Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/100600
Title: Discounted costs and obsolescence with the Joint replenishment problem
Authors: Afonso, Ricardo 
Godinho, Pedro 
Costa, João Paulo 
Keywords: Inventory lot sizing; Joint replenishment problem; Obsolescence
Issue Date: 2022
Project: UIDB/05037/2020 
Serial title, monograph or event: International Journal of Industrial Engineering Computations
Volume: 13
Issue: 1
Abstract: Real life inventory lot sizing problems are frequently challenged with the need to order different types of items within the same batch. The Joint Replenishment Problem (JRP) addresses this setting of coordinated ordering by minimizing the total cost, composed of ordering (or setup) costs and holding costs, while satisfying the demand. The complexity of this problem increases when some or all item types are prone to obsolescence. In fact, the items may experience an abrupt decline in demand because they are no longer needed, due to rapid advancements in technology, going out of fashion, or ceasing to be economically viable. This article proposes an extension of the Joint Replenishment Problem (JRP) where the items may suddenly become obsolete at some time in the future. The model assumes constant demand and the items’ lifetimes follow independent negative exponential distributions. The optimization process considers the time value of money by using the expected discounted total cost as the minimization criterion. The proposed model was applied to some test cases, and sensitivity analyses were performed, in order to assess the impact of obsolescence on the ordering policy. The increase in the obsolescence risk, through the progressive increase of the obsolescence rates of the item types, determines smaller lot sizes on the ordering policy. The increase in the discount rate causes smaller quantities to be ordered as well.
URI: http://hdl.handle.net/10316/100600
ISSN: 19232926
19232934
DOI: 10.5267/j.ijiec.2021.8.002
Rights: openAccess
Appears in Collections:I&D CeBER - Artigos em Revistas Internacionais

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