Robust Production Planning and Scheduling of a Pulp Digester and a Paper Machine

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

figueira, g (Author) FEUP; Bernardo Almada Lobo (Author) FEUP

Conference proceedings International

Title: 24TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A AND B

Pages: 499-504

24th European Symposium on Computer Aided Process Engineering (ESCAPE)

Budapest, HUNGARY, JUN 15-18, 2014

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-00A-15P

DOI: 10.1016/b978-0-444-63456-6.50084-3

Abstract (EN): Disturbance Management is a major issue in process industries like the pulp and paper (P&P) case and is mostly performed in the execution/control level. That approach is confined to the amendment of plans sent by upper levels and can thus be problematic. This paper moves towards the integration of planning and control, starting from the planning's point of view. The application of Simulation-Optimization (S-O) allows considering uncertainty, but keeping a deterministic tractable optimization model. Indeed, it is the simulation model that incorporates more complex elements such as stochastic variables, as well as integrates (with more or less detail) the execution/control behaviour. In this work, we present a case study of a P&P mill, focusing on the two most critical production resources (the digester and the paper machine). The feedback obtained by simulating their interaction is used to adjust the slacks introduced in the intermediate tank. In this way, we are able to generate plans that are not only optimized concerning company's indicators, but also robust against disturbances.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6