Lean production, Toyota Production System and Kaizen philosophy

Leveraging Kaizen with Process Mining in Healthcare Settings: A Conceptual Framework for Data-Driven Continuous Improvement

Background/Objectives: Healthcare systems face persistent challenges in improving efficiency, optimizing resources, and delivering high-quality care. Traditional continuous improvement methodologies often rely on subjective assessments, while data-driven approaches typically lack human-centered adaptability. This study aims to develop an integrated framework combining Kaizen principles with Process Mining capabilities to address these limitations in healthcare process optimization. Methods: This research employed a structured literature review approach to identify key concepts, methodologies, and applications of both Kaizen and Process Mining in healthcare settings. The study synthesized insights from the peer-reviewed literature published in the last two decades to develop a conceptual framework integrating these approaches for healthcare process improvement. Results: The proposed framework combines Kaizen's employee-driven approach to eliminating inefficiencies with Process Mining's ability to analyze workflow data and identify process deviations. The integration is structured into four key phases: data collection, process analysis, Kaizen events, and continuous monitoring. This structure creates a feedback loop where data-driven insights inform collaborative problem-solving, resulting in sustained improvements validated through objective process analysis. Conclusions: The integration of Kaizen and Process Mining offers a promising approach to enhancing workflow efficiency, reducing operational errors, and improving resource utilization in healthcare settings. While challenges such as data quality concerns, resource constraints, and potential resistance to change must be addressed, the framework provides a foundation for more effective process optimization. Future research should focus on empirical validation, AI-enhanced analytics, and assessing adaptability across diverse healthcare contexts.

Analysis of critical success factors for successful integration of lean six sigma and Industry 4.0 for organizational excellence

Purpose

Manufacturing industries are facing dynamic challenges in today’s highly competitive world. In the recent past, integrating Industry 4.0 with the lean six sigma improvement methodologies has emerged as a popular approach for organizational excellence. The research aims to explore and analyze critical success factors of lean six sigma integrated Industry 4.0 (LSSI).

Design/methodology/approach

This research study explores and analyzes the critical success factors (CSFs) of LSSI. A three-phase study framework is employed. At first, the CSFs are identified through an extensive literature review and validated through experts’ feedback. Then, in the second phase, the initial list of CSFs is finalized using the fuzzy DELPHI technique. In the third phase, the cause-effect relationship among CFSs is established using the fuzzy DEMATEL technique.

Findings

A dyadic relationship among cause-and-effect category CSFs is established. Under the cause category, top management commitment toward integrating LSSI, systematic methodology for LSSI and organizational culture for adopting changes while adopting LSSI are found to be topmost CSFs. Also, under the effect category, organizational readiness toward LSSI and adaptability and agility are found to be the uppermost CSFs.

Practical implications

The study offers a framework to understand the significant CSFs for LSSI implementation. Insights from the study will help industry managers and practitioners to implement LSSI and achieve organizational excellence.

Originality/value

To the best of the authors’ knowledge, CSFs of LSSI are not much explored in the past by researchers. Findings will be of great value for professionals in developing long-term operations strategies.

Blockchain Technology for Oil and Gas: Implications and Adoption Framework Using Agile and Lean Supply Chains

Oil and gas (O&G) supply chain management (SCM) is complex because it deals with different geographic locations to manage demand and supply, transportation, inventory, and distribution. Blockchain technology has created an interesting research gap in the SCM domain, and this study is designed to describe the relevancy of blockchain technology for O&G SCM. SCM is based on agile and lean supply chains (SCs). Agile SC focuses on increasing flexibility and responsiveness to gain competitive advantages, and lean SC is based on eliminating waste and processes to improve firm performance. This study is an initial effort to propose a framework that suggests the implication of blockchain for O&G by providing an overview of O&G SCM. Data were collected from SC managers of O&G companies, and we analyzed the impact of agile and lean SCs on firm performance. The results indicate that agile SC is highly important for O&G industries in comparison to lean SC. This study proposes the key requirements of agile SC and how blockchain can uplift agile SC technology with state-of-the-art properties such as data-driven management, information sharing, data privacy, cyber-security, transparency, smart contracts, visibility, traceability, and reliability, which boost SC agility as well as firm performance.

Risk factors in the assessment of suppliers

The need to evaluate suppliers from the perspective of risk analysis by purchasing companies is increasing. Such evaluation of suppliers is conducted primarily by production companies with implemented quality (QMS), environmental (EMS), health and safety management systems (H&SMS), as well as Toyota Production System (TPS). This article aims to examine latent factors for suppliers’ evaluation and to describe the intensity of these factors by the implemented management system. The article provides the results of empirical research conducted with the computer-assisted telephone interviewing (CATI) technique in 151 medium and large manufacturing companies operating in Poland. The risk was classified into three main groups to deepen the research process: management system risks, environment risks, and process risks. This allowed for the formulation of some original conclusions. The results showed that companies implementing standardized management systems take the issue of risk analysis and management more seriously than organizations that do not implement such systems. The research also highlighted the differences in the perception of risk caused by implementing various management systems. The study also found that the industry and business profile specificity also affect the risk assessment in cooperation with suppliers.

Synergising lean objectives through BIM to enhance productivity and performance

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Selection methods of lean management tools: a review

Purpose

The purpose of this paper is (1) to review, analyze and assess the existing literature on lean tools selection studies published from 2005 to 2021; (2) to identify the limitations faced by previous studies; and (3) to suggest future works that are necessary to facilitate the selection of lean tools.

Design/methodology/approach

A systematic approach was used in order to identify, collect and select the articles. Several keywords related to the selection of lean tools were used to collect articles from different Scopus indexed journals. Next, the study systematically reviewed and analyzed the selected papers to identify the lean tools' selection method and discussed its features and limitations.

Findings

An analysis of the results showed that previous studies have adopted two types of methods for selecting lean tools. First, there are various traditional methods being used. Second, multi-criteria decision-making (MCDM) methods were commonly used in previous studies, such as the multi-objective decision-making method (MODM), single multi-attribute decision-making (MADM) methods and hybrid (MCDM). Moreover, the study revealed that the lean tools' selection methods in previous studies were based on evaluating the relationship between either lean tools and performance metrics or lean tools and waste, or both.

Research limitations/implications

In terms of its theoretical value, the study is considered as an extension of the previous researches performed on this topic by determining and analyzing the features of the most selection methods of lean tools. Unlike previous review papers, this review had considered discussing and analyzing the characteristics and limitations of these methods. Section 2.2 of this paper reviewed some of the categories of MCDM methods as well as some of the traditional methods used in the selected previous studies. Section 2.1 of this paper explained the concept of lean management and its application benefits. Further, only three sectors were covered by the previous studies in this review paper. This study also provided recommendations for future research. Therefore, it provided researchers with a good conception of how to conduct the studies on lean tools selection. Besides, knowing the methods used in previous studies can help researchers develop new methods to select the best set of lean tools. That is, this study provided and advanced the existing knowledge base for researchers concerning lean tools selection, especially there is limited availability of review papers on this topic. Moreover, the study showed researchers the importance of the relationship between lean tools and indicators or/and performance indicators to determine the appropriate set of lean tools so that the results of future studies will be more realistic and acceptable.

Practical implications

Practically, manufacturers face a significant challenge when selecting proper lean tools. This study may enhance managers, manufacturers and company's knowledge to identify most of the methods used to choose the best set of lean tools and what are the advantages, disadvantages and limitations of these methods as well as the latest studies that have been adopted in this topic. That means this study can direct companies to prioritize the application of lean tools depending on either the manufacturing performance metrics or/and manufacturing wastes so that they avoid incorrect application of lean tools, which will add more non-value added activities to operations. Therefore companies can decrease the time and cost losses and enhancing the quality and efficiency of the performance. Correctly implementing the best set of lean tools in companies will lead in general to correctly applying lean management in corporations. Therefore, these lean tools can boost the economic aspect of companies and society through reducing waste, improving performance indicators, preserving time and cost, achieving quality, efficiency, competitiveness, boosting employee income and improving the gross domestic product. The correct lean tool selection reduces customer complaints and employee stress and improves work conditions, health, safety and labor wellbeing. Besides, the correct lean tools selection improves materials usage, energy usage, water usage and decreases liquid wastes, solid wastes and air emissions. As a result, the right selection of lean tools will have positive effects on both the environment and society. The study may also encourage manufacturers and researchers to adopt studies on lean tools selection in small- and medium-sized companies because the study referred to the importance and participation of these kinds of companies in a large proportion of the economy of developing countries. Further, the study may encourage some countries that have not previously adopted this type of study, academically and industrially to conduct lean tools selection studies.

Social implications

As mentioned previously, the correct lean tool selection reduces customer complaints and employee stress and improves work conditions, health, safety and labor wellbeing. The proper lean tools selection improves materials usage, energy usage, water usage and decreases liquid wastes, solid wastes and air emissions. As a result, the right choice of lean tools will positively affect both the environment and society.

Originality/value

The study expanded the efforts of previous studies concerning lean management features. It provided an accurate review of most lean tools selection studies published from 2005 to 2021 and was not limited to the manufacturing sector. It further identified and briefly described the selection methods concerning lean tools adopted in each paper.

Nursing and society: Evolution of Nursing and of capitalism in the 200 years of Florence Nightingale

OBJECTIVE

to analyze the relationships between the development of the Nursing labor and of capitalism over the 200 years of Florence Nightingale.

METHOD

a logical-reflective and theoretical exposition based on interpretations of historical facts and Marxist theories. The analysis categories were the following: the creation and expansion of the Nightingalean Nursing Teaching System; the subsumption of the Nursing labor to capital; imperialism and international health; and the flexibilization of the Nursing labor.

RESULTS

the expansion of the Nightingale Teaching System has trained nurses on a global scale. The capitalist system transformed the Nursing labor in the twentieth century, culminating in the twenty-first century with precarious and intense turnover of nurses in their jobs.

CONCLUSION

the Nursing labor, made professional by Nightingale, has assumed in the last 200 years a dialectical relationship with capitalism in which it both determines and is determined by it. New challenges, such as the Industry 4.0 technologies, are constantly imposed on the profession.

Kaizen transferability in non-Japanese cultures: a combined approach of total interpretive structural modeling and analytic network process

Purpose

The literature on Kaizen transferability to non-Japanese culture is still evolving. The results suggest that the relevant research is still at a descriptive and explanatory stage. This study aims to identify and prioritize the importance of significant Kaizen transferability factors in a non-Japanese culture.

Design/methodology/approach

A decision theory-based prescriptive analysis methodology was used to analyze identified Kaizen transferability success factors. Firstly, a list of Kaizen transferability factors was devised from the literature using a systematic literature review. Secondly, an integrated interpretative structure modeling and analytic network process approach were applied to generate preference among factors.

Findings

A framework with a prioritized Kaizen transferability success factors included, in ascending order, organization culture, employee participation, employee discipline, employee personal initiative, top management commitment, management enforcement, employee eagerness, management support and national culture and traditions.

Research limitations/implications

Managers and decision-makers would better understand where to direct their effort and attention to implement the Kaizen management philosophy to improve firm-level productivity. Although the factors studied in this research considered the Indonesian context, the proposed framework could be replicated and extended to include other cultures.

Originality/value

The present work contributes to the limited studies and documentation on Kaizen activities' transferability challenges and the Kaizen body of knowledge in developing countries. This study should help organizations in other developing countries, assimilate how to adopt and manage the Kaizen philosophy implementation by following the framework created in this research.

Application of Kaizen philosophy for enhancing manufacturing industries’ performance: exploratory study of Ethiopian chemical industries

Purpose

Kaizen is an umbrella concept for a management philosophy based on a set of principles and values with different tools and techniques that form part of Company-Wide Quality Control. The purpose of this study to explore the empirical evidence of Kaizen philosophy practice and its effect on Ethiopian manufacturing industries, chemical companies in particular.

Design/methodology/approach

After the literature review, an exploratory empirical research, supported on a company observation, was adopted. The eight companies visit giveaway collecting annual technical reports and Kaizen award presentations. The review structure encompassed four major approaches. The first approach is conducting extensive literature review and adopting methodologies. The second approach is examining secondary data and developing SWOT analysis. The third is exploring Kaizen practices, developing framework, identifying drivers and barriers using charts, diagrams and graphs. The final approach is proposing way forward and implications based on the findings from the investigative study to emphasize the link between Kaizen practice and its effect on manufacturing industries’ performance.

Findings

The findings indicate practice of Kaizen brought in achieving monetary, nonmonetary and qualitative results. However, results vary from company to company. The average attained improvements of productivity, production volume, machine productivity and sales volume are 2.77%, 28.69%, 10.14% and 31.53% respectively. Moreover, a total of 71,932,472.19 ETB is saved by following structured framework and practice of social and technical factors. However, companies could not sustain Kaizen activities and unable to maintain the attained substantial improvements due to less effort made on some of the Kaizen practices identified as barriers on the cause and effect diagram of this exploratory study.

Research limitations/implications:

A sample size of eight companies is not adequate to generalize key findings of this study. This will be put right by carrying out further surveys in the future using questionnaire and semistructured interviews.

Practical implications

The findings of this study underlined that practice of Kaizen philosophy on chemical companies supported by structured implementation framework, full practice of drivers, eradicating barriers, sustaining practices and maintaining improvements enable in enhancing chemical companies performance through achieving quantitative (monetary and nonmonetary) and qualitative results.

Originality/value

Although there are a number of studies published on Kaizen, currently it is found that there is lack of literature on practice and effect of Kaizen philosophy. Based on this exploratory study and assessment, the framework and circumstance of Kaizen philosophy practices are providing valuable insights for chemical companies, other manufacturing industries and organizations, which will be on board on this voyage including Ethiopian Kaizen Institute, practitioners and academicians.

Organizational Commitment and Lean Sustainability: Literature Review and Directions for Future Research

The vast majority of works published on Lean focus on the evaluation of tools and/or the strategies needed for its implementation. Although many authors highlight the degree of employee commitment as one of the key aspects of Lean, what has gone largely unnoticed in the literature, is that few studies have examined in-depth the concept of organizational commitment in connection with Lean. With this narrative literature review article, our main objective is (1) to identify and analyze an extensive body of literature that addresses the Lean Manufacturing approach and how it relates to employee commitment, emphasizing affective commitment as the main type of organizational commitment positively associated with Lean, and (2) to highlight the management practices required to encourage this kind of commitment and promote the success and sustainability of Lean. This paper aims to provide a comprehensive overview that can help researchers and practitioners interested in Lean better understand the importance of employee commitment in this type of approach, and as well, to identify related research questions.

A Model for the Implementation of Lean Improvements in Healthcare Environments as Applied in a Primary Care Center

Companies operate in a competitive and changing environment requiring increasingly effective and efficient management strategies. Lean is a proven philosophy in the industrial sector having helped companies to adapt to rapid market changes; to economic, technical, and social complexities; and to customer needs. For this reason, companies in the service sector are adopting Lean to improve their service management and to achieve economic, social, and environmental sustainability. This paper presents a model which uses Lean tools to facilitate the introduction of Lean in the management of primary care centers. The results show the implementation of Lean improved primary care center management, achieved stated objectives, and demonstrated faster adaptation to environmental needs and changes. The Lean philosophy developed and applied in the primary care center proved useful at a professional level facilitating developmental changes and prompting lasting improvements by developing a sustainable work culture.

Sustainability and Kaizen: Business Model Trends in Healthcare

Kaizen, or continuous improvement, is a management tool that allows the identification of activities that have no value in the processes examined. This identification leads to the improvement of these processes within any organization and promotes economic and social sustainability, and to a lesser extent environmental sustainability. Kaizen, already widely and successfully employed in the industrial sector, is now being applied in the health sector. However, the health sector tends to publish only the results of how processes have been improved in finely focused areas and the resulting benefits. The majority of the benefits focus on time and cost reduction. In this study, the authors carried out a bibliometric analysis using the Scimat program, which maps the thematic evolution of Kaizen in the health sector and its relationship with sustainability, in order to promote the interest of the health sector for this type of process improvement. The findings confirm that the implementation of Kaizen is recent and constantly evolves and grows, and that it can help economic and social sustainability, and to a lesser extent environmental sustainability.

Industry practices on the rework of defective products: survey results

Purpose

The general objective of this research was to identify the practices of the mass production industries, on the decisions related to the detection of defective products and to identify relevant criteria, actions, effects and variables to be used in a decision-making model.

Design/methodology/approach

A survey questionnaire was developed and structured in 20 questions, with 18 closed questions and 2 open questions. The questions were constructed based on the literature review, with the identification of 15 theoretical and practical concepts of quality. Seven other information requests were included, concerning the initial characterization of the defective items and industry. The company, the product, the processes and the defects were contextualized, and then the decision-making process was framed, to understand the factors that influenced it.

Findings

The industries of the Industrial Pole of Manaus discard or rework their defective products influenced by promoting the lowest cost and the required quality. The factors with the biggest influence on decisions are rework and disposal costs, and time available for rework and replacement. The main requirements defined for the decision-making model were: 1) compare the rework and discard options, only if the rework reaches the required quality level; and 2) identify and account the effects of defective items on quality, productivity and costs.

Research limitations/implications

Overall, 109 questionnaires were sent, representing 21.3% (109/512) of the companies at the Industrial Pole of Manaus. The respondents represent 14.6% (75/512) of the population.

Originality/value

Defects can occur, requiring a decision that promotes the lowest cost and the required quality. Quality cost models do not show a systematic analysis for identification, accounting, evaluation of effects and criteria associated with the destination of manufactured defective items. Therefore this research was done to fill this gap.

Leadership concepts in manufacturing environments: A brief historical review and conclusion with recommendations for education and training of I-O psychologists

Viewing production-line workers from a historical standpoint, the attention on manufacturing in the 19th and into the 20th centuries was on production (Fifelski, 2014) and production-oriented leadership style, in contrast to employee-oriented leadership style (Likert, 1961; see also Kosicek, Soni, Sandbothe, & Slack, 2012).Around the turn of the 20th century, changes took place, and it appears as if two different approaches were taken in manufacturing environments: research–practitioner-based leadership approaches and management-based leadership approaches; the latter approach is less a leadership style and more a social management philosophy em+phasizing business operation (Vitolla, Rubino, & Garzoni, 2017). This review should bring awareness that industrial and organizational (I-O) psychologists once took on the lead to major successes that arose from work in manufacturing companies; however, today there is hardly any contribution by I-O psychologists to the manufacturing sector.

The moderating effect of industry clockspeed on Lean Manufacturing implementation in Zimbabwe

Purpose

The purpose of this paper is to analyze the moderating impact of industry clockspeed (IC) on the relationship between Lean Manufacturing (LM) practices and operational performance. A model for evaluating the impact of LM is developed and the moderating effect of IC is taken into consideration as a fundamental variable that affects the causal relationship between LM practices and operational performance.

Design/methodology/approach

A structural equation model was proposed and investigated across two groups based on IC level (Group 1: low IC and Group 2: high IC). A structured survey questionnaire was used to collect empirical data from 600 companies listed by the Confederation of Zimbabwean Industries. A total of 214 usable questionnaires were obtained giving a response rate of 35.6 percent. The data were analyzed using Smart PLS 3 and SPSS version 25.

Findings

The results revealed that LM practices directly and positively affected operational performance and IC had a positive moderation effect on the relationship between LM practices and operational performance. The results indicated that the structural equation model remained invariant across the groups. This showed that IC had a moderating effect on the relationship between LM practices and operational performance for both low IC and high IC industries.

Originality/value

The study analyzed the moderating effect of IC in Zimbabwean industries. The study will provide further evidence to managers on the impact of LM practices on operational performance in developing countries.

Integrating DMAIC approach of Lean Six Sigma and theory of constraints toward quality improvement in healthcare

Healthcare is a unique service industry and it deals with complex tasks. To overcome complex tasks, healthcare organizations need to implement DMAIC (Define, Measure, Analyze, Improve, Control) approach of Lean Six Sigma (LSS) to improve quality performance. Application of DMAIC in a healthcare organization provides guidelines on how to handle a quality service system toward patient satisfaction. This approach also helps healthcare service providers to reduce waste, variation and work imbalance in the service processes. This chapter discusses five phases of DMAIC approach and its integration with the theory of constraints (TOC) for continuous improvements in healthcare performance. The integration of TOC and DMAIC approach would enhance healthcare performance by reducing medical costs, medical errors, administration errors and defects. Moreover, this integration can improve performance in healthcare service processes where it is not possible to reduce bottlenecks.

The impact of Engineering, Procurement and Construction (EPC) Phases on Project Performance: A Case of Large-scale Residential Construction Project

The Construction Industry is a complex and fragmented industry worldwide with regards to its supply chain, products, and processes, and is faced with a similar dilemma as faced by manufacturers during its time in past decades. Scope, time, and cost are the triple constraints of project management and leading factors in defining the project performance. Productivity and efficiency of each construction project is measured through its triple constraints, therefore the factors that affect project success are significantly important. Despite the importance of understanding project performance indicators, few empirical studies have been conducted over the last decade in terms of analyzing the factors that determine the performance of high-rise buildings in Engineering, Procurement, and Construction (EPC) projects. Hence, the aim of this paper is to analyze and rank EPC critical activities across large-scale residential construction projects in Iran, by using the TOPSIS method as a multi-attribute group decision-making technique. Results indicate that engineering design, project planning and controls are significant factors contributing to the project performance. In addition, engineering has a pivotal role in project performance and this significance is followed by the construction phase. On the contrary, all believe procurement is more important than Construction phase.