scholarly journals Effects of Human Factors and Lean Techniques on Just in Time Benefits

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 ◽  
...  
Keyword(s):  
Human Resources ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Implementation Process ◽  
Important Variable ◽  
Equation Model ◽  
Just In Time ◽  
Resources Integration ◽  
Manufacturing Techniques

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.

scholarly journals Effect of Lean Practices on Organizational Performance

2021 ◽  
Author(s):  
Lokpriya Mohanrao Gaikwad ◽  
Vivek K. Sunnapwar
Keyword(s):  
Developing Countries ◽  
Organizational Performance ◽  
Structural Equation Model ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Equation Model ◽  
Operational Performance ◽  
Survey Questionnaire ◽  
Lean Practices

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.

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
Keyword(s):  
Decision Support ◽  
Literature Review ◽  
Structural Equation Model ◽  
Strong Correlation ◽  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Equation Model ◽  
Industrial Companies

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.

scholarly journals Human Resource Abilities and Skills in TQM for Sustainable Enterprises

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
Keyword(s):  
Latent Variables ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Equation Model ◽  
Total Quality ◽  
Training And Education ◽  
Cultural Aspects ◽  
Industry Professionals ◽  
And Training

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.

scholarly journals The Role of Managerial Commitment and TPM Implementation Strategies in Productivity Benefits

2018 ◽  
Vol 8 (7) ◽  
pp. 1153 ◽  
Author(s):  
José Díaz-Reza ◽  
Jorge García-Alcaraz ◽  
Liliana Avelar-Sosa ◽  
José Mendoza-Fong ◽  
Juan Sáenz Diez-Muro ◽  
...  
Keyword(s):  
Least Squares ◽  
Structural Equation Model ◽  
Preventive Maintenance ◽  
Latent Variables ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Implementation Strategies ◽  
Equation Model ◽  
Total Productive Maintenance

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.

scholarly journals Industrial Case Study on Lean Manufacturing Implemented on Manufacturing Polypropylene Ropes Industry Amravati

2021 ◽  
Vol 9 (12) ◽  
pp. 1318-1323
Author(s):  
Vipul Deshpande
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Developing Economies ◽  
Labour Productivity ◽  
Shop Floor ◽  
Industrial Case Study ◽  
Lean Principles ◽  
Manufacturing Techniques

Abstract: Lean manufacturing has been one of the most standard method in the manufacturing and service industry for elimination of waste. Every manufacturing industry has to put in continuous effort for its survival in the current impulsive and competitive economy. The purpose of this paper is to investigate the adoption of lean manufacturing tools and techniques in the manufacturing industries. This paper is based on actual implementation of lean manufacturing techniques. It focuses on the execution of flow from the start until the end of the implementation, types of analysis and tools applied, evaluation methods and how the industry benefited from the implementation. In this case study we particularly focused on Shop floor management, Quality Management (QM), Supplier and Customer Management (SCM) and Workforce Management (WM). After going through various testing on implementation of Lean Manufacturing principles in Micro Small medium Enterprise (MSME), researcher studied thoughts of some author where they discussed pragmatic problems they overcome while implementing lean principles in developing economies MSME. At the end, the result shows that there is monthly increment in capital productivity and labour productivity. And decrement in inhouse rejection, breakdown hours and customer complaint from the implementation of lean.

scholarly journals UNIVERSUM KELEMBAGAAN KESATUAN PENGELOLAAN HUTAN PRODUKSI (KPHP) MODEL KABUPATEN BANJAR PROVINSI KALIMANTAN SELATAN

2016 ◽  
Vol 1 (2) ◽  
pp. 143
Author(s):  
Ridwan Sya’rani ◽  
San Afri Awang ◽  
Nunuk Supriyatno ◽  
Ris Hadi Purwanto
Keyword(s):  
Multivariate Analysis ◽  
Forest Management ◽  
Human Resources ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Sampling Method ◽  
Sampling Technique ◽  
Equation Model ◽  
Institutional Variables ◽  
The Relationship

This study aims to examine the relationship between the factors that forming the institutions in Production Forest Management Unit (KPHP) Model Banjar Regency, South Kalimantan Province. The analysis used is Structural Equation Model (SEM). SEM is a multivariate analysis were used to analyze the relationship between variables. The sampling technique was conducted using purposive sampling method with 83 respondents. Based on the results of the study showed that the institutionality is signicantly inuenced by the factors of human resources, institutional variables and linkage.

Role of Human Resources, Production Process, and Flexibility on Commercial Benefits From AMT Investments

2022 ◽  
pp. 760-790
Author(s):  
Jorge Luis García-Alcaráz ◽  
Emilio Jiménez-Macías ◽  
Arturo Realyvásquez-Vargas ◽  
Liliana Avelar Sosa ◽  
Aide Aracely Maldonado-Macías
Keyword(s):  
Human Resources ◽  
Production Process ◽  
Direct Effect ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Manufacturing Companies ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies

Advanced manufacturing technologies (AMT) acquisition by maquiladoras (foreign-owned manufacturing companies) is a tendency that allows these companies to maximize their commercial benefits. However, it remains unclear how the AMT implementation impacts on their performance. In addition, this research studies 383 responses to a questionnaire about the AMT implementation in the Mexican maquiladora industry and reports an analysis with four latent variables associating obtained benefits after the AMT implementation—human resources, flexibility, production process, and commercial benefits—where their relationships are evaluated through six hypotheses using a structural equation model (SEM). Finally, the outcomes demonstrated that AMT benefits for human resources have a direct effect on flexibility, production process, and commercial benefits. However, the direct effect from human resources benefits, knowledge, and experience on commercial benefits are acquired through indirect effects, using flexibility and production process as mediator variables.

scholarly journals An implementation of lean manufacturing technology in enhancing efficiency in garment manufacturing industry with small and medium size

2021 ◽  
Vol 4 (1) ◽  
pp. first
Author(s):  
Hiền Ngọc Đỗ ◽  
Quỳnh Lam Ngọc Lê
Keyword(s):  
Case Studies ◽  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Implementation Process ◽  
Manufacturing Technology ◽  
Working Environment ◽  
Medium Size ◽  
Lean Implementation ◽  
Efficiency And Effectiveness ◽  
Enhance Efficiency

Lean manufacturing technology has been applied in industry to eliminate wastes, enhance efficiency and increase competition ability. While some case studies were evaluated successfully, others faced with big challenges. Actually, lean was applied in different ways due to types and size of industry or organization. This paper would present an lean implementation process, in which lean tools are integrated in simultaneously. Requirements on system manufacturing capacity should be met, so necessary resources would be determined. Manufacturing layout and work flows would be created smoothly. The lean implementation process was applied in some case studies in garment industry with small and medium size, which show the efficiency and effectiveness of the lean technology in the practice systems. The research shows the good results on some performance key indexes such as productivity, ability to satisfy the orders and good working environment.

scholarly journals ANALISIS TERHADAP FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA UMKM FASHION DI JAKARTA, INDONESIA

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Hendri Haryanti
Keyword(s):  
Competitive Advantage ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Total Sample ◽  
Important Variable ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
And Performance ◽  
The Impact

Abstrak: Penelitian ini bertujuan untuk: menganalisis pengaruh digital capability terhadap kinerja dan keunggulan kompetitif; menganalisis pengaruh strategi inovasi terhadap keunggulan kompetitif dan kinerja; dan menganalisis pengaruh keunggulan kompetitif terhadap kinerja. Penelitian ini dilaksanakan di Jakarta dengan jumlah sampel sebanyak 245 pelaku UMKM Fashion yang memanfaatkan teknologi digital dalam kegiatan bisnis. Teknik analisis data menggunakan Structural Equation Model (SEM) with Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa digital capability berpengaruh terhadap keunggulan kompetitif dan keunggulan kompetitif berpengaruh terhadap kinerja. Digital capability tidak berpengaruh langsung terhadap kinerja, hal ini bermakna keunggulan kompetitif menjadi variabel penting untuk memediasi digital capability terhadap kinerja UMKM Fashion. Strategi inovasi berpengaruh terhadap keunggulan kompetitif maupun terhadap kinjer UMKM. Abstract: This study aims to: analyze the effect of digital capability on performance and competitive advantage, analyze the influence of innovation strategies on competitive advantage and performance, and analyze the impact of competitive advantage on performance. This research was conducted in Jakarta with a total sample of 245 fashion SMEs who utilize digital technology in business activities. The data analysis technique used the Structural Equation Model (SEM) with Partial Least Square (PLS). The results showed that digital capability affected competitive advantage and competitive advantage affected performance. Digital power does not directly affect performance; this means that competitive advantage is an important variable to mediate digital ability on the performance of MSME Fashion. The innovation strategy has an impact on the competitive advantage and the performance of the UMKM.

The Impact of ICT on Supply Chain Agility and Human Performance

2017 ◽  
pp. 180-198
Author(s):  
Valeria Martínez Loya ◽  
Jorge Luis García Alcaraz ◽  
José Roberto Díaz Reza ◽  
Deysi Guadalupe Marquez Gayosso
Keyword(s):  
Supply Chain ◽  
Human Resources ◽  
Information And Communication Technologies ◽  
Latent Variables ◽  
Structural Equation ◽  
Human Performance ◽  
Communication Technologies ◽  
Equation Model ◽  
Supply Chain Agility ◽  
Information And Communication

Supply Chain (SC) has become a key element for companies to increase their productivity and competitiveness. However, the use of information and communication technologies (ICT) has also played an important role in the performance of these companies. Therefore, this chapter analyzes three latent variables in order to know the importance of ICT in both supply chain agility and the performance of human resources. Information was obtained from a questionnaire administered in the maquiladora industry in Ciudad Juárez, Chihuahua, Mexico. A structural equation model is generated to understand the relationships among latent variables, and three hypotheses are raised based on such interactions. Finally, results indicate that supply chain agility and the performance of human resources are directly linked to the use of information and communication technologies.

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