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Article
Publication date: 2 February 2018

Jose Arturo Garza-Reyes

The purpose of this paper is to present a systematic approach to conduct a diagnosis of the current status of a company’s quality management systems (QMS) and business processes.

Abstract

Purpose

The purpose of this paper is to present a systematic approach to conduct a diagnosis of the current status of a company’s quality management systems (QMS) and business processes.

Design/methodology/approach

The approach proposed is based upon the assessment of the maturity level of a company’s QMS, for which a “maturity diagnostic instrument” is also proposed, a self-assessment exercise using a business excellence model and a first-party quality audit.

Findings

The integration of a QMS’ maturity assessment, a self-assessment exercise and a quality audit may provide a more thorough evaluation of various company’s systems and operations. This paper provides organisations, and their managers, with a systematic approach to help them understand better the current performance of their QMSs and business processes.

Originality/value

This paper’s main contribution consists in the proposal of a novel approach for organisation to measure and understand the status of their QMS and business processes. Subsequently, better management decisions to improve a company’s operations can be taken.

Details

Business Process Management Journal, vol. 24 no. 1
Type: Research Article
ISSN: 1463-7154

Keywords

Abstract

Details

Journal of Manufacturing Technology Management, vol. 30 no. 3
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 6 March 2017

Nashmi Chugani, Vikas Kumar, Jose Arturo Garza-Reyes, Luis Rocha-Lona and Arvind Upadhyay

The academic literature and research lines exploring the effect of quality improvement methods on environmental performance still remain in early stages. The purpose of…

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Abstract

Purpose

The academic literature and research lines exploring the effect of quality improvement methods on environmental performance still remain in early stages. The purpose of this paper is therefore to investigate, through a systematic review of the existing academic literature, the environmental (green) impact of using quality and operations improvement methods such as Lean, Six Sigma and Lean Six Sigma. This includes the impact on energy saving and the usage of natural resources.

Design/methodology/approach

This study follows a systematic literature review approach through which it analyses research papers published in top 16 operations and quality management journals. No specific time frame was established, but a set of keywords were used to short-list the articles. A sample of 70 articles was finally short-listed and analysed to provide a discussion on environmental concerns related to Lean, Six Sigma and Lean Six Sigma.

Findings

The comprehensive review of short-listed articles indicates that both Lean and Six Sigma can be considered effective methods to support the conservation of resources, combat global warming and saving energy. Various scholars provide evidence of this, and as such, organisations should not only consider these methods to manage quality and improve operational performance but also meet environmental regulations. A set of research questions that demands further investigation has also been proposed based on the findings of this research.

Research limitations/implications

This study is limited to a sample of 70 articles collected from top 16 operations and quality management journals. The search of journals is also limited to a set of key words (“Lean”, “Green”, “Six Sigma”, “environment”, “sustainable” and “sustainability”) used to short-list the sample size.

Practical implications

The study shows that organisations can consider the adoption of Lean, Six Sigma and Lean Six Sigma to meet environmental regulations, save costs and also meet quality management standards. This will contribute in helping organisations to formulate more effective and inclusive strategies which do not only consider the quality and operational dimensions but also the environmental dimension.

Originality/value

Literature exploring the environmental/green impact of quality management methods commonly used in industry is limited. There is also a lack of studies aiming to investigate the green impact of Lean and Six Sigma in top operations and quality management journals. The study focusing on investigating the green impact of Lean, Six Sigma and Lean Six Sigma methods altogether is also a research first of its kind.

Details

International Journal of Lean Six Sigma, vol. 8 no. 1
Type: Research Article
ISSN: 2040-4166

Keywords

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Article
Publication date: 21 February 2020

Gonzalo Maldonado-Guzmán and Jose Arturo Garza-Reyes

Eco-innovation is a relatively recent construct in the literature, which nowadays more and more researchers and academics consider as one of the strategies that generate a…

Abstract

Purpose

Eco-innovation is a relatively recent construct in the literature, which nowadays more and more researchers and academics consider as one of the strategies that generate a higher level of sustainable and business performance. However, little is known about the influence of eco-innovation practices on sustainable performance and business performance, particularly in the automotive and auto parts industry. Therefore, this paper aims to fill this knowledge gap and explore the aforementioned interdependence.

Design/methodology/approach

The influence of eco-innovation practices on sustainable performance and business performance is investigated through a research framework consisting of 5 constructs, 25 items and 6 hypotheses derived from an extensive review of the literature. A self-administered questionnaire was distributed to 460 companies in the automotive and auto parts industry in Mexico. The data were analyzed through a confirmatory factor analysis, descriptive statistics and structural equation modeling.

Findings

The results obtained indicated that eco-innovation practices have a positive influence on both sustainable performance and business performance in the automotive and auto parts industry.

Originality/value

This paper provides further insightful evidence of the influence of eco-innovation practices on sustainable performance and business performance, particularly in the automotive and auto parts industry.

Details

International Journal of Innovation Science, vol. 12 no. 1
Type: Research Article
ISSN: 1757-2223

Keywords

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Article
Publication date: 8 January 2018

Jose Arturo Garza-Reyes, Ioannis E. Betsis, Vikas Kumar and Moh’d Anwer Radwan Al-Shboul

The purpose of this paper is to assess the quality practices of European pharmaceutical manufacturers to determine the level of readiness of this industrial sector to…

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Abstract

Purpose

The purpose of this paper is to assess the quality practices of European pharmaceutical manufacturers to determine the level of readiness of this industrial sector to implement and/or sustain lean manufacturing (LM).

Design/methodology/approach

An assessment framework developed by Al-Najem et al. (2013) was adapted to evaluate how ready European pharmaceutical manufacturers are to implement and/or sustain LM. Therefore, the lean readiness (LR) level of these organisations was assessed through six quality practices related to LM. These included: processes, planning and control, human resources, top management and leadership, customer relations, and supplier relations. One research question and three hypotheses were formulated and tested using a combination of descriptive statistics and non-parametric Mann-Whitney tests. Data were collected through a survey questionnaire distributed to 310 European pharmaceutical manufacturers and responded by 37 of these organisations.

Findings

Overall, the results of this study indicate an inadequate level of LR for the participating firms. Simultaneously, it was concluded that factors such as company size, type of relationships with suppliers and ISO 9000 certification do not have an effect on the quality practices, and hence LR level, of European pharmaceutical manufacturing organisations.

Practical implications

This study provides crucial information regarding the LR level of European pharmaceutical manufacturers, which can now be aware of the areas in their practices that require further improvement towards a successful lean journey. Simultaneously, organisations in the pharmaceutical sector that intend to implement LM can consider the results of this study and evaluate their readiness level. Managers can, therefore, refer to this research and use it as a platform to take better decisions regarding what quality aspects of their operations need to be enhanced to successfully deploy or sustain a lean strategy.

Originality/value

This research is one of the very few studies that have focussed on evaluating whether the European pharmaceutical manufacturing industry is ready to successfully implement or sustain LM. Therefore, this research expands the limited existent body of knowledge of LM in this industry.

Details

International Journal of Productivity and Performance Management, vol. 67 no. 1
Type: Research Article
ISSN: 1741-0401

Keywords

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Article
Publication date: 6 May 2021

Anbesh Jamwal, Rajeev Agrawal, Monica Sharma, Anil Kumar, Vikas Kumar and Jose Arturo Arturo Garza-Reyes

The role of data analytics is significantly important in manufacturing industries as it holds the key to address sustainability challenges and handle the large amount of…

Abstract

Purpose

The role of data analytics is significantly important in manufacturing industries as it holds the key to address sustainability challenges and handle the large amount of data generated from different types of manufacturing operations. The present study, therefore, aims to conduct a systematic and bibliometric-based review in the applications of machine learning (ML) techniques for sustainable manufacturing (SM).

Design/methodology/approach

In the present study, the authors use a bibliometric review approach that is focused on the statistical analysis of published scientific documents with an unbiased objective of the current status and future research potential of ML applications in sustainable manufacturing.

Findings

The present study highlights how manufacturing industries can benefit from ML techniques when applied to address SM issues. Based on the findings, a ML-SM framework is proposed. The framework will be helpful to researchers, policymakers and practitioners to provide guidelines on the successful management of SM practices.

Originality/value

A comprehensive and bibliometric review of opportunities for ML techniques in SM with a framework is still limited in the available literature. This study addresses the bibliometric analysis of ML applications in SM, which further adds to the originality.

Details

Journal of Enterprise Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0398

Keywords

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Article
Publication date: 5 June 2017

Moh’d Anwer Radwan Al-Shboul, Kevin D. Barber, Jose Arturo Garza-Reyes, Vikas Kumar and M. Reza Abdi

The purpose of this paper is to theorise and develop seven dimensions (strategic supplier partnership, level of information sharing, quality of information sharing…

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5421

Abstract

Purpose

The purpose of this paper is to theorise and develop seven dimensions (strategic supplier partnership, level of information sharing, quality of information sharing, customer service management, internal lean practices, postponement and total quality management) into a supply chain management (SCM) practices (SCMPs) construct and studies its causal relationship with the conceptualised constructs of supply chain performance (SCP) and manufacturing firms’ performance (MFP). The study also explores the causal relationship between SCP and MFP.

Design/methodology/approach

Data were collected through a survey questionnaire responded by 249 Jordanian manufacturing firms. The relationships proposed in the developed theoretical framework were represented through three hypotheses: H1 – there is a significant relationship between SCMPs and SCP; H2 – there is a significant relationship between SCMPs and MFP; and H3 – there is a significant relationship between SCP and MFP. Linear regression, ANOVA and Pearson correlation were used to test the hypotheses. The results were further validated using structural equation modelling.

Findings

The results indicate that SCMPs have a positive effect on SCP (H1), which in turn also positively affect MFP (H3). Despite this intermediary positive effect of SCMP on MFP through SCP, the study also suggests that SCMPs have a direct and positive effect on MFP (H2).

Practical implications

This study provides hard evidence indicating that higher levels of SCMPs can lead to enhanced supply chain and firms’ performance. It also provides SC managers of manufacturing firms with a multi-dimensional operational measure of the construct of SCMPs for assessing the comprehensiveness of the SCMPs of their firms.

Originality/value

This study is among the very first SCM researches conducted on the Jordanian manufacturing sector, particularly, in relation to the practices that manufacturing firms in this country need to adopt to make their supply chains a solid competitive vehicle for their development. The results have broader implications for all manufacturing companies, particularly in developing economies where the growth of manufacturing and the development of integrated supply chains are key stages in economic development.

Details

Journal of Manufacturing Technology Management, vol. 28 no. 5
Type: Research Article
ISSN: 1741-038X

Keywords

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Article
Publication date: 2 July 2020

Ricardo Belinski, Adriana M.M. Peixe, Guilherme F. Frederico and Jose Arturo Garza-Reyes

Industry 4.0 has been one of the most topics of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects…

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1075

Abstract

Purpose

Industry 4.0 has been one of the most topics of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0's initiatives as well as for the deployment of new research works. Considering “organizational learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between organizational learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well.

Design/methodology/approach

This study is based on a systematic literature review that covers Industry 4.0 and organizational learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using data basis Web of Science and Google Scholar. Also, NVivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research.

Findings

Nine dimensions were identified between organizational learning and Industry 4.0. These include management, Industry 4.0, general industry, technology, sustainability, application, interaction between industry and the academia, education and training and competency and skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage learning in Industry 4.0's programs. They are: learning development, Industry 4.0 structure and technology Adoption.

Research limitations/implications

Even though there are relatively few publications that have studied the relationship between organizational learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches.

Practical implications

This article identifies the thematic dimensions relative to Industry 4.0 and organizational learning. The understanding of this relation has a relevant contribution to professionals acting in the field of organizational learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organizations.

Originality/value

This article is unique for filling a gap in the academic literature in terms of understanding the relation between organizational learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.

Details

Benchmarking: An International Journal, vol. 27 no. 8
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 5 May 2020

Henrique Guilherme da Silva, João Carlos Espíndola Ferreira, Vikas Kumar and Jose Arturo Garza-Reyes

The purpose of this research was to develop new sustainability indicators consistent with the sand mould casting industry, through benchmarking of cleaner production (CP)…

Abstract

Purpose

The purpose of this research was to develop new sustainability indicators consistent with the sand mould casting industry, through benchmarking of cleaner production (CP), in order to identify the levels of practice and performance of companies of the casting sector. In addition, a lean manufacturing checklist was specified in order to verify the presence of lean manufacturing techniques employed to eliminate waste towards CP. No previous work was found in the literature that attempts to assess practices and performance of companies performing sand mould casting (a significantly polluting manufacturing process) in the context of CP and lean manufacturing.

Design/methodology/approach

For the application of this benchmarking, nine companies from the sand mould casting sector were studied, where the profile of each company was analysed through eight variables and 47 indicators. Data was obtained through face-to-face visits and questionnaire application in the companies, and the data was analysed both quantitatively and qualitatively.

Findings

The results obtained were the diagnosis of companies' practices and performance resulting from their position in the benchmarking charts, as well as the identification of the areas in which companies should implement improvements aiming at achieving CP.

Research limitations/implications

This research was developed specifically for sand mould casting companies, and each process has its own characteristics

Practical implications

14 companies were invited to participate in this survey, but nine companies agreed to participate. Unfortunately, there were companies that declined to participate in the survey.

Originality/value

It is important to diagnose casting companies regarding CP practices, performance and deployment potential. Thus, important negative issues in the company can be identified, and with this information, they can develop actions focussed on cases that need more attention. In addition, this work contributes to evaluate the relationship and efficiency of improvement actions developed by companies in the context of both lean manufacturing and CP, aiming to reduce or eliminate the environmental impact. The improvement of practices and performance of a company regarding CP is considered to be beneficial to supply chain management in the context of sustainability, as the other participating companies are likely to seek ways to reduce environmental impact, and the diagnostics provided by this work may also be used by those companies.

Details

Management of Environmental Quality: An International Journal, vol. 31 no. 5
Type: Research Article
ISSN: 1477-7835

Keywords

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Article
Publication date: 10 June 2019

Nikolaos Liakos, Vikas Kumar, Siwarit Pongsakornrungsilp, Jose Arturo Garza-Reyes, Bhumika Gupta and Pimlapas Pongsakornrungsilp

Circular economy (CE) has evolved as a result of the growing environmental awareness, environmental legislation and the need for social responsibility. However, awareness…

Abstract

Purpose

Circular economy (CE) has evolved as a result of the growing environmental awareness, environmental legislation and the need for social responsibility. However, awareness levels of CE are not as high as expected and practices are further behind than they should be, with a significant lack of research around the subject in the literature. Therefore, the purpose of this paper is to examine the current state of awareness levels and the practices around CE in manufacturing firms. Moreover, the study aims to empirically validate one of the earlier proposed CE models.

Design/methodology/approach

The study adopts a quantitative survey questionnaire based approach. More than 500 people from various manufacturing organisations were contacted directly over a 40-day long sampling process through the FAME database, personal contacts and LinkedIn. The survey resulted in 103 completed responses. Given the exploratory nature of the study, the data were mainly analysed using descriptive statistics. To validate the CE model, a correlation analysis was also conducted.

Findings

The research findings show that with the growing emphasis on CE across the globe by governing bodies, firms are becoming more aware of CE practices. The analysis also shows some useful insights on the state of each of the pillars (economic benefits, environmental impact and resource scarcity) of CE. The findings also indicate that the environmental impact pillar of CE is at a more developed state than the other two pillars which are, mostly, in a research state.

Research limitations/implications

The study provides manufacturing firms with a thorough understanding of the state of CE practices and importance of its successful implementation. The findings of the study advocates consideration of all three pillars of CE by managers as a guide to plan for an efficient strategy around CE implementation. Moreover, our study adds to existing efforts by the academic community to raise the awareness towards CE practice among all relevant stakeholders. The findings of this study are based on the responses from a limited 103 survey responses from manufacturing firms.

Originality/value

This study adds to the very limited empirical literature on CE awareness and practices in manufacturing firms. This is also one of the first studies attempting to empirically validate an existing CE model.

Details

Journal of Enterprise Information Management, vol. 32 no. 4
Type: Research Article
ISSN: 1741-0398

Keywords

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