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Irregular Packing Using the Line and Arc No-Fit Polygon

Author

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  • E. K. Burke

    (School of Computer Science, University of Nottingham, Nottingham NG8 1BB, United Kingdom)

  • R. S. R. Hellier

    (School of Computer Science, University of Nottingham, Nottingham NG8 1BB, United Kingdom)

  • G. Kendall

    (School of Computer Science, University of Nottingham, Nottingham NG8 1BB, United Kingdom)

  • G. Whitwell

    (School of Computer Science, University of Nottingham, Nottingham NG8 1BB, United Kingdom)

Abstract

The no-fit polygon is a geometric construct that can offer faster and more efficient handling of geometry between pairs of shapes than traditional line-by-line intersection. The detection of intersections is a critical operation within the irregular two-dimensional stock-cutting problem (also known as “nesting”), which aims to place shapes onto sheets of material so that the material is utilised as efficiently as possible and the waste (or trim loss) is reduced. The problem forms an important process within many real-world manufacturing industries such as metalworking, automotive production, aerospace, clothing and conservatory manufacture, and others. If manufacturers can reduce their costs by utilising raw materials more effectively, this can directly translate into increased profit margins or greater competitiveness within the marketplace. Moreover, there are significant environmental benefits to be gained. Several methods have been proposed to calculate no-fit polygons, but most, if not all, can only operate on geometry that consists of line segments. This paper extends the orbital sliding method of calculating no-fit polygons to enable it to handle arcs and then shows the resultant no-fit polygons being utilised successfully on the two-dimensional irregular packing problem. As far as the authors are aware, this is the first time that a no-fit polygon algorithm has been able to handle arcs robustly without decomposing to their line approximations. The modification of the authors' previously published packing algorithm to utilise the proposed no-fit polygon approach yields solutions of excellent quality (including several best-known) on well-established literature benchmark problems after only a few minutes. The authors believe that the success of the packing strategy and the line and arc no-fit polygon algorithm make this approach a serious candidate for use in real-world production environments.

Suggested Citation

  • E. K. Burke & R. S. R. Hellier & G. Kendall & G. Whitwell, 2010. "Irregular Packing Using the Line and Arc No-Fit Polygon," Operations Research, INFORMS, vol. 58(4-part-1), pages 948-970, August.
  • Handle: RePEc:inm:oropre:v:58:y:2010:i:4-part-1:p:948-970
    DOI: 10.1287/opre.1090.0770
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    References listed on IDEAS

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    1. Wascher, Gerhard & Hau[ss]ner, Heike & Schumann, Holger, 2007. "An improved typology of cutting and packing problems," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1109-1130, December.
    2. Gomes, A. Miguel & Oliveira, Jose F., 2006. "Solving Irregular Strip Packing problems by hybridising simulated annealing and linear programming," European Journal of Operational Research, Elsevier, vol. 171(3), pages 811-829, June.
    3. Jakobs, Stefan, 1996. "On genetic algorithms for the packing of polygons," European Journal of Operational Research, Elsevier, vol. 88(1), pages 165-181, January.
    4. Bennell, Julia A. & Oliveira, Jose F., 2008. "The geometry of nesting problems: A tutorial," European Journal of Operational Research, Elsevier, vol. 184(2), pages 397-415, January.
    5. Edmund Burke & Robert Hellier & Graham Kendall & Glenn Whitwell, 2006. "A New Bottom-Left-Fill Heuristic Algorithm for the Two-Dimensional Irregular Packing Problem," Operations Research, INFORMS, vol. 54(3), pages 587-601, June.
    6. Burke, E.K. & Hellier, R.S.R. & Kendall, G. & Whitwell, G., 2007. "Complete and robust no-fit polygon generation for the irregular stock cutting problem," European Journal of Operational Research, Elsevier, vol. 179(1), pages 27-49, May.
    7. L Huyao & H Yuanjun & J A Bennell, 2007. "The irregular nesting problem: a new approach for nofit polygon calculation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(9), pages 1235-1245, September.
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    1. Jones, Sandra C., 2011. "“You wouldn’t know it had alcohol in it until you read the can”: Adolescents and alcohol-energy drinks," Australasian marketing journal, Elsevier, vol. 19(3), pages 189-195.
    2. Chehrazad, Sahar & Roose, Dirk & Wauters, Tony, 2022. "A fast and scalable bottom-left-fill algorithm to solve nesting problems using a semi-discrete representation," European Journal of Operational Research, Elsevier, vol. 300(3), pages 809-826.
    3. Umetani, Shunji & Murakami, Shohei, 2022. "Coordinate descent heuristics for the irregular strip packing problem of rasterized shapes," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1009-1026.
    4. Martinez-Sykora, Antonio & Alvarez-Valdes, Ramon & Bennell, Julia & Tamarit, Jose Manuel, 2015. "Constructive procedures to solve 2-dimensional bin packing problems with irregular pieces and guillotine cuts," Omega, Elsevier, vol. 52(C), pages 15-32.
    5. Leao, Aline A.S. & Toledo, Franklina M.B. & Oliveira, José Fernando & Carravilla, Maria Antónia & Alvarez-Valdés, Ramón, 2020. "Irregular packing problems: A review of mathematical models," European Journal of Operational Research, Elsevier, vol. 282(3), pages 803-822.
    6. Wenbin Zhu & Zhixing Luo & Andrew Lim & Wee-Chong Oon, 2016. "A fast implementation for the 2D/3D box placement problem," Computational Optimization and Applications, Springer, vol. 63(2), pages 585-612, March.

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