Relationship between employee involvement and lean manufacturing and its effect on performance in a rigid continuous process industry

Relationship between employee involvement and lean manufacturing and its effect on performance in a rigid continuous process industry DOI: 10.1080/00207543.2014.975852 Juan A. Marin-Garciaa* & Tomas Bonaviab Received: 1 Aug 2013 Accepted: 30 Sep 2014 Published online: 04 Nov 2014 This research aims to empirically test the effect of employee involvement on lean manufacturing (LM), and the effect of LM on production outcomes. Employee involvement is operationalised through four related variables: empowerment, training, contingent remuneration and communication. The effects are tested by recording management perceptions in a different industrial sector from those usually studied in previous research ceramic manufacturers, a highly competitive and internationally successful sector. We obtained data from 101 ceramic tile plants (64% of response rate) in the Valencia region of Spain. This approach is developed using a statistical method called partial least squares. All paths are significant except for contingent remuneration; specifically, relationships were found between empowerment, training, communication and LM, and between LM and performance.This paper has been written with financial support from the Project "Path Dependence and decision-making for selecting LM tools and practices" (PAID-06-12-SP20120717) of the Universitat Politecnica de Valencia.Marín García, JA.; Bonavía Martín, T. (2015). Relationship between employee involvement and lean manufacturing and its effect on performance in a rigid continuous process industry. International Journal of Production Research. 53(11):3260-3275. https://doi.org/10.1080/00207543.2014.975852S32603275531

Aplicação da abordagem estatística no contexto da gestão da qualidade: um survey b com indústrias de alimentos de São Paulo Application of statistical approach in the context of quality management: a study in food industries in the state of São Paulo

Nas últimas duas décadas, o crescimento do interesse pela metodologia Seis Sigma intensificou a aplicação da abordagem estatística e de outras abordagens quantitativas com o intuito de melhorar não apenas a qualidade de produtos, serviços e processos, como também aumentar o desempenho organizacional e o processo de tomada de decisão. Este artigo trata da aplicação da abordagem estatística no contexto da gestão da qualidade em indústrias de alimentos de médio e grande porte do Estado de São Paulo com o propósito de: identificar quais ferramentas e técnicas estatísticas são mais amplamente empregadas por indústrias do setor para garantir e controlar a qualidade; avaliar a interdependência entre o sucesso da implementação de programas de qualidade e segurança alimentar como Boas Práticas de Fabricação (BPF) e sistema de Análise de Perigos e Pontos Críticos de Controle (APPCC) e o uso de estatística; e analisar estimativas do grau de relevância do pensamento estatístico e de seus benefícios como ferramenta de melhoria da qualidade. Um survey exploratório-descritivo foi realizado e os resultados revelaram que a abordagem estatística começa a ser mais valorizada nas indústrias de alimentos pela relevância de seus benefícios assim como já ocorre em outros setores. Há evidências de que a implantação bem sucedida dos programas de segurança alimentar seja uma condição primordial para o uso efetivo de estatística e de outras abordagens quantitativas.<br>Over the last two decades, the increased interest in the Six Sigma methodology has stimulated the use of statistical methods and other quantitative approaches not only to improve product quality, services, and processes, but also for organizational performance and decision making process. This paper examines the application of the statistical approach in the context of quality management in medium and large food industries from São Paulo. The purpose of this paper are: to identify the statistical tools and techniques that have been more widely utilized in quality management in the food industry; to evaluate the relationship between the use of these statistical tools and the implementation of quality and food safety programs, such as the Good Manufacturing Practices and Hazard Analysis Critical Control Point (HACCP); and to evaluate the relevance degree of the benefits of the statistical thinking application. The findings of an exploratory-descriptive study show that the statistical approach has been more valued and used by the food industry, like in other economic sectors, due to its significant benefits. There are evidences that the successful implementation of food safety programs is of paramount importance to the effective use of statistical and other quantitative approaches in the food industry