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Roberto Díaz-Reza
Universidad Autónoma de Ciudad Juárez

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Chapter
Published: 08 June 2021 in Econometrics for Financial Applications
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Timely product delivery is one of the quality characteristics that clients value the most, which is why production plans and programs are made to guarantee it. One of the most used quality-focused production programs is Just-In-Time (JIT) philosophy; however, it remains unclear to what extent JIT factors of quality planning and management influence on the performance of manufacturing companies in Mexico. To address this gap, this chapter presents a structural equation model associating JIT elements of quality planning and quality management with human resources and economic performance in the context of Mexican maquiladoras (cross-border assembly plants). Results indicate that even though there is no direct relationship between quality planning and management and economic benefits, these variables are indirectly related through human resources. In conclusion, human resources are key to achieving financial success of maquiladoras.

ACS Style

Jorge Luis García-Alcaraz; José Luis Rodríguez-Álvarez; Jesús Alfonso Gil-López; Mara Luzia Matavelli de Araujo; Roberto Díaz-Reza. Quality and Human Resources, Two JIT Critical Success Factors. Econometrics for Financial Applications 2021, 267 -287.

AMA Style

Jorge Luis García-Alcaraz, José Luis Rodríguez-Álvarez, Jesús Alfonso Gil-López, Mara Luzia Matavelli de Araujo, Roberto Díaz-Reza. Quality and Human Resources, Two JIT Critical Success Factors. Econometrics for Financial Applications. 2021; ():267-287.

Chicago/Turabian Style

Jorge Luis García-Alcaraz; José Luis Rodríguez-Álvarez; Jesús Alfonso Gil-López; Mara Luzia Matavelli de Araujo; Roberto Díaz-Reza. 2021. "Quality and Human Resources, Two JIT Critical Success Factors." Econometrics for Financial Applications , no. : 267-287.

Journal article
Published: 07 September 2019 in Applied Sciences
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Advanced manufacturing technologies (AMT) require considerable investments that managers often avoid, which makes it difficult to link their production operations with the benefits reported in literature review. The present paper shows a structural equation model that integrates four latent variables to measure the relationship between the levels of advanced manufacturing technologies implementation (Stand-Alone Intermediate and Integrated Systems), as well as the benefits obtained in the productive systems. The variables are related to each other using six hypotheses in order to realise how the AMT implementation level affects the benefits obtained from a quantitative and statistical point of view. The model is evaluated through the partial least square technique with data from 383 responses to a survey. Findings show that Stand-Alone Systems contribute more to obtaining Production Benefits, followed by Integrated Systems and Intermediate Systems. Finally, a sensitivity analysis based on conditional probabilities was performed to evaluate scenarios at different implementation levels in AMT to know how they facilitate the acquisition of the benefits offered.

ACS Style

José Roberto Díaz-Reza; José Roberto Mendoza-Fong; Julio Blanco-Fernández; José Antonio Marmolejo-Saucedo; Jorge Luis García-Alcaraz. The Role of Advanced Manufacturing Technologies in Production Process Performance: A Causal Model. Applied Sciences 2019, 9, 3741 .

AMA Style

José Roberto Díaz-Reza, José Roberto Mendoza-Fong, Julio Blanco-Fernández, José Antonio Marmolejo-Saucedo, Jorge Luis García-Alcaraz. The Role of Advanced Manufacturing Technologies in Production Process Performance: A Causal Model. Applied Sciences. 2019; 9 (18):3741.

Chicago/Turabian Style

José Roberto Díaz-Reza; José Roberto Mendoza-Fong; Julio Blanco-Fernández; José Antonio Marmolejo-Saucedo; Jorge Luis García-Alcaraz. 2019. "The Role of Advanced Manufacturing Technologies in Production Process Performance: A Causal Model." Applied Sciences 9, no. 18: 3741.

Chapter
Published: 30 August 2019 in Springer Texts in Business and Economics
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Current competitive, complex, and uncertain markets drive companies toward increasing active collaboration among human resources involved in a supply chain. Increasing employee participation and supply chain collaboration results in increasing the performance, competitiveness, and, consequently, economic success for companies. In this article, a structural equation model is proposed with three independent latent variables (role of managers, learning environment, employee competencies) and one dependent latent variable (supply chain performance), where six hypotheses to measure their relationships are proposed. The model is validated with data obtained from 284 valid responses to a survey applied to supply chain managers and engineers in the Mexican manufacturing sector. The findings revealed a positive relationship among latent variables, and in terms of magnitude, the role of managers reported the largest effect on the supply chain learning environment.

ACS Style

José Roberto Mendoza-Fong; Jorge Luis García-Alcaraz; José Antonio Marmolejo-Saucedo; José Roberto Díaz-Reza. Impact of Managers and Human Resources on the Supply Chain Performance. Springer Texts in Business and Economics 2019, 3 -23.

AMA Style

José Roberto Mendoza-Fong, Jorge Luis García-Alcaraz, José Antonio Marmolejo-Saucedo, José Roberto Díaz-Reza. Impact of Managers and Human Resources on the Supply Chain Performance. Springer Texts in Business and Economics. 2019; ():3-23.

Chicago/Turabian Style

José Roberto Mendoza-Fong; Jorge Luis García-Alcaraz; José Antonio Marmolejo-Saucedo; José Roberto Díaz-Reza. 2019. "Impact of Managers and Human Resources on the Supply Chain Performance." Springer Texts in Business and Economics , no. : 3-23.

Chapter
Published: 30 August 2019 in Springer Texts in Business and Economics
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This chapter reports a structural equation model which relate four latent variables associated with employee performance, knowledge transfer, supply chain complexity and flexibility, which incorporate 17 observed variables. The latent variables are related through 6 hypotheses that are tested with data gather from 269 responses to a questionnaire applied to the Mexican maquiladora industry in Mexico. The model is executed using the partial least squares technique to analyze the direct, indirect, and total effects. In the same way, the probabilities of occurrence are obtained in an independent manner, jointly and conditionally for the latent variables analyzed at their high and low levels for each of the hypotheses. Findings indicate that the external knowledge transfer is crucial within the supply chains, since it explains 44.6% of its complexity, 19.5% of the employees’ performance, as well as 10.6% of the supply chain flexibility.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Liliana Avelar-Sosa; José Roberto Mendoza-Fong. The Role of Employees’ Performance and External Knowledge Transfer on the Supply Chain Flexibility. Springer Texts in Business and Economics 2019, 25 -51.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Liliana Avelar-Sosa, José Roberto Mendoza-Fong. The Role of Employees’ Performance and External Knowledge Transfer on the Supply Chain Flexibility. Springer Texts in Business and Economics. 2019; ():25-51.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Liliana Avelar-Sosa; José Roberto Mendoza-Fong. 2019. "The Role of Employees’ Performance and External Knowledge Transfer on the Supply Chain Flexibility." Springer Texts in Business and Economics , no. : 25-51.

Earlycite article
Published: 27 August 2019 in Journal of Manufacturing Technology Management
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Purpose The purpose of this paper is to measure the relationships between advanced manufacturing technologies (AMTs) categories (stand-alone, intermediated and integrated systems) implementation and design, process and commercial benefits obtained. Design/methodology/approach A survey is designed with benefits gained from AMT implementation as well as its categories, which is applied to the maquiladora industry. A structural equation model with data from 383 responses is used to measure the relationship between AMT categories and benefits gained using nine hypotheses that are tested statistically significant using partial least squares. Also, using conditional probabilities, a sensitivity analysis reports how low and high levels from AMT implementation influence on the obtained benefits. Findings Integrated systems are the most important AMT for maquiladoras and have the strongest impact on design, processes and commercial benefits. Research limitations/implications Data obtained support the model, but results may be different in another industrial sector and countries with different labor culture and technological level. Practical implications Managers in maquiladora industry must focus their attention on integrated manufacturing systems, because high implementation levels guarantee the biggest probability to gain benefits in design, production process and commercial. Originality/value The relationship between AMT and their benefits has not been measured in depth, and this paper contributes to understand that problem. In addition, this paper is the first to report a sensitivity analysis that enables managers to acknowledge the probability of obtaining certain benefits.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Alfonso J. Gil; Julio Blanco-Fernández; Emilio Jimenez-Macias. Design, process and commercial benefits gained from AMT. Journal of Manufacturing Technology Management 2019, 31, 330 -352.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Alfonso J. Gil, Julio Blanco-Fernández, Emilio Jimenez-Macias. Design, process and commercial benefits gained from AMT. Journal of Manufacturing Technology Management. 2019; 31 (2):330-352.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Alfonso J. Gil; Julio Blanco-Fernández; Emilio Jimenez-Macias. 2019. "Design, process and commercial benefits gained from AMT." Journal of Manufacturing Technology Management 31, no. 2: 330-352.

Article
Published: 24 June 2019 in Wireless Networks
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This article reports a structural equation model (SEM) with four latent variables to measure the relationship between information and communication technologies (ICT) integration with supply chain flexibility, supply chain agility, and company’s performance. The SEM integrates six hypotheses with relationships among variables and is validated with 378 responses from manufacturing sector to a questionnaire and partial least squares technique is used to evaluate it and test the hypotheses statistically. A sensitivity analysis is conducted in different scenarios to know conditional probabilities of occurrence of dependent variables, since a scenario has occurred in the independent variable with low and high success level. Findings indicate that ICT integration in supply chain facilitate to monitoring the production process, partners integration and have a direct effect on agility and flexibility for manufacturers, providing an active material’ or subassemblies’ flow among partners with greater visibility and making agile and joint decision-making.

ACS Style

Jorge Luis García-Alcaraz; Valeria Martínez-Loya; José Roberto Díaz-Reza; Julio Blanco-Fernández; Emilio Jiménez-Macías; Alfonso Jesús Gil López. Effect of ICT integration on SC flexibility, agility and company’ performance: the Mexican maquiladora experience. Wireless Networks 2019, 26, 4805 -4818.

AMA Style

Jorge Luis García-Alcaraz, Valeria Martínez-Loya, José Roberto Díaz-Reza, Julio Blanco-Fernández, Emilio Jiménez-Macías, Alfonso Jesús Gil López. Effect of ICT integration on SC flexibility, agility and company’ performance: the Mexican maquiladora experience. Wireless Networks. 2019; 26 (7):4805-4818.

Chicago/Turabian Style

Jorge Luis García-Alcaraz; Valeria Martínez-Loya; José Roberto Díaz-Reza; Julio Blanco-Fernández; Emilio Jiménez-Macías; Alfonso Jesús Gil López. 2019. "Effect of ICT integration on SC flexibility, agility and company’ performance: the Mexican maquiladora experience." Wireless Networks 26, no. 7: 4805-4818.

Journal article
Published: 01 March 2019 in Sustainability
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This paper reports a second-order structural equation model composed of four variables: the green attributes before and after an industrial production process, the operating benefits, the commercial benefits, and the economic benefits. The variables are related by means of five hypotheses and are validated statistically with information obtained from 559 responses to a questionnaire applied to the Mexican maquila industry. The model is evaluated using the technique of partial least squares and the results obtained indicate that the green attributes before and after the production process have a direct and positive effect on the obtained benefits, mostly on the operational ones. It is concluded that companies that are focused on increasing their greenness level must monitor and evaluate the existence of green attributes in their production process to guarantee benefits and make fast decisions if required due to deviations.

ACS Style

José Roberto Mendoza-Fong; Jorge Luis García-Alcaraz; José Roberto Díaz-Reza; Emilio Jiménez-Macías; Julio Blanco-Fernández. The Role of Green Attributes in Production Processes as Well as Their Impact on Operational, Commercial, and Economic Benefits. Sustainability 2019, 11, 1294 .

AMA Style

José Roberto Mendoza-Fong, Jorge Luis García-Alcaraz, José Roberto Díaz-Reza, Emilio Jiménez-Macías, Julio Blanco-Fernández. The Role of Green Attributes in Production Processes as Well as Their Impact on Operational, Commercial, and Economic Benefits. Sustainability. 2019; 11 (5):1294.

Chicago/Turabian Style

José Roberto Mendoza-Fong; Jorge Luis García-Alcaraz; José Roberto Díaz-Reza; Emilio Jiménez-Macías; Julio Blanco-Fernández. 2019. "The Role of Green Attributes in Production Processes as Well as Their Impact on Operational, Commercial, and Economic Benefits." Sustainability 11, no. 5: 1294.

Book
Published: 01 January 2019 in Impact Analysis of Total Productive Maintenance
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This book present the state of the art in Total Productive Maintainance (TPM) and its benefits. The authors present a survey applied to 368 manufacturing industries in order to determine their level of execution of TPM. Then a series of causal models are presented. For each model, the authors present a measure of the dependency between the critical success factors and the benefits obtained, allowing industry managers to differentiate between essential and non-essential activities. The content also allows students and academics to obtain a theoretical and empirical basis on the importance of TPM as a lean manufacturing tool in the context of industry 4.0.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. Impact Analysis of Total Productive Maintenance. Impact Analysis of Total Productive Maintenance 2019, 1 .

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. Impact Analysis of Total Productive Maintenance. Impact Analysis of Total Productive Maintenance. 2019; ():1.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2019. "Impact Analysis of Total Productive Maintenance." Impact Analysis of Total Productive Maintenance , no. : 1.

Chapter
Published: 02 October 2018 in Impact Analysis of Total Productive Maintenance
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In this chapter, the research problem that is addressed in the book is described and based on that the objectives of the book are established, where the limitations and scopes are defined according to the accessed data.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. Definition of the Problem and Objective of the Research. Impact Analysis of Total Productive Maintenance 2018, 77 -82.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. Definition of the Problem and Objective of the Research. Impact Analysis of Total Productive Maintenance. 2018; ():77-82.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2018. "Definition of the Problem and Objective of the Research." Impact Analysis of Total Productive Maintenance , no. : 77-82.

Chapter
Published: 02 October 2018 in Impact Analysis of Total Productive Maintenance
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This chapter presents some data related to the evolution of total productive maintenance in recent decades, specifically from 1994. As a matter of fact, the data is organized according to the type of publication, the published, number as well as the TPM use trend, information is presented on the number of published articles by each journal, the authors that publish information about TPM, and the industrial sectors that implement this tool. In addition, the data was obtained from a literature review in different databases, where keywords were used such as total productive maintenance (TPM). Also, the results show that in 2015, it was the year where more papers were published about TPM, the most common type of publication is research articles with 714, the journal with the most reported publications is International Journal of Production Economics, the sector that uses it more is the construction of industrial buildings, and the editorial that has published the most is Taylor & Francis LTD. Similarly, a series of case studies are included that demonstrate the success of the TPM implementation, both in the manufacturing industry and in-service companies.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. TPM Literature Review. Impact Analysis of Total Productive Maintenance 2018, 23 -39.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. TPM Literature Review. Impact Analysis of Total Productive Maintenance. 2018; ():23-39.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2018. "TPM Literature Review." Impact Analysis of Total Productive Maintenance , no. : 23-39.

Chapter
Published: 02 October 2018 in Impact Analysis of Total Productive Maintenance
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In the two previous complex models, the benefits from the actions on the variables have not been integrated. However, this Complex Model 3 has the purpose of integrating two latent variables associated with the activities, but already related to two types of benefits in the analysis. In addition, the variables that comprehend the model are: Managerial commitment, Suppliers, and Benefits for the organization.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. Structural Equation Models-Human Factor—Part II. Impact Analysis of Total Productive Maintenance 2018, 235 -274.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. Structural Equation Models-Human Factor—Part II. Impact Analysis of Total Productive Maintenance. 2018; ():235-274.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2018. "Structural Equation Models-Human Factor—Part II." Impact Analysis of Total Productive Maintenance , no. : 235-274.

Chapter
Published: 02 October 2018 in Impact Analysis of Total Productive Maintenance
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In this chapter two structural equation models are presented, which are related to the technical factors associated with the total preventive maintenance programs implementation such as the PM Implementation, TPM implementation, Technological status, Layout and Warehouse management. In addition, these technical factors are linked to the Benefits for the organization, productivity, and worker and environment safety, which generate a series of hypotheses. Also, least squares algorithms are implemented to evaluate the models, and the hypotheses are validated by estimating the direct effects, although indirect and total effects are also acquired as well as the effect size. Finally, for each relationship between the variables, a sensitivity analysis is performed.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. Structural Equation Models-Technical Factors. Impact Analysis of Total Productive Maintenance 2018, 275 -311.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. Structural Equation Models-Technical Factors. Impact Analysis of Total Productive Maintenance. 2018; ():275-311.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2018. "Structural Equation Models-Technical Factors." Impact Analysis of Total Productive Maintenance , no. : 275-311.

Chapter
Published: 02 October 2018 in Impact Analysis of Total Productive Maintenance
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In this chapter, four structural equation models are presented, where variables that integrate the human factor category appeared during the TPM implementation process, which operate as independent variables and are related to variables from the operational factor categories as well as from the obtained benefits. In addition, the models are validated and evaluated, and also direct, indirect, and total effects are obtained as well as their effect sizes. Finally, a series of industrial implications are discussed and displayed based on the results.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. Structural Equation Models: Human Factor—Part I. Impact Analysis of Total Productive Maintenance 2018, 201 -234.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. Structural Equation Models: Human Factor—Part I. Impact Analysis of Total Productive Maintenance. 2018; ():201-234.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2018. "Structural Equation Models: Human Factor—Part I." Impact Analysis of Total Productive Maintenance , no. : 201-234.

Chapter
Published: 02 October 2018 in Impact Analysis of Total Productive Maintenance
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This chapter presents the methodology that will be used to solve the issue previously mentioned, which intends to connect the critical success factors of total productive maintenance and their benefits where hypotheses are developed and statistically tested. Also, it explains how an instrument or questionnaire is designed to gather information from the industry field, the process validation to analyze obtained data, and the statistical tests to find relationships among variables.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. Methodology. Impact Analysis of Total Productive Maintenance 2018, 83 -109.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. Methodology. Impact Analysis of Total Productive Maintenance. 2018; ():83-109.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2018. "Methodology." Impact Analysis of Total Productive Maintenance , no. : 83-109.

Chapter
Published: 02 October 2018 in Impact Analysis of Total Productive Maintenance
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This chapter presents the descriptive analysis of the data obtained from the applied questionnaires in this research, which is developed in two sections: the first part refers to the descriptive analysis of the sample with demographic data. On the other hand, the second section shows the items in each of the latent variables, where the median is used as a measure of central tendency and the interquartile lag as a measure of dispersion. In addition, managers are able to identify the most remarkably observed variables from a univariate point of view using this type of data.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. Descriptive Analysis. Impact Analysis of Total Productive Maintenance 2018, 127 -146.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. Descriptive Analysis. Impact Analysis of Total Productive Maintenance. 2018; ():127-146.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2018. "Descriptive Analysis." Impact Analysis of Total Productive Maintenance , no. : 127-146.

Chapter
Published: 02 October 2018 in Impact Analysis of Total Productive Maintenance
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Throughout this chapter, the main benefits that can be obtained with the effective TPM implementation are exposed. In addition, these benefits have been identified from the literature review previously written, including a total of 22 benefits (observed variables) divided into three categories: Benefits for the company, productivity benefits, and safety benefits. Also, a brief description of each element is presented.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. Benefits Associated with the TPM Implementation in the Industry. Impact Analysis of Total Productive Maintenance 2018, 69 -74.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. Benefits Associated with the TPM Implementation in the Industry. Impact Analysis of Total Productive Maintenance. 2018; ():69-74.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2018. "Benefits Associated with the TPM Implementation in the Industry." Impact Analysis of Total Productive Maintenance , no. : 69-74.

Chapter
Published: 02 October 2018 in Impact Analysis of Total Productive Maintenance
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This chapter deals with the validation process from the latent variables that integrate the structural equation modeling. A total of eight complex models are generated, involving nine variables associated with critical factors of total productive maintenance (TPM) and three latent variables related to obtained benefits. Also, the validity indexes for each final model are reported, where the observed variables that are part of each latent variable are presented, since many were not considered in order to increase the reliability.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. Validation of Variables. Impact Analysis of Total Productive Maintenance 2018, 113 -125.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. Validation of Variables. Impact Analysis of Total Productive Maintenance. 2018; ():113-125.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2018. "Validation of Variables." Impact Analysis of Total Productive Maintenance , no. : 113-125.

Chapter
Published: 02 October 2018 in Impact Analysis of Total Productive Maintenance
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In this chapter, two structural equation models are presented. The first one refers to a model that integrates two technical variables and two benefits, while the second model is an integrator, since it integrates the Human factor independent latent variable where the independent Operating factor and Benefits latent variables intervene in the total productive maintenance programs implementing process. In addition, each of the latent variables is validated and the model is evaluated through the partial least squares technique. Also, the direct effects, indirect effect, and total effects between the variables are measured. Similarly, a series of industrial implications from the results obtained are displayed.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. Structural Equation Models—Methodological Factors. Impact Analysis of Total Productive Maintenance 2018, 313 -346.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. Structural Equation Models—Methodological Factors. Impact Analysis of Total Productive Maintenance. 2018; ():313-346.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2018. "Structural Equation Models—Methodological Factors." Impact Analysis of Total Productive Maintenance , no. : 313-346.

Chapter
Published: 02 October 2018 in Impact Analysis of Total Productive Maintenance
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In this chapter, a description from a total of 75 critical success factors for the total productive maintenance (TPM) implementation program within the industry is reported, these critical success factors were divided into 2 categories: activities related to the human factor and activities related to the operative factor, which is briefly described.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. Activities Associated with the Success of TPM. Impact Analysis of Total Productive Maintenance 2018, 43 -68.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. Activities Associated with the Success of TPM. Impact Analysis of Total Productive Maintenance. 2018; ():43-68.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2018. "Activities Associated with the Success of TPM." Impact Analysis of Total Productive Maintenance , no. : 43-68.

Chapter
Published: 02 October 2018 in Impact Analysis of Total Productive Maintenance
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In this chapter, simple models where only two latent variables intervene are described, in which the main objective is to find the relationship between them, as well as their dependence level. In addition, only three simple models from two variables are presented, therefore, some tables are developed including a summary that allows observing all the relationships from each of the bivariate latent variables, where the independent variable, the dependent variable, the beta value for each relationship, the p-value, and the R-square value as a measure of the explained variance are illustrated. Also, a series of industrial implications and conclusions are reported.

ACS Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. Simple Models. Impact Analysis of Total Productive Maintenance 2018, 149 -199.

AMA Style

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya. Simple Models. Impact Analysis of Total Productive Maintenance. 2018; ():149-199.

Chicago/Turabian Style

José Roberto Díaz-Reza; Jorge Luis García-Alcaraz; Valeria Martínez-Loya. 2018. "Simple Models." Impact Analysis of Total Productive Maintenance , no. : 149-199.