Quality system as a mediating variable of the relationship between lean manufacturing and operational performance in the food industry

Budianto, Budianto; Feri, Zefky Okta; Nurlaila, Qomarotun; Sitorus, Helena; Suryatman, Tina Hernawati

doi:10.22441/sinergi.2023.2.008

Cited by 1 publication

(2 citation statements)

References 26 publications

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“…Quality: implementation of quality in industries through tools such as regular audits, statistical process control, and continuous training which minimizes defects suggested (9) . Total Productive Maintenance (TPM), and Kaizen are technologies used to improve the industry's quality, productivity, and profitability.…”

Section: Lean Operational Performancementioning

confidence: 99%

“…Total Productive Maintenance (TPM), and Kaizen are technologies used to improve the industry's quality, productivity, and profitability. Organizations can achieve sustainable growth through productivity improvement techniques while maintaining high-quality standards and meeting customer needs by taking a proactive approach to these initiatives as reported in (9) .…”

Section: Lean Operational Performancementioning

confidence: 99%

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Structural Equation Modeling of Relationships Among Lean Operational, Financial Performance, and Customer Satisfaction

Amare,

Singh,

Kabeta

et al. 2024

IJST

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Objectives: The challenges of implementing a lean business system can be solved by Structural Equation Modeling. In this research, the link between lean operational, financial performance, and customer satisfaction has been investigated in the Akaki Basic Metal Industry in Ethiopia. Methods: A lean operational performance that met the needs of the industry was identified by conducting a structural survey questionnaire to collect feedback data from experts. The model was developed including 28 variables from the experts in the industry. The collected responses were tested for reliability and validity using Cronbach's alpha, composite reliability, convergent, and discriminant validity. Findings: From the use of Analysis of Moments and Structures (AMOS-SEM), the results confirmed that C.R. > 1.96, p < 0.001, and p < 0.05 on quality and delivery. This shows a significant positive direct effect on customer satisfaction by 25.8% on quality, 24.9% on delivery, and 10.3% on cost. Novelty: Even though LM has become a fundamental aspect of industrial manufacturing processes, lack of understanding (knowledge) and practicing how to implement the positive impact on lean operational, financial performance, and customer satisfaction are still not sufficiently exploited particularly in developing countries. This research adds values to the practical use of the concept by examining the relationship among lean operational, financial performance, and customer satisfaction within basic metal manufacturing industry in Ethiopia. In addition to this, the findings have demonstrated improved organizational performance through structural equation modeling. It also helps leaders to focus more on training employees on quality issues and developing an awareness of quality achievement as a core value in the industry. Keywords: Confirmatory factor analysis, Exploratory factor analysis, Lean operational performance, Structural equation modeling, Customer satisfaction

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Section: Lean Operational Performancementioning

confidence: 99%

Section: Lean Operational Performancementioning

confidence: 99%