Multi-echelon and multi-period supply chain management network design considering different importance for customers management using a novel meta-heuristic algorithm

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dc.contributor.authorDöngül, Esra Sipahi
dc.contributor.authorArtantaş, Erkin
dc.contributor.authorÖztürk, Mutlu Başaran
dc.date.accessioned2024-11-07T10:40:18Z
dc.date.available2024-11-07T10:40:18Z
dc.date.issued2022
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractSupply chain management is an integrated approach to planning and controlling materials and information from suppliers and flows to customers. Given the strategic planning of distribution networks, decisions about it must be optimized. Among the needs for optimization in the distribution network are facility location decisions and inventory control decisions. In this paper, an integrated location-allocation model with inventory control decisions is presented by considering the importance of customers. The proposed model is proposed for a multi-echelon and multi- period supply chain, in which the demand is considered as an uncertain parameter. The main innovation of this research is to consider the distinction between customers because customers with different purchasing volumes in conditions of demand uncertainty have a different level of importance for the supply chain. Moreover, a novel meta-heuristic algorithm as Seeker Evolutionary Algorithm (SEA) is applied to solve the proposed model. The results of comparing SEA with genetic algorithm and GAMS software show that both in small and large dimensions, SEA provides high-quality solutions, and its speed of operation is at an acceptable level. © 2022 The Author(s)
dc.identifier.doi10.1016/j.jjimei.2022.100132
dc.identifier.issn2667-0968
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85140894848
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.jjimei.2022.100132
dc.identifier.urihttps://hdl.handle.net/11480/11560
dc.identifier.volume2
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier B.V.
dc.relation.ispartofInternational Journal of Information Management Data Insights
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectCustomer classification
dc.subjectDistribution network
dc.subjectGenetic algorithm
dc.subjectManagement
dc.subjectSeeker evolutionary algorithm
dc.subjectSupply chain
dc.titleMulti-echelon and multi-period supply chain management network design considering different importance for customers management using a novel meta-heuristic algorithm
dc.typeArticle

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