An innovative approach for planning and execution of pre-experimental runs for Design of Experiments

This paper addresses the study of the pre-experimental planning phase of the Design of Experiments (DoE) in order to improve the final product quality. The pre-experimental planning phase includes a clear identification of the problem statement, selection of control factors and their respective leve...

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Bibliographic Details
Main Authors: Muhammad Arsalan Farooq, Henriqueta Nóvoa, António Araújo, Sergio M.O. Tavares
Format: Article
Language:Spanish
Published: Elsevier 2016-09-01
Series:European Research on Management and Business Economics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1135252315000064
Description
Summary:This paper addresses the study of the pre-experimental planning phase of the Design of Experiments (DoE) in order to improve the final product quality. The pre-experimental planning phase includes a clear identification of the problem statement, selection of control factors and their respective levels and ranges. To improve production quality based on the DoE a new approach for the pre-experimental planning phase, called Non-Conformity Matrix (NCM), is presented. This article also addresses the key steps of the pre-experimental runs considering a consumer goods manufacturing process. Results of the application for an industrial case show that this methodology can support a clear definition of the problem and also a correct identification of the factor ranges in particular situations. The proposed new approach allows modeling the entire manufacturing system holistically and correctly defining the factor ranges and respective levels for a more effective application of DoE. This new approach can be a useful resource for both research and industrial practitioners who are dedicated to large DoE projects with unknown factor interactions, when the operational levels and ranges are not completely defined.
ISSN:2444-8834