scholarly journals Evaluation of the Relation between Lean Manufacturing, Industry 4.0, and Sustainability

2019 ◽  
Vol 11 (5) ◽  
pp. 1439 ◽  
Author(s):  
Leonilde Varela ◽  
Adriana Araújo ◽  
Paulo Ávila ◽  
Hélio Castro ◽  
Goran Putnik

Nowadays, Lean Manufacturing, Industry 4.0, and Sustainability are important concerns for the companies and in a general way for the society, principally, the influence of the two production philosophies, Lean Manufacturing and Industry 4.0, in the three main pillars of sustainability: economic, environmental, and social. According to the literature review done in this work, these relations are not well known and are dispersed by different sustainability’s criteria. To address this gap, this research proposes a structural equation model, with six hypotheses, to quantitatively measure the effects of Lean Manufacturing and Industry 4.0, in Sustainability. To statistically validate such hypotheses, we collected 252 valid questionnaires from industrial companies of Iberian Peninsula (Portugal and Spain). Results show that: (1) it is not conclusive that Lean Manufacturing is correlated with any of the sustainability pillars; and (2) Industry 4.0 shows a strong correlation with the three sustainability pillars. These results can contribute as an important decision support for the industrial companies and its stakeholders, even because not all the results are in line with other opinions and studies.

2021 ◽  
Author(s):  
Lokpriya Mohanrao Gaikwad ◽  
Vivek K. Sunnapwar

The study focuses on the analysis of the direct effect of Lean Manufacturing (LM) practices on operational performance in manufacturing industry. A model for evaluating the effect of LM is developed taking into consideration as a fundamental variable that affects the causal relationship between LM practices and operational performance. A structural equation model was proposed and investigated across the manufacturing industry in India. A structured survey questionnaire was used to collect empirical data from 400 Indian companies. A total of 203 usable responses were obtained giving a response rate of 53%. The data was analyzed using SPSS- AMOS software. The results revealed that LM practices directly and positively affected operational performance. The results indicated that the structural equation model remained invariant across the Industry. The study provides further evidence to managers and practitioner on the effect of LM practices on operational performance in developing countries like India.


2018 ◽  
Vol 8 (7) ◽  
pp. 1153 ◽  
Author(s):  
José Díaz-Reza ◽  
Jorge García-Alcaraz ◽  
Liliana Avelar-Sosa ◽  
José Mendoza-Fong ◽  
Juan Sáenz Diez-Muro ◽  
...  

The present research proposes a structural equation model to integrate four latent variables: managerial commitment, preventive maintenance, total productive maintenance, and productivity benefits. In addition, these variables are related through six research hypotheses that are validated using collected data from 368 surveys administered in the Mexican manufacturing industry. Consequently, the model is evaluated using partial least squares. The results show that managerial commitment is critical to achieve productivity benefits, while preventive maintenance is indispensable to total preventive maintenance. These results may encourage company managers to focus on managerial commitment and implement preventive maintenance programs to guarantee the success of total productive maintenance.


2019 ◽  
Vol 11 (7) ◽  
pp. 1864 ◽  
Author(s):  
Jorge García-Alcaraz ◽  
Arturo Realyvasquez-Vargas ◽  
Pedro García-Alcaraz ◽  
Mercedes Pérez de la Parte ◽  
Julio Blanco Fernández ◽  
...  

A successful Just in Time (JIT) implementation is based on human resources integration (managers, operators and suppliers) and other lean manufacturing techniques applied in the production process. However, the relationship between these variables is not easily quantified. This paper reports a structural equation model that integrates variables associated with JIT implementation: management commitment, human resources integration, suppliers and production tools and technique, which affect the benefits gained, and are integrated into nine hypotheses or relationships among then. The model is evaluated with information from 352 responses to a questionnaire applied to manufacturing industry, and partial least squares technique is used to evaluate it. The direct effects, sum of indirect effects, and total effects are quantified, and a sensitivity analysis based on conditional probabilities is reported to know scenarios associated with low and high levels in variables’ execution and how they impact the benefits obtained. Findings indicate that managerial commitment is the most important variable in the JIT implementation process, since managers are the ones that determine the relationships with suppliers, integrate human resources, and approve the lean manufacturing techniques and tools that support the JIT.


Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 62
Author(s):  
Fatmir Azemi ◽  
Roberto Lujić ◽  
Goran Šimunović ◽  
Daniel Tokody

Recently, there have been done numerous investigations related to lean manufacturing techniques. However, very little has been reported about the implementation and selection of lean manufacturing in the Kosovo manufacturing industry. This article presents the application of lean tools through Kosovo manufacturing industries and the selection of the most useful lean techniques for developing a model for an innovative smart Kosovo enterprise which is our initiative in the process of preparing Kosovo enterprises for the new age of industry—Industry 4.0. After several visits through Kosovo enterprises, the literature review has noticed that there is no investigation in the selection and implementation of lean techniques and tools in Kosovo enterprises. The purpose was to understand how Kosovo manufacturing enterprises use lean techniques and which are the most useful techniques. Analyses have been done based on interviews and questionnaires. Seven basic lean techniques are selected based on the response from the questionnaire and representing basic lean tools for developing a model of a production system regarding Industry 4.0.


2020 ◽  
Vol 1 (1) ◽  
pp. 1-4
Author(s):  
Dedi Iskamto ◽  
Puspa Liza Ghazali ◽  
Asyraf Afthanorhan

This study examines the impacts on Entrepreneur Performance (EP) of Entrepreneur Competence (EC) aspects. The EC dimension identified are oppoturnities competencies, organizing competencies, strategic competencies, relationships competencies, commitmet competencies and conceptual competencies. This essay attempts to describe how the EC and measurements affect the success of entrepreneurs with gender as moderator. The EC-SMEs Performance relation has proven as indicated by using the Structural Equation Model (SEM). Therefore, the inference may be made dependent on the concept of the suggested work and literature review. That entrepreneurial success would especially promote entrepreneurial development in Indonesia, so that unemployment is projected to be reduced and competitiveness improved. An additional gain of efficiency and productivity development.


2021 ◽  
Author(s):  
Sharad Rajbhandari ◽  
Niranjan Devkota ◽  
Ghanashyam Khanal ◽  
Surendra Mahato ◽  
Udaya Raj Paudel

2019 ◽  
Vol 32 (2) ◽  
pp. 288-304
Author(s):  
Catherine Maware ◽  
Olufemi Adetunji

Purpose The purpose of this paper is to analyze the moderating impact of industry clockspeed (IC) on the relationship between Lean Manufacturing (LM) practices and operational performance. A model for evaluating the impact of LM is developed and the moderating effect of IC is taken into consideration as a fundamental variable that affects the causal relationship between LM practices and operational performance. Design/methodology/approach A structural equation model was proposed and investigated across two groups based on IC level (Group 1: low IC and Group 2: high IC). A structured survey questionnaire was used to collect empirical data from 600 companies listed by the Confederation of Zimbabwean Industries. A total of 214 usable questionnaires were obtained giving a response rate of 35.6 percent. The data were analyzed using Smart PLS 3 and SPSS version 25. Findings The results revealed that LM practices directly and positively affected operational performance and IC had a positive moderation effect on the relationship between LM practices and operational performance. The results indicated that the structural equation model remained invariant across the groups. This showed that IC had a moderating effect on the relationship between LM practices and operational performance for both low IC and high IC industries. Originality/value The study analyzed the moderating effect of IC in Zimbabwean industries. The study will provide further evidence to managers on the impact of LM practices on operational performance in developing countries.


2019 ◽  
Vol 11 (22) ◽  
pp. 6488 ◽  
Author(s):  
Jorge Luis García-Alcaraz ◽  
Francisco Javier Flor-Montalvo ◽  
Liliana Avelar-Sosa ◽  
Cuauhtémoc Sánchez-Ramírez ◽  
Emilio Jiménez-Macías

Total quality management (TQM) is a lean manufacturing tool that focuses on ensuring the production of goods that meet design specifications and give customer satisfaction, both attractive benefits highly appreciated by managers. However, there are several factors involved in the success of TQM programs, many of which are cultural aspects associated with human resources (HR). This article presents a structural equation model that integrates three latent variables related to internal HR: “managerial commitment,” “employee integration,” and “training and education,” which are linked to the operational benefits of a manufacturing system. The variables are connected through six hypotheses that have been validated with information obtained from 398 responses of a questionnaire applied to manufacturing industry professionals. In addition, a sensitivity analysis was carried out to describe the probabilities of occurrence for the variables at low and high levels. The hypotheses were statistically validated with the partial least squared technique, where the results showed that human factors play an essential role in the success of TQM, since the direct, indirect, and total effects of managerial commitment, employee integration and training, and education processes on the benefits obtained from the implementation of TQM were statistically significant at 95% confidence.


Sign in / Sign up

Export Citation Format

Share Document