Shipment Planning: A Case Study for an Apparel Company

dc.contributor.author Ceren Metinoğlu
dc.contributor.author Deniz Tetik
dc.contributor.author Egemen Ozgorenler
dc.contributor.author İlker Avcı
dc.contributor.author İrem Ersoy
dc.contributor.author Mustafa Akgül
dc.contributor.author Sena Alaboğa
dc.contributor.author Nazlı Karatas Aygün
dc.contributor.author Adalet Oner
dc.contributor.editor N.M. Durakbasa , M.G. Gençyılmaz
dc.date.accessioned 2025-10-06T17:50:19Z
dc.date.issued 2022
dc.description.abstract This study includes the analysis of the shipment planning problem for a large textile company in Turkey. The aim is to develop an effective solution method to the problem and thus reduce the shipping costs associated with internal logistics operations. A formal definition of the problem is made and all the parameters and inputs are clearly explained and determined. An original mixed-integer programming model has been proposed to solve the problem although it is not practical in real-world problems since it requires a very long time to get the optimal solution. Therefore a heuristic method is developed to obtain near-optimal solutions. The performance of the heuristic method has been tested and verified. A simple decision support system with user-friendly interfaces has been developed to implement the heuristic method as a practical shipment planning tool. © 2022 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1007/978-3-030-90421-0_66
dc.identifier.isbn 9789819650583, 9783031991585, 9783031948886, 9789819667314, 9789811937156, 9783030703318, 9789811622779, 9789811969447, 9789819701056, 9789819748051
dc.identifier.issn 21954364, 21954356
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119856763&doi=10.1007%2F978-3-030-90421-0_66&partnerID=40&md5=3c0d92ceb6fa137da09c9295d5b758a7
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8857
dc.language.iso English
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.relation.ispartof International Symposium for Production Research ISPR2021
dc.source Lecture Notes in Mechanical Engineering
dc.subject Distribution, Mathematical Modeling, Shipment Planning, Transportation, Vehicle Routing Problem, Artificial Intelligence, Decision Support Systems, Integer Programming, Optimal Systems, Ships, Vehicle Routing, Apparel Companies, Case-studies, Distribution, Effective Solution, Mathematical Modeling, Planning Problem, Shipment Planning, Shipping Cost, Solution Methods, Vehicle Routing Problems, Heuristic Methods
dc.subject Artificial intelligence, Decision support systems, Integer programming, Optimal systems, Ships, Vehicle routing, Apparel companies, Case-studies, Distribution, Effective solution, Mathematical modeling, Planning problem, Shipment planning, Shipping cost, Solution methods, Vehicle Routing Problems, Heuristic methods
dc.title Shipment Planning: A Case Study for an Apparel Company
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gdc.virtual.author Karataş Aygün, Nazli
oaire.citation.endPage 786
oaire.citation.startPage 772
person.identifier.scopus-author-id Metinoğlu- Ceren (57352419800), Tetik- Deniz (57352419900), Ozgorenler- Egemen (57351669900), Avcı- İlker (57351518900), Ersoy- İrem (57351975000), Akgül- Mustafa (57351671200), Alaboğa- Sena (57351519700), Aygün- Nazlı Karatas (57220005342), Oner- Adalet (48361901600)
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