Dmarc: A Framework For The Integration Of Dmaic And Dmadv

The Lean Six Sigma methodology is being applied extensively to tackle many quality related issues in many processes of today s industries. Various companies have benefited greatly from the adoption of Six Sigma and Lean engineering concepts since their introduction, and continue to do so. The DMAIC method that is traditionally adopted in the implementation of the Lean Six Sigma methodology has proven to yield cost saving results in most cases. Yet, industries have found that just improvement of existent process and products to reduce defects, does not quench the customer s growing thirst for greater quality. In order to tackle variation and defects pro actively, the initiative to achieve Six Sigma level of quality (3.4 DPMO) or greater is being infused into the design of new products using the Design for Six Sigma (DFSS) methodology, through systematic approaches such as DMADV. This research integrates the DMADV approach into the classic DMAIC methodology through a framework, DMARC, which details the improvement an existing process through re design. It provides a systematic approach to avoid the mis direction of projects into following the path of continued improvement of existing processes that are deemed to be beyond such efforts. A real life industrial case: a successfully completed Lean Six Sigma project, tackling the downtime of the Launch Pad Meteorological System at Launch Pads 39A and B at the Kennedy Space Center, was studied to exemplify the possibility of the achievement of greater results from the implementation of the DMARC framework

Identifying and Prioritizing the Effective Criteria in Selecting Lean Six Sigma Improvement Projects in the Healthcare Sector

[EN] The main objective of this study was to identify and prioritize effective criteria in selecting Lean Six Sigma improvement projects in the healthcare and treatment sector in Iran. The present study was an applied research in terms of objective and a descriptive and analytical one according to the research methodology and data collection approach. The research statistical population included experts and managers with experience in the field of implementing the lean six sigma methodology in the field of healthcare and treatment in Iran. We used interviews and questionnaire tools to collect the data. The effective criteria were identified through reviewing previous research, which were then prioritized based on the experts’ opinions using the BWM method. According to the results, out of the six main dimensions and 20 criteria identified, the customer development dimension with a weight of 0.387 and the customer satisfaction criterion with a weight of 0.066 were determined as the most effective dimension and the most effective criterion, respectively. Accordingly, the directors of medical centers and organizations affiliated with the healthcare sector are recommended to pay special attention to these defined criteria of the customer development dimension to effectively implement the lean six sigma methodology and managing an effective customer relationship.Bazrkar, A.; Aramoon, V.; Aramoon, E. (2021). Identifying and Prioritizing the Effective Criteria in Selecting Lean Six Sigma Improvement Projects in the Healthcare Sector. WPOM-Working Papers on Operations Management. 12(2):41-55. https://doi.org/10.4995/wpom.15766OJS4155122Ahmed, S., Abd Manaf, N. H., & Islam, R. (2018). 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Total Quality Management & Business Excellence, 28(3-4), 405-426. https://doi.org/10.1080/14783363.2015.1090291Li, J., Wang, J. Q., & Hu, J. H. (2019). Multi-criteria decision-making method based on dominance degree and BWM with probabilistic hesitant fuzzy information. International Journal of Machine Learning and Cybernetics, 10(7), 1671-1685. https://doi.org/10.1007/s13042-018-0845-2Lizarelli, F. L., & Alliprandini, D. H. (2020). Comparative analysis of Lean and Six Sigma improvement projects: performance, changes, investment, time and complexity. Total Quality Management & Business Excellence, 31(3-4), 407-428. https://doi.org/10.1080/14783363.2018.1428087Maghsoodi, A. I., Mosavat, M., Hafezalkotob, A., & Hafezalkotob, A. (2019). Hybrid hierarchical fuzzy group decision-making based on information axioms and BWM: Prototype design selection. Computers & Industrial Engineering, 127, 788-804. https://doi.org/10.1016/j.cie.2018.11.018Malek, J., & Desai, T. N. (2019). 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Implementation of a lean six sigma approach in the manufacturing sector: a systematic literature review

Lean Six Sigma is a continuous improvement methodology that aims to reduce production costs, improve organisational capability, and maximise the value for shareholders. This paper aims to explore the most common themes within LSS in the manufacturing sector, and to identify any gaps in those themes which may be preventing users from getting the most benefit from their LSS strategy. This paper also identifies the gaps in current literature and develops a research agenda for future research into Lean Six Sigma themes. The following research is based on a Systematic Literature Review of 33 papers which were published on LSS in the top journals in the field and other specialist journals, from 2000 to 2012. There are important themes cited in this paper which are; Critical Success Factors, benefits, motivation factors, limitations and impeding factors. However, there are many gaps and limitations that need to be covered in future research

Lean and green – a systematic review of the state of the art literature

The move towards greener operations and products has forced companies to seek alternatives to balance efficiency gains and environmental friendliness in their operations and products. The exploration of the sequential or simultaneous deployment of lean and green initiatives is the results of this balancing action. However, the lean-green topic is relatively new, and it lacks of a clear and structured research definition. Thus, this paper’s main contribution is the offering of a systematic review of the existing literature on lean and green, aimed at providing guidance on the topic, uncovering gaps and inconsistencies in the literature, and finding new paths for research. The paper identifies and structures, through a concept map, six main research streams that comprise both conceptual and empirical research conducted within the context of various organisational functions and industrial sectors. Important issues for future research are then suggested in the form of research questions. The paper’s aim is to also contribute by stimulating scholars to further study this area in depth, which will lead to a better understanding of the compatibility and impact on organisational performance of lean and green initiatives. It also holds important implications for industrialists, who can develop a deeper and richer knowledge on lean and green to help them formulate more effective strategies for their deployment

Application of six sigma methodology to reduce defects of a grinding process

Six Sigma is a data-driven leadership approach using specific tools and methodologies that lead to fact-based decision making. This paper deals with the application of the Six Sigma methodology in reducing defects in a fine grinding process of an automotive company in India. The DMAIC (Define–Measure–Analyse–Improve–Control) approach has been followed here to solve the underlying problem of reducing process variation and improving the process yield. This paper explores how a manufacturing process can use a systematic methodology to move towards world-class quality level. The application of the Six Sigma methodology resulted in reduction of defects in the fine grinding process from 16.6 to 1.19%. The DMAIC methodology has had a significant financial impact on the profitability of the company in terms of reduction in scrap cost, man-hour saving on rework and increased output. A saving of approximately US$2.4 million per annum was reported from this project

Implementing the Lean Sigma Framework in an Indian SME: a case study

Lean and Six Sigma are two widely acknowledged business process improvement strategies available to organisations today for achieving dramatic results in cost, quality and time by focusing on process performance. Lately, Lean and Six Sigma practitioners are integrating the two strategies into a more powerful and effective hybrid, addressing many of the weaknesses and retaining most of the strengths of each strategy. Lean Sigma combines the variability reduction tools and techniques from Six Sigma with the waste and non-value added elimination tools and techniques from Lean Manufacturing, to generate savings to the bottom-line of an organisation. This paper proposes a Lean Sigma framework to reduce the defect occurring in the final product (automobile accessories) manufactured by a die-casting process. The proposed framework integrates Lean tools (current state map, 5S System, and Total Productive Maintenance (TPM)) within Six Sigma DMAIC methodology to enhance the bottom-line results and win customer loyalty. Implementation of the proposed framework shows dramatic improvement in the key metrics (defect per unit (DPU), process capability index, mean and standard deviation of casting density, yield, and overall equipment effectiveness (OEE)) and a substantial financial savings is generated by the organisation

Case study in six sigma methadology : manufacturing quality improvement and guidence for managers

This article discusses the successful implementation of Six Sigma methodology in a high precision and critical process in the manufacture of automotive products. The Six Sigma define–measure–analyse–improve–control approach resulted in a reduction of tolerance-related problems and improved the first pass yield from 85% to 99.4%. Data were collected on all possible causes and regression analysis, hypothesis testing, Taguchi methods, classification and regression tree, etc. were used to analyse the data and draw conclusions. Implementation of Six Sigma methodology had a significant financial impact on the profitability of the company. An approximate saving of US$70,000 per annum was reported, which is in addition to the customer-facing benefits of improved quality on returns and sales. The project also had the benefit of allowing the company to learn useful messages that will guide future Six Sigma activities

Statistical process control implementation in the food industry: A systematic review and implications for future research

This study is to illustrate a systematic review application in investigating common issues emerging from Statistical Process Control (SPC) implementation in the food industry. A total of 34 journal articles were rigorously selected from four databases and reviewed. The most common themes emerge in SPC implementation in the food industry is the benefits while the remaining themes are motivation, barriers and critical success factors (CSF). This review found that the evidence of SPC implementation in the food industry is beneficial; however, a lack of both awareness and guidelines relating to SPC implementation in the food industry has resulted in a slow adoption. This systematic review concluded that there is a crucial need for further research into the SPC deployment aspect addressing how to deploy SPC in the food industry in a systematic manner