A fuzzy approach to using expert knowledge for tuning paper machines. Issue 6 (1st June 2017)

• Record Type: Journal Article
• Authors: Mezei, József; Brunelli, Matteo; Carlsson, Christer
• Is Part Of: Journal of the Operational Research Society. Volume 68:Issue 6(2017)
• Page Start: 605
• Page End: 616
• Publication Date: 2017-06-01
• Subjects: paper machines -- fuzzy ontology -- multiobjective optimization -- goal programming -- possibilistic chance programming -- soft computing; Operations research -- Periodicals; 658.4034
• DOI: 10.1057/s41274-016-0105-3
• Languages: English
• ISSNs: 0160-5682

Abstract

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.