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Mathematical Modeling and Optimal Blank Generation in Glass Manufacturing

Author

Listed:
  • Raymond Phillips
  • Matthew Woolway
  • Dario Fanucchi
  • M. Montaz Ali

Abstract

This paper discusses the stock size selection problem (Chambers and Dyson, 1976), which is of relevance in the float glass industry. Given a fixed integer N, generally between 2 and 6 (but potentially larger), we find the N best sizes for intermediate stock from which to cut a roster of orders. An objective function is formulated with the purpose of minimizing wastage, and the problem is phrased as a combinatorial optimization problem involving the selection of columns of a cost matrix. Some bounds and heuristics are developed, and two exact algorithms (depth‐first search and branch‐and‐bound) are applied to the problem, as well as one approximate algorithm (NOMAD). It is found that wastage reduces dramatically as N increases, but this trend becomes less pronounced for larger values of N (beyond 6 or 7). For typical values of N, branch‐and‐bound is able to find the exact solution within a reasonable amount of time.

Suggested Citation

  • Raymond Phillips & Matthew Woolway & Dario Fanucchi & M. Montaz Ali, 2014. "Mathematical Modeling and Optimal Blank Generation in Glass Manufacturing," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
  • Handle: RePEc:wly:jnljam:v:2014:y:2014:i:1:n:959453
    DOI: 10.1155/2014/959453
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    References listed on IDEAS

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    2. P. C. Gilmore & R. E. Gomory, 1965. "Multistage Cutting Stock Problems of Two and More Dimensions," Operations Research, INFORMS, vol. 13(1), pages 94-120, February.
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