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Assessing the outcome of lean transformation journey has been of interest to both researchers and practitioners. Various qualitative and quantitative assessment methodologies have been proposed in literature to track and measure the degree of leanness attained. The purpose of this paper is to understand the evolution of this leanness assessment literature over different attributes and identify gaps for future research.

A detailed literature review of peer-reviewed journal articles and conference papers addressing leanness assessment was performed. Content analysis methodology involving a four-step process suggested by Mayring (2004) was adopted for this study.

The number of studies in literature on leanness assessment is low when compared to that in the area of lean implementation. Assessment methodologies developed are of wide range, varying from simple qualitative checklist to complex quantitative mathematical models. Following the trend of lean implementation literature, lean thinking assessment literature is also getting transformed from process-level monitoring to enterprise-level monitoring. Finally, based on this review, a simplified leanness assessment framework is proposed for future validation.

Only peer-reviewed journals and conference papers were analyzed, while excluding the manuals, reports, and white papers from practice. Clustering of leanness assessment literature revealed that future studies in this domain would fall into two major categories, namely manufacturing leanness assessment and service leanness assessment.

Practitioners can use this review study to choose a suitable methodology for assessing the leanness attained in their organization by controlling for the structural attributes identified.

This is the first paper to review the topic “leanness assessment.” The review analyzes the entire literature available on leanness assessment to summarize its current status and identify potential future directions.

Fostered by a rapid spread beyond the manufacturing sector, Lean philosophy for continuous improvement has been widely used in service organizations, primarily in the healthcare sector. However, there is a limited research on the motivating factors, challenges and benefits of implementing Lean in healthcare. Taking this as a valuable opportunity, the purpose of this paper is to present the key motivating factors, limitations or challenges of Lean deployment, benefits of Lean in healthcare and key gaps in the literature as an agenda for future research.

The authors used the secondary data from the literature (peer-reviewed journal articles) published between 2000 and 2016 to understand the state of the art. The systematic review identified 101 articles across 88 journals recognized by the Association of Business Schools ranking guide 2015.

The systematic review helped the authors to identify the evolution, current trends, research gaps and an agenda for future research for Lean in healthcare. A bouquet of motivating factors, challenges/limitations and benefits of Lean in healthcare are presented.

The implications of this work include directions for managers and healthcare professionals in healthcare organizations to embark on a focused Lean journey aligned with the strategic objectives. This work could serve as a valuable resource to both practitioners and researchers for learning, investigating and rightly adapting the Lean in the healthcare sector.

This study is perhaps one of the comprehensive systematic literature reviews covering an important agenda of Lean in Healthcare. All the text, figures and tables featured here are original work carried by five authors in collaboration (from three countries, namely, India, the USA and the UK).

Not many researchers have attempted to numerically quantify a supply chain’s degree of leanness or agility. Although focusing predominantly on food, the purpose of this paper is to propose a simple and universal methodology to quantify the degrees of leanness and agility at any point within any supply chain.

Daily processing capacities of stochastic model runs and real supply chain data were projected onto a standardized Euclidean surface. Indexes that calculate, amongst others, the agility, leanness, baseline production and ceiling conditions were derived.

The indexes were often well correlated across the various supply chains. Leanness correlates negatively with agility, as can be expected, however, these attributes do not stand opposed to each other. Most supply chains seem to exhibit both lean and agile attributes simultaneously. Sugar, various types of tomatoes, avocado and onion supply chains are discussed and compared. Although a large amount of data were analysed, there exists an opportunity to widen this study significantly.

This paper presents a unique and simple approach to quantify the degree of supply chain leanness and agility. Although these terms are often used, only a few authors have made attempts to quantify these attributes and in most cases the approaches are relatively cumbersome. The relatively simple indexes create an opportunity for supply chain management to measure, evaluate and communicate their strategies along the supply chain and between different chains.

The construction industry worldwide is looking for overall efficiency in the entire project life cycle. Lean construction and Building Information Modeling (BIM) are together, key constituents in this quest. This study looks to reinforce the contribution of BIM to deliver applied lean principles to enhance productivity and performance.

The study adopts mixed methodologies of Ethnographic Action Research (EAR) and crisp set Qualitative Comparative Analysis (csQCA). The mosaic of case studies provides a descriptive and instrumental approach. While a descriptive approach investigates the interventions and phenomenon relating BIM to Lean, an instrumental approach constitutes exemplars of the interrelated phenomenon of BIM and Lean.

The themes of Elimination of Waste, Kaizen, Respecting the Human Elements, Poke-a-Yoke and Jidoka are contributed to the maximum by BIM. All the case studies discussed evidence of the contribution to Lean, as they enhance end-customer value.

The contribution of BIM towards Lean could encourage collaborations amongst stakeholders for mutual benefits. BIM could enhance decision making, predictive simulation, risk analysis, etc. with many other exciting possibilities of delivering productivity and performance. The study is limited by the insights offered by the individual cases.

The study provides insights into potential developments and research. It is expected to encourage reflective professional practice triggered by innovative thinking for the gainful utilization of BIM to deliver Lean.

Proposing an improved model for evaluating criticality of non-value added (waste) in operation is necessary for realizing sustainable manufacturing practices. The purpose of this paper is concerning on improvement of the decision support model for evaluating risk criticality lean waste occurrence by considering the weight of modified FMEA indices and the influence of waste-worsening factors causing the escalation of waste risk magnitude.

Integration of entropy and Taguchi loss function into decision support model of modified FMEA is presented to rectify the limitation of previous risk reprioritization models in modified FMEA studies. The weight of the probability components and loss components are quantified using entropy. A case study from industry is used to test the applicability of the integration model in practical situation.

The proposed model enables to overcome the limitations of using subjective determination on the weight of modified FMEA indices. The inclusion of the waste-worsening factors and Taguchi loss functions enables the FMEA team to articulate the severity level of waste consequences appropriately over the use of ordinal scale in ranking the risk of lean waste in modified FMEA references.

When appraising the risk of lean waste criticality, ignorance on weighting of FMEA indices may be inappropriate for an accurate risk-based decision-making. This paper provides insights to scholars and practitioners and others concerned with the lean operation to understand the significance of considering the impact of FMEA indices and waste-worsening factors in evaluating criticality of lean waste risks.

The method adopted is for quantifying the criticality of lean waste and inclusion of weighting of FMEA indices in modified FMEA provides insight and exemplar on tackling the risk of lean waste and determining the most critical waste affecting performability of company operations.

Integration of the entropy and Taguchi loss function for appraising the criticality of lean waste in modified FMEA is the first in the lean management discipline. These findings will be highly useful for professionals wishing to implement the lean waste reduction strategy.

The purpose of this paper is to understand the barriers and enablers to lean implementation as part of an imaging quality improvement programme from a socio-cultural perspective.

An in-depth 33 month ethnographic study, using observation and qualitative interviews, examined the process of lean implementation as part of an improvement programme.

Implementation of lean was more successful compared with other reports of lean in healthcare settings. Key enablers of lean were high levels of multidisciplinary staff involvement and engagement; the professional credibility of facilitators and clinicians as early adopters, all within a wider culture of relatively strong inter-professional relationships in the imaging department. These enablers combined with the more routinised and standardised nature of imaging pathways compared to some other acute specialties suggest that imaging is fertile ground for lean, linked to the manufacturing origins of lean.

When introducing lean within healthcare settings, special attention needs to be paid to the specific healthcare context and the existing cultures of inter-professional relationships. Fostering an improvement culture and engagement with training, together with adequate financial resource, are a key to contributing to the level of acceptability of an improvement tool such as lean.

This ethnographic study, bringing together rich multi-source data, has provided a detailed insight into the cultural workings of the process of lean implementation within a complex healthcare system.

Simulation has attracted increasing attention in lean production research as a response to address the complexities of the production environment and difficulties of dealing with changes within a system. Considerable growth of using simulation to facilitate lean acceptance and implementation has been observed across different projects and sectors. However, a thorough review of the development and use of simulation in lean production research is limited.

This study aims to address this gap by reviewing 311 journal papers published in the past two decades on this specific research area and identify the state-of-the-art development and propose future research directions.

The review shows that current studies related to simulation in lean production research can be categorised into two major research streams, namely, simulation assisted lean facilitation and evaluation, and simulation-based lean education and training. Under the first research stream, a total of 19 application areas have been identified which applied both lean and simulation in their studies. The evolution of the simulation techniques used in these studies has been analysed as well. Meanwhile, four types of simulation games have been identified in the stream of simulation-based lean education and training and the impact and applicability of the different simulation and games have been discussed. A framework for engaging lean and simulation is suggested based on the review of the existing studies. The analysis in both streams also highlights the importance of stakeholder engagement and the utilisation of information technologies for future studies.

The findings of this study are expected to provide useful references for the future development and application of simulation in lean production research.

This paper conducted a broad and extensive review of simulation integrated lean production research. An in-depth examination of the retrieved papers was conducted through a structured and quantitative analysis to understand the current body of knowledge.

Multiple organisations which have attempted to implement lean production/manufacturing/thinking have failed to achieve significant benefits. Practitioners and researchers have identified the barriers that hinder successful implementation. This study first consolidates such lean implementation barriers that are common across all industry sectors. Further, a systemic understanding of lean barriers is attempted by determining causal relationships between barriers and their relative causal strength.

Barriers to lean implementation were first identified from extant literature and categorised into broad barrier groups. These barrier groups were classified into four categories as specified by Liker's 4P model of lean–philosophy, people and partnership, processes and problem-solving. Additionally, interrelations between barriers, both within and among these four categories were determined.

The barriers classified under philosophy were the most critical as it affects the barriers in other groups. Similarly, barriers such as lack of leadership and top management commitment, lack of resources, shortage of lean consultants and trainers, lack of systemic understanding of lean and the need for its implementation, lack of lean expertise and training were found to be the most critical causal barriers.

Highly critical barriers in terms of causality should be addressed with high priority, as effective measures against them may eliminate or reduce the impact of other barriers.

This study addresses the confusion regarding the high number of lean barriers in extant literature by providing a systemic understanding of the same. By exploring the interrelations among barriers, the most important causal barriers and barrier types (4Ps) are identified, the knowledge of which could improve lean implementation success. This is a novel attempt in the domain of lean.

Small and medium-scale enterprises (SMEs) that operate with modest financial investments and commodities face numerous challenges to remain in business. One major philosophy used by SMEs these days is the implementation of lean manufacturing to get solutions for various issues they encounter. But is lean getting sustained over time? The purpose of this research is to design a Sustainable Lean Performance Index (SLPI) to assess the sustainability of lean systems and to pinpoint the variables that might be present as potential lean system inhibitors which hinder the sustainability of leanness.

A multi-level sustainable lean performance model is constructed and presented based on the literature research, field investigation and survey conducted by administering a questionnaire. Fuzzy logic approach is used to analyse the multi-level model.

SLPI for the SMEs is found using fuzzy logic approach. Additionally, the ranking score system is applied to categorise attributes into weak and strong categories. The performance of the current lean system is determined to be “fair” based on the Euclidean distance approach and the SLPI for SMEs.

This work is concentrated only in South India because of the country’s vast geographical area and rich and wide diversity in industrial culture of the nation. Hence, more work can be done incorporating the other parts of the country and can analyse the lean behaviour in a comparative manner.

The generalised sustainable lean model analysed using fuzzy logic identifies the inhibitors and level of performance of SMEs in South India. This can be implemented to find out the level of performance in the SMEs after a deeper study and analysis around the SMEs of the country.

The sustainable assessment of lean parameters in the SMEs of India is found to be very less in literature, and it lacks profundity. The model established in this study assesses the sustainability of the lean methodology adopted in SMEs by considering the lean and sustainability attributes along with enablers like technology, ethics, customer satisfaction and innovation with the aid of fuzzy logic.

This research aims to identify lean tools and techniques that are needed to be implemented to improve the performance in the fabrication industry. The objective is to find the wastes in manufacturing processes using value stream mapping (VSM) and prioritize the lean tools suitable to enable the attainment of leanness and streamline the processes.

VSM tool is applied in the industry to construct the current state map, identify improvement proposals and implement in future state. Fuzzy technique for order performance by similarity to ideal solution (TOPSIS), a multi-criteria decision-making technique (MCDM), is used to prioritize the identified improvement proposals. This study observed that mistake-proof processing and layout organization are the two techniques with the top priority that needs further improvement to enhance the leanness of the organization.

Upon successful implementation, the cycle time is reduced by 14.97%, and total inventory is reduced by 45.67% which leads to the improvement of value addition from 5.88 to 9.21%. Although lean has been adopted for many years, implementation of lean in the fabrication industry has been limited.

This study addresses the challenges in terms of implementing lean in fabrication industries and practical implications of lean tools and techniques and the prioritization of lean concepts against various lean criteria to enable leanness.

The deployment of improvement prioritization tool integrated with VSM in the context of a fabrication industry is the original contribution of the authors.