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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.

Evidence indicates that the Indian economy has grown enormously in recent years. and Lean Six Sigma (LSS) has evolved globally as a structured business improvement strategy with diverse applicability in the last fifteen years. Therefore, this paper aims to investigate the status of LSS implementation in Indian industries using a survey research technique.

A survey questionnaire was devised from the literature, containing 25 questions to assess respondents’ awareness of the LSS methodology and gain insights on aspects associated with LSS adoption in Indian industries. The survey questionnaire was validated and was conducted using randomly sampled respondents from the Confederation of Indian Industries membership database. The collected data were statistically analyzed using IBM SPSS and MS Excel.

The findings attest that adopting LSS is not so encouraging and extremely poor in small- and medium-scale Indian industries. ISO 9001 emerged as a prominent quality improvement program. It is learnt that consultants play a pivotal role in bringing awareness and skills building while implementing LSS. Results endorse top management commitment and involvement, and resistance to change as leading success factors and challenges, respectively. Further, it is revealed that respondents were highly satisfied after the adoption of LSS.

The findings of this study were derived from 183 responses and should be generalized cautiously.

This paper provides valuable insights on the present status covering the issues related to L:SS implementation in India. These results can motivate the managers of Indian industries for wide adoption of the LSS methodology. In addition, the findings of the paper may assist the researchers providing direction to carry out further research in LSS in the Indian context.

This case describes the challenges faced by Amul in organising dairy farmers into a co-operative and creating continuous opportunities for value addition. Participants in the case discussion are required to review the developments in the organisation and recommend a strategy for the future.

Rolling out lean operations practices in MNCs’ plants is a complex knowledge transfer process whose design and implementation, though critical to operations performance, to date has not been investigated by operations management, international business, strategy, and organizational design research. Applying conceptual tools drawn from various theoretical approaches to knowledge management, transfer and diffusion, this exploratory study: (a) classifies and interprets lean roll-out processes in MNCs, framing them in terms of (i) knowledge replication strategies (template vs. principles-based), (ii) decentralization of decision making (degree of plant autonomy), and (iii) type of organizational ambidexterity (structural vs. contextual) underlying the process; (b) develops, through seven case studies of lean roll-outs in MNCs’ plants, three testable propositions about what might enhance the lean roll-out process performance, arguing about the individual and combined effect of the three above mentioned dimensions on lean roll-out effectiveness and efficiency. We posit that an approach characterized by principles-based knowledge replication, larger decentralization, and prevalence of contextual ambidexterity positively impacts on roll-out process performance.

Life is changing very fast, and its impact is observed in food pattern, consumer behavior and its ultimate market. In these broad outlines, 300 customers were studied in Anand districts of Gujarat. The restaurants and parlors that were studied were franchise models of Gujarat state only. Here in this study, six franchise food retailers were purposively selected. Data were analyzed through cluster analysis techniques. At the end, it was found high quality, better service, convenient location, presentation of food in parlor and restaurants, and zero time delivery are playing key roles for getting customers for the food.

This chapter examines the emergence of India as a site for surrogacy, which has led intended parents from all over the world to contract with Indian gestational surrogates to carry “their” babies for them. Through participant observation in a surrogacy workshop, interviews with American intended parents, and interviews with Indian surrogates, I show how ideologies of normative, nuclear families built around genetically similar children, drives American consumers' desires to seek fertility intervention, and, finally, surrogacy. In India, gender ideologies shape the contours of an inexpensive, compliant labor force of surrogate mothers.

The purpose of this paper is to develop a framework for the safety performance measurement of belt conveyor systems.

A structural methodology of graph theory and matrix approach is used for developing a framework for safety performance measurement of belt conveyor systems.

The development of a framework for safety performance measurement of belt conveyor systems is essential for ensuring plant safety. For this, safety performance factors, including design and operating contextual factors of belt conveyor systems, are identified. The factors along with their interrelations are modeled using digraph. An equivalent matrix of the digraph provided safety performance function (SPF) of belt conveyor systems, leading to the development of a safety performance index (SPI).

The developed framework will enable the designers for evaluating and comparing alternative designs of conveyor systems from the safety viewpoint. The plant operators can make inferences from the SPI to identify the weak contextual factors in the plant and develop action plans for its mitigation.

The paper is novel and employs graph theory and matrix approach for safety performance measurement. The methodology helps in the quantitative evaluation of the safety performance of belt conveyor systems.

The purpose of this paper is to design and develop half-mode substrate-integrated waveguide (HMSIW)- and quarter-mode substrate-integrated waveguide (QMSIW)-based antennas for wireless communication application. The developed antennas offer advantages in terms of compactness, high gain and better isolation between the ports.

Initially, the tri-band substrate-integrated waveguide-based antenna is designed using a slot on the ground plane. Then, the same structure has been bisected into two parts for the development of the HMSIW structure. Again the concept of the slot is used for the realization of a dual-band antenna. QMSIW-based structure is designed with further dividing HMSIW structure into two parts. Simulation has been carried out with the use of a high-frequency structure simulator (HFSS) software, which used a finite element-based solver for the full-wave analysis.

The proposed HMSIW-based dual-band antenna resonates at two different frequencies, namely, 5.81 GHz with 4.5 dBi gain and at 6.19 GHz with 6.8 dBi gain. Isolation between two ports is 20 dB. The overall dimensions of the proposed model are 0.39 λ × 0.39 λ. Similarly, QMSIW-based antenna is resonated at 5.66 GHz of the frequency with the 3 dBi gain. Frequency tuning is also carried out with the change in the slot dimension to use the proposed antenna in various C (4–8 GHz) band applications.

The proposed antennas can use C band wireless frequency application. The proposed structure provides better performance in terms of isolation between the ports, small size, high front-to-back ratio and higher gain. It is fabricated for the proof of concept with the RT Duroid 5880 substrate material having a 2.2 permittivity. Measured results show a similar kind of performance as a simulated one.

In clinical analysis, medical image segmentation is an important step to study the anatomical structure. This helps to diagnose and classify abnormality in the image. The wide variations in the image modality and limitations in the acquisition process of instruments make this segmentation challenging. This paper aims to propose a semi-automatic model to tackle these challenges and to segment medical images.

The authors propose Legendre polynomial-based active contour to segment region of interest (ROI) from the noisy, low-resolution and inhomogeneous medical images using the soft computing and multi-resolution framework. In the first phase, initial segmentation (i.e. prior clustering) is obtained from low-resolution medical images using fuzzy C-mean (FCM) clustering and noise is suppressed using wavelet energy-based multi-resolution approach. In the second phase, resultant segmentation is obtained using the Legendre polynomial-based level set approach.

The proposed model is tested on different medical images such as x-ray images for brain tumor identification, magnetic resonance imaging (MRI), spine images, blood cells and blood vessels. The rigorous analysis of the model is carried out by calculating the improvement against noise, required processing time and accuracy of the segmentation. The comparative analysis concludes that the proposed model withstands the noise and succeeds to segment any type of medical modality achieving an average accuracy of 99.57%.

The proposed design is an improvement to the Legendre level set (L2S) model. The integration of FCM and wavelet transform in L2S makes model insensitive to noise and intensity inhomogeneity and hence it succeeds to segment ROI from a wide variety of medical images even for the images where L2S failed to segment them.

The purpose of this study is to examine the mediating role of manufacturing flexibility in the relationship between knowledge creation, technological turbulence and performance. In an increasingly competitive and changing environment, firms need to boost their technological and management know-how to adequately develop manufacturing flexibility.

This study analyzes survey data collected from 370 manufacturing firms. Validity and reliability analyses were conducted using SPSS and Amos. The research hypotheses were tested using covariance-based structural equation modelling.

The main findings show that knowledge creation positively and significantly affects business and operational performances directly, and indirectly, through manufacturing flexibility. Moreover, technological turbulence has a positive and significant effect on it. This finding contributes to understanding why some firms get better outcomes from manufacturing flexibility than others, a disputed issue in the literature.

This study highlights the need for manufacturing firms to foster cultures of knowledge creation, to better educate and train employees and to develop other instruments of knowledge creation.

This study makes several contributions to manufacturing flexibility literature: (1) establishing a link between technological turbulence and knowledge creation to develop manufacturing flexibility; (2) add empirical evidence on the relation between manufacturing flexibility and performance and (3) contributes to consolidating the mediation role of manufacturing flexibility in the relations between knowledge creation and business performance, as studies focussing on such a role are scarce in the literature.