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This article aims to explore synergies between Lean, Green and Six Sigma practices in order to propose an integrated LGSS framework for continuous and incremental improvement in the Indian manufacturing industries. The three-dimensional LGSS framework seeks to provide various combinations and support operational, financial, environmental and social needs.

In the research method, first, the current problems faced by Indian manufacturing industries are considered and proposition of a conceptual framework that qualitatively integrates synergistic aspects of Lean, Green and Six Sigma practices, and second, the framework is checked by a survey taken from 203 Indian firms by using SPSS-AMOS.

The hypothesized result suggests that the positive impact of integrated practices on firm performance in terms of operational, financial, social and environmental outcomes. It also provides a systemic and holistic approach to problem-solving through constant and incremental enhancement in the manufacturing sector.

In this research, only Indian manufacturing industries have been studied but can be extending into different geographical areas and sectors. Future research is also possible for different behavior and characteristics of companies that can lead to recommending strategies on how companies can improve performance. Most importantly, future research can try to understand which specific practice can contribute to competitive advantage and business success.

Manufacturing firms that want to improve environmental sustainability should implement integrated LGSS practices into their supply chain. The set of combined practices improves operational, social, economical and environmental benefits.

The research presents an integrated approach of LSS for the manufacturing industry which leads their business processes to achieve economic sustainability through continuous growth and improved operational efficiency. Manufacturing industries result in outcomes like reduced cost, lead time, improved quality, sustainable market position, profitability, customer satisfaction, etc.

This research is different from previous studies because it integrates Lean, Green and Six Sigma practices into a unique framework that fulfills a specific need of the Indian manufacturing sector that guides operational, social, environmental and financial issues in Indian industries.

Green manufacturing (GM) has received growing attention in the last few years. As today’s business environment is highly competitive, dynamic and volatile in nature, GM is seen as the winning strategy to be adopted by manufacturers. In this scenario, successful implementation of GM by manufacturers can give them an edge over their competitors. The purpose of this paper is to identify and develop the structural relationship among different factors for the successful implementation of GM.

A questionnaire-based survey and interpretive structural modeling (ISM) approach has been applied in this study. In this research, 12 factors have been identified, such as top management commitment, supplier and materials management, green product and process design, employee training and empowerment, etc. On the basis of survey results and opinions of experts from industry and academia, a structural relationship model has been developed through an ISM approach.

Top management commitment has the highest driving power for the implementation of GM. Effective implementation of GM will improve organization performance in terms of product cost and quality. For effective implementation of GM, management should not ignore development of people, product and processes.

The developed model will be useful to managers, decision makers and practitioners of GM in prioritizing their resources more effectively.

Critical success factor play a pivotal role for the assessment and implementation of GM practices. Identification of key success factors and their mutual relationship can help in implementation of GM practices in various organizations. It is probably one of the leading attempts to provide road map to the implementation of GM practices in Indian manufacturing industries.

The purpose of this paper is to present a systematic literature review and its analysis concerning a possible framework, compatibility, drivers and barriers for integrating three manufacturing strategies – Lean, Green and Six Sigma. In particular, analyzing current proposals and identifying the literature gaps in the existing literature from which future research directions and challenges have been suggested for developing a specific integrated framework for the Indian manufacturing industry.

This study explores manufacturing strategic area in depth through literature review, which will point out to the better understanding of the compatibility and impact of these initiatives through the conceptual framework, on the performance of the manufacturing organization.

The review of shortlisted articles indicates that Lean, Green and Six Sigma (LGSS) strategies help the manufacturing organizations to compete in global markets through the impact of a sustainability strategy for their business. Various researchers provide evidence of challenges like cost reduction, quality improvement, on-time delivery, changing needs of the customers and scarce resources that can be overcome through these strategies to achieve overall business objectives.

In this research, only works of literature related to LGSS and sustainability have been studied so information related to linking between these strategies in manufacturing industries is limited.

Help the manufacturing practitioners to deploy three strategies simultaneously in an environment when the linking among LGSS methods in manufacturing industries has not been established. Hence simultaneous deployment of these three strategies helps the organization to boost its operational and environmental performance.

The strategies, LGSS, will be adopted in the operational management to reduce both waste and pollution which will definitely help to society. It will highlight the need for cost effective and easy to implement solutions as well as brand building, which is one of the top incentives for LGSS, highlighting the importance of public perception of how companies operate.

An integrated framework of the LGSS will help the Indian manufacturing industries to improve performance and competitiveness in the global market.

The purpose of the paper is to explore the performance measures for the green manufacturing practices in the Indian manufacturing industries.

A tentative list of items/variables was developed for green manufacturing performance measures based on a thorough and detailed analysis of the pertinent literature. The survey questionnaire contained 128 items/variables, developed based on the literature and interviews with nine manufacturing industry experts, specifically green manufacturing areas. A total of 400 questionnaires were mailed out, and 114 were returned, of which 108 were valid, representing a response rate of 27 percent. Using the data collected, the identified items/variables were performed via factor analysis to establish reliability and validity.

A total of 12 performance measures of green manufacturing with their 66 items/variables have been developed: top management commitment, knowledge management, employee training, green product and process design, employee empowerment, environmental health and safety, suppliers and materials management, production planning and control, quality, cost, customer environment performance requirement, customer responsiveness and company growth.

This study obtained 108 valid responses from the Indian manufacturing industries; the limitation of the study is the insufficient sampling. Future research needs to be performed using a larger sample and studying more countries.

The performance measures developed in this study enables decision makers to assess the perception of green manufacturing in their organization and in prioritizing GM efforts.

This study is probably the first to provide an integrative perspective of performance measures for green manufacturing practices in the Indian manufacturing industries. It gives valuable information, which hopefully will help this business sector to accomplish green manufacturing practices. This paper fills the gap in the literature on identification, establishment and validation of performance measures of green manufacturing for Indian manufacturing industries.

The purpose of this study is to identify a comprehensive list of main enablers of successful implementation of green manufacturing (GM) practices in small and medium-sized enterprises (SMEs). Based on the inputs from Irish SMEs' experts, a validated conceptual hierarchy model of the identified enablers is developed to analyse and prioritise the most dominant ones.

Data were collected using a questionnaire survey responded by various professionals in Irish manufacturing SMEs. Experts' opinions were analysed using interpretive structural modelling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) to distinguish the mutual influences amongst the nine identified enablers.

The findings revealed that from the Irish SMEs' perspective, strong green supply chain relations are the outcome of successfully implementing GM and not a driver of the other enablers. Furthermore, lower manufacturing costs are found to arise as a result of GM practices in SMEs.

It is discussed that emulating the actions of larger companies will not necessarily yield the same results for SMEs. Innovation will become a cornerstone of remaining competitive in a sustainable environment, which is facilitated by closer green supply chain relations.

The reported findings in this article contribute to theory and practice of GM and SMEs research domains by systematically identified, classified and ranked enablers in a conceptual hierarchal model from the perspective of Irish SMEs. This research lays the foundations for further analysis of the GM practices enablers in a time when UN mandates and EU regulations are increasingly impacting SMEs all around Europe and especially Ireland.

The purpose of the study is to developed the effect of Nusselt number on impeller diameter in agitated vessel, which is beneficial to find out the heat transfer coefficient in the process industry. A comparison has been done between the experimental and calculated Nusselt numbers with standard deviation found to be 8.03 per cent.

For studying the effect of impeller diameter on Nusselt Number, the heat transfer measurements were made with three different impellers of diameter. Although the diameter of impeller, D_a shows its effect in Reynolds number, an attempt has been made to find the relationship between the impeller diameter and Nusselt number. A correlation between (N_Nuj/N^″_Pra^1/3 N^″_Rea^2/3) vs D_a/D_T and (N_Nuoc/N^″_Pra^1/3 N^″_Rea^2/3) vs D_a/D_c in which data of three fluids [1, 2 and 4 per cent carboxy methyl cellulose solution of A type (CMC-A) solutions] have been plotted.

The heat transfer data for agitated Newtonian and non-Newtonian fluids have been successfully correlated by using the viscosity of the fluid evaluated at the impeller tip assuming a cylinder of diameter equal to that of impeller rotating in an infinite fluid. Data of 1, 2 and 4 per cent CMC-A, for three impeller diameters, have been correlated by equations. Using the above concepts of Reynolds and Prandtl numbers, Nusselt Numbers and D_a/D_T, it is also possible to correlate the available published data for other non-Newtonian fluids obtained with different impeller geometries.

A set up was made for studying the effect of impeller diameter, the heat transfer measurements were made with three impellers of diameter 7.5, 12.7 and 18.35 cm respectively. Although the diameter of impeller, Da shows its effect is Reynolds number, an attempt has been made to find the effect of D_a/D_T ratio on Nusselt number.