Support System of Acceptance-Rejection Decision for Incoming Quality Control Process
Journal Title: Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji - Year 2019, Vol 7, Issue 3
Abstract
In this study, predictive support systems have been designed for a structure in which takes into account the expert opinions of employees for decision making in addition to four input factors in a yarn quality acceptance process. The first technique is a hybrid genetic algorithm which was previously designed and validated for the classification study and adapted to the current problem. The other method is a hybrid radial based function (RBF) based on neural networks which is adapted to the problem and coded. During the process of classifying the actual production data for the accept-reject decision, accuracy rate of more than 90% has been achieved with two techniques developed and also some other methods which are well-known in literature were used for performance comparison. After the verification of the hybrid genetic algorithm performance, the best chromosome that was obtained, used as the model for classification estimation. According to the proposed methodology, the selected attribute values were multiplied by the determined coefficients and compared with a threshold value, and an acceptance-rejection decision could be made with a reasonable accuracy rate. The contribution of the article to the literature can be evaluated in two ways. The first one is comparing the classification performance of the proposed hybrid genetic algorithm with the hybrid neural networks method, and the second one is utilizing the best chromosome of the proposed genetic algorithm as a support system for yarn quality acceptance process.
Authors and Affiliations
Duygu YILMAZ EROĞLU
Keywords
Related Articles
- EP ID EP674509
- DOI 10.29109/gujsc.549890
- Views 123
- Downloads 0
Determination of Optimum Cutting Parameters Affecting the Surface Form Properties in the Ductile Stainless Steels with Gray Relational Analysis Method
In this study, the effects of cutting parameters with different coatings (TiAlN and TiN) on drilling performance were investigated. Drilling operations were carried out on duplex stainless steels by drilling holes 20 mm...
Effective Capacity Performance of α-κ-μ Fading Channels
In this work, a closed-form expression is derived for effective capacity of α-κ-μ fading channels. Then, an asymptotic expression is also proposed for the effective capacity of the considered channel model. In addition,...
Digital PID Temperature Controlled Laminator Test Kit Design and Production for Small & Medium Scale Photovoltaic Module Production
In this study, laminator design and production are realized for small & medium scale photovoltaic (PV) module production. The reliability of the energy to be supplied by the PV modules and / or the system is possible by...
Comparison of Drum-type and Disc-type Magnetorheological Brakes by Computational Methods
This paper presents a comparison between drum-type and disc-type magnetorheological brakes, based on torque density and efficiency. Magnetic simulations of the parametric brake designs are carried out in FEMM finite elem...
Nano Particles and Nano Wires
This article presents the review of nanotechnology as well as the synthesis, structure, and the wide-ranging properties of nanoparticles and nanowires. It determines this technology and materials, and gives information a...