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Integrated production scheduling and distribution planning in dairy supply chain by hybrid modelling

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  • Bilge Bilgen
  • Yelda Çelebi

Abstract

In this paper we address the production scheduling and distribution planning problem in a yoghurt production line of the multi-product dairy plants. A mixed integer linear programming model is developed for the considered problem. The objective function aims to maximize the benefit by considering the shelf life dependent pricing component and costs such as processing, setup, storage, overtime, backlogging, and transportation costs. Key features of the model include sequence dependent setup times, minimum and maximum lot sizes, overtime, shelf life requirements, machine speeds, dedicated production lines, typically arising in the dairy industry. The model obtains the optimal production plan for each product type, on each production line, in each period together with the delivery plan. The hybrid modelling approach is adopted to explore the dynamic behavior of the real world system. In the hybrid approach, operation time is considered as a dynamic factor and it is adjusted by the results of the simulation and optimization model iteratively. Thus, more realistic solutions are obtained for the scheduling problem in yoghurt industry by using the iterative hybrid optimization-simulation procedure. The efficiency and applicability of the proposed model and approach are demonstrated in a case study for a leading dairy manufacturing company in Turkey. Copyright Springer Science+Business Media New York 2013

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  • Bilge Bilgen & Yelda Çelebi, 2013. "Integrated production scheduling and distribution planning in dairy supply chain by hybrid modelling," Annals of Operations Research, Springer, vol. 211(1), pages 55-82, December.
    • Handle: RePEc:spr:annopr:v:211:y:2013:i:1:p:55-82:10.1007/s10479-013-1415-3
    DOI: 10.1007/s10479-013-1415-3
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    2. Hêris Golpîra, 2017. "Robust bi-level optimization for an opportunistic supply chain network design problem in an uncertain and risky environment," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(1), pages 21-41.
    3. 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.
    4. Sawik, Tadeusz, 2016. "Integrated supply, production and distribution scheduling under disruption risks," Omega, Elsevier, vol. 62(C), pages 131-144.
    5. Yunqiang Yin & Doudou Li & Dujuan Wang & T. C. E. Cheng, 2021. "Single-machine serial-batch delivery scheduling with two competing agents and due date assignment," Annals of Operations Research, Springer, vol. 298(1), pages 497-523, March.
    6. Yanina Fumero & Gabriela Corsano & Jorge M. Montagna, 2017. "An MILP model for planning of batch plants operating in a campaign-mode," Annals of Operations Research, Springer, vol. 258(2), pages 415-435, November.
    7. Dwi Iryaning Handayani & Ilyas Masudin & Ahmad Rusdiansyah & Judi Suharsono, 2021. "Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry," Logistics, MDPI, vol. 5(3), pages 1-21, September.
    8. Mehdi Rajabi Asadabadi, 2017. "A developed slope order index (SOI) for bottlenecks in projects and production lines," Computational Management Science, Springer, vol. 14(2), pages 281-291, April.
    9. Javid Jouzdani & Mohammad Fathian & Ahmad Makui & Mehdi Heydari, 2020. "Robust design and planning for a multi-mode multi-product supply network: a dairy industry case study," Operational Research, Springer, vol. 20(3), pages 1811-1840, September.
    10. Simin Zhang & Haiqing Song, 2018. "Production and Distribution Planning in Danone Waters China Division," Interfaces, INFORMS, vol. 48(6), pages 578-590, November.
    11. Long Zhang & Yuzhong Zhang & Qingguo Bai, 2019. "Two-stage medical supply chain scheduling with an assignable common due window and shelf life," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 319-329, January.
    12. Eduardo Gutiérrez González & Olga Vladimirovna Panteleeva, 2020. "A model for planning and optimizing an engineering company production," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 669-699, September.
    13. Martin Hrušovský & Emrah Demir & Werner Jammernegg & Tom Woensel, 2018. "Hybrid simulation and optimization approach for green intermodal transportation problem with travel time uncertainty," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 486-516, September.
    14. Mohit Malik & Vijay Kumar Gahlawat & Rahul S Mor & Vijay Dahiya & Mukheshwar Yadav, 2022. "Application of Optimization Techniques in the Dairy Supply Chain: A Systematic Review," Logistics, MDPI, vol. 6(4), pages 1-16, October.

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