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dc.contributor.authorAntony, Jiju
dc.contributor.authorColeman, Shirley
dc.contributor.authorMontgomery, Douglas C.
dc.contributor.authorAnderson, Mark J.
dc.contributor.authorJohnson, Rachel T.
dc.date2011
dc.date.accessioned2016-01-26T18:48:03Z
dc.date.available2016-01-26T18:48:03Z
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/10945/47629
dc.description.abstractDesign of Experiments (DoE) is a powerful technique for process optimization that has been widely deployed in almost all types of manufacturing processes and is used extensively in product and process design and development. There have not been as many efforts to apply powerful quality improvement techniques such as DoE to improve non-manufacturing processes. Factor levels often involve changing the way people work and so have to be handled carefully. It is even more important to get everyone working as a team. This paper explores the benefits and challenges in the application of DoE in non-manufacturing contexts. The viewpoints regarding the benefits and challenges of DoE in the non-manufacturing arena are gathered from a number of leading academics and practitioners in the field. The paper also makes an attempt to demystify the fact that DoE is not just applicable to manufacturing industries; rather it is equally applicable to non-manufacturing processes within manufacturing companies. The last part of the paper illustrates some case examples showing the power of the technique in non-manufacturing environments.en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleDesign of experiments for non-manufacturing processes: benefits, challenges and some examplesen_US
dc.typeArticleen_US
dc.contributor.departmentOperations Researchen_US


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