2025
Multi-Criterion Support for the Decision Problem Solving in the Food Packaging Process
POSTROZNY, Jacek; Robert BUCKI and Petr SUCHÁNEKBasic information
Original name
Multi-Criterion Support for the Decision Problem Solving in the Food Packaging Process
Authors
POSTROZNY, Jacek; Robert BUCKI and Petr SUCHÁNEK
Edition
Decision Making: Applications in Management and Engineering, 2025, 2560-6018
Other information
Language
English
Type of outcome
Article in a journal
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Serbia
Confidentiality degree
is not subject to a state or trade secret
References:
Organization unit
School of Business Administration in Karvina
EID Scopus
2-s2.0-105006738051
Keywords in English
Food packaging process; fuzzy evaluation; decision making; optimization criteria; Pareto optimum
Tags
International impact, Reviewed
Changed: 2/8/2025 21:23, doc. Mgr. Petr Suchánek, Ph.D.
Abstract
In the original language
The paper highlights the problem of the two-stage procedure for optimizing food packaging where the first stage involves selecting the optimal packaging structure and the second stage allows for the optimal selection of parameters of the packaging machine taking into account two criteria: the efficiency of the packaging process and the oxygen content in the packaging. The use of the modified Baas and Kwakernaak method in an industrial experiment allowed for the determination of the optimal packaging configuration assuming there are two types of criteria: deterministic ones focusing on the unit cost of packaging and tightness of the packaging and fuzzy ones focusing on appearance, smell and taste of the packaged product. The optimal packaging variant is variant a7 with the highest weighted average rating value equal to 0,7113. As part of parametric optimization, based on the obtained experimental results, the analyzed optimization criteria are presented in the form of regression equations and then these equations are subjected to statistical analysis. The form of the substitute criterion is formulated for the resulting single-criterion optimization problem. To deter-mine the set of Pareto optimal variants, the weight method is used, changing weight values every 0.05. Finally, the best variant is selected due to two opposing criteria using the distance function method implementing the Euclidean metric. The decision variables of the optimal variant also constitute the optimal parameters of the packaging machine due to the adopted optimization criteria. The optimal variant of the packaging process is variant 9 for which the value of the distance function di[f(x)] reaches the lowest value, i.e. 0.5533