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Aggregate planning for multi-product assembly lines with reconfigurable cells

Mehmet Uzunosmanoğlu (UGent) , Birger Raa (UGent) , Veronique Limère (UGent) , Alexander De Cock, Yogang Singh (UGent) , Angel J. Lopez (UGent) , Sidharta Gautama (UGent) and Johannes Cottyn (UGent)
(2021) Advances in production management systems, artificial intelligence for sustainable and resilient production systems, IFIP WG 5.7 International Conference, APMS 2021, proceedings, part II. In IFIP Advances in Information and Communication Technology 631. p.525-534
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Abstract
This paper deals with aggregate planning of Reconfigurable Assembly Lines (RAL). The assembly line considered in this paper consists of hexagonal cells. These have multiple slots where processing modules can be inserted to perform certain operations. In addition, each cell has a single central slot where a central module can be inserted for inter-cellular and intra-cellular transportation of parts. Multiple products with different assembly sequences must be handled over multiple planning periods. An Integer Quadratic Programming (IQP) model is proposed to solve the following problems simultaneously: (i) assigning processing modules and a central module to the cells; (ii) installation of the cells and conveyors between the cells; and (iii) routing products, ensuring that availability of the resources is not exceeded. The assembly line should be reconfigured over time to adapt to possible product functionality and demand changes at minimum reconfiguration, operational and material handling costs while ensuring the demand is met within each period. The IQP model is implemented and solved for an illustrative problem and its extensions using Gurobi.
Keywords
Reconfigurable assembly lines, Aggregate planning, Integer quadratic programming, Optimisation models

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MLA
Uzunosmanoğlu, Mehmet, et al. “Aggregate Planning for Multi-Product Assembly Lines with Reconfigurable Cells.” Advances in Production Management Systems, Artificial Intelligence for Sustainable and Resilient Production Systems, IFIP WG 5.7 International Conference, APMS 2021, Proceedings, Part II, edited by Alexandre Dolgui et al., vol. 631, Springer, 2021, pp. 525–34, doi:10.1007/978-3-030-85902-2_56.
APA
Uzunosmanoğlu, M., Raa, B., Limère, V., De Cock, A., Singh, Y., Lopez, A. J., … Cottyn, J. (2021). Aggregate planning for multi-product assembly lines with reconfigurable cells. In A. Dolgui, A. Bernard, D. Lemoine, G. von Cieminski, & D. Romero (Eds.), Advances in production management systems, artificial intelligence for sustainable and resilient production systems, IFIP WG 5.7 International Conference, APMS 2021, proceedings, part II (Vol. 631, pp. 525–534). https://doi.org/10.1007/978-3-030-85902-2_56
Chicago author-date
Uzunosmanoğlu, Mehmet, Birger Raa, Veronique Limère, Alexander De Cock, Yogang Singh, Angel J. Lopez, Sidharta Gautama, and Johannes Cottyn. 2021. “Aggregate Planning for Multi-Product Assembly Lines with Reconfigurable Cells.” In Advances in Production Management Systems, Artificial Intelligence for Sustainable and Resilient Production Systems, IFIP WG 5.7 International Conference, APMS 2021, Proceedings, Part II, edited by Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, and David Romero, 631:525–34. Springer. https://doi.org/10.1007/978-3-030-85902-2_56.
Chicago author-date (all authors)
Uzunosmanoğlu, Mehmet, Birger Raa, Veronique Limère, Alexander De Cock, Yogang Singh, Angel J. Lopez, Sidharta Gautama, and Johannes Cottyn. 2021. “Aggregate Planning for Multi-Product Assembly Lines with Reconfigurable Cells.” In Advances in Production Management Systems, Artificial Intelligence for Sustainable and Resilient Production Systems, IFIP WG 5.7 International Conference, APMS 2021, Proceedings, Part II, ed by. Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, and David Romero, 631:525–534. Springer. doi:10.1007/978-3-030-85902-2_56.
Vancouver
1.
Uzunosmanoğlu M, Raa B, Limère V, De Cock A, Singh Y, Lopez AJ, et al. Aggregate planning for multi-product assembly lines with reconfigurable cells. In: Dolgui A, Bernard A, Lemoine D, von Cieminski G, Romero D, editors. Advances in production management systems, artificial intelligence for sustainable and resilient production systems, IFIP WG 57 International Conference, APMS 2021, proceedings, part II. Springer; 2021. p. 525–34.
IEEE
[1]
M. Uzunosmanoğlu et al., “Aggregate planning for multi-product assembly lines with reconfigurable cells,” in Advances in production management systems, artificial intelligence for sustainable and resilient production systems, IFIP WG 5.7 International Conference, APMS 2021, proceedings, part II, Nantes, France, 2021, vol. 631, pp. 525–534.
@inproceedings{8721289,
  abstract     = {{This paper deals with aggregate planning of Reconfigurable Assembly Lines (RAL). The assembly line considered in this paper consists of hexagonal cells. These have multiple slots where processing modules can be inserted to perform certain operations. In addition, each cell has a single central slot where a central module can be inserted for inter-cellular and intra-cellular transportation of parts. Multiple products with different assembly sequences must be handled over multiple planning periods. An Integer Quadratic Programming (IQP) model is proposed to solve the following problems simultaneously: (i) assigning processing modules and a central module to the cells; (ii) installation of the cells and conveyors between the cells; and (iii) routing products, ensuring that availability of the resources is not exceeded. The assembly line should be reconfigured over time to adapt to possible product functionality and demand changes at minimum reconfiguration, operational and material handling costs while ensuring the demand is met within each period. The IQP model is implemented and solved for an illustrative problem and its extensions using Gurobi.}},
  author       = {{Uzunosmanoğlu, Mehmet and Raa, Birger and Limère, Veronique and De Cock, Alexander and Singh, Yogang and Lopez, Angel J. and Gautama, Sidharta and Cottyn, Johannes}},
  booktitle    = {{Advances in production management systems, artificial intelligence for sustainable and resilient production systems, IFIP WG 5.7 International Conference, APMS 2021, proceedings, part II}},
  editor       = {{Dolgui, Alexandre and Bernard, Alain and Lemoine, David and von Cieminski, Gregor and Romero, David}},
  isbn         = {{9783030859015}},
  issn         = {{1868-4238}},
  keywords     = {{Reconfigurable assembly lines,Aggregate planning,Integer quadratic programming,Optimisation models}},
  language     = {{eng}},
  location     = {{Nantes, France}},
  pages        = {{525--534}},
  publisher    = {{Springer}},
  title        = {{Aggregate planning for multi-product assembly lines with reconfigurable cells}},
  url          = {{http://doi.org/10.1007/978-3-030-85902-2_56}},
  volume       = {{631}},
  year         = {{2021}},
}
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