Advanced manufacturing technologies, quality management practices, and manufacturing performance in the southern cone of Latin America

2015 ◽  
Vol 13 (2) ◽  
pp. 187-210 ◽  
Author(s):  
Alejandro Bello Pintado ◽  
Ricardo Kaufmann ◽  
Javier Merino Diaz-de-Cerio
Keyword(s):  
Economic Growth ◽  
Latin America ◽  
Quality Management ◽  
Management Practices ◽  
Advanced Manufacturing ◽  
Manufacturing Companies ◽  
Content Type ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Performance ◽  
Manufacturing Technologies

Purpose – This paper aims at providing new evidence on the relationship between advanced manufacturing technologies (AMTs) and quality management (QM) practices on manufacturing performance. Design/methodology/approach – The expected relationship between both AMTs and QM practices on manufacturing performance are tested using a unique sample of 301 manufacturing companies from Argentina (151) and Uruguay (150), employing at least 20 workers, which have been assessed through personal interviews to plant managers and engineers. Findings – Findings evidence the complementarities between QM practices and AMTs to explain enhanced manufacturing performance. Although QM practices have a direct effect on manufacturing performance, the effects of AMTs are significant only in the presence of QM practices. Research limitations/implications – First limitation of the paper is the cross-sectional character of the data analysis. Secondly, the paper cannot avoid the disadvantages inherent in research based on surveys, especially when the answers are of a subjective nature. In addition, the information used is based on the perceptions of managers. Practical implications – Industry practitioners should focus on the implementation of innovation policies that promote long-term economic growth, creating more favorable and better technological and infrastructure institutional conditions to lead to substantial improvements in this economic growth. Originality/value – The paper provides evidence on the interdependence between QM practices and AMTs’ adoption to improve performance of manufacturing companies in the south of Latin America, something that has received very little attention up today. Thus, the paper contributes also to the international debate on differences observed in the implementation of manufacturing innovations in different regions.

scholarly journals Managing emergency situations with lean and advanced manufacturing technologies: an empirical study on the Rumbia typhoon disaster

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaodie Pu ◽  
Meng Chen ◽  
Zhao Cai ◽  
Alain Yee-Loong Chong ◽  
Kim Hua Tan
Keyword(s):  
Financial Performance ◽  
Organizational Performance ◽  
Operations Management ◽  
Advanced Manufacturing ◽  
Manufacturing Companies ◽  
Content Type ◽  
Emergency Situations ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies ◽  
The Impact

PurposeThis study aims to examine the impact of lean manufacturing (LM) on the financial performance of companies affected by emergency situations. It additionally explores the role of advanced manufacturing technologies (AMTs) in complementing LM to enhance financial performance in emergency and non-emergency situations.Design/methodology/approachBoth survey and archival data were collected from 219 manufacturing companies in China. With longitudinal data collected before and after an emergency situation (i.e. Typhoon Rumbia), regression analysis was conducted to investigate the effects of LM and AMTs on financial performance in different contexts.FindingsOur results reveal an inverted U-shaped relationship between LM and financial performance in the context of emergency. We also found that AMTs exerted a positive moderation effect on the inverted U-shaped relationship, indicating high levels of AMTs that mitigated the inefficiency of LM in coping with supply chain emergencies.Research limitations/implicationsThrough simultaneous investigation of LM and AMTs as bundles of practices and their fit with different contexts, this study takes a systems approach to fit that advances the application of contingency theory in the Operations Management literature to more complex patterns of fit.Originality/valueThis study illuminates how AMTs support LM practices in facilitating organizational performance in different contexts. Specifically, this study unravels the interaction mechanisms between AMTs and LM in influencing financial performance in emergency and non-emergency situations.

Impact of supply chain quality management practices on operational performance: empirical evidence from manufacturing companies in Vietnam

2019 ◽  
Vol 24 (6) ◽  
pp. 855-871 ◽  
Author(s):  
Anh Chi Phan ◽  
Hao Anh Nguyen ◽  
Phuong Dinh Trieu ◽  
Ha Thu Nguyen ◽  
Yoshiki Matsui
Keyword(s):  
Supply Chain ◽  
Quality Management ◽  
Management Practices ◽  
Operational Performance ◽  
Internal Quality ◽  
Manufacturing Companies ◽  
Quality Cost ◽  
Content Type ◽  
Future Studies ◽  
Quality Management Practices

Purpose This study aims to investigate the effect of supply chain quality management on operational performance in Vietnamese manufacturing companies. Design/methodology/approach Questionnaire survey is conducted to collect data from Vietnamese manufacturing companies in the electronic/electric industry. Collected data were analyzed by using correlation analysis and hierarchical regression analysis. Findings This study points out the current situation of implementing supply chain quality management practices in Vietnamese manufacturing companies which are more focused on internal quality management practices than upstream and downstream quality management practices. Correlation and regression analyses that demonstrate the significant linkage between supply chain quality management practices and operational performance are confirmed in this study. Upstream and downstream quality management are found to be the significant predictor for high performance on quality, cost and delivery. Research limitations/implications This study has some limitations that can be addressed in future studies. The first limitation is the relatively small sample size due to lack of time and resources. These constraint can be overcome in future works by collecting more data in diverse countries and industries to re-examine the framework. Furthermore, larger sample will allow researchers to apply other statistical methods such as path analysis and structural equation modelling, which would provide interesting results. Another limitation is that the collected data in this paper mainly rely on perceptions of the respondents, which may cause individual bias in analysis. To reduce this type of bias, both subjective and objective measurement of scales, especially performance measures, can be used in future studies. Practical implications This study provides empirical evidences that practitioners can use to improve a specific type of performance, especially in the context of emerging economies. In a turbulent and unpredictable business environment, it is emphasized that quality management should be extended at supply chain level to utilize the capabilities of external partners. In Vietnamese manufacturing firms, implementation of such practices as information technology links, information sharing, supplier involvement and customer involvement would lead to high level of operational performance. Originality/value Supply chain management and quality management are two fields of study that have gained much attention of researchers. However, the concept of supply chain quality management as well as its impact on business performance have not been fully studied, especially in context of a developing country. Through extensive literature review, this study proposes and tests an analytical framework that characterizes supply chain quality management into three elements: internal quality management, upstream quality management and downstream quality management. Subsequently, their impact on quality, cost and delivery are analyzed to provide better understanding of supply chain quality management in Vietnamese context.

Justifying AMTs: Matching Tools and Technologies

2014 ◽  
Vol 1039 ◽  
pp. 562-568
Author(s):  
Natalia Iakymenko ◽  
Erlend Alfnes ◽  
Maria Kollberg Tomassen
Keyword(s):  
Global Markets ◽  
Successful Implementation ◽  
Advanced Manufacturing ◽  
Manufacturing Companies ◽  
Research Directions ◽  
Competitive Position ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies ◽  
Different Levels

Manufacturing companies rely on advanced manufacturing technologies (AMT) in order to increase their competitive position in global markets. Successful implementation of AMT depends greatly on justification tools. The availability of a large amount of tools with varying complexity makes it difficult for managers to choose the most appropriate ones. This study investigates application of various justification tools for different levels of AMT integration. The results are presented in a framework for AMT justification tools selection that could be used by managers. The research also suggests further research directions.

scholarly journals Value and barriers in the creation of intellectual property in advanced manufacturing: a country comparison

2019 ◽  
Vol 34 (3) ◽  
pp. 651-663
Author(s):  
Jon Charterina ◽  
Andrés Araujo
Keyword(s):  
Advanced Manufacturing ◽  
Enabling Technology ◽  
Content Type ◽  
Research Institutes ◽  
Advanced Manufacturing Technologies ◽  
The Us ◽  
Geographic Environment ◽  
Peripheral Areas ◽  
Manufacturing Technologies ◽  
Business To Business

PurposeThe purpose of this paper is to determine to what extent small sized and periphery-located firms compensate the comparative disadvantages of big centrally located firms, through patent ownership agreements with other agents, notably research institutes.Design/methodology/approachThe authors develop an empirical study of patents from two completely different economic areas, a central and a peripheral one, represented by Germany and Spain, respectively, in the domain of the Key Enabling Technology (KET) of advanced manufacturing technologies in robotics and automation. Comparing the population of 211 Spanish patents granted with a random sample of 500 German patents, from the files of the US Patent and Trademark Office, the authors obtain and test a series of logistic regression functions taking the predicted possibilities to develop patents with more citations, as a proxy for their value.FindingsWhereas big companies from central locations do not obtain more heavily cited patents from sharing their R&D activity with other firms or research institutes, smaller manufacturing firms in peripheral areas, namely, Spain, may find this advantageous. Additionally, patents containing fewer cited articles and citations of previous patents, tend to be cited more frequently. Finally, this same outcome is also observed with patents showing shorter time between the application and grant.Originality/valueTo the best of the authors’ knowledge, this is the first study on patent value which examines the KET of advanced manufacturing technologies in robotics and automation, comparing a central to a peripheral geographic environment, and determining the number, diversity and size of patent assignees. The results prove relevant in general for manufacturing businesses, especially in the Machine-Tool and machinery producing industry. Overwhelmingly, these firms tend to be SMEs basing their marketing activity entirely on a Business-to-Business (B2B) focus, and facing serious obstacles for R&D activity.

A double-DEA framework to support decision-making in the choice of advanced manufacturing technologies

2018 ◽  
Vol 56 (2) ◽  
pp. 488-507 ◽  
Author(s):  
Corrado lo Storto
Keyword(s):  
Decision Making ◽  
Manufacturing Systems ◽  
Composite Indicator ◽  
High Order ◽  
The Body ◽  
Advanced Manufacturing ◽  
Content Type ◽  
Advanced Manufacturing Technologies ◽  
Dea Models ◽  
Manufacturing Technologies

Purpose The purpose of this paper is to propose a methodological framework that combines several data envelopment analysis (DEA) models to deal with the problem of evaluating and ranking advanced manufacturing technologies (AMTs) without introducing any subjectivity in the analysis. Design/methodology/approach The methodology follows a two-phase procedure. First, the relative efficiency of every technology is calculated by implementing different DEA cross-efficiency models generating the same number of high-order indicators as efficiency vectors. Second, high-order indicators are used as outputs in a SBM-DEA super-efficiency model to obtain a comprehensive DEA-like composite indicator. Findings The framework is implemented to evaluate a sample of flexible manufacturing systems. Comparing it to other methods, results show that the methodology provides reliable information for AMTs selection and effective support to management decision-making. Originality/value This paper contributes to the body of knowledge about the utilization of DEA to select AMTs. The framework has several advantages: a discriminating power higher than the basic DEA models; no subjective judgment relative to weights necessary to aggregate single indicators and choice of aggregation function; no need to perform any transformation normalizing original data; independence from the unit of measurement of the DEA-like composite indicator; and great flexibility and adaptability allowing the introduction of further variables in the analysis.

Exploring the role of organizational learning activities in the quality management context

2017 ◽  
Vol 38 (3) ◽  
pp. 380-397 ◽  
Author(s):  
Seok-young Oh ◽  
K. Peter Kuchinke
Keyword(s):  
Organizational Learning ◽  
Quality Management ◽  
Competitive Advantage ◽  
Business Performance ◽  
Process Management ◽  
Management Practices ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Content Type ◽  
Business Outcomes

Purpose The purpose of this paper is to investigate the relationships between three quality management (QM) practices, leadership, people focus, and process management practices and organizational learning (OL) activities and business performance in Korean manufacturing businesses. Design/methodology/approach The study draws on 204 responses to a survey of Korean manufacturing companies listed on the Korea Composite Stock Price Index to test nine hypotheses with structural equation modeling (SEM). Findings The results from SEM show that leadership practices have a significant effect on people focus and process management practices, and that the three QM practices jointly influence OL. However, leadership, people focus, and process management practices do not have direct associations with business performance, but rather show statistically influence only via OL activities. The findings verify that OL has a mediating role in QM practices and business performance as a crucial resource that determines a firm’s competitive advantage. Originality/value An important implication of this study’s findings for managers or QM professionals is that learning takes place at multiple levels and is a crucial resource that determines a firm’s competitive advantage, bridging quality and business outcomes.

The impact of quality management practices on innovation: an empirical research study of Brazilian manufacturing companies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lillian Do Nascimento Gambi ◽  
Fabiane Letícia Lizarelli ◽  
Alex Ribeiro Rosa Junior ◽  
Harry Boer
Keyword(s):  
Quality Management ◽  
Management Practices ◽  
Partial Least Square ◽  
Innovation Performance ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Content Type ◽  
Innovation Practices ◽  
The Impact ◽  
Positive Effect

PurposeThe aim of this study is to investigate the effects of soft and hard quality management (QM) practices on innovation performance, considering innovation practices as a contextual variable mediating this relationship.Design/methodology/approachUsing data from 132 Brazilian manufacturing companies, partial least square–structural equation modeling (PLS–SEM) is employed to test if soft and hard QM practices, directly, affect innovation practices and, indirectly, innovation performance. This investigation also aims to identify whether the relationships are maintained regardless of the size of the company.FindingsThe results suggest that soft QM has a positive effect on hard QM. However, only soft QM, not hard QM, has a significant effect on innovation practices. Additionally, soft QM has a significant positive effect on innovation performance through innovation practices. Company size does not influence the relationships.Practical implicationsThe findings can help managers to adjust their managerial practices to enhance the effective impact of QM on innovation performance.Originality/valueThe previous literature presents conflicting results on the relationship between QM and innovation performance. Most studies have proposed a direct relationship between both constructs. This study considers innovation practices as a mediator in this relationship. Furthermore, this paper adds to the scarce literature reporting related studies conducted in developing countries.

Using Advanced Manufacturing Technologies Related to Industry 4.0

2020 ◽  
pp. 127-146
Author(s):  
Iztok Palčič ◽  
Borut Buchmeister ◽  
Robert Ojsteršek
Keyword(s):  
Industry 4.0 ◽  
Positive Impact ◽  
New Products ◽  
Advanced Manufacturing ◽  
Manufacturing Companies ◽  
Product Complexity ◽  
Complex Products ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies ◽  
Technological Intensity

This chapter deals with the use of advanced manufacturing technologies in Slovenian manufacturing companies in the light of Industry 4.0. The main objective of the chapter is to determine the adoption of technologies in manufacturing companies, and to analyse how selected technologies affect different company characteristics. The authors have analysed the differences in the use of technologies, depending on the company size, technological intensity, product complexity, ability to introduce new products, etc. Results are based on a sample of 118 Slovenian manufacturing companies, whose data were obtained through the 2018/19 European Manufacturing Survey edition. The results are presented with the use of descriptive statistics, and they show that the use of specific technologies in Slovenian manufacturing companies is quite diverse. They found out that the number of technologies used and the potential of their use have a positive impact on the product characteristic in terms of increasing the ability to manufacture complex products and to introduce new products to the market.

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