Shipment Planning: A Case Study for an Apparel Company

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Date

2022

Authors

Ceren Metinoğlu
Deniz Tetik
Egemen Ozgorenler
İlker Avcı
İrem Ersoy
Mustafa Akgül
Sena Alaboğa
Nazlı Karatas Aygün
Adalet Oner

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Springer Science and Business Media Deutschland GmbH

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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.

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Keywords

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, 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

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International Symposium for Production Research ISPR2021

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