The integrated problem of production planning and cutting stock under uncertainties: Application in small-scale furniture plants

Douglas Alem, Reinaldo Morabito

Research output: Contribution to journalArticlepeer-review

Abstract

This paper investigates an integrated production planning and cutting stock problem that is common in small-scale furniture plants, in which the production costs involved in the manufacturing process and the demands for the products are not known precisely. To deal with these uncertainties, robust optimization models that control the conservatism of the solution according to the attitude of the decision maker towards risk were proposed. Computational experiments based on real data from a furniture plant showed that it is possible to obtain robust solutions without overly sacrificing the total cost. In addition, it was observed that commonly used strategies to deal with uncertainty issues can result in production plans with prohibitive total costs.

Translated title of the contributionThe integrated problem of production planning and cutting stock under uncertainties: Application in small-scale furniture plants
Original languagePortuguese
Pages (from-to)111-133
Number of pages23
JournalGestao e Producao
Volume20
Issue number1
DOIs
Publication statusPublished - Jan 2013

Keywords

  • furniture plants
  • production planning
  • robust optimization
  • uncertain costs
  • uncertain demands

Fingerprint Dive into the research topics of 'The integrated problem of production planning and cutting stock under uncertainties: Application in small-scale furniture plants'. Together they form a unique fingerprint.

Cite this