
Other Identifiers: 10.1016/j.ijpe.2020.107804
Appears in Collections:Department of Business Administration

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