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A system dynamics (SD)-based methodology is described for analysing the impact of lean manufacturing strategies on a company's business performance, using business model canvas (BMC) perspective.

A case study approach is used to describe the methodology which consists of conceptualising a SD model on the basis of BMC. The base SD model is elaborated to include variables and concepts that consider the effects of lean manufacturing metrics on business performance. In the modelling experimentation, the lean manufacturing metrics are made to take on likely values one would expect if certain lean practices are initiated or improved. The experimental results provide one with the likely impact on business performance, if one were to improve lean manufacturing practices.

The simulation results for the case study show that lean improvements, on the short-run, have a significant impact on business performance, but in the long run, the impact is only marginal.

The described methodology provides one with a structured format for investigating the impact of lean practices on business performance. Although the developed SD model was built with generality in mind, it remains to be reproduced in other settings to test its replicability.

The methodology enables an organisation target which lean improvements to initiate based on their strategic impact on the business.

Limited studies exist where SD and business models are combined to test the strategic impact of lean manufacturing.

This study aims to seek to advance a system dynamics-discrete event hybrid simulation modelling concept useful for taking improvement decisions where one needs to consider the interactions between human factors and process flow elements in lean manufacturing systems.

A unique approach is taken to hybrid simulation modelling where the whole problem situation is first conceptualized using a causal loop diagram and stock and flow diagram, before transmitting to a hybrid simulation model. The concept is intended to simplify the simulation modelling process and make the concept pliable for use in various types of lean manufacturing problem situations.

The hybrid simulation modelling concept was applied to a lean manufacturing case where quality performance was sporadic mainly because of production pressures. The hybrid modelling concept revealed a solution that advanced full compliance with lean and one that required changes in job scheduling policies to promote both continuous improvement and throughput increases.

Because non-tangible aspects of lean were objectively assessed using the hybrid modelling concept, the study is an advancement towards establishing a credible link between human resource aspects of lean and the performance of an organization.

The applied hybrid model enabled managers in the plant navigate the trade-off decision they often face when choosing to advance production output ahead of continuous improvement practices.

System dynamics-discrete event hybrid simulation modelling is a rarity in lean manufacturing systems.

The paper proposes a framework for the successful deployment of Industry 4.0 (I4.0) principles in the aerospace industry, based on identified success factors. The paper challenges the perception of I4.0 being aligned with de-skilling and personnel reduction and instead promotes a route to successful deployment centred on upskilling and retaining personnel for future role requirements.

The research methodology involved a literature review and industrial data collection via questionnaires to develop and validate the framework. The questionnaire was sent to a purposive sample of 50 respondents working in operations, and a response rate of 90% was achieved. Content analysis was used to identify patterns, themes, or biases, and the data were tabulated based on specific common attributes. The proposed framework consists of a series of gates and criteria that must be met before progressing to the next gate.

The proposed framework provides a feedback mechanism to review minimum standards for successful deployment, aligned with new developments in capability and technology, and ensures quality assessment at each gate. The paper highlights the potential benefits of I4.0 implementation in the aerospace industry, including reducing operational costs and improving competitiveness by eliminating variation in manufacturing processes. The identified success factors were used to define the framework, and the identified failure points were used to form mitigation actions or controls for inclusion in the framework.

The paper provides a framework for the successful deployment of I4.0 principles in the aerospace industry, based on identified success factors. The framework challenges the perception of I4.0 as being aligned with de-skilling and personnel reduction and instead promotes a route to successful deployment centred on upskilling and retaining personnel for future role requirements. The framework can be used as a guideline for organizations to deploy I4.0 principles successfully and improve competitiveness.

This study aims to propose a cybersecurity framework that prioritizes sustainability in the manufacturing sector by identifying necessary resources and capabilities for effective cybersecurity management. The proposed framework aims to enhance resource protection and safeguard data confidentiality, integrity and accessibility, provide proactive steps for predicting cyber threats and highlight the importance of educating employees at all levels of the organization.

A thorough review of existing literature and analysis was conducted to develop the proposed cybersecurity framework. Several frameworks, including the NIST cybersecurity framework, were reviewed to identify the necessary skills and resources required to combat cyber threats and keep businesses sustainable.

The proposed framework includes proactive steps, such as predicting cyber threats, and emphasizes the importance of educating employees and raising awareness at all levels of the organization. Resilience is also emphasized, which refers to an organization's ability to recover and continue operations following a cyberattack. Implementing this framework may require a significant budget and time investment, and small organizations may face limitations in applying all aspects of the framework.

This study proposes a cybersecurity framework that prioritizes sustainability in the manufacturing sector, which provides added protection for organizations. The framework's key functions can be adopted partially or fully, making it suitable for organizations of varying sizes. Future research can focus on addressing the framework's limitations and shortcomings to further reduce cyber risks for sustainable manufacturing, establishing the scale of an industry based on its economy and extending the framework to non-manufacturing businesses.

Numerous and diverse organizations have implemented lean principles and practices, which concentrate on improving the efficiency of business processes by reducing cost, waste, consumptions and effort. However, previous assessments have not focused on the leanness of the supply chain in a health-care setting. This paper aims to introduce a method for assessing the successful implementation of lean principles and tools in a supply chain. Furthermore, this paper validates the method in a health-care organization.

This paper starts with an extensive literature review on assessing leanness and using multi-grade fuzzy logic. Then, a conceptual model was developed to measure leanness. The conceptual model was validated by discussing the initial version with select academic experts, especially those who deal with leanness in health-care organizations. After responding to the experts’ valuable comments, the health-care organization that is the focus of this case study was chosen based on two criteria. The first criterion was the organization’s ability to participate in the study, and the second was the organization’s commitment to implementing lean principles. These criteria were important to ensure the organization had the necessary foundation for implementing change initiatives such as lean process improvements. Next, a multi-grade (multi-attributes) fuzzy logic was used for leanness measurement. A leanness index was calculated, and the results were validated using experts from the case study organization. Finally, the weaker areas of the organization’s processes were identified to point the way for further improvements.

The assessment indicated that the case study organization is not lean. The organization’s weaker attributes were identified, and improvements have been suggested.

This study focused on a single health-care organization, which was selected from a limited pool of potential organizations, namely, organizations which are accredited by both the Saudi Central Board for Accreditation of Healthcare Institutions and the Joint Commission International. The scope of future research should be extended to multi-case studies to enhance the findings presented in this paper. This paper’s findings can be used to help decision-makers at health-care providers to implement lean thinking in supply chain processes.

This research may be interest to practicing supply chain managers, as it proposes what enablers, factors and attributes should be emphasized in lean implementation. The proposed model can work as an assessment tool to identify the gap between the present level of leanness and the desired leanness state so the health-care organization can identify what can be improved. This model enables decision-makers in hospital supply chain to take suitable actions for improving lean implementation level.

This study makes an original contribution to the body of research concerning lean principles; the study developed a conceptual model for leanness assessment that can be applied to the supply chain of health-care organizations. Indeed, the conceptual model is likely to be useful for assessing leanness outside of the health-care field, which suggests avenues for future research.

The purpose of this paper is to promote a system dynamics-discrete event simulation (SD-DES) hybrid modelling framework, one that is useful for investigating problems comprising multifaceted elements which interact and evolve over time, such as is found in TPM.

The hybrid modelling framework commences with system observation using field notes which culminate in model conceptualization to structure the problem. Thereafter, an SD-DEShybrid model is designed for the system, and simulated to proffer improvement programmes. The hybrid model emphasises the interactions between key constructs relating to the system, feedback structures and process flow concepts that are the hallmarks of many problems in production. The modelling framework is applied to the TPM operations of a bottling plant where sub-optimal TPM performance was affecting throughput performance.

Simulation results for the case study show that intangible human factors such as worker motivation do not significantly affect TPM performance. What is most critical is ensuring full compliance to routine and scheduled maintenance tasks and coordinating the latter to align with rate of machine defect creation.

The framework was developed with completeness, generality and reuse in view. It remains to be applied to a wide variety of TPM and non-TPM-related problems.

The developed hybrid model is scalable and can fit into an existing discrete event simulation model of a production system. The case study findings indicate where TPM managers should focus their efforts.

The investigation of TPM using SD-DES hybrid modelling is a novelty.

The purpose of this systematic review is to critically analyze pharmaceutical industry case studies on the implementation of Lean 4.0 methodologies to synthesize key lessons, benefits and best practices. The goal is to inform decisions and guide investments in related technologies for enhancing quality, compliance, efficiency and responsiveness across production and supply chain processes.

The article utilized a systematic literature review (SLR) methodology following five phases: formulating research questions, locating relevant articles, selecting and evaluating articles, analyzing and synthesizing findings and reporting results. The SLR aimed to critically analyze pharmaceutical industry case studies on Lean 4.0 implementation to synthesize key lessons, benefits and best practices.

Key findings reveal recurrent efficiency gains, obstacles around legacy system integration and data governance as well as necessary operator training investments alongside technological upgrades. On average, quality assurance reliability improved by over 50%, while inventory waste declined by 57% based on quantified metrics across documented initiatives synthesizing robotics, sensors and analytics.

As a comprehensive literature review, findings depend on available documented implementations within the search period rather than direct case evaluations. Reporting bias may also skew toward more successful accounts.

Synthesized implementation patterns, performance outcomes and concealed pitfalls provide pharmaceutical leaders with an evidence-based reference guide aiding adoption strategy development, resource planning and workforce transitioning crucial for Lean 4.0 assimilation.

This systematic assessment of pharmaceutical Lean 4.0 adoption offers an unprecedented perspective into the real-world issues, dependencies and modifications necessary for successful integration, absent from conceptual projections or isolated case studies alone until now.

The main purpose of this paper is to present lean implementation in hospital supply chain management (HSCM) and propose a new conceptual framework tailored specifically to the needs of Saudi health-care organizations.

This paper starts with an in-depth review of existing frameworks or models for lean implementation in health care in general and in HSCM specifically. Based on the literature studies and taking experts’ opinions into account, a new framework for lean implementation in the Saudi HSCM is presented.

A new lean implementation framework is offered to decision-makers in the health-care organization for implementing a lean approach in HSCM practices.

This study focused on health-care organizations, which were selected from hospitals operated by the Ministry of Health and only those hospitals that are accredited by both the Saudi Central Board for Accreditation of Healthcare Institutions and the Joint Commission International. The framework is limited to Saudi health care.

The lean supply chain management (LSCM) framework is easy to understand and use without much complexity. This simplicity makes the LSCM applicable in health-care settings. Further, LSCM was validated in three different hospitals, and it helped them to identify and improve their non-added activities, thereby readying them for lean deployment in HSCM.

Little attention has been paid to implementing a lean approach by health-care providers in developing countries. This study presents a new framework that is considered the first of its kind for implementing lean in HSCM in Saudi. This framework could help HSCMs’ decision-makers to implement lean successfully in HSCM practices.

This paper aims to set the framework for measuring the energy performance of a manufacturing process. The availability and affordability of energy is becoming a critical parameter nowadays, affecting the whole lifecycle of the product, and hence the production phase as well. The energy efficiency of the grinding process, as a widely used manufacturing process in the industry, is assessed with regard to the selected process strategies.

To assess the grinding machine tool energy performance, a measuring framework is designed, implemented and validated. The process strategy effect on the energy consumption is experimentally assessed through energy audits of the grinding machine tool. Such energy audits provide better insights into the way subsystems composing a machine tool affect the energy consumption.

It is revealed that the proper selection of process strategy can significantly reduce the energy consumption. The amount of energy consumed for the actual process is less than the energy required for maintaining the processing environment (e.g. for the coolant pump delivering coolant fluid in the processing area). The key finding is that the measuring framework can be used for the understanding and analysis of the energy consumption of the various machine tool components. Additionally, for the grinding process itself, the energy audits indicate that reducing the processing duration can significantly reduce the overall energy.

The main novel contribution of the present paper is the development of a measurement framework for assessing the energy consumption of subsystems running simultaneously when processing a workpiece. Grinding process energy demand is analysed in detail, allowing for the first time to consider energy consumption as a manufacturing decision criterion.

International Journal of Lean Six Sigma (IJLSS) has completed a decade. To celebrate the same, this study aims to review the articles published in IJLSS from its inception to the year 2020. The journal’s trends and professional impact over the years are investigated and potential future research directions are proposed.

A bibliometric analysis comprising of citation, co-citation and keyword co-occurrence methods is used on all the articles published in IJLSS till the year 2020. Content analysis is further done to analyse the type of research, type of industry studied and the articles’ target audience.

The journal has improved its reputation, productivity and impact over the years. Currently, studies published in IJLSS have been cited more than 5,000 times, with the most prominent themes being Six Sigma, Lean Six Sigma (LSS) and Lean in manufacturing and services. Researchers from India, the USA and the UK have contributed a significant number of publications. Most of the work published is case-based. There is a need for more empirical or survey-based research having high generalizability. Future studies should also focus on integrating LSS with emerging topics such as sustainability, Industry 4.0 and the like.

The study provides evidence of the impact of IJLSS and highlights the trend in the domain of LSS. It can be of use for the editorial board members to identify potential areas to focus on in the future. Researchers can use it to further their research by working on the research gaps identified.

This paper is the first to trace the progress of IJLSS from its inception till the year 2020.