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Joint optimization of production and routing master planning in mobile supply chains

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  • Shahmoradi-Moghadam, Hani
  • Schönberger, Jörn

Abstract

Many supply chains suffer from a lack of flexibility, adaptability, and robustness, which imposes customer dissatisfaction, transportation, backlog, and rework costs on companies. The mobile supply chain (MSC) is a newly developed idea that aims to rectify this problem. In this kind of supply chain, production, distribution, and delivery of a product family are performed by a mobile factory (MF), which can be carried by truck, while stationary production sites are no longer required. The production process is completed directly at the customer's location following customer detail requirements. In this paper, a mathematical model is developed to optimize the mobile factory routing problem as well as production scheduling at each customer's site, which is inspired by a real-world application of modular production in the chemical industry. For this purpose, due dates of customers’ work orders and transportation costs should be considered simultaneously. The model results indicate that if these objective functions are taken into account separately, the results will be sub-optimal solutions causing substantial financial losses for customers and suppliers. The proposed bi-objective model using a multi-objective optimization approach proffers a Pareto frontier. Accordingly, decision-makers can choose from a range of solutions, from zero delayed orders to the lowest transportation costs. However, in many cases it is possible to reach zero delayed orders with just a small increase in transportation costs.

Suggested Citation

  • Shahmoradi-Moghadam, Hani & Schönberger, Jörn, 2021. "Joint optimization of production and routing master planning in mobile supply chains," Operations Research Perspectives, Elsevier, vol. 8(C).
    • Handle: RePEc:eee:oprepe:v:8:y:2021:i:c:s2214716021000105
    DOI: 10.1016/j.orp.2021.100187
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    References listed on IDEAS

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    1. Lei, Chao & Lin, Wei-Hua & Miao, Lixin, 2014. "A multicut L-shaped based algorithm to solve a stochastic programming model for the mobile facility routing and scheduling problem," European Journal of Operational Research, Elsevier, vol. 238(3), pages 699-710.
    2. Becker, Tristan & Lier, Stefan & Werners, Brigitte, 2019. "Value of modular production concepts in future chemical industry production networks," European Journal of Operational Research, Elsevier, vol. 276(3), pages 957-970.
    3. Damodaran, Purushothaman & Kumar Manjeshwar, Praveen & Srihari, Krishnaswami, 2006. "Minimizing makespan on a batch-processing machine with non-identical job sizes using genetic algorithms," International Journal of Production Economics, Elsevier, vol. 103(2), pages 882-891, October.
    4. Sanjay Dominik Jena & Jean-François Cordeau & Bernard Gendron, 2015. "Dynamic Facility Location with Generalized Modular Capacities," Transportation Science, INFORMS, vol. 49(3), pages 484-499, August.
    5. Dmitry Ivanov & Alexander Tsipoulanidis & Jörn Schönberger, 2017. "Erratum to: Global Supply Chain and Operations Management," Springer Texts in Business and Economics, in: Global Supply Chain and Operations Management, pages E1-E1, Springer.
    6. Tristan Becker & Pascal Lutter & Stefan Lier & Brigitte Werners, 2018. "Optimization of Modular Production Networks Considering Demand Uncertainties," Operations Research Proceedings, in: Andreas Fink & Armin Fügenschuh & Martin Josef Geiger (ed.), Operations Research Proceedings 2016, pages 413-418, Springer.
    7. Russell Halper & S. Raghavan, 2011. "The Mobile Facility Routing Problem," Transportation Science, INFORMS, vol. 45(3), pages 413-434, August.
    8. Kang-Heon Lee & Min-Gil Kim & Jeong Ik Lee & Phill-Seung Lee, 2015. "Recent Advances in Ocean Nuclear Power Plants," Energies, MDPI, vol. 8(10), pages 1-23, October.
    9. Dmitry Ivanov & Alexander Tsipoulanidis & Jörn Schönberger, 2017. "Global Supply Chain and Operations Management," Springer Texts in Business and Economics, Springer, number 978-3-319-24217-0, April.
    10. Albashabsheh, Nibal T. & Heier Stamm, Jessica L., 2019. "Optimization of lignocellulosic biomass-to-biofuel supply chains with mobile pelleting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 545-562.
    11. Jabbarzadeh, Armin & Fahimnia, Behnam & Sheu, Jiuh-Biing & Moghadam, Hani Shahmoradi, 2016. "Designing a supply chain resilient to major disruptions and supply/demand interruptions," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 121-149.
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