Comparison of methods for robust parameter design of products and processes with an ordered categorical response

Download
2013
Bacanlı Karabulut, Gonca
Robust design of products or processes with categorical response has more momentous role in industrial experiments for quality improvements, because ordinal categorical quality characteristics are encountered more frequent than continuous ones in industry. In this study, five optimization methods for an ordered categorical response are compared with each other: Logistic Regression Model Optimization (LRMO), Accumulation Analysis (AA), Weighted Signal-to-noise Ratio (WSNR), Scoring Scheme (SS), and Weighted Probability Scoring Scheme (WPSS). In order to compare performance of these methods for different types of robust design problems, each method is individually applied on two different types of problems: smaller-the-better and larger-the-better. All examples are studied to find the optimal parameter settings of statistically significant controllable factors and trying to optimize both location and dispersion of the results. To compare the optimal levels derived from these five methods, three performance criteria are used: SNR at optimal parameter settings, estimated by ANOVA model of continuous version of data or true model (if applicable); probability of observing target category, estimated by LR models; and that of observing target category estimated by ANOVA models of cumulative percentage of categories. According to the results, LRMO and AA methods have the best performance results in most of the examples analyzed in this study. Since AA is criticized as not allowing analysis of location and dispersion effects separately but not LRMO, WPSS and SS, more examples and further analysis might be studied to show this discrepancy of the methods.

Suggestions

A Remanufacturing system with imperfect sorting: deterministic and probabilistic models
Tan, Merve; Bakal, İsmail Serdar; Yüksel Özkaya, Banu; Department of Industrial Engineering (2018)
In this study, we focus on inaccurate sorting process with classification errors in a reverse supply chain comprising a remanufacturer and a collector under deterministic demand in a single time period. The collector acquires used items from end-users and the remanufacturer reproduces them to serve the deterministic demand of remanufactured products. There are two sources of uncertainty: uncertain quality of used items and uncertain quality of sorted items due to imperfect testing. Used items are categorize...
A linear programming approach to quaity improvement project and product mix selection under inspection error and rework
Şarbak, Nedret; Köksal, Gülser; Department of Industrial Engineering (2006)
In this study, the effect of inspection error on the product mix and quality projects selection in a manufacturing environment where rework and inspection errors exist is examined. It is assumed that the products (items) for which rework is necessary are reprocessed at a separate work center and 100% inspection is performed for the products both after rework and processing operations. Markov chain approach is used to compute yield and rework rates. In addition, nominal-the-best type of a quality loss functi...
A review on modeling and simulation of quenching
Şimşir, Caner; Gür, Cemil Hakan (2010-01-01)
Modeling and simulation of quenching are powerful tools in the design, optimization, and understanding of the quenching process since they provide quantitative results such as the evolution of microstructure and the internal stresses, which are practically impossible to acquire experimentally. The research on simulation of quenching and related phenomena originates from the early 70s and is still an active field owing to its industrial and scientific output. This paper aims to provide a comprehensive review...
A review on modeling and simulation of quenching
Şimşir, Caner; Gür, Cemil Hakan (ASTM International, 2009-02-01)
Modeling and simulation of quenching are powerful tools in the design, optimization, and understanding of the quenching process since they provide quantitative results such as the evolution of microstructure and the internal stresses, which are practically impossible to acquire experimentally. The research on simulation of quenching and related phenomena originates from the early 70s and is still an active field owing to its industrial and scientific output. This paper aims to provide a comprehensive review...
Forecasting of Product Quality Through Anomaly Detection
Dinç, Mehmet; Ertekin Bolelli, Şeyda; Özkan, Hadi; Meydanlı, Can; Atalay, Mehmet Volkan (2020)
Forecasting of product quality by means of anomaly detection is crucial in real-world applications such as manufacturing systems. In manufacturing systems, the quality is assured through tests performed on sample units randomly chosen from a batch of manufactured units. One of the major issues is to detect defective units among the sample test units as early as possible in terms of test time and of course as accurate as possible. Traditional way of detecting defective units is to make use of human experts d...
Citation Formats
G. Bacanlı Karabulut, “Comparison of methods for robust parameter design of products and processes with an ordered categorical response,” M.S. - Master of Science, Middle East Technical University, 2013.