Multi-Criteria Decision Making Approach for Choosing Business Process for the Improvement: Upgrading of the Six Sigma Methodology

Dynamic and global environment, does not offer a spot for managers that improvise and make business moves without relevant information. In order to gain relevant information, it is necessary to observe processes through which value is generated. This implies adoption of process orientation and, based on it, business process management, as a way of running a business. Useful concept for operationalization of business process management is the Six Sigma. One of very important managerial decisions under the Six Sigma concept implementation concerns choosing the process for the improvement. Very often managers must take into the account subjective data, based on their opinion and experience, as personal impression. However, subjective data may become objective when adequate tools and methods for the analysis are used. Quantification is necessary for making decisions and, also, for tracking the results of their implementation. Beside statistical, significant information may provide methods from multi-criteria decision making. Multi-Criteria Decision Making Approach for Choosing Business Process for the Improvement: Upgrading of the Six Sigma Methodology

[1]  Zhenqiu Sun,et al.  Comparative Analysis of a Novel M-TOPSIS Method and TOPSIS , 2010 .

[2]  Jiju Antony,et al.  Critical success factors for the successful implementation of six sigma projects in organisations , 2002 .

[3]  Dan Paulson,et al.  Consequences of uncertainty in the analytic hierarchy process: A simulation approach , 1995 .

[4]  T. Saaty Axiomatic foundation of the analytic hierarchy process , 1986 .

[5]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[6]  Peter Trkman,et al.  International Journal of Information Management , 2022 .

[7]  Jiju Antony,et al.  Design for six sigma: a breakthrough business improvement strategy for achieving competitive advantage , 2002 .

[8]  Paul A. Keller Six Sigma Demystified , 2004 .

[9]  Bopaya Bidanda,et al.  A multi-objective model for project portfolio selection to implement lean and Six Sigma concepts , 2008 .

[10]  Jiju Antony,et al.  Going from six sigma to design for six sigma: an exploratory study using analytic hierarchy process , 2003 .

[11]  Jayant Rajgopal,et al.  Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study , 2007 .

[12]  Young Jin Ahn,et al.  The future of Six Sigma , 2014 .

[13]  C. Hwang,et al.  TOPSIS for MODM , 1994 .

[14]  Larry R. Smith,et al.  Six Sigma and the Evolution of Quality in Product Development , 2001 .

[15]  Cheng-Ru Wu,et al.  Using expert technology to select unstable slicing machine to control wafer slicing quality via fuzzy AHP , 2008, Expert Syst. Appl..

[16]  Rambabu Kodali,et al.  A multi-criteria decision-making model for the justification of lean manufacturing systems , 2008 .

[17]  Joseph De Feo,et al.  Creating strategic change more efficiently with a new Design for Six Sigma process , 2002 .

[18]  Cengiz Kahraman,et al.  An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Six Sigma Project , 2010, Int. J. Comput. Intell. Syst..

[19]  Haritha Saranga,et al.  Six sigma project selection using data envelopment analysis , 2007 .

[20]  Mathias Weske,et al.  Business Process Management: A Survey , 2003, Business Process Management.

[21]  Bo K. Wong,et al.  Software selection: a case study of the application of the analytical hierarchical process to the selection of a multimedia authoring system , 1999, Inf. Manag..

[22]  Mohammad Izadikhah,et al.  An algorithmic method to extend TOPSIS for decision-making problems with interval data , 2006, Appl. Math. Comput..

[23]  C. Tennant,et al.  Selection of six sigma projects in the UK , 2006 .

[24]  Mohit Maheshwarkar,et al.  Combined AHP-TOPSIS Based Approach for the Evaluation of Knowledge Sharing Capabilities of Supply Chain Partners , 2013, ICMSE 2013.

[25]  Wenbing Chang,et al.  Technical decomposition approach of critical to quality characteristics for Product Design for Six Sigma , 2010, Qual. Reliab. Eng. Int..

[26]  João Paulo Davim,et al.  A decision-making framework model for material selection using a combined multiple attribute decision-making method , 2008 .

[27]  T. Saaty Highlights and critical points in the theory and application of the Analytic Hierarchy Process , 1994 .

[28]  J. Antony Six Sigma in the UK service organisations: results from a pilot survey , 2004 .