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Coordination of production scheduling and delivery problems with heterogeneous fleet

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  • Low, Chinyao
  • Chang, Chien-Min
  • Li, Rong-Kwei
  • Huang, Chia-Ling

Abstract

In a production scheduling with delivery problem, there are different types of products processed by a distribution center and then delivered to retailers. Each retailer order might be consisted of different products. The resolution of this problem is to determine the production sequence, retailers׳ needs to heterogeneous fleet of vehicles and the visiting sequence of each vehicle for delivery goods within time windows. In this article, a nonlinear mathematical model is proposed with minimizing the total cost which includes transportation cost, vehicle arrangement cost and penalty costs, subjected to satisfy all demands of each retailer. Following, two adaptive genetic algorithms (AGAs) are designed and tested in variety of production and delivery scenarios. The computational experiments show that the total cost gradually decreases as the vehicle type employed in the delivery stage increasing. In addition, more kinds of vehicle types provided in the delivery stage could reduce fixed vehicle cost and variable routing cost.

Suggested Citation

  • Low, Chinyao & Chang, Chien-Min & Li, Rong-Kwei & Huang, Chia-Ling, 2014. "Coordination of production scheduling and delivery problems with heterogeneous fleet," International Journal of Production Economics, Elsevier, vol. 153(C), pages 139-148.
  • Handle: RePEc:eee:proeco:v:153:y:2014:i:c:p:139-148
    DOI: 10.1016/j.ijpe.2014.02.014
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    3. Payakorn Saksuriya & Chulin Likasiri, 2023. "Vehicle Routing Problem with Time Windows to Minimize Total Completion Time in Home Healthcare Systems," Mathematics, MDPI, vol. 11(23), pages 1-23, December.
    4. Wang, Yu & Ropke, Stefan & Wen, Min & Bergh, Simon, 2023. "The mobile production vehicle routing problem: Using 3D printing in last mile distribution," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1407-1423.
    5. Schenekemberg, Cleder M. & Scarpin, Cassius T. & Pécora, José E. & Guimarães, Thiago A. & Coelho, Leandro C., 2021. "The two-echelon production-routing problem," European Journal of Operational Research, Elsevier, vol. 288(2), pages 436-449.
    6. Mohammadi, S. & Al-e-Hashem, S.M.J. Mirzapour & Rekik, Y., 2020. "An integrated production scheduling and delivery route planning with multi-purpose machines: A case study from a furniture manufacturing company," International Journal of Production Economics, Elsevier, vol. 219(C), pages 347-359.
    7. S. Mohammadi & S. Al-E-Hashem & Yacine Rekik, 2020. "An integrated production scheduling and delivery route planning with multi-purpose machines: A case study from a furniture manufacturing company," Post-Print hal-02194222, HAL.
    8. Stef Moons & Katrien Ramaekers & An Caris & Yasemin Arda, 2018. "Integration of order picking and vehicle routing in a B2C e-commerce context," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 813-843, December.
    9. Sun, X.T. & Chung, S.H. & Chan, Felix T.S., 2015. "Integrated scheduling of a multi-product multi-factory manufacturing system with maritime transport limits," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 110-127.
    10. Daniel Schubert & André Scholz & Gerhard Wäscher, 2017. "Integrated Order Picking and Vehicle Routing with Due Dates," FEMM Working Papers 170007, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    11. Weilin Tang & Xinghan Chen & Maoxiang Lang & Shiqi Li & Yuying Liu & Wenyu Li, 2024. "Optimization of Truck–Cargo Online Matching for the Less-Than-Truck-Load Logistics Hub under Real-Time Demand," Mathematics, MDPI, vol. 12(5), pages 1-31, March.
    12. Berghman, Lotte & Kergosien, Yannick & Billaut, Jean-Charles, 2023. "A review on integrated scheduling and outbound vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 311(1), pages 1-23.
    13. Yong-Jae Kim & Byung-Soo Kim, 2022. "Population-Based Meta-Heuristic Algorithms for Integrated Batch Manufacturing and Delivery Scheduling Problem," Mathematics, MDPI, vol. 10(21), pages 1-22, November.
    14. Daniel Schubert & André Scholz & Gerhard Wäscher, 2018. "Integrated order picking and vehicle routing with due dates," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(4), pages 1109-1139, October.
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