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This study aims to explore how placement of lean practices (removal of waste from all areas of an organization’s value stream) (Worley and Doolen, 2006) within different organizational strategic contexts can affect the factors that lead to lean implementation success.

The authors use empirical data to examine how strategy affects various factors that are identified as prerequisites for successful lean implementation. Specifically, this study uses Venkatraman’s (1998) measures to examine various types of strategy within organizations, how they correlate with both the workers’ mindset (perceived job security and perceived personal benefits of lean) and the processes in implementation (training on lean concepts and techniques).

Findings indicate that a relationship exists between strategy and factors needed for lean implementation success. Perceived job security had a positive relationship with all four types of strategies examined (proactiveness, defensiveness, analysis and futurity) (Venkatraman, 1998). Moreover, perceived personal benefits of lean had a positive relationship with futurity but negative relationships with proactiveness and defensiveness strategies. Finally, training on lean concepts and techniques was positively related to analysis and futurity strategies but negatively related to proactiveness strategy.

The authors’ research illustrates the positive impact of aligning lean with strategy. This topic may be of particular interest to executives, especially middle managers, looking to improve firm performance.

The purpose of this paper is to study, examine and apply lean management principles to the curriculum revision and internship placement process in an academic program at an institution of higher education.

This paper consists of two sections. The first section reviews the literature on lean principles, lean tools, nonvalue-added activities and the application of lean methodology to academic settings. The second section presents a case study, where a team of faculty members applied lean principles to the process of curriculum revision and internship placement at an academic institution.

Lean principles can be successfully applied to curricular revision and the internship placement process. By applying the concepts of value, identification of value stream, removal of wasteful activities to achieve flow and creation of a pull-based system, faculty and program leaders can streamline processes at academic institutions. Furthermore, ongoing data collection helps to foster the culture of continuous improvement and ensure that processes are revisited and adapted to meet the needs of customers.

This paper is of value to faculty members and college administrators interested in applying lean principles to academic processes. Usage of lean methodology may lead to the identification and elimination of waste in curriculum and the field placement process.

This manuscript can provide a structure for the application of lean in academic processes at institutions of higher education.

The architecture, engineering and construction (AEC) industry encounter substantial risks and challenges in its evolution towards sustainable development. International businesses, multinational AEC organisations, technical professionals, project and portfolio management organisations face global connectivity challenges between business units, especially during the outbreak of novel coronavirus pandemic, to manage construction megaprojects (CMPs). That raises the need to manage global connectivity as a main strategic goal of global organisations. This paper aims to investigate barriers to integrating lean construction (LC) practices and integrated project delivery (IPD) on CMPs towards the global integrated delivery (GID) transformative initiatives and develop future of work (FOW) global initiatives in contemporary multinational AEC organisations.

A two-stage quantitative and qualitative research approach is adopted. The qualitative research methodology consists of a literature review to appraise barriers to integrating LeanIPD&GID on CMPs. Barriers are arranged into six-factor clusters (FCs), with a conceptualisation of LeanIPD&GID, GID strategy placements and FOW global initiatives with multiple validations. This analysis also involved semi-structured interviews and focus group techniques. Stage two consisted of an empirical questionnaire survey that shaped the foundation of analysis and findings of 230 respondents from 23 countries with extensive cosmopolitan experience in the construction of megaprojects. The survey examined a set of 28 barriers to integrating LeanIPD&GID on CMPs resulting from a detailed analysis of extant literature after validation. Descriptive and inferential statistical tests were exploited for data analysis, percentage scoring analysis, principal component analysis (PCA) and eigenvalues were used to elaborate on clustered factors.

The research conceptualised LeanIPD&GID principles and proposed GID strategy placements for LeanIPD&GID transformative initiatives and FOW global initiatives. It concluded that the most significant barriers to integration of LeanIPD&GID on CMPs are “lack of mandatory building information modelling (BIM) and LC industry standards and regulations by governments”, “lack of involvement and support of governments”, “high costs of BIM software licenses”, “resistance of industry to change from traditional working practices” and “high initial investment in staff training costs of BIM”. PCA revealed the most significant FCs are “education and knowledge-related barriers”, “project objectives-related barriers” and “attitude-related barriers”. Awareness of BIM in the Middle East and North Africa (MENA) region is higher than LC and LC awareness is higher than IPD knowledge. Whilst BIM adoption in the MENA region is higher than LC; the second is still taking its first steps, whilst IPD has little implementation. LeanBIM is slightly integrated, whilst LeanIPD integration is almost not present.

The research findings, conclusion and recommendation and proposed GID strategy placements for LeanIPD&GID transformative initiatives to integrating LeanIPD&GID on CMPs. This will allow project key stakeholders to place emphasis on tackling LeanIPD&GID barriers identified in this research and commence GID strategies. The study has provided effective practical strategies for enhancing the integration of LeanIPD&GID transformative initiatives on CMPs.

The paper aims to identify, prioritize and rank lean practices in the context of an Indian automotive component manufacturing organization using interpretive ranking process (IRP) and interpretive structural modeling (ISM) approaches.

Lean practices are identified from the literature. Then, two hierarchical models were are developed using two distinct modeling approaches – ISM and IRP with expert opinions from an Indian automotive component manufacturing organization to analyze the contextual relationships among the various lean practices and to prioritize and rank them with respect to performance dimensions.

In the study, the hierarchical structural models are developed using ISM and IRP approaches for an Indian automotive component manufacturing organization. In ISM-based modeling, lean practices can be categorized into five levels. Top priority should be given to the motivators followed by value chain, system/technology and organization centric practices. IRP model shows the dominance relationship among the various lean practices with respect to performance dimensions.

The models are constructed from the organizational standpoint to evaluate their impact to the implementation of lean manufacturing. The study leverages the organizations to prioritize limited resources as per the hierarchy. Managers get the inter-linkages and ranking of various lean practices, which leads to a better perspective for the effective implementation of lean. The structural models also assist management to assign proper roles to employees/departments for effective lean implementation.

There is hardly any structural model of lean practices in the literature for clustering, prioritizing and ranking of lean practices. The study fills this gap and develops the hierarchical models of lean practices through IRP and ISM approaches for an Indian automotive component manufacturing organization. The results from both approaches are compared for illustrating the benefits of one over the other.

Many studies have found that Lean practices provide better performance in a stable business environment. However, there is limited information on how Lean practices influence performance gains (defined in this paper as improvement and sustenance of performance) in an uncertain (complex and dynamic) environment. This study aims to investigate how the implementation of Lean helps to sustain performance in such context.

The study draws on an in-depth investigation of two capital goods manufacturing engineer-to-order (ETO) cases, in which performance sustenance is discussed in relation to the extent, locus and extensiveness of implemented Lean practice bundles.

Findings indicate that a higher extent of Lean practices’ implementation, covering both shop floor and transactional processes, increases the possibility of performance sustenance in ETO. Furthermore, a coherent approach in the pre-, during- and post-implementation phases of the Lean change process is required to foster performance sustenance. Lean practices in ETO are modified to suit context change from repetitive manufacturing.

This study proposes performance sustenance as a performance measure in a highly uncertain context, such as ETO, as a single reference cannot effectively measure performance improvements over diverse orders. From this perspective, appropriate Lean implementation contributes towards building capabilities for flexibly and proactively managing uncertain circumstances.

Even companies operating in highly uncertain (complex and dynamic) contexts may benefit from significant performance gains, thanks to the Lean implementation. This can be achieved by a balanced implementation of practices at shop floor and transactional processes, and their mindful customisations.

The study compares Lean implementation in ETO with that of high-volume–low-variety systems established in the literature. It qualitatively discusses how Lean implementation as an overarching effort both in shop floor and transactional processes leads to better sustenance of achieved performance improvements in shop floor under high uncertainty.

Built environment encounters substantial risks and challenges in its evolution towards sustainable development. International businesses and multinational engineering organisations face global connectivity challenges between business units, especially during the outbreak of the novel coronavirus pandemic (COVID-19), which has profoundly disrupted the construction industry throughout the world. That raises the need to manage global connectivity as a main strategic goal of multinational architecture, engineering and construction (AEC) organisations. This study aims to develop a strategic framework managing challenges of integrating lean construction (LC) and integrated project delivery (IPD) on construction megaprojects (CMPs) towards global integrated delivery (GID) transformative initiatives in multinational AEC organisations.

“Mixed research methods” involving a two-stage quantitative and qualitative research approach is adopted. The qualitative research methodology consists of a literature review to assess challenges to integrate LeanIPD&GID on CMPs. There is an assessment of conceptualisation of LeanIPD&GID and GID strategy placements, development of LeanIPD&GID integration framework and future of work (FOW) global initiatives with multiple validations. The analysis involved semi-structured interviews and focus group techniques. Stage 2 consisted of an empirical questionnaire survey that shaped the foundation of analysis and findings of 190 respondents from 23 countries with an extensive cosmopolitan experience of megaprojects in construction. The survey examined a set of 20 challenges to integrate LeanIPD&GID on CMPs resulting from a detailed analysis of extant literature after validation. Descriptive and inferential statistical tests were exploited for data analysis and percentage score analysis.

The research conceptualised LeanIPD&GID principles, proposed GID strategy placements, a framework for managing challenges of LeanIPD&GID transformative initiatives, FOW global initiatives and key performance indicators (KPIs). It concluded that the most significant challenges to integrate of LeanIPD&GID on CMPs are “lack of governmental incentives, policies, regulations or legal frameworks”, “lack of client’s awareness and IPD experience amongst key stakeholders”, “lack of organisation’s senior-management and client’s commitment to IPD approaches”, “resistance of industry to change from traditional procurement to IPD” and “lack of integrated synergies between LC, IPD working towards LeanIPD&GID”. Awareness of building information modelling (BIM) in the Middle East and North Africa (MENA) region is higher than LC, and LC awareness is higher than IPD knowledge. While BIM adoption in the MENA region is higher than LC, LC is still taking its first steps, and IPD has little implementation. LeanBIM is slightly integrated, while LeanIPD integration is almost not present.

The research findings, conclusions and recommendations provide a proposed framework for implementation, KPIs and GID strategy placements for LeanIPD&GID transformative initiatives to integrate LeanIPD&GID on CMPs and FOW global initiatives. This will allow project key stakeholders to place emphasis on managing LeanIPD&GID challenges identified in this research and commence GID strategies. The study has provided effective practical strategies for enhancing integration of LeanIPD&GID transformative initiatives on CMPs.

In electronics assembly, the losses of electronic components throughout the surface‐mounting process (including kitting and setup) are hard to trace. This affects accurate material planning and manufacturing costing. This paper aims to investigate this issue and to generate a suitable mixture of strategies for the relevant causes.

The project is executed by an undergraduate manufacturing engineering student and several company engineers over a period of ten weeks. Define, measure, analyze, improve, and control (DMAIC) approach delineates the project stages. The solutions devised must be in agreement with lean philosophies and practices currently upheld in the company.

Component losses stem from multiple sources and are complicated by inherent information inaccuracies. A right mixture of strategies is envisaged on analysis on these sources. An average 18 percent of decrement in component losses in monetary value is achieved in the initial 16 weeks of the improvement phase.

The DMAIC approach induces a focused, systematic and thorough study on the selected area. For the limitations, this study is based on a single industrial case. The evidence may be anecdotal and idiosyncratic to the electronics assembly industry. The final solutions which emerged need to factor in the organization current maturities in Lean and Six Sigma concepts.

Component loss is a common problem faced by electronics assembly industries. In this paper, the nature of the problem and the related investigation are extensively illustrated in the context of the case study. As many electronics assembly industries have embarked on Lean or Lean Six Sigma journeys, the savings and data accuracy improvement achieved in this case study provide valuable benchmarks.

The issues related to electronic component losses have not been reported in established literature to date. This is also the first reported success case study of applying DMAIC to address these issues in a lean company.

Set-based design (SBD) is a lean tool widely adopted for improving design processes and providing value maximization to clients. The purpose of this paper is to present the development and testing of a lean simulation game that incorporated point-based and SBD principles. The objective of the game was to enhance learning of lean design management among construction students.

After a thorough and comprehensive literature review consisting of secondary data in journal papers, books, thesis references and primary data in the form of interviews with lean practitioners, the simulation game prototype was developed. The testing of the game was carried out with a study group. Data were collected during the gameplay with the help of a questionnaire survey on a confidence scale and Likert scale and assessed using the Wilcoxon signed-rank test, histogram, one-sample t-test and false discovery rate (Benjamini–Hochberg) correction method.

The data collected both pre- and post-simulation showed an increase in average confidence in understanding from 3.33 to 3.89, a 16.7% rise. The data was further interpreted by using Wilcoxon signed-rank test, indicating that the post-simulation learning experience was significantly better than the pre-simulation one. Promising positive results were obtained for the questions on game design, engagement and understanding of point-based design and SBD concepts.

The simulation game helps bridge the gap between knowledge building and real-life by effectively imitating the process. The game facilitates a dynamic and critical approach toward developing new educational simulation games and their successful incorporation in propagating lean principles in the construction industry.

The purpose of this paper is to evaluate the causal relationship between Lean practices and team performance. Specifically, the authors tried to demonstrate which practices act as enablers of continuous improvement and waste elimination and what is their impact on team performance.

A survey was carried out in a Higher Education Institution (HEI) in Southern Brazil. The authors obtained a sample of 785 respondents. The data analysis procedures involved confirmatory factor analysis and structural equations modeling.

The results of the research provided support for the positive influence of continuous improvement on waste elimination and of these two practices on team performance. In addition, empirical support was obtained for the effect of leadership support, employee involvement and internal process customers on continuous improvement.

Data collection was carried out online, so we were not able to maintain full control of the research respondents. This research generates relevant insights for decision-makers in the HEI environment, especially concerning Lean practices and team performance. The effects analyzed are even more relevant given the pandemic context.

This study shows how some higher education Lean practices can positively affect continuous improvement and better team performance. The results raise important insights for decision-makers to offer better higher education public services, especially given the context and changes imposed by the pandemic situation.

This paper initiates the discussion about enablers of continuous improvement and waste elimination in HEI and demonstrates their impact on team performance.

The application of lean and quality improvement methods is very common in process improvement projects at organisational levels. The purpose of this research is to assess the adoption of Lean Six Sigma™ approaches for addressing a complex process-related issue in the coal industry.

The sticky coal problem was investigated from the perspective of process-related issues. Issues were addressed using a blended Lean value stream of supply chain interfaces and waste minimisation through the Six Sigma™ DMAIC problem-solving approach, taking into consideration cross-organisational processes.

It was found that the tendency to “solve the problem” at the receiving location without communication to the upstream was, and is still, a common practice that led to the main problem of downstream issues. The application of DMAIC Six Sigma™ helped to address the broader problem. The overall operations were improved significantly, showing the reduction of sticky coal/wagon hang-up in the downstream coal handling terminal.

The Lean Six Sigma approaches were adopted using DMAIC across cross-organisational supply chain processes. However, blending Lean and Six Sigma methods needs to be empirically tested across other sectors.

The proposed methodology, using a framework of Lean Six Sigma approaches, could be used to guide practitioners in addressing similar complex and recurring issues in the manufacturing sector.

This research introduces a novel approach to process analysis, selection and contextualised improvement using a combination of Lean Six Sigma™ tools, techniques and methodologies sustained within a supply chain with certified ISO 9001 quality management systems.