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Title: Predictive production planning in an integrated pulp and paper mill
Authors: Gonçalo Reis Figueira
Bernardo Almada-Lobo
Issue Date: 2013
Abstract: 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.
metadata.dc.type: conferenceObject
Appears in Collections:CEGI - Articles in International Conferences

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