J 2025

Multi-Criterion Support for the Decision Problem Solving in the Food Packaging Process

POSTROZNY, Jacek; Robert BUCKI and Petr SUCHÁNEK

Basic 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