Robust parameter design of products and processes with an ordinal categorical response using random forests

Download

index.pdf

Date

2018

Author

Gülbudak Dil, Seçil

Metadata

Show full item record

Item Usage Stats

313
views

78
downloads

In industrial organizations, manufacturers aim to achieve target product performance with minimum variation. For that reason, finding optimal settings of product and process design parameters that make it possible to consistently achieve target product performance is an important design problem. In this study, we propose an alternative method to solve this problem for the case of an ordinal categorical product/process response. The method utilizes Random Forest (RF) for modelling mean and variance of the response at a given set of parameter settings. The method uses different weighting strategies of Random Forest, and it is applied on three case problems. Two of the case problems are of the larger-the-better type, and the other one is of the smaller-the-better type. In addition, obtained results are compared with those of previous studies that used the same data sets. In comparing the results, classification performance, probability of observing target class, and both location and dispersion of results are considered. Advantages and disadvantages of the proposed method are discussed.

Subject Keywords

Robust control., Robust optimization., Manufacturing processes.

URI

http://etd.lib.metu.edu.tr/upload/12622202/index.pdf
https://hdl.handle.net/11511/27374

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Soft Systems Methodology for design process improvement Bayraktaroğlu, Bengül; Özkan Yıldırım, Sevgi; Department of Information Systems (2018) Organizations from different business sectors, which are certified by some standardization organizations, are increasingly prioritizing the process improvement to raise their product's quality. The process improvement in these organizations has focused principally on the refinement of existing processes to improve. This thesis study describes the application of Soft Systems Methodology (SSM) for engineering design process improvement in an organization. In the concept of thesis study, it will lead to identi...
Industrial design and the mass customization of electronic consumer goods Kayğın Sel, Sultan; Pedgley, Owaın Francıs; Hasdoğan, Gülay Fatma; Department of Industrial Design (2013) Mass customization is promoted in manufacturing industry as a way to satisfy individual customer requirements in a flexible, efficient and cost effective way. However, mass customization within the specific sector of ‘electronic consumer goods’ is relatively underdeveloped, whilst the contributions of industrial designers to mass customization remain quite unclear. This research redresses both of these issues, elaborating on the possibilities of mass-customization in the electronic consumer goods sector, an...
Comparison of methods for robust parameter design of products and processes with an ordered categorical response Bacanlı Karabulut, Gonca; Köksal, Gülser; Department of Industrial Engineering (2013) 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 ...
A robust optimization model for sustainable and resilient closed-loop supply chain network design considering conditional value at risk Lotfi, Reza; Mehrjerdi, Yahia Zare; Pishvaee, Mir Saman; Sadeghieh, Ahmad; Weber, Gerhard Wilhelm (2021-06-01) One of the challenges facing supply chain designers is designing a sustainable and resilient supply chain network. The present study considers a closed-loop supply chain by taking into account sustainability, resilience, robustness, and risk aversion for the first time. The study suggests a two-stage mixed-integer linear programming model for the problem. Further, the robust counterpart model is used to handle uncertainties. Furthermore, conditional value at risk criterion in the model is considered in orde...
Design in Context Product Design through Local Initiatives Doğan, Çağla (2002-07-17) Current notions of sustainability within the field of product manufacturing largely depend on business strategies that are predominantly 'top-down ' approaches. However, it is theoretically and practically naive and also unworkable for conventionally structured large manufacturing businesses to simply put on the vestments of sustainability. Many of the structures, philosophies and raisons d'etre are inherently and systemically in conflict with an holistic understanding of sustainability. In order to positiv...

Citation Formats

S. Gülbudak Dil, “Robust parameter design of products and processes with an ordinal categorical response using random forests,” M.S. - Master of Science, Middle East Technical University, 2018.