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Keywords: Taguchi methods
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Journal Articles
Journal of Manufacturing Technology Management (2013) 24 (6): 929–951.
Published: 19 July 2013
... output. MPCI has been optimized finally using Taguchi method. Findings The study demonstrates application feasibility of the proposed approach with satisfactory result of confirmatory test. The proposed procedure is simple, and effective in developing a robust, versatile and flexible mass production...
Journal Articles
Journal of Manufacturing Technology Management (2010) 21 (5): 529–538.
Published: 08 June 2010
...‐consuming. The purpose of this paper is to propose a novel and objective methodology, based on the coupling of simulation and the Taguchi method. Design/methodology/approach Simulation models for both layouts are first developed. Simulations are then conducted following a standard Taguchi orthogonal...
Journal Articles
Prioritised multi‐response product screening using fractional factorial designs and order statistics
Journal of Manufacturing Technology Management (2009) 20 (4): 513–532.
Published: 01 May 2009
... for the weighted multi‐response optimisation case. Quality management Tests and testing Product management Taguchi methods During this step, an attempt is made to define the necessary experiments so as to standardise all selected settings from last step. A sampling scheme should possess desirable...
Journal Articles
Journal of Manufacturing Technology Management (2009) 20 (3): 367–384.
Published: 13 March 2009
.... The technology with the highest ranking (minimum loss score) will be selected for adoption. Advanced manufacturing technologies Benefits Taguchi methods To survive in a competitive environment and respond to customer demands manufacturing companies are forced to invest in new technologies. Thus...
Journal Articles
Journal of Manufacturing Technology Management (2008) 19 (8): 1015–1029.
Published: 24 October 2008
...George J. Besseris Purpose The purpose of this paper is to propose a simple methodology in solving multi‐response optimisation problems by employing Taguchi methods and a non‐parametric statistical technique. Design/methodology/approach There is a continuous interest in developing effective...
Journal Articles
Journal of Manufacturing Technology Management (2006) 17 (7): 908–925.
Published: 01 October 2006
...Jiju Antony; Raj Bardhan Anand; Maneesh Kumar; M.K. Tiwari Purpose To provide a good insight into solving a multi‐response optimization problem using neuro‐fuzzy model and Taguchi method of experimental design. Design/methodology/approach Over the last few years in many manufacturing...
Journal Articles
Journal of Manufacturing Technology Management (2006) 17 (4): 417–434.
Published: 01 June 2006
... analysis Taguchi methods Small to medium‐sized enterprises Manufacturing industries Six sigma can be considered both a business strategy and a science that has the aim of reducing manufacturing and service costs, and creating significant improvements in customer satisfaction and bottom‐line...
Journal Articles
Journal of Manufacturing Technology Management (2006) 17 (2): 255–274.
Published: 01 February 2006
... the optimal settings of the process parameters of the production process for products with multiple characteristics. Tong et al. (1997) propose a procedure on the basis of the quality loss of each response so as to achieve the optimization on multi‐response problems in the Taguchi method...
Journal Articles
Journal of Manufacturing Technology Management (2005) 16 (6): 576–597.
Published: 01 September 2005
...). Agile production Experimentation Quality improvement Delphi method Taguchi methods In recent years, significant efforts are being made in manufacturing arena to reduce the lead‐time of design and production (Ebrahimpur and Jacob, 2001). For example, currently it takes more than a year to float...
Journal Articles
Integrated Manufacturing Systems (1999) 10 (3): 162–170.
Published: 01 June 1999
... of Taguchi methods (TM) in an industrial setting for identifying the critical factors affecting a certain process and subsequently reducing process variability. Both the analysis of variance (ANOVA) on mean response and the signal‐to‐noise ratio (SNR) have been carried out for determining the optimal...
