Browsing by Author "Garza-Reyes, Jose Arturo"

Now showing 1 - 11 of 11

Citation - WoS: 1
Citation - Scopus: 1
An exploratory study on the practice of operational excellence in the automotive industry in Morocco
(EMERALD GROUP PUBLISHING LTD, 2025) Yigit Kazancoglu; Jose Arturo Garza-Reyes; Mohammed Elgharbaoui; Chaymae Abbana Bennani; Garza-Reyes, Jose Arturo; Abbana Bennani, Chaymae; Kazancoglu, Yigit; Elgharbaoui, Mohammed
PurposeThis study aims to explore the implementation of operational excellence (OpEx) within the Moroccan automotive industry focusing on its perception adoption and integration into organizational structures.Design/methodology/approachThis research uses a qualitative exploratory design using semi-structured interviews with eight key experts from various ecosystems within the Moroccan automotive industry. A purposive expert sampling method was used to select participants with significant experience in OpEx ensuring a deep context-specific understanding of its implementation.FindingsThis study reveals that Moroccan automotive firms adopt OpEx practices in a phased structured manner beginning with foundational methodologies such as Lean manufacturing 5S and Kaizen before progressing to advanced tools like Six Sigma. The integration of these practices is typically supported by dedicated teams within engineering and production departments with some firms establishing specialized OpEx departments reporting directly to plant directors. While notable progress has been made in the adoption of OpEx significant challenges remain particularly regarding the technical expertise required for advanced methodologies like Six Sigma. Nevertheless strong support from international parent companies and Morocco's highly integrated automotive ecosystem has been identified as key enablers in accelerating the adoption of OpEx best practices.Research limitations/implicationsThe generalizability of this study is constrained by its focus on a specific industry and region. While the qualitative findings provide valuable insights into the Moroccan automotive sector further research is needed to broaden the scope across different industries and geographical contexts. Future studies could explore the application of OpEx practices in other developing economies or investigate the role of Industry 4.0 technologies in enhancing OpEx outcomes.Originality/valueThis study contributes to the limited body of research on OpEx implementation in developing economies offering empirical insights from the Moroccan automotive industry. The findings provide practical insights for industry practitioners and theoretical contributions toward understanding how OpEx practices can be adapted and scaled within the unique context of emerging economies.
Citation - WoS: 43
Citation - Scopus: 50
Analysing the adoption barriers of low-carbon operations: A step forward for achieving net-zero emissions
(Elsevier Ltd, 2023) Anil Kumar; Sunil Luthra; Sachin Kumar Kumar Mangla; Jose Arturo Garza-Reyes; Yigit Kazancoglu; Garza-Reyes, Jose Arturo; Kumar, Anil; Luthra, Sunil; Mangla, Sachin Kumar; Kazancoglu, Yigit
In November 2021 the 26th United Nations Climate Change Conference (COP26) was held in Glasgow UK the global leaders from nearly 200 countries stressed taking immediate action on the climate issue and how to ensure global net-zero emissions by 2030. It is possible to accelerate the transition to low-carbon energy systems the present study seeks to identify and analyse key barriers to Low Carbon Operations (LCO) in emerging economies. A critical literature review was undertaken to recognise the barriers linked to the adoption of LCO. To validate these barriers an empirical study with a dataset of 127 respondents from the Indian automobile industry was conducted. The validated barriers were analysed using Best Worst Method (BWM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) techniques. BWM is used to determine the priority ranking of barriers while the DEMATEL method is employed to elucidate the cause-effect inter-relationships among the listed barriers. The results suggest that ‘Economic’ is the most influential category of barriers followed by ‘Infrastructure’ and ‘Operational’. The results also show that the barriers ‘Economic’ ‘Environmental’ ‘Infrastructure’ and ‘Organizational Governance’ belong to the cause group. Some significant managerial implications are recommended to overcome these barriers and to assist firms in the successful adoption of LCO and achieving net-zero emissions. The work was carried out in the automotive industry in India but provides findings that may have wider applicability in other developing countries and beyond. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 21
Citation - Scopus: 26
Analyzing critical factors of strategic alignment between operational excellence and Industry 4.0 technologies in smart manufacturing
(Emerald Publishing, 2024) Melisa Ozbiltekin-Pala; Yigit Kazancoglu; Anil Kumar; Jose Arturo Garza-Reyes; Sunil Luthra; Ozbiltekin-Pala, Melisa; Garza-Reyes, Jose Arturo; Kumar, Anil; Luthra, Sunil; Kazancoglu, Yigit
Purpose: The manufacturing sector is highly competitive and operationally complex. Therefore the strategic alignment between operational excellence methodologies and Industry 4.0 technologies is one of the issues that need to be addressed. The main aim of the study is to determine the critical factors of strategic alignment between operational excellence methodologies and Industry 4.0 technologies for manufacturing industries and make comparative analyses between automotive food and textile industries in terms of strategic alignment between operational excellence methodologies and Industry 4.0 technologies. Design/methodology/approach: First determining the critical factors based on literature review and expert opinions these criteria are weighted and analytical hierarchy process is run to calculate the weights of these criteria. Afterward the best sector is determined by the grey relational analysis method according to the criteria for the three manufacturing industries selected for the study. Findings: As a result of AHP “Infrastructure for Right Methodology Techniques and Tools is in the first place” Organizational Strategy is in the second place while the third highest critical factor is “Capital Investment”. Moreover based on grey relational analysis (GRA) results the automotive industry is determined as the best alternative in terms of strategic alignment between operational excellence (OPEX) methodologies and I4.0 technologies. Originality/value: This study is unique in that it is primarily possible to obtain the order of importance within the criteria and to make comparisons between three important manufacturing industries that are important for the economies of the world. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 58
Citation - Scopus: 76
Behavioral factors on the adoption of sustainable supply chain practices
(Elsevier B.V., 2020) Anil Kumar; Md Abdul Moktadir; Syed Abdul Rehman Khan; Jose Arturo Garza-Reyes; Mrinal Tyagi; Yigit Kazancoglu; Khan, Syed Abdul Rehman; Moktadir, Md. Abdul; Garza-Reyes, Jose Arturo; Kumar, Anil; Tyagi, Mrinal; Kazançoğlu, Yiğit
Sustainable supply chain management (SSCM) has become a popular research topic among scholars as evidence suggests it has significantly contributed to achieve more environmentally conscious and socially responsible supply chains. Operational excellence (OE) on the other hand can be achieved by incorporating SSCM practices within existing supply chain operations. However due to human expertise involvement and commitment towards excelling at sustainable and operational performance the effective deployment of SSCM practices now depends on various human-based behavioral factors (BFs). Human behavior is dynamic in nature and hence has an effect on the implementation of SSCM practices. Nevertheless research on BFs in view of SSCM practices is limited. To fill this knowledge gap this study examines the nature of BFs for SSCM practices towards OE in supply chains particularly within the context of the footwear industry of Bangladesh. In the first phase the BFs were identified and determined through a literature review and empirical investigation. In the second phase the Hesitant Fuzzy DEMATEL method was used to establish the cause-effect relationships among the factors. The influence of group validation by experts and a literature survey along with managerial implications was discussed and explained in the third phase of the study. The results suggest that the factor ‘organization culture’ is the most influencing behavioral factor followed by ‘commitment from higher authority’. Both theoretical and practical contributions of the study are drawn from its findings helping footwear industry managers to more effectively adopt SSCM practices in the supply chain operations of their organizations to achieve OE. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 7
Citation - Scopus: 8
Decarbonised closed-loop supply chains resilience: examining the impact of COVID-19 toward risk mitigation by a fuzzy multi-layer decision-making framework
(Springer, 2024) Hannan Amoozad Mahdiraji; Fatemeh Yaftiyan; Jose Arturo Garza-Reyes; Seyed Hossein Razavi Hajiagha; Yigit Kazancoglu; Garza-Reyes, Jose Arturo; Mahdiraji, Hannan Amoozad; Razavi Hajiagha, Seyed Hossein; Kazancoglu, Yigit; Amoozad Mahdiraji, Hannan; Hajiagha, Seyed Hossein Razavi; Yaftiyan, Fatemeh
Today's primary challenges in supply chains (SCs) include considerable greenhouse gas emissions waste and disruptions. Addressing these requires the examination of three interconnected SC paradigms i.e. decarbonisation resilience and Closed-Loop SCs (CLSCs). This paper seeks to investigate and assess the criteria for decarbonised resilient CLSCs as influenced by the global pandemic specifically within the context of Iran's small and medium pharmaceutical enterprises employing a mixed-method approach. Initially a Systematic Literature Review was employed to identify a categorised list of decarbonised resilient CLSC criteria by determining the impact of COVID-19 on SCs. Afterwards the list was indigenised via the fuzzy-Delphi method. Two popular Fuzzy Multi-Criteria Decision-Making methods i.e. fuzzy Decision-Making Trial and Evaluation Laboratory and fuzzy Interpretive Structural Modelling-Matrix-based Multiplication Applied to a Classification (MICMAC) were then employed to investigate the finalised criteria. This paper has innovatively enhanced these methods by incorporating a multi-scenario analysis approach. The findings indicate that technological advancements issues related to market and communication and raw material markets significantly affect other criteria. Transportation and logistics are also crucial in reducing lead times waste and CO2 emissions. Two countermeasures are recommended for senior managers i.e. (i) the identification and application of suitable basic and advanced technologies across each SC process and (ii) engaging in a coevolutionary process beginning with SMEs' cooperation and collaboration towards their co-creation. The importance of regulatory bodies was also emphasised in devising effective policies to improve the markets for raw materials and finished products. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 23
Citation - Scopus: 28
Decision-making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA)
(Emerald Group Holdings Ltd., 2020) Muhittin Saǧnak; Yigit Kazancoglu; Yeşim Deniz Özkan-Özen; Jose Arturo Garza-Reyes; Garza-Reyes, Jose Arturo; Ozen, Yesim Deniz Ozkan; Sagnak, Muhittin; Kazancoglu, Yigit; Ozkan Ozen, Yesim Deniz
Purpose: The aim of the present study is to overcome some of the limitations of the FMEA method by presenting a theoretical base for considering risk evaluation into its assessment methodology and proposing an approach for its implementation. Design/methodology/approach: Fuzzy AHP is used to calculate the weights of the likelihood of occurrence (O) severity (S) and difficulty of detection (D). Additionally the prospect-theory-based TODIM method was integrated with fuzzy logic. Thus fuzzy TODIM was employed to calculate the ranking of potential failure modes according to their risk priority numbers (RPNs). In order to verify the results of the study in-depth interviews were conducted with the participation of industry experts. Findings: The results are very much in line with prospect theory. Therefore practitioners may apply the proposed method to FMEA. The most crucial failure mode for a firm's attention is furnace failure followed by generator failure crane failure tank failure kettle failure dryer failure and operator failure respectively. Originality/value: The originality of this paper consists in integrating prospect theory with the FMEA method in order to overcome the limitations naturally inherent in the calculation of the FMEA's RPNs. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 3
Citation - Scopus: 4
Integrating Lean Six Sigma with life cycle and value stream level of RAMI 4.0
(TAYLOR & FRANCIS LTD, 2024) Yesim Deniz Ozkan-Ozen; Jose Arturo Garza-Reyes; Yigit Kazancoglu; Ozkan-Ozen, Yesim Deniz; Garza-Reyes, Jose Arturo; Kazancoglu, Yigit
This study integrates the Lean Six Sigma (LSS) DMAIC (design measure analyze improve control) methodology with the Life Cycle and Value Stream Level of RAMI 4.0 by proposing a systematic structure that includes LSS 4.0 tools and techniques for each level. The fuzzy Entropy Weighting method is used to evaluate LSS 4.0 tools and techniques for each level and a sample implementation of the proposed structure is conducted in a high-technology electronics firm. The results indicated that the proposed structure effectively integrates the LSS and DMAIC methodology with the Life Cycle and Value Stream Level of RAMI 4.0. The results suggest that although the DMAIC methodology is applicable for each life cycle stage the most important approaches vary for each life cycle level. Therefore DMAIC implementation for each level should be conducted separately for each life cycle and LSS 4.0 tools and techniques should be chosen according to the specific needs. This article proposes a novel systematic structure that includes LSS 4.0 tools and techniques for each DMAIC stage and that can be used for LSS implementation in RAMI 4.0. The proposed structure will contribute to systemizing the complex structure of Industry 4.0 in the implementation phase of smart factories.
Citation - WoS: 14
Citation - Scopus: 16
Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach
(SPRINGER, 2023) Muruvvet Deniz Sezer; Melisa Ozbiltekin-Pala; Yigit Kazancoglu; Jose Arturo Garza-Reyes; Anil Kumar; Vikas Kumar; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Garza-Reyes, Jose Arturo; Kumar, Anil; Kazancoglu, Yigit; Kumar, Vikas
Nowadays providing information flow at every phase of a knowledge-based supply chain with technologies has become a vital issue due to rapid population growth globalisation and increases in demand in the supply chain. Knowledge-based supply chains have a critical role in increasing resilience in supply chain processes with emerging technologies. Thus it is necessary to determine the critical factors that increase SC resilience. Therefore this study aims to determine SC resilience improvement factors in knowledge-based supply chains and investigate the importance level of determining factors using the Graph Theory Matrix Approach. The results suggest that the most important supply chain resilience improvement factor is Adaptive Capacity (F3) followed by Product Prioritization (F9) and Flexibility (F1) respectively. This study is expected to benefit managers and policymakers as it provides a better understanding of critical SC resilience improvement factors that play a role in knowledge-based supply chains. In order to increase resilience in the supply chain system thinking and solutions should be encouraged by businesses to increase collaboration with stakeholders. Businesses and governments should provide collaborative long-term solutions for the uncertain environment to ensure a sustainable and resilient environment.
Citation - WoS: 4
Citation - Scopus: 6
Quality Assurance for Operating Room Illumination through Lean Six Sigma
(INT JOURNAL MATHEMATICAL ENGINEERING & MANAGEMENT SCIENCES-IJMEMS, 2021) Yucel Ozturkoglu; Yigit Kazancoglu; Muhittin Sagnak; Jose Arturo Garza-Reyes; Garza-Reyes, Jose Arturo; Ozturkoglu, Yucel; Kazancoglu, Yigit; Sagnak, Muhittin
Since every mistake made in the healthcare industry can cause permanent harm or even death some fundamental requirements should be considered when planning and designing operating rooms. Lighting is one of the most important ergonomic factors especially for operating rooms. This paper investigates the integration of the lean approach and six sigma in measuring the efficiency of LED technology which can also be regarded as a factor affecting the operating room efficiency. Measurement System Analysis (MSA) and Gage Control methods were applied to determine measurement variability in operating room illumination measurement process. Repeatability and reproducibility (%R&R) was found 12.89%. After calibration %R&R value was found 8.21% which implies that calibration helped reduce variability.
Citation - WoS: 15
Citation - Scopus: 15
The effect of green supply chain management practices on carbon-neutral supply chain performance: the mediating role of logistics eco-centricity
(EMERALD GROUP PUBLISHING LTD, 2024) Farheen Naz; Ashutosh Samadhiya; Anil Kumar; Jose Arturo Garza-Reyes; Yigit Kazancoglu; Vikas Kumar; Arvind Upadhyay; Upadhyay, Arvind; Garza-Reyes, Jose Arturo; Naz, Farheen; Samadhiya, Ashutosh; Kazancoglu, Yigit; Kumar, Anil; Kumar, Vikas
PurposeUsing the lens of the natural resource-based view (NRBV) theory this study investigates the effect of green supply chain management (GSCM) practices such as green manufacturing (GM) eco-design (ED) green purchasing (GP) and investment recovery (IR) on the carbon-neutral supply chain (CNSC) performance of firms through the mediating influence of logistics eco-centricity (LE).Design/methodology/approachA conceptual framework that hypothesizes the relationship between GSCM practices LE and the CNSC performance of firms is developed. Key GSCM practices are then identified using experts' opinions. Furthermore we collected responses from logistics companies to validate the conceptual framework using the partial least squares structural equation modeling (PLS-SEM) method.FindingsThrough this study we found that GSCM practices significantly improve a firm's CNSC performance and the relationships between GSCM practices and CNSC performance are positively mediated by LE.Practical implicationsThe implications of the study suggest that logistics managers can benefit from the findings of this study to comprehend the impact of various GSCM techniques on LE and CNSC from the viewpoint of the NRBV paradigm.Originality/valueThis research provides valuable perspectives for managers and supply chain (SC) practitioners in their quest for sustainable and environmentally responsible SC operations through an extensive and novel analysis of the connection between GSCM practices LE and CNSC performance.
Citation - WoS: 29
Citation - Scopus: 41
The role of agri-food 4.0 in climate-smart farming for controlling climate change-related risks: A business perspective analysis
(John Wiley and Sons Ltd, 2024) Yigit Kazancoglu; Çisem Lafci; Anil Kumar; Sunil Luthra; Jose Arturo Garza-Reyes; Yalcin Berberoglu; Garza-Reyes, Jose Arturo; Luthra, Sunil; Kumar, Anil; Lafci, Cisem; Berberoglu, Yalcin; Kazancoglu, Yigit
The impact of climate change including fires droughts and storms on natural resources and agricultural output is increasing. In addition to these problems resource depletion and greenhouse gas (GHG) emissions agriculture also contributes to global warming. To reduce the dangers of climate change farmers are using sustainable practices. This article aims to link agri-food 4.0 technology with climate-smart agriculture (CSA) to lessen the two-way interaction (both affecting and impacted) between the agricultural sector and global warming as well as dangers related to the agri-food business. In light of this information the research methodology of the paper is twofold. Initially related risks towards climate change and the CSA and agri-food 4.0 technologies to overcome these risks were determined through a literature review. Then risks and technologies are evaluated by adopting the TODIM (an acronym in Portuguese for Interactive and Multicriteria Decision Making) which is used for evaluating the criteria set with the related technologies to overcome climate change-related risks and provide a guiding map for academics and practitioners to eliminate risks associated with these climate change-related factors. According to the study's findings the highest-priority concerns in the agri-food industries that are connected to climate change include energy consumption food safety and GHG emissions. Internet of Things (IoT) bio-innovation and artificial intelligence are thought to be the most promising technological solutions to address these problems. © 2024 Elsevier B.V. All rights reserved.