scholarly journals Análise do Uso do Pensamento Estatístico e de Técnicas Estatísticas em Empresas Industriais do Estado de São Paulo

Author(s):  
Heitor Alves Santos ◽  
José Carlos Toledo ◽  
Adriana Barbosa Santos ◽  
Fabiane Letícia Lizarelli

Programas de melhoria como o Lean Manufacturing, Total Quality Management, Seis Sigma (SS), Lean Seis Sigma (LSS) e Total Productive Maintenance, focam a melhoria de processos e, em diferentes níveis, são fundamentados no Pensamento Estatístico (PE) e em Técnicas Estatísticas (TE). Este artigo apresenta os resultados de uma pesquisa survey com 243 empresas industriais do Estado de São Paulo, com objetivo de analisar o uso do PE e de TE em empresas que adotam esses programas e os efeitos percebidos no desempenho operacional com esse uso. Foi Identificado um grupo de empresas consideradas mais avançadas, composto por 17% da amostra, nas quais o uso do PE e TE, no controle e melhoria de processos, é mais presente e com melhores resultados operacionais e benefícios percebidos. O uso de Programas SS e LSS, há mais de 5 anos, contribuiu para que essas empresas incorporassem mais intensamente os princípios do PE e as TE. Mas, na amostra total, apesar da ampla difusão de programas de melhoria que fazem uso de princípios e técnicas estatísticas, ainda são poucas as empresas em que esse uso estaria consolidado.

2019 ◽  
Vol 9 (1) ◽  
pp. 73-91 ◽  
Author(s):  
Brian J. Galli

This article examines the implementation of continuous improvement patterns and the various continuous improvement (CI) models used in an organization. Despite the size of an organization, the goal is to achieve the maximum profit by pursuing continuous improvement. There are certain models and theories used in organizations for this reason, which include total quality management, business process re-engineering, Six Sigma, and Lean manufacturing methodology. These models are not only concerned with customer retention and profit maximization, but they are also equally effective for the employee's wellbeing. Different methodologies used in continuous improvement processes will help industrial engineers simplify complex tasks by applying CI tools to different situations. However, the key is to understand what tools and models are appropriate for each application.


2016 ◽  
Vol 22 (4) ◽  
pp. 353-377 ◽  
Author(s):  
Sachin Modgil ◽  
Sanjay Sharma

Purpose The purpose of this paper is to investigate the impact of total productive maintenance (TPM) and total quality management (TQM) practices on operational performance and their inter-relationship. Design/methodology/approach The present study includes three main constructs, namely, TPM, TQM and operational performance of pharmaceutical industry. Under TPM, four constructs, namely, disciplined maintenance, information tracking, housekeeping and operator involvement has been considered with the help of literature. In TQM, four constructs, namely, quality data and reporting, product innovation, research and development (R&D) management and technology management has been considered. Out of 410 Indian pharmaceutical plants contacted for survey, 254 responses have been used in the study for analysis. The factor analysis, path model and structural equation modeling has been used to analyze the proposed framework. The results for alternate models has been studied, interpreted and reported. Finally the direct and indirect effect of TPM and TQM on operational performance has been tested and checked for proving and disproving the hypotheses. Findings TPM practices have a significant impact on plant-level operational performance. When TPM and TQM practices are coming together to achieve operational performance, then TPM is having strong influence on operational performance. TQM is having significant support from TPM to achieve operational performance. TPM impact TQM and TQM in turn helps to achieve operational performance. TPM practices impact significantly R&D, product innovation and technology management, whereas quality data and reporting is the least contributor toward TQM. This may help industry to understand implications of implementation of TPM and TQM to achieve plant-level operational performance. TPM will help to reduce the cost of quality in terms of reduced scrap and less defective products. Practical implications The present study provides the useful insights to practicing managers. In literature it has been mentioned that TQM helps in TPM implementation. In practice TPM plays a great role to achieve quality in processes and therefore in products. In turn quality products, with reduced work in process inventory, less defective products and reduced scrap helps to achieve the operational performance at plant level. TPM practices will help the organization to improve the pace of product innovation and improvement in productivity, which is critical to pharmaceutical industry. The continuous monitoring of TPM practices can help organizations to run day to day operations and maintenance requirement of each machine over a specified period of time. Originality/value The present study diagnoses the inter-dimensional linkage between TPM, TQM and operational performance. The pharmaceutical industry is complex system of advance equipment’s and processes. After human resources, the health of machines/equipment’s describe the strength of an organization. The machines require the regular maintenance to produce the products with desired specifications. The specifications in medicines and very tight, which can be achieved only if machines/testing equipment’s are updated and maintained regularly. The TPM practices will helps the plants to achieve the operational performance by having quality in processes.


2018 ◽  
Vol 9 (3) ◽  
pp. 374-398 ◽  
Author(s):  
Saumyaranjan Sahoo ◽  
Sudhir Yadav

PurposeTotal productive maintenance and total quality management are two lean manufacturing initiatives that are used by manufacturing plant managers to improve operations capabilities. The purpose of this paper is to investigate the effects of standalone lean practices and lean bundles on manufacturing business performance.Design/methodology/approachA quantitative approach was used. The survey data were drawn from 160 manufacturing organizations in India. The respondent companies were grouped on the basis of the duration of lean production in operation and then classified based on the profile of their operations strategy. The approach, based on comparative assessment between standalone lean practices and lean bundles, has been directed toward justification of lean bundles for its support to competitive manufacturing in the context of the Indian manufacturing sector.FindingsThe paper establishes the long-term effects of lean bundles in significantly improving manufacturing business performance as compared to standalone lean practices. Further findings of the study revealed the significance of the duration of lean production in operation in achieving higher levels of manufacturing business performance.Research limitations/implicationsThe study is cross-sectional in nature. It would be interesting to test the analytical framework adopted for this study for more industries and in different countries. The use of subjective measures in survey questionnaire is also another limitation of the study.Practical implicationsThis study offers clear implications for practitioners, proving that they should give higher emphasis on the implementation of lean bundles using total productive maintenance and total quality management practices together, to prioritize their product, production and business strategies, to achieve sustainable competitive advantage.Originality/valueThis paper empirically examines and evaluates the effect of lean practices and bundles in the context of medium- and large-sized manufacturing industries in India. Besides, there are very few studies that comparatively assess the differences in performance contribution of various lean operational strategies considering duration of implementation of lean. Also, the theoretical contribution of the study establishes the essence of integrating total productive management and total quality management for attaining world class manufacturing is of high value.


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