Access to this article is restricted until 24 months after publication by request of the publisher. Restriction lift date: 2027-01-07
A heuristic method for perishable inventory management under non-stationary demand
dc.check.date | 2027-01-07 | en |
dc.check.info | Access to this article is restricted until 24 months after publication by request of the publisher | en |
dc.contributor.author | Gulecyuz, Suheyl | en |
dc.contributor.author | O’Sullivan, Barry | en |
dc.contributor.author | Tarim, S. Armagan | en |
dc.contributor.funder | Science Foundation Ireland | en |
dc.date.accessioned | 2025-01-27T15:16:33Z | |
dc.date.available | 2025-01-27T15:16:33Z | |
dc.date.issued | 2025-01-07 | en |
dc.description.abstract | Our study considers a perishable inventory system under a finite planning horizon, periodic review, non-stationary stochastic demand, zero lead time, FIFO (first in, first out) issuing policy, and a fixed shelf life. The inventory system has a fixed setup cost and linear ordering, holding, penalty, and outdating costs per item. We introduce a computationally-efficient heuristic which formulates the problem as a network graph, and then calculates the shortest path in a recursive way and by keeping the average total cost per period at minimum. The heuristic firstly determines the replenishment periods and cycles using the deterministic-equivalent shortest path approach. Taking the replenishment plan constructed in the first step as an input, it calculates the order quantities with respect to the observed inventory states as a second step. We conduct numerical experiments for various scenarios and parameters, and compare them to the optimal stochastic dynamic programming (SDP) results. Our experiments conclude that the computation time is reduced significantly, and the average optimality gap between the expected total cost and the optimal cost is 1.87%. | en |
dc.description.sponsorship | Science Foundation Ireland (12/RC/2289-P2) | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.articleid | 103267 | en |
dc.identifier.citation | Gulecyuz, S., O’Sullivan, B. and Tarim, S. A. (2024) 'A heuristic method for perishable inventory management under non-stationary demand', Omega, 133, 103267 (17pp). https://doi.org/10.1016/j.omega.2024.103267 | en |
dc.identifier.doi | https://doi.org/10.1016/j.omega.2024.103267 | en |
dc.identifier.endpage | 17 | en |
dc.identifier.issn | 0305-0483 | en |
dc.identifier.journaltitle | Omega | en |
dc.identifier.startpage | 1 | en |
dc.identifier.uri | https://hdl.handle.net/10468/16900 | |
dc.identifier.volume | 133 | en |
dc.language.iso | en | en |
dc.publisher | Elsevier Ltd. | en |
dc.relation.ispartof | Omega | en |
dc.rights | © 2025, Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
dc.subject | Inventory control | en |
dc.subject | Lot sizing | en |
dc.subject | Perishability | en |
dc.subject | Finite-horizon total cost | en |
dc.subject | Non-stationary stochastic demand | en |
dc.subject | Replenishment cycle policy | en |
dc.title | A heuristic method for perishable inventory management under non-stationary demand | en |
dc.type | Article (peer-reviewed) | en |
oaire.citation.volume | 133 | en |
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