Title: QFD-TOPSIS-based model for managing Six Sigma DMAIC process in manufacturing

Authors: Maher Lazreg

Addresses: Higher Institute of Applied Sciences and Technology of Sousse, ISSATS, Sousse University, Tunisia; Strategic Planning Department, Qassim University, KSA

Abstract: Six Sigma has shown its benefits, particularly in continuous process improvement aimed at reducing variation in existing processes. It typically follows a five-phase approach, which is sequenced as define, measure, analyse, improve, and control (DMAIC). The lack of a model able to handle heterogeneous data and information could lead to the failure to deliver the desired results. Quality function deployment (QFD) can play the role of a platform in planning and managing the process. Knowing that each DMAIC phase is linked logically to the previous as well as the next phase, the new proposed model includes a set of QFD matrices and tables, which ensure the fluent communication between the different phases. Given that the size of the QFD matrix increases with the complexity of the focused process, the decision-maker needs to prioritise the technical characteristics at each level when he considers it necessary. This decision-making process is facilitated by the technique for order preference by similarity to ideal solution (TOPSIS).

Keywords: six sigma; quality function deployment; QFD; technique for order preference by similarity to ideal solution; TOPSIS; multi-attribute decision making; MADM; DMAIC; manufacturing industry; continuous improvement; process improvement.

DOI: 10.1504/IJMTM.2011.045518

International Journal of Manufacturing Technology and Management, 2011 Vol.23 No.3/4, pp.234 - 248

Received: 30 Jul 2011
Accepted: 21 Dec 2011
Published online: 27 Nov 2014 *

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