ABSTRACT
Abstract Over the last years, pharmaceutical industries have adopted continuous improvement and operational excellence programs to optimize processes, improve quality and reduce operational costs. Worldwide, Lean Manufacturing (LM) and Six Sigma (SS), as well as the integration of the two methods: Lean Six Sigma (LSS) are the most used approaches in the continuous improvement of industries and services. This work aims to investigate the employment of the Lean Six Sigma methodology in the productive areas of pharmaceutical companies located in Brazil. Interviews were conducted with managers of pharmaceutical industries that apply the approach. The results indicated the greater use of Lean Manufacturing tools compared to Six Sigma and the influence of specific peculiarities of the pharmaceutical industry on the benefits that are achieved with the use of Lean Six Sigma. The approach is considered of great value as it provides substantial benefits to the pharmaceutical industry. It is concluded that the work corroborates to the theoretical and empirical knowledge about the methodology use in the context of Brazilian pharmaceutical industries, as well as contributes to the implementation, reformulation, and improvement of Lean Six Sigma programs in this industrial segment.
ABSTRACT
The application of new-generation information technologies such as big data, the internet of things(IoT), and cloud computing in the traditional Chinese medicine(TCM)manufacturing industry is gradually deepening, driving the intelligent transformation and upgrading of the TCM industry. At the current stage, there are challenges in understanding the extraction process and its mechanisms in TCM. Online detection technology faces difficulties in making breakthroughs, and data throughout the entire production process is scattered, lacking valuable mining and utilization, which significantly hinders the intelligent upgrading of the TCM industry. Applying data-driven technologies in the process of TCM extraction can enhance the understanding of the extraction process, achieve precise control, and effectively improve the quality of TCM products. This article analyzed the technological bottlenecks in the production process of TCM extraction, summarized commonly used data-driven algorithms in the research and production control of extraction processes, and reviewed the progress in the application of data-driven technologies in the following five aspects: mechanism analysis of the extraction process, process development and optimization, online detection, process control, and production management. This article is expected to provide references for optimizing the extraction process and intelligent production of TCM.
Subject(s)
Medicine, Chinese Traditional , Drugs, Chinese Herbal , Quality Control , Big Data , AlgorithmsABSTRACT
OBJECTIVE@#Common findings are to be found from 144 different type of medical device manufacturers' audit reports which are from Jan. 2017 to Jun. 2019. Advise is to be provided for medical device manufacturers on continual improvement.@*METHODS@#Classify and analyze the on-site audit findings from different type of medical device manufacturers.@*RESULTS@#The frequency of findings from chapter production management, buildings and facilities, quality control are comparatively high.@*CONCLUSIONS@#The key to improve the quality management system is to cultivate the staff sense of continual improvement of quality system, improve the staff ability of finding and solving problems, encourage staff participation in quality system, fit the quality system on product realization.
Subject(s)
Industry , Quality Control , Time FactorsABSTRACT
Resumen Los cambios en normatividad y acceso a recursos naturales permiten repensar el proceso de toma de decisiones sobre métodos de producción sostenibles, sin alterar estabilidad y posición competitiva en las organizaciones. Como metodología se realizó un estudio bibliométrico para 576 documentos recuperados de la base de datos Scopus, a fin de comprender tendencias en investigación. A partir de Ley de Lotka y Ley de Pareto se desarrollaron indicadores de calidad, cantidad y estructura. Los resultados exhiben como tendencias de investigación futura: Life Cycle Assessment, plantas de producción sostenibles, análisis de riesgo en producción, green manufacturing y gestión sostenible en proveedores.
Abstract Changes in regulations and access to natural resources allow us to rethink the decision-making process regarding sustainable production methods without altering the stability and competitive advantage of organizations. As methodology, a bibliometric study was carried out for 576 documents retrieved from the Scopus database in order to understand trends in research. Lotka Law and Pareto Law were used to build quality, quantity and structure indicators. The results show as future research the following trends: Life Cycle Assessment, sustainable production plants, risk analysis in production, green manufacturing and sustainable management in suppliers.
Resumo As mudanças na normatividade e acesso aos recursos naturais permitem repensar o processo de toma de decisões sob métodos de produção sustentáveis, sem alterar a estabilidade e vantagem competitiva nas organizações. Como metodologia realizouse um estudo bibliométrico para 576 documentos recuperados da base de dados Scopus, com o fim de compreender tendências na pesquisa. A partir da Lei do Lotka e a Lei do Pareto desenvolveram-se indicadores de qualidade, quantidade e estrutura. Os resultados amostram como tendências da futura pesquisa: Life Cycle Assessment, usinas de produção sustentáveis, análises de risco em produção, green manufacturing e gestão sustentável em fornecedores.