Solving a production optimization problem in a paper-converting mill with MILP

Tapio Westerlund*, Iiro Harjunkoski, Johnny Isaksson

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

26 Citations (Scopus)

Abstract

The present paper deals with a production optimization problem connected with the paper-converting industry. The problem considered is to produce a set of product paper reels from larger raw paper reels such that a cost function is minimized. The problem is generally non-convex due to a bilinear objective function and some bilinear constraints, both of which give rise to certain problems. The problem can, however, be solved as a two-step optimization procedure, in which the latter step is a mixed integer linear programming problem. A numerical example is introduced to illustrate the proposed procedure. The example is taken from a real-life daily production optimization problem encountered at a Finnish paper-converting mill, Wisapak Oy, having an annual production of just over 100,000 tons of printed paper.

Original languageEnglish
Pages (from-to)563-570
Number of pages8
JournalComputers and Chemical Engineering
Volume22
Issue number4-5
Publication statusPublished - 20 Apr 1998
MoE publication typeA1 Journal article-refereed

Keywords

  • Mixed integer non-linear programming
  • Optimization
  • Production optimization
  • Scheduling problems
  • Trim loss problems

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