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The purpose of this paper is to develop a consistent and crystallized exposition of Six‐Sigma's methodology for improvement projects, which could serve as a basis for subsequent scientific research of the method.

The paper shows that reformulation of imprecise and unscientific formulations of knowledge is called rational reconstruction. Starting from accounts given in the Six‐Sigma literature, a descriptive reconstruction of the main elements of the Six‐Sigma method is made: its business context, strategy, tools and techniques, and concepts and classifications.

The paper finds that, although, on the face of it, it may seem that accounts given in literature diverge, analysis shows that variations are superficial rather than essential. The analyses result in precisely formulated accounts of Six‐Sigma's method (DMAIC phases, steps, and tools), its business context, and its terminology. Essential anomalies are discussed. Six‐Sigma's claims of being data‐driven and focused on customers and bottom line results appear to be substantiated by its method.

In this paper the presented reconstruction has a purely descriptive impetus: it structures accounts that the Six‐Sigma literature itself provides, without critical evaluation against theoretical frameworks beyond the Six‐Sigma literature. As such, it provides a basis that is suitable for subsequent scientific research.

The paper sees that loose and inaccurate expositions of Six‐Sigma's project methodology are supplemented with a precise formulation.

Among a tide of accounts of Six‐Sigma's DMAIC method, this paper provides an account that meets scientific standards of precision and consistency. It allows a substantiation of commonly made claims about Six‐Sigma, i.e. Six‐Sigma is a quantitative, data‐driven approach focused on cause‐and‐effect relations, and offering new solutions instead of standard cures.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

Nowadays, most of the organizations have focused through the world on Six Sigma to reduce the costs, improve the productivity and enhance concerned individuals’ satisfaction, especially customers’ satisfaction. Annually, these organizations define and execute thousands of Six Sigma projects which involve a great deal of investments. But are all of these projects successful and do the organizations benefit from the above advantages? The purpose of this study is to proposing a methodology to to answer this question that: How can we reduce the risk of failure in Six Sigma projects? The first step to reduce the risk of failure in Six Sigma projects is selecting optimal ones which have the most profits and the least expected risks.

First, the effective criteria are recognized and defined in selecting Six Sigma projects. Then, a new data envelopment analysis (DEA) model is proposed for project selection process. A real example is resolved by the presented model. Finally, the authors use linear discriminate analysis (LDA) to examine the validity of obtained results from the proposed model.

The results show that the proposed model is a suitable tool for selecting Six Sigma Projects. The findings demonstrate that the selected projects by suggested integrated DEA model are those confirmed by LDA.

The paper, using a real case study, provides a mathematical model to enhance decision quality in Six Sigma project selection. Applying the specific DEA model is remarkable itself, which joined to a pioneering procedure to use LDA to validity evaluation of the results.

The purpose of this study is to present a report on the development of an improved mathematical model for quantifying the cost of quality. In addition, a simulation model is developed using real-life industrial data; the model is used to investigate the impact of certain quality control level plans on cost of quality.

The cost of the quality model was developed based on the reported literature and suggestion from the company quality control manager. An extensive discussion was conducted with the quality control supervisors in the company to develop some quality control plans to investigate their impact on cost of quality. A simulation model that represents a specific section of the process at the company was used to carry out the investigation. The results were analysed and compared with some important findings reported in the literature that describe the characteristics of costs of quality.

The simulation work provides valuable insights into the behavior of the different components that constitute the total cost of quality. The results show that reduction of failure costs can be achieved at low or no-subsequent increase in the non-conformance expenditure. In addition, it seems that the traditional accounting system approach may no longer be adequate since it depends mainly on direct labour costs. The results indicate that the direct labour cost is only contributing by about 3 percent of the total cost of quality.

This paper focuses on the development of a comprehensive model for quantifying the cost of quality in a semiconductor company. Future research is needed to expand the model for more complex process configuration. In addition, the developed model could be extended to deal with variant defect rates.

This study presents an advanced theoretical model for cost quality that enhanced models of quality presented in the literature. Using the developed cost of the quality model, a comprehensive simulation was carried out to investigate the impact of some quality plans on cost of quality. The study clearly indicates important evidence to justify the implementation of cost of quality models in real-life industry.

A theoretical framework is proposed based on the events within a study group, “Management Development in Areas where the Concern is Recent”. Using a phenomenological perspective a theoretical framework from the process of development of the group is derived. The group found it difficult to agree a definition of “area of recent concern” as it applies to types of actual or potential client system where management development is a relatively new concept or practice. Cautionary restraint is provided to anyone about to embark on management development in new areas who has not considered that fundamentally new issues and problems may be encountered.

The purpose of this paper is to compare and discuss the evolution of six important management systems: Japanese Total Quality Control (JTQC), Total Quality Management (TQM), Deming's system of profound knowledge, Business Process Reengineering (BPR), Lean Thinking and Six Sigma. Indeed, the contribution of this paper lies in the concurrent analysis and classification, by the means of a literature review, of the results and critical implementation factors of the six systems. Deming's Plan‐Do‐Check‐Act (PDCA) has been used to classify the findings from the literature review.

The research methodology is based on a literature review. The literature review has been carried out for each single system, trying subsequently to compare and discuss the results.

Inside the six systems, nine common factors have been found and proposed. They are: results and benefits; management style; deployment of the system; employee management, deployment and participation; voice of the customer; tools, techniques and IT; optimisation of the system; day‐by‐day check and control of the results and review of the system.

This paper presents some limits due to the fact that it is based on a literature review. This implies that more research about the findings should be carried out: TQM in Western companies, Six Sigma that could have substituted TQM, Six Sigma and TQM in Japan, Deming's system developments and the influence of the Japanese style on Lean Six Sigma.

For the first time a paper tries to compare and discuss the six most important systems dedicated to quality and operations improvement.

This paper aims to develop an initial understanding of the Lean Six Sigma methodology since its inception and examine the few Lean Six Sigma dimensions as a research domain through a critical review of the literature.

The paper is structured in two-part. The first part of the paper attempts to dwell on the evolution of the Lean Philosophy and Six Sigma methodology individually and the emergence of Lean Six Sigma methodology, covered under the Lean Six Sigma: a historical outline section. The second part of the study examines the dimensions associated with Lean Six Sigma such as frameworks, critical success factors, critical failure factors, type of industry, performance metric, year, publisher and journal, based on a total of 223 articles published in 72 reputed journals from the year 2000 to 2019 as a literature review.

The adoption of Lean Six Sigma, as a continuous improvement methodology, has grown enormously in the manufacturing and few service sectors such as health care and higher education during the past decade. The study revealed that researchers came out with conceptual frameworks for the implementation of Lean Six Sigma, whereas the validation through case studies seems to be lacking. The integration of Lean Six Sigma and other approaches with a focus on sustainability and the environment has emerged as a research field. A few of the most common critical success and failure factors were identified from the articles studied during the study.

This paper may not have included some of the studies due to the inaccessibility and selection criteria followed for the study.

This paper will provide an initial introduction on Lean, Six Sigma and Lean Six Sigma and research insights Lean Six Sigma to beginners such as students, researchers and entry-level professionals.

India liberalized its economy in 1991, which resulted in intense global competition, quality-conscious and demanding customers. Additionally, significant technological advancements lead to enhancements in products and processes. These forced Indian organizations to adopt innovative business strategies in the past 30 years. Meanwhile, the Lean Six Sigma methodology has significantly grown with vast applicability during the past 30 years. Thus, the purpose of this study is to develop the learning on Lean Six Sigma methodology in the Indian context through investigation of literature.

A three-stage systematic literature review approach was adopted to investigate the literature during the present study. In total, 187 articles published in 62 journals/conference proceedings from 2005 to 2022 (18 years) were shortlisted. The first part of the article summarizes the significant milestones towards the quality journey in the Indian context, along with the evolution of the Lean Six Sigma methodology. The second part examines the shortlisted papers on Lean Six Sigma frameworks, their applicability in industrial sectors, performance metrics, outcomes realized, publication trends, authorship patterns and leading researchers from the Indian perspective.

Lean Six Sigma has emerged as a highly acclaimed and structured business improvement strategy worldwide. The Indian economy has seen remarkable growth in the past decade and is one of the fastest-growing economies in the 21st century. Lean Six Sigma implementation in India has significantly increased from 2014 onward. The study revealed that researchers have proposed several different frameworks for Lean Six Sigma implementation, the majority of which are conceptual. Furthermore, the balanced applicability of Lean Six Sigma in manufacturing and service sectors was observed with the highest implementation in the health-care sector. Additionally, the widely adopted tools, techniques along with performance metrics exploring case studies were reported along with a summary of eminent and leading researchers in the Indian context.

This study is confined to reviewed papers as per the research criteria with a significant focus on the Indian context and might have missed some papers due to the adopted papers selection strategy.

The present study is one of the initial attempts to investigate the literature published on Lean Six Sigma in the Indian context, including perspective on the Indian quality movement. Therefore, the present study will provide an understanding of Lean Six Sigma methodology in the Indian context to graduating students in engineering and management and entry-level executives. The analysis and findings on Lean Six Sigma frameworks, research approach, publications details, etc., will be helpful to potential research scholars and academia. Additionally, analysis of case studies on Lean Six Sigma implementation by Indian industries will assist the managers and professionals in decision making.

During the past few years, statistical process control and experiment design concepts have taken a prominent place within the industry. The use of such tools within the Motorola, GEG manufacturing environment, has grown to the point where reflow and wave solder process development and optimisation has significantly benefited. The ability to evaluate statistically and model various known and unknown phenomena has provided GEG's manufacturing technology with a series of very powerful tools to aid in process control and development. The primary purpose of this paper is to present the various approaches used by GEG to implement the previously mentioned statistical tools, with respect to the development of infra‐red (I‐R) reflow solder processes and enhancement of certain quality characteristics associated with wave soldered printed wiring boards (PWBs). Beyond specific GEG applications, the paper discusses the role of statistically designed experiments and process control methods as a vehicle for providing answers to complex manufacturing problems. In addition, a discussion of the mathematical and graphical methods underlying the interpretation of quantitative data is presented. Perhaps the most important benefit derived from the use of statistics to solve manufacturing and quality problems is related to decision making. When experiments are conducted to isolate unwanted sources of process and product variation, decisions must be made to determine whether or not certain experimental effects are important. Through the application of statistics, the researcher can ascertain the mathematical probability associated with the random chance occurrence of various experimental effects. With this knowledge, the researcher can make decisions with known degrees of risk and confidence. Without such knowledge, an organisation might possibly expend valuable resources and derive no direct benefit. Ultimately, the principal reason for applying statistical methods and procedures is to increase quality and yield, while simultaneously reducing costs.