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1 – 10 of 111
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.

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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

Article
Publication date: 28 October 2022

Ashutosh Samadhiya, Rajat Agrawal, Sunil Luthra, Anil Kumar, Jose Arturo Garza-Reyes and Deepak Kumar Srivastava

The purpose of this research is to establish a conceptual model to understand the impact of Total Productive Maintenance (TPM) and Industry 4.0 (I4.0) on the transition of…

Abstract

Purpose

The purpose of this research is to establish a conceptual model to understand the impact of Total Productive Maintenance (TPM) and Industry 4.0 (I4.0) on the transition of a Circular Economy (CE). Also, the paper explores the combined impact of TPM, I4.0 and CE on the sustainability performance (SP) of manufacturing firms.

Design/methodology/approach

The conceptual model is proposed using the dynamic capability view (DCV) and empirically validated by partial least squares-structural equation modelling (PLS-SEM) using 304 responses from Indian manufacturing firms.

Findings

The results suggest that I4.0 positively impacts TPM, CE and SP, also showing TPM's positive impact on CE and SP. In addition, CE has a positive influence on the SP of manufacturing firms. Furthermore, CE partially mediates the relationship between I4.0 and SP with TPM and SP. The study also identifies TPM, I4.0 and CE as a new bundle of dynamic capabilities to deliver SP in manufacturing firms.

Originality/value

The present research adds to the knowledge and literature on DCV by identifying the importance of CE in the settings of I4.0 and TPM, especially in the context of sustainability. Also, the current study offers a new set of dynamic capabilities and provides some significant future recommendations for researchers and practitioners.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

Keywords

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

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

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. 35 no. 2
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 20 June 2022

Luis Alejandro Gólcher-Barguil, Simon Peter Nadeem, Jose Arturo Garza-Reyes, Ashutosh Samadhiya and Anil Kumar

Equipment performance helps the manufacturing sector achieve operational and financial improvements despite process variations. However, the literature lacks a clear index…

Abstract

Purpose

Equipment performance helps the manufacturing sector achieve operational and financial improvements despite process variations. However, the literature lacks a clear index or metric to quantify the monetary advantages of enhanced equipment performance. Thus, the paper presents two innovative monetary performance measures to estimate the financial advantages of enhancing equipment performance by isolating the effect of manufacturing fluctuations such as product mix price, direct and indirect characteristics, and cost changes.

Design/methodology/approach

The research provides two measures, ISB (Improvement Saving Benefits) and IEB (Improvement Earning Benefits), to assess equipment performance improvements. The effectiveness of the metrics is validated through a three stages approach, namely (1) experts' binary opinion, (2) sample, and (3) actual cases. The relevant data may be collected through accounting systems, purpose-built software, or electronic spreadsheets.

Findings

The findings suggest that both measures provide an effective cost–benefit analysis of equipment performance enhancement. The measure ISB indicates savings from performance increases when equipment capacity is greater than product demand. IEB is utilised when equipment capacity is less than product demand. Both measurements may replace the unitary cost variation, which is subject to manufacturing changes.

Practical implications

Manufacturing businesses may utilise the ISB and IEB metrics to conduct a systematic analysis of equipment performance and to appreciate the financial savings perspective in order to emphasise profitability in the short and long term.

Originality/value

The study introduces two novel financial equipment performance improvement indicators that distinguish the effects of manufacturing variations. Manufacturing variations cause cost advantages from operational improvements to be misrepresented. There is currently no approach for manufacturing organisations to calculate the financial advantages of enhancing equipment performance while isolating production irregularities.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

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

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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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

Article
Publication date: 7 June 2022

Suwarna Shukla, Rohit Kapoor, Narain Gupta, Jose Arturo Garza-Reyes and Vikas Kumar

Theorising from a resource-based view perspective, the intersection of supply chain management and the use of information technology (IT) has been investigated in this…

Abstract

Purpose

Theorising from a resource-based view perspective, the intersection of supply chain management and the use of information technology (IT) has been investigated in this study. This paper aims to investigate supply chain performance (SCP) as an essential outcome of the use of IT and explores the effect of supply chain collaboration (SCC) on SCP. In addition, volume uncertainty (VU) has been explored and tested to establish whether various associated uncertainties can be mitigated when the use of IT is involved.

Design/methodology/approach

A sample of 121 senior executives from agri-tech firms was collected by travelling and meeting the executives in person in various states of India. Structural equation modelling was used to test the hypothesized relationship of VU to SCP via the use of IT and SCC.

Findings

The results show that VU significantly impacts SCC via the use of IT and SCP via SCC. The use of IT positively and significantly impacts SCP via SCC.

Practical implications

Witnessing the potential benefits of the emerging use of IT in the uncertainty reduction as reported in this study, agri-tech firms operating in emerging rural and agricultural economies can enhance SCC to improve SCP.

Social implications

This study unfolds how risks in agricultural supply chains (ASCs) sourced because the VU can be mitigated through the use of IT and SCC to influence SCP in rural agricultural and developing economies.

Originality/value

VU at agri-tech firms and farmers is a ground reality that has led to an inability to plan and prepare, resulting in wastages and disruptions in ASCs and farmers’ struggles.

Details

Supply Chain Management: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1359-8546

Keywords

1 – 10 of 111