Identification of reference multi criteria domain model - Production line optimization case study
Author(s) -
Szymon Rymaszewski,
Jarosław Wątróbski,
Artur Karczmarczyk
Publication year - 2020
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2020.09.008
Subject(s) - computer science , identification (biology) , domain (mathematical analysis) , set (abstract data type) , production (economics) , decision analysis , focus (optics) , operations research , production line , decision engineering , decision model , decision support system , data mining , machine learning , business decision mapping , mathematics , mechanical engineering , mathematical analysis , statistics , botany , physics , macroeconomics , optics , economics , biology , programming language , engineering
The methods of multi-criteria decision analysis are widely used for problems of selecting the best solution or ordering their sets. In the vast majority of cases, solving multi-criteria decision-making problems focuses on finding solutions for a given set of alternatives. When, for one or more decisional variants, the values of their attributes change, or a new alternative for assessment appears, the problem occurs. Therefore, in this paper, we focus on identifying the full decision-making model in the issue related to the study case of production line optimization. In this work, the Characteristic Objects METhod (COMET) has been applied. In effect, it identifies the full decision-making model. The decision problem has been identified, taking into account six decision criteria, and its operation has been used in organizing four decision alternatives.
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