AN IMPROVED HEURISTIC FOR THE TWO-DIMENSIONAL CUTTING STOCK PROBLEM WITH MULTIPLE SIZED STOCK SHEETS

Authors

  • Ahmed El-Bouri Department of Mechanical and Industrial Engineering Ryerson University
  • Jinsong Rao Department of Mechanical and Industrial Engineering University of Manitoba
  • Neil Poppelwell Department of Mechanical and Industrial Engineering University of Manitoba
  • S. Balakrishnan Department of Mechanical and Industrial Engineering University of Manitoba

DOI:

https://doi.org/10.23055/ijietap.2006.13.2.437

Keywords:

Two-dimensional cutting stock problem, Multiple stock sheets, Bin packing, Trim loss, Heuristic

Abstract

This paper deals with the problem of cutting multiple sized, rectangular stock sheets into smaller rectangular order pieces to

satisfy a given bill of material with minimum trim loss. A new heuristic procedure is devised that finds an effective stock

sheet selection sequence, given that the layout procedure used for individual sheets is known. Results for randomly created

test problems are compared with those from three previously published procedures. The new heuristic is shown to give a

balanced trade-off between trim loss reduction and computational effort, especially as the number of available stock sheet

sizes increases.

Downloads

Published

2022-02-24

How to Cite

El-Bouri, A., Rao, J., Poppelwell, N., & Balakrishnan, S. (2022). AN IMPROVED HEURISTIC FOR THE TWO-DIMENSIONAL CUTTING STOCK PROBLEM WITH MULTIPLE SIZED STOCK SHEETS. International Journal of Industrial Engineering: Theory, Applications and Practice, 13(2), 198–206. https://doi.org/10.23055/ijietap.2006.13.2.437

Issue

Section

Operations Research