Browsing by Author "Sasmaz, Turgut"

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Analysis of the manufacturing flexibility parameters with effective performance metrics: a new interactive approach based on modified TOPSIS-Taguchi method
(2022) Ic, Yusuf Tansel; Sasmaz, Turgut; Yurdakul, Mustafa; Dengiz, Berna; 0000-0001-9274-7467; AGE-3003-2022
Flexibility is one of the most important strategy parameters to achieve a long-term successful performance for a manufacturing company. Studies in the literature aim to operate a manufacturing system at optimum levels of flexibility parameters under its own manufacturing environment. This study aims to present an interactive analysis framework based on TOPSIS and Taguchi parameter design principles for investigating the effects of different levels of flexibility parameters on the performance of a flexible manufacturing cell (FMC). The main performance metric used in this study is manufacturing lead time. Other important metrics to evaluate quality control and inspection policies are also investigated in this study. To conclude, a combined model of an interactive approach based on TOPSIS and Taguchi methods are used to assess the effectiveness of the flexibility parameters for a FMC.
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
(2023) Ic, Yusuf Tansel; Yurdakul, Mustafa; Dengiz, Berna; Sasmaz, Turgut
A combined model of a 2(k) 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.
Minimisation of Carbon Emission Regarding Surface Roughness and Processing Time During Turning Process of Medium Carbon Steel and Stainless Steel Materials
(AUSTRALIAN JOURNAL OF MECHANICAL ENGINEERING, 2024) Tansel A A, Yusuf; Saraloglu Guler, Ebru; Sasmaz, Turgut
Low carbon manufacturing has gathered attention since wide range of the emission sources belong to industrial activities. The present work analysed five turning parameters which are spindle speed, cutting speed, depth of cut, type of tool material and working material to obtain minimum carbon emission together with high surface quality and minimum processing time. Two different cases are investigated depending on the material families. AISI 1040, AISI 4140 and grade St37 carbon steels are examined in the first case whereas AISI 304, AISI 303 and AISI 316 grade stainless steels are studied as working material without changing the other four parameters. The minimum carbon emission by optimisation was found 14.84 and 24.30 kg carbon dioxide (CO2) for stainless steel and carbon steel, respectively. Furthermore, the best candidate was selected as grade St37 among carbon steel working materials and either AISI 303 or AISI 316 stainless steel was proposed according to the optimisation study.