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One of the major challenges for developing countries is the lack of mechanisms for the evaluation of critical success factors (CSFs) of quality initiatives, which hampers the journey toward sustainability. Lean Six Sigma (LSS) has been one of the most widely used initiatives supporting quality improvement with wastes reduction and facilitating sustainability. To expedite LSS and its spread, it is important to evaluate key CSFs. Accordingly, the purpose of this paper is to provide an approach for the evaluation of LSS-CSFs for Indian small and medium enterprises (SMEs).

The paper uses a graph theoretic approach and demonstrates the evaluation of LSS-CSFs by proposing an index. The development of index is illustrated using a set of seven prioritized CSFs based on the literature review paper (Lande et al., 2016).

This study guides about the translation of CSFs in the form of an index (number) and will benefit both researchers and practitioners, who wish to study the role of key CSFs for implementation and audit requirements for sustainability.

Authors remain confined only to Indian SMEs.

LSS possesses the potential to enhance the performance of manufacturing SMEs, but its evaluation is not easy. This attempt for offering a useful evaluation scheme involving CSFs, in the areas of LSS in developing country contexts, is the first. The approach also facilitates both quality audits and benchmarking between different sets of CSFs. The approach is generalizable and can be extended in other areas.

This paper aims to guide about prioritisation and ranking of the solutions and overcoming barriers to facilitate the adoption of Lean Six Sigma (LSS) by using a hybrid framework.

It identifies LSS barriers and solutions to facilitate LSS adoption through literature review and by involving subject experts. The study makes use of fuzzy set theory and proposes a fuzzy analytical hierarchy process (AHP)-modified TOPSIS (technique for order preference by similarity to ideal solution) framework. It uses sensitivity analysis to establish framework robustness.

The key findings of this techno-managerial study are identification and prioritisation of 27 LSS barriers and 22 solutions to overcome adoption challenges, proposition and usage of fuzzy AHP-modified TOPSIS framework, guidance regarding where to focus for facilitating LSS adoption and ensuring robustness using sensitivity analysis, which establishes insignificant deviation in rankings when criteria weights are altered.

Some biasness and subjectivity may exist during pairwise comparisons as human judgements are involved.

Handling a hybrid solution like LSS is never easy. It is expected that the study will help industry professionals to plan their LSS adoption attempts effectively. Guidance regarding LSS barriers will assist in observing necessary precautions to avoid failures. It will open up new research fronts for researchers also.

Literature is full of studies regarding LSS barriers and its rankings. It is very rare to witness a study like ours, which discusses the barriers and links with solutions and its prioritisation. Proposed hybrid framework for a hybrid techno-managerial approach such as LSS is unique and acts as the roadmap for smooth implementation.

The purpose of this paper is to demonstrate the application of vendor rationalization strategy for streamlining the supplies and manufacturing cycle time reduction in an Indian engineer-to-order (ETO) company. ETO firms are known for a large number of vendors, co-ordination hassles, rework problems and its impact on cycle time and operational excellence.

The research demonstrates the case-based application of Kraljic’s matrix for supply and leverages items, on-the-job observations, field visits, discussions and analysis of supplies reports.

The study guides on the rationalization of supplies and the necessary strategic alignments that can significantly reduce supply risk, costs, manufacturing and delivery cycle time along with co-ordination hassles. The study depicts the challenges of ETO environment with respect to supplies, and demonstrates the effectiveness of vendor rationalization application for the case company and weaknesses of commonly practiced vendor management approaches.

To be competitive, companies should rationalize supply items and vendors based on the nature of items and their subsequent usage by applying Kraljic’s matrix-based classification. The immediate implication of vendor rationalization is misunderstood as reducing supply base, but it does much more and includes review of supplies, nature of items and strategic alignments, leading to win-win situation for company and suppliers.

For the rationalization of supplies, while procuring and dealing with vendors, executives should envisage engineering nature of components, considering cross-functional requirements and integration of components in context to ETO products/projects environments. There is a dearth of studies focusing on vendor rationalization aspects in ETO setups in fast-developing country context.

The literature of lean six sigma (LSS) is flooded with frameworks. But to date, there has been no attempt to expose the inconsistencies in the existing frameworks and associated research trends. The purpose of this paper is to critically review 26 LSS frameworks and highlight inconsistencies. The study also helps in analysing research trends and constructs of LSS frameworks, and facilitates new applications.

It uses Scopus database and finalises 26 frameworks in the LSS domain considering a timeframe from 2000 to 2017, using a structured literature review approach and involving domain experts. It uses a battery of systematic requirements-based questions to understand trends and covers building blocks/constructs also.

It reveals inconsistencies at three different stages, namely, the framework stage, usage stage capturing existing research trends and construct stage. It also offers details at building block/construct level. Thus, it offers guidance in reducing inconsistencies and possible modifications in the existing frameworks. It not only exposes existing constructs and sub-constructs but also guides about the new upcoming changes in the business influencing the LSS domain. It also educates about the strengths and weaknesses of each framework.

This study tries to reduce inconsistencies, but does not offer new generalised or sector-specific framework.

This study will assist for modification/corrections in the existing frameworks by reducing inconsistencies and will encourage new frameworks to facilitate applications.

This is a unique study which offers frameworks-based review, portrays research trends and guides about constructs of a framework by exposing inconsistencies at each stage. It helps in reducing inconsistencies and offers guidance regarding modifications in the LSS framework considering upcoming challenges.

The purpose of this paper is to aim for the development and analysis of green manufacturing (GM)-based framework on the identified critical success factors (CSFs) and performance measures (PMs) in the context of the Indian cement industry.

The research follows survey method for data collection. For framework development, it uses factor analysis on the identified CSFs and regression along with the appropriate measures for checking statistical consistency and validity.

This is the first research towards GM framework for the Indian cement industry. Till date, no framework is available which could guide researchers and practitioners of this environment unfriendly industry. Study exposes lack of connectivity between CSFs and PMs for a GM framework and highlights weaknesses of cement industry in this regard. It offers a generalised GM framework linking PMs with top management, human resource management, organisational culture, green practices, process management and supply chain management.

The framework is expected to help both researchers and practitioners from cement, construction and other industries who are serious towards GM implementation and are looking for appropriate mechanism. This framework if implemented properly will result in enhanced productivity.

This work is one of the few and pioneering efforts to investigate GM linking CSFs and PMs in Indian manufacturing sectors and the first in cement industry. Not many studies are available in the context of cement industry, which is the lifeblood of infrastructure and construction sectors. The importance of the work increases as it is conducted in the Indian context, which is undeniably an important economy of the world.

The purpose of this paper is to demonstrate the use of Petri nets in a job shop setup for the improvement in the utilization of machines.

The study discusses concepts such as reachable state, token and matrix equations set, and demonstrates the improvements in machines’ utilization in a job shop. It makes use of algorithms to generate reachable markings to obtain utilization. The study not only describes the application of theory, but also extends the body of knowledge on Petri nets and job shops.

In this study, machines’ utilization has been studied in a job shop with six machines and eight products. The study finds that substantial utilization improvement in job shop set up can be obtained through the application of Petri nets. The study also exposes that Petri nets are mostly used for machines, jobs and tools scheduling problems, but its use in machines’ utilization is neglected. The framework and application presented here along with generalizable findings, is the first to report about machine utilization improvement in job shop manufacturing environment.

Job shops are characterized by high unit production cost, low investments, low volume and high variety, complex flows, flexible and skilled work force, general purpose machines, high material handling; resulting in poor utilization of machines. Therefore, the findings of this study can help in reducing such costs through better machine utilization. This can help in increasing the competitiveness of the companies.

The contribution of study lies in investigating and improving stage wise utilization in a job shop setup. It has never been reported before.

The purpose of this paper is to identify and list critical success factors (CSFs) of Lean Six Sigma (LSS) framework affecting and influencing quality, operational and financial performance of small and medium enterprises (SMEs). It also intends to guide researchers and practitioners in selecting appropriate set of CSFs for empirical studies, developing frameworks and to ensure effective implementation experience of LSS.

It systematically reviews literature on CSFs and Indian experience regarding LSS. It uses exploratory approach for data collection and documents various studies depicting both manufacturing and service experiences by using time tested statistical tools to prioritize CSFs, which critically influence LSS implementation.

The study guides and facilitates researchers and practitioners in using the most appropriate set of CSFs for empirical studies and in developing/modifying/reviewing application frameworks. It also guides implementation experience regarding LSS, which can be beneficiary for both developing and developed country contexts. Industries can accelerate implementation by understanding and using most important CSFs, which influence LSS framework.

The study mainly remains confined to the CSFs for LSS implementation in SMEs from Indian subcontinent.

The value lies in documenting, and prioritizing CSFs influencing LSS in a meaningful manner so that researchers/companies take advantage of Indian experience in prioritizing CSFs for framework. The study drastically reduces implementation hassles and simplifies execution for empirical studies. The findings are not restricted to India but are generalizable and can globally utilized in deciding determinants of LSS framework.

The purpose of this paper is to identify and address various wastes in the supply chain of the edible cottonseed oil industry (specifically the processing side) using a value stream mapping (VSM) approach to improve productivity and capacity utilization in an Indian context.

Critical observations and interviewing techniques were used with open‐ended questions to understand the processes involved in the value chain of the cottonseed oil industry. Different chain links/members were investigated through personal visits and discussions. VSM is applied as an approach to the industry to identify and remove non‐value‐adding (NVA) activities.

Major findings obtained from the study are as follows. There is an excess cumulative inventory of 244 days in the whole supply chain. The industry is highly fragmented with a large number of small players present, which hampers the use of economies of scale. There are NVA activities present in the supply chain such as the moving of cottonseed oil from expeller mill to refinery. The industry still uses outdated technology which hampers the productivity.

Attention needs to be given to boosting the productivity of the oil sector. Waste removal from the oilseed‐processing sector is one key to improving the productivity of the sector.

The paper addresses the various wastes in the processing side of the supply chain of the Indian cottonseed oil industry, using VSM as an approach which was hardly ever attempted before. Wastes are then individually attacked to reduce or eliminate them from the system. Suggestions to make the whole chain more productive can be generalized and can be replicated in the context of other developing countries.

To study the strategic implications of TQM and TPM in an Indian manufacturing set‐up and to detail literature reviews to highlight gap areas. To examine the relationship between factors influencing the implementation of TQM and TPM and business performance for the following three approaches in an Indian context: TQM alone; TPM alone; both TQM and TPM together. This is done to extract significant factors for the above three approaches.

Empirical survey‐based research on a sample size of 108 manufacturing companies. Uses bivariate correlation and multiple regression analysis techniques to extract significant factors using SPSS.

The research identifies two sets of factors which are critical for the effectiveness of TQM and TPM: universally significant factors for all the three approaches like leadership, process management and strategic planning; and approach‐specific factors like equipment management and focus on customer satisfaction. The study also highlights the complexities involved in implementing TQM and TPM together.

The emphasis on extracted factors will help companies in realizing greater benefits through TQM and TPM. This study is equally important in a global context also, as companies across the globe are striving to achieve synergy of TQM and TPM.

The preparedness/status of Indian manufacturing industry for TQM and TPM implementation, as India is becoming a major sourcing base for the world and there is a paucity of such studies. The study of TQM and TPM in all the three modes simultaneously has not been investigated in the context of developing countries. Such studies are equally important in a global context.