eprintid: 1037
rev_number: 9
eprint_status: archive
userid: 6
dir: disk0/00/00/10/37
datestamp: 2011-12-06 11:36:57
lastmod: 2011-12-06 11:36:57
status_changed: 2011-12-06 11:36:57
type: conference_item
metadata_visibility: show
creators_name: Patrinos, Panagiotis
creators_name: Sarimveis, Haralambos
creators_name: Retsina, Th
creators_name: Rutherford, S.R
creators_name: Alexandridis, Alex
creators_id: panagiotis.patrinos@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
title: Neural network model-based paper machine marginal cost curves
ispublished: pub
subjects: HD28
subjects: QA
divisions: CSA
full_text_status: none
pres_type: paper
abstract: 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
event_title: TAPPI Engineering, Pulping & Environmental Conference
event_location: Philadelphia, USA
event_dates: August 28-31, 2005
event_type: conference
refereed: TRUE
related_url_url: http://www.tappi.org/Bookstore/Technical-Papers/Conference-Papers/2005/05EUR/Neural-Network-Model-Based-Paper-Machine-Marginal-Cost-Curves-2005-Engineering-Pulping--Environme.aspx
related_url_type: pub
citation:   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)