{"id":{"repo_id":"nwu-za","oai_identifier":"oai:repository.nwu.ac.za:10394/40233"},"canonical_url":"https://search.dev.ndltd.org/etd/nwu-za/oai:repository.nwu.ac.za:10394/40233","repository":{"repo_id":"nwu-za","name":"North-West University (South Africa)","base_url":"https://repository.nwu.ac.za/server/oai/request"},"display":{"title":"A comparison of the response model/combined array method and the traditional methods for robust design","abstract":"Genichi Taguchi alerted statisticians to the importance of considering variation as well as target when designing experiments. The Box-Taguchi method ( a variation of his classical method) has placed little emphasis on C-N interactions. In this study, an attempt is made to understand the C-N interactions. To achieve this, simulated examples are used to demonstrate a modern day technique called Response Model/Combined Array. Also, Taguchi's designs call for a complete cross between a (possibly) fractionated so-called control array and a (possibly) fractionated so-called noise array. It is sought to explore the possibility of cutting down on the total number of experimental runs by fractionating a design consisting of control and noise factors put together in one design. The conclusion drawn is that the Response Model/Combined Array method offers a better possibility of saving in the total number of experimental runs than the Box-Taguchi method.","abstract_html":"Genichi Taguchi alerted statisticians to the importance of considering variation as well as target when designing experiments. The Box-Taguchi method ( a variation of his classical method) has placed little emphasis on C-N interactions. In this study, an attempt is made to understand the C-N interactions. To achieve this, simulated examples are used to demonstrate a modern day technique called Response Model/Combined Array. Also, Taguchi's designs call for a complete cross between a (possibly) fractionated so-called control array and a (possibly) fractionated so-called noise array. It is sought to explore the possibility of cutting down on the total number of experimental runs by fractionating a design consisting of control and noise factors put together in one design. 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The Box-Taguchi method ( a variation of his classical method) has placed little emphasis on C-N interactions. In this study, an attempt is made to understand the C-N interactions. To achieve this, simulated examples are used to demonstrate a modern day technique called Response Model/Combined Array. Also, Taguchi's designs call for a complete cross between a (possibly) fractionated so-called control array and a (possibly) fractionated so-called noise array. It is sought to explore the possibility of cutting down on the total number of experimental runs by fractionating a design consisting of control and noise factors put together in one design. The conclusion drawn is that the Response Model/Combined Array method offers a better possibility of saving in the total number of experimental runs than the Box-Taguchi method."]},{"key":"dc:title","label":"Title","values":["A comparison of the response model/combined array method and the traditional methods for robust design"]}]}],"canonical_facts":{"dc:contributor.advisor":["Pothas, A.","De Wet, Andries Gerhardus"],"dc:creator":["Pooe, Charlemagne Aaron"],"dc:date.accessioned":["2022-11-14T12:22:00Z"],"dc:date.available":["2022-11-14T12:22:00Z"],"dc:date.issued":["1994"],"dc:description":["MSc (Operasionele Navorsing), North-West University, Mahikeng Campus"],"dc:description.abstract":["Genichi Taguchi alerted statisticians to the importance of considering variation as well as target when designing experiments. The Box-Taguchi method ( a variation of his classical method) has placed little emphasis on C-N interactions. 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