Research Papers related to Lean Six Sigma and Operational Excellence

ILSSI is committed to education and research. This section is devoted to communicating research papers related to Lean Six Sigma and Operational Excellence.

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Jiju Antony : Professor of Quality Management, Heriot Watt University

Our ILSSI leader for research and education services is :

Professor Jiju Antony (BE, MSc, PhD, FIOM,FRSS,FCQI,FISSP)

Professor of Quality Management and LSS Master Black Belt


Jiju Antony Lean Six Sigma iLSSi

Professor Jiju Antony,  Heriot Watt University, Edinburgh, UK

Leadership characteristics for Lean Six Sigma

Alessandro Laureani & Jiju Antony

In this paper, we explore the relation between Leadership and Lean Six Sigmadeployment in organisations: as leadership has been identified as a critical success factor for Lean Six Sigma deployment in organisations, this paper sets out to determine the characteristics of leadership that are more conducive to a successful implementation.

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Critical failure factors of Lean Six Sigma

Saja Albliwi
Jiju Antony
Sarina Abdul Halim Lim
Ton van der Wiele

There are 34 common failure factors of LSS cited in this paper. There are some common factors for failure, such as a lack of top management commitment and involvement, lack of communication, lack of training and education, limited resources and others. Many gaps and limitations are discussed in this paper and need to be explored in future research.

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Enhancing Robust Design with the Aid of TRIZ and Axiomatic Design

Matthew Hu
Ford Motor Company

Kai Yang
Wayne State University

Shin Taguchi
American Supplier Institute

Shin Taguchi Quality ILSSI DFSS
Shin Taguchi
Kai Yang DFSS Design ILSSI Quality
Kai Yang


This paper describes how to use the framework of Axiomatic Design to identify a proper system output response and bridge the gap between the conceptual design and the parameter design to facilitate the upfront robustness thinking.  It could be, for instance, be a design review process to investigate how a design concept may be optimized to desensitize the side effects of noise factors. It is shown that using bottom-up approach based on axiomatic design bridges the gap between conceptual design and parameter design. By applying these methods the engineer gains deeper insight of design concept structure and the physical effects of the corresponding design parameters.

Keywords: Axiomatic Design; Robust Design; Basic Function; Ideal Function; S-Field Analysis; Mode of Action.

Design Parameter Diagram DFSS ILSSI Quallity Taguchi

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