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Application of fuzzy relational modelling to industrial product quality control. (English) Zbl 0902.90070
Onisawa, Takehisa (ed.) et al., Reliability and safety analyses under fuzziness. Heidelberg: Physica Verlag. Stud. Fuzziness. 4, 203-216 (1995).
Summary: Industrial product quality control is a typical mathematical programming and optimization problem. Unfortunately, complete and precise models are not always available for many industrial processes. A fuzzy relation modelling approach is proposed to describe approximate relationships among system variables and reconcile empirical equations. Symmetric fuzzy decision-making is transformed into a nonlinear function maximization problem. The approach is applied to optimization of a wood chip refining process. It is used either to improve pulp quality within the refiner operation range, or to reduce operation costs while maintaining an acceptable pulp quality.
For the entire collection see [Zbl 0888.00012].
MSC:
90B25 Reliability, availability, maintenance, inspection in operations research
62P30 Applications of statistics in engineering and industry; control charts
90C70 Fuzzy and other nonstochastic uncertainty mathematical programming
90C90 Applications of mathematical programming
Software:
Refiner
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