Predictive production planning in an integrated pulp and paper mill

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

figueira, g (Author) FEUP; furlan, m (Author) Other; almada-lobo, b (Author) FEUP

Conference proceedings International

Title: IFAC Proceedings Volumes (IFAC-PapersOnline)

Pages: 371-376

11th IFAC Workshop on Intelligent Manufacturing Systems, IMS 2013

Sao Paulo, 22 May 2013 through 24 May 2013

Indexing

ISI Web of Knowledge

Scopus - 4 Citations

Scientific classification

CORDIS: Technological sciences

Other information

Authenticus ID: P-008-E60

DOI: 10.3182/20130619-3-ru-3018.00409

Abstract (EN): Disturbance Management is a major issue in process industries like the pulp and paper (P&P) industry. In this paper, a case study in an integrated P&P mill is examined. Production plans for the whole mill need not only to be optimized concerning company's indicators, but also to be robust so that disturbances can be avoided. We present a simulation-optimization approach that generates plans, correctly weighting their quality (regarding various indicators) and robustness. A discrete-event simulation model replicates the dynamics of implementation and adaptation of production plans in practice. The simulation model gives then feedback to optimization, in order to enhance the analytical model, which is thus able to generate robust plans. © IFAC.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6