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This study aims to build on previous research into lean practices and the associated barriers reported in various contexts to empirically address the question of what possible barriers exist to hinder the implementation of lean practices in the construction industry in China. Despite the potential that lean practices have to improve quality and productivity while reducing costs, successful stories of lean deployment are not frequently heard of.

A large-scale survey of Chinese building professionals is used to identify these barriers.

The results suggest that the most crucial barriers to implementation of lean practices, as perceived by Chinese building professionals, include “their lack of a long-term philosophy”, “the absence of a lean culture in their organizations”, “the use of multi-layer subcontracting” and others. This study also reports the findings using a factor analysis that shows the six underlying factors hindering the implementation of lean practices in the Chinese construction industry, namely, people and partner issues, managerial and organizational issues, lack of support issues, culture and philosophy issues, government issues and procurement issues.

This study offers a thorough overview of the barriers to implementing lean practices in various contexts, with a focus on construction. This study also contributes to the knowledge by recommending the measures that can be taken to appropriately overcome the barriers identified.

To develop a structural model based on Interpretive Structural Modelling (ISM) approach to analyse the barriers to integration of Lean with Industry 4.0.

Integrated lean and I4.0 is essential for optimising customer value, rapid product design and redesign to comply with customer demand on time. Also, manufacturing processes to be made more flexible, intelligent and agile. In this context, integrated lean and Industry 4.0 barriers were identified and an ISM approach is employed to identify hierarchical structure of barriers and analysed.

The result obtained reflects that barriers “increasing competitive pressure”, “lack of long-term vision”, “lack of management support”, “lack of capital fund” are found to be the important barriers that affect the integration of lean and I4.0.

In the present study, 16 barriers are analysed. In future, additional barriers could be included.

The driving and dependence power of barriers were analysed from ISM model and it provided guidance for practitioners to concentrate on barriers for integrating lean and I4.0.

The idea of developing structural model for analysis of barriers to integration of lean with I4.0 is the original contribution.

Firms have been implementing lean manufacturing to improve their business performances. However, they have difficulties in the implementation due to the many barriers. In view of the lack of research and the importance in understanding them, the purpose of this paper is identify and evaluate the lean barriers with respect to their levels of importance in implementation.

As lean barriers are scattered in the literature and a variety of performance measures are used in practice, an extensive literature review is first carried out to identify the lean barriers and performance measures. A novel ranking technique – interpretive ranking process (IRP) – is adopted in the evaluation. In the IRP-based evaluation approach, a group discussion technique, where five Indian lean experts are involved, is applied to determine the most important lean barriers and performance measures. Several matrices are developed step by step for calculating the ranks of the selected lean barriers. Upon validating the ranks, an IRP-based lean barrier evaluation model is developed.

The IRP-based lean barrier evaluation model can help firms better understand lean barriers and their levels of importance in lean implementation. In the light of this model, to successfully implement lean, firms should provide sufficient management time and training to employees, develop a right culture, develop effective communication, carry out low-cost production, and obtain external funding.

The evaluation results provide the practitioners with a realistic framework to deal with many problems, especially those related to resource allocation, in lean implementation. Based on the framework, practitioners can prioritize lean barriers during implementation in accordance with performances targeted.

This is the first study that provides a comprehensive review of lean barriers available in the literature and evaluates them in accordance with performance measures. The combined use of literature review and experts in the evaluation approach justifies the value of the study.

The apparel industry of Bangladesh is rethinking lean manufacturing (LM) deployment because of the challenges imposed by the COVID-19 pandemic. Due to COVID-19, LM implementation in the apparel industry has become more difficult. Thus, the purpose of this study is to explore the barriers to implementing LM practices in the apparel industry of Bangladesh in the context of COVID-19 pandemic.

For evaluating the barriers, an integrated framework that combines the Delphi method and fuzzy total interpretive structural modeling (TISM) has been designed. The application of fuzzy TISM has resulted in a structured hierarchical relationship model of the barriers with driving and driven power.

The findings reveal that “lack of synchronization of lean planning with strategic planning”, “lack of proper understanding of lean concept” and “low priority from the top management” are the three top most important barriers of LM implementation in apparel industry.

These findings will help the apparel industry to formulate strategy for implementing the LM practices successfully. The proposed model is expected to contribute to the sustainable development goals (SDGs) such as Responsible Consumption and Production (SDG 12); Decent Work and Economic Growth (SDG 8); Industry, Innovation and Infrastructure (SDG 9) via resilient strategies.

This study is one of few initial efforts to investigate LM implementation barriers during the COVID-19 epidemic in a real-world setting.

This study aims to set out to identify and evaluate potential obstacles to successfully implementing lean construction (LC) as a result.

Several indicators were recognized as major obstacles following an exhaustive assessment of the literature and a multicriteria decision analysis based on the analytic hierarchy process (AHP) of information obtained from a questionnaire survey that was directed to practitioners in the Indian construction industry.

The results of this AHP model suggest that “Managerial” and “Inadequate resources” categories with a priority weight of “0.361” and “0.309” have the highest levels of influence, respectively, while “Inadequate knowledge” and “just in time (JIT)” categories with a priority weight of “0.053” and “0.034” have the lowest levels of influence, respectively.

Construction companies can use the study’s findings as a guide to determine whether they are ready to embrace LC, learn more about the components needed for implementation or investigate any challenges that may arise. These businesses can then create plans to promote the adoption and application of the lean philosophy.

The Indian construction industry may see great success with LC management initiatives. LC concepts have been adopted by many nations, but during the past 20 years, there has only appeared to be a limited amount of lean implementation in the Indian construction industry. It seems that several structural and cultural barriers are preventing its effective implementation. Organizations will not be able to determine what improvement efforts are required, where these efforts should be directed or which initiatives could provide the best outcomes if they are unaware of the elements that influence the effective implementation of LC.

As the COVID-19 epidemic ravages the world in the fourth industrial revolution era, the manufacturing sector faces its worst situation in a century. Lean philosophy, renowned as a “warrior philosophy,” can be an able rescuer to these industries. This study aims to identify the hurdles to lean strategy implementation and conduct an analysis to provide cognizance to policymakers, practitioners and decision-makers.

This study aims to identify the obstacles that obstruct lean implementation into seven primary barriers/components, with the fuzzy DEMATEL approach being used to evaluate the critical factors as well as the cause and effect factors among them. Expert opinions are sought to obtain the relevant data for evaluation purposes.

The results reveal that a firm should focus on firm cultural conflict scenario, resources–responses incapability, improve on suppliers’ attitude and execute a proper planning and logistics equation to alleviate the hindrances of implementing lean. As these causal factors influence the effect factors, namely, top management vision, management–employee relationship and human resource building, focusing on them automatically improves the effect factors; thus, the surge to overcome resistance to lean implementation is alleviated.

This research aids in identifying and analyzing lean implementation issues in the manufacturing and industrial sectors. The observations, results and insights drawn can act as a guiding force to rupture the resistance envelope covering the domain of lean implementation and possibly reinstating industries to survive and excel in the business post-COVID era.

This research introduces barriers to lean implementation in a unique way, as it articulates all sections of an industry and group the barriers based on the classification. It further prioritizes the barriers for their importance in the Indian industrial scenario. This would help the industry professionals and managers access the barriers and generate insight on how and where to start implementing lean.

Green Lean concepts offer methods for managing manufacturing organizations with the goal of improving organizational performance. Green Lean practices are good options to increase the environmental and operational performance of manufacturing industries. However, there are some barriers to implement Green Lean in manufacturing industries. This paper aims to identify these barriers by reviewing the literature and analyze inter-relationships amongst selected barriers.

This paper deals with the identification of barriers to the adoption of Green Lean practices in manufacturing industries. Using the DEMATEL approach and using the insights of experts, a cause and effect relationship diagram was generated through which the effect of barriers was analyzed.

Twelve barriers were categorized in terms of cause and effect, and the interrelationships of barriers were also analyzed. Threshold value is calculated as 0.134 and the values lower than a were eliminated to obtain the digraph. “Resistance to change,” “lack of top management commitment” and “lack of training to employees” are the most prominent barriers on the basis of their prominent score.

Analysis in the research is highly dependent on expert judgments and opinions may be biased. However, the initial matrix obtained from the experts is hindered by the ambiguity about some relationships. But this can be improved by using fuzzy and grey set theories. The barriers used for the analysis are not from a specific type of manufacturing industry.

The findings will help the manufacturing organizations to simplify the most important barriers, the least significant barriers and the relationships between these barriers. This Berlin knowledge will enable administrators to increase awareness of the barriers in Green Lean implementation. “The top management commitment” and “government support” are most important for the removal of barriers to Green Lean strategies.

Very few scholars have used the DEMATEL approach to examine the sequence of the barriers to Green Lean implementation. The present study attempts to incorporate the DEMATEL model to assess the sequence of barriers to the implementation of Green Lean. This study investigates the degree of influence of barriers on each other and categorizes the barriers into cause and effect groups. This study is also intended to pave the way for future research in the path of the elimination of barriers to Green Lean strategies.

Lean manufacturing is one of the leading paradigms for fast and proficient manufacturing but its proper implementation is a foremost task due to certain barriers affecting lean and can be handled when utilized with RFID technology. With this aspect in view, the purpose of this paper is to enlighten and present a thorough literature study that can show how RFID-based lean manufacturing is helpful for handling barriers affecting lean manufacturing in light of previous literature available.

In order to achieve this purpose a systematic literature review is conducted to justify the impacts of RFID technology for handling barriers. The aim of this systematic literature review is to initially find the barriers affecting lean implementation and then to explain the properties of RFID-based lean manufacturing which are highly feasible to handle detected barriers.

An interrelation is generated in this study which provides a clear indication that the properties of RFID carry significant effects to handle detected barriers in the operational, managerial and financial regime of manufacturing companies. The detected barriers that affect lean implementation are company’s cultures, top management commitment, poor employee administration, lack of finances, unbalanced inventory control, unstable customer handling and longer lead times. The properties of RFID-based lean manufacturing like operational visibility, inventory control, production control, minimized lead times and the real-time data information (to facilitate top management and employees on shop floor) are extremely helpful to control these barriers.

The originality of this study is the provision of clarity provided to both academicians and practitioners by citing and utilizing previous research studies which undoubtedly indicates positive impacts of RFID on lean implementation.

The implementation of lean production in small manufacturing enterprises (SMEs) harbors a great deal of barriers on practical, theoretical, financial and organizational sides. In view of this, the purpose of this paper is to explore and prioritize the solutions to overcome these barriers and pitfalls in order to identify a list of the most feasible and efficient solutions on which SMEs must focus to success their lean journey.

First, a review of the published articles along with the interview of some lean experts have allowed to identify 20 barriers grouped into five categories along with 17 solutions proposed to overcome these barriers. Afterwards, an integrated fuzzy Analytic Hierarchy Process-Technique for Order Preference by Similarity to Ideal Solution (AHP-TOPSIS) was proposed to evaluate and rank the solutions of lean implementation in SMEs and overcome its barriers. The AHP is used to determine weights of the barriers as criteria, and the fuzzy TOPSIS method is used to determine the final ranking of the solutions of lean adoption in SMEs.

The top five barriers of lean implementation in SMEs were found to be: lack of management involvement, lack of adapted methodology of lean implementation, short-term vision, fear and resistance to change and lack of understanding of lean. Moreover, the top five solutions to overcome the barriers of lean adoption in SMEs are as follows: commitment and participation of management, adoption of simple measurement and KPIs, development of organizational learning culture, early deployment of lean culture through training and allocation of sufficient time and resources for change.

The findings of this study can provide a basis for researchers and practitioners in order to understand the real reasons of lean failure in SMEs and develop improvement plans to increase its success rate. Moreover, it proposes a more reliable, robust and systematic decision support tool for stepwise implementation of the solutions of lean adoption in SMEs since they lack sufficient resources to address all the solutions simultaneously.

Global competition has intensified pressure on small- and medium-sized enterprises (SMEs) to implement lean. Recently, the debate has converged to the role of lean implementation barriers (LIBs). The purpose of this paper is to contribute to this debate by exploring the LIBs in SMEs through three case studies.

A case study approach was employed followed by interpretive structural modelling (ISM) to model the interrelationship among the LIBs.

This study reveals that lack of management commitment, leadership and resources are the key barriers to lean implementation in SMEs in India. Furthermore, poor communication between different levels of the organisation and inadequate dissemination of the knowledge of lean benefits also creates hindrance in lean implementation. Managerial implications of the identified barriers for lean implementation in SMEs have been discussed.

The research regarding lean implementation in SMEs is scarce. This study is the first attempt of its kind to identify the lean barriers in a small industry setup through mathematical analysis.