Analysis of the Robustness of the Operational Performance Using a Combined Model of the Design of Experiment and Goal Programming Approaches for a Flexible Manufacturing Cell

Autor:	Yusuf Tansel İç, Mustafa Yurdakul, Berna Dengiz, Turgut Şaşmaz
Rok vydání:	2022
Předmět:	Strategy and Management Industrial and Manufacturing Engineering Computer Science Applications
Zdroj:	Journal of Advanced Manufacturing Systems. 22:41-66
ISSN:	1793-6896 0219-6867
DOI:	10.1142/s0219686723500038
Popis:	A combined model of a 2k design of experiment (DOE) and goal programming (GP) approaches is presented to determine optimum levels of input variables and analyze their robustness for a multiobjective performance of a flexible manufacturing cell (FMC) in this study. Two main performance metrics, namely, manufacturing lead time (MLT) and surface roughness (SR), are considered performance outputs for the FMC. Machine sequence, robot speed, tool type, and material type are selected as the four input variables on the input side of the proposed model. The study shows that even with a limited number of experiments, one can determine optimum input levels for the multiobjective performance of the FMC and determine their robustness.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b6c6ba0a28f75dfa335aa0a888b273ae https://doi.org/10.1142/s0219686723500038 Zobrazit plný text záznamu