Paper Info
Title
A fuzzy approach to using expert knowledge for tuning paper machines.
Abstract
Paper machines are very complex production systems, but their scope is simple: they consume materials and resources, called factors, to produce paper, which in turn can be described by its characteristics. In this paper, a decision support system is developed in cooperation with an industrial partner to help them with operational decision making when tuning a paper machine. The decision support system was developed in two phases. Firstly, the knowledge of experts is collected and stored in the form of a fuzzy ontology. Secondly, this knowledge is made usable so that a user of the decision support system can specify what characteristics of the produced paper to increase or to decrease and be returned with a recommendation on what factors to change. In this paper, we will work out the optimization problems on which the system is based. Additionally to a basic goal programming model, two extensions are explored, accounting for uncertainty and non-linearity, respectively.
Year
DOI
Venue
2017
10.1057/s41274-016-0105-3
JORS
Keywords
Field
DocType
paper machines, fuzzy ontology, multiobjective optimization, goal programming, possibilistic chance programming, soft computing
USable,Industrial engineering,Computer science,Fuzzy logic,Decision support system,Operations research,Multi-objective optimization,Paper machine,Goal programming,Soft computing,Optimization problem,Management science
Journal
Volume
Issue
ISSN
68
6
0160-5682
Citations 
PageRank 
References 
3
0.40
13
Authors
3
Name
Order
Citations
PageRank
József Mezei120220.07
Matteo Brunelli2111.95
Christer Carlsson31844164.70