relation: http://eprints.imtlucca.it/1037/
title: Neural network model-based paper machine marginal cost curves
creator: Patrinos, Panagiotis
creator: Sarimveis, Haralambos
creator: Retsina, Th
creator: Rutherford, S.R
creator: Alexandridis, Alex
subject: HD28 Management. Industrial Management
subject: QA Mathematics
description: In this paper we present a methodology for developing paper machine marginal cost curves, which include variable material and energy costs, fixed costs and overhead costs. The methodology is based on the radial basis function (RBF) neural network architecture and takes into account the complex interactions between the different mill departments. The outcome of the proposed method is the calculation of marginal costs for different paper machine production rates and different grades. The resulting cost curves can be used to take optimal decisions regarding paper machine loadings and optimize production allocation.
date: 2005
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Patrinos, Panagiotis and Sarimveis, Haralambos and Retsina, Th and Rutherford, S.R and Alexandridis, Alex  Neural network model-based paper machine marginal cost curves.  In: TAPPI Engineering, Pulping & Environmental Conference, August 28-31, 2005, Philadelphia, USA         (2005)