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

Authors

  • Budianto Budianto Department of Chemical Engineering, Institute Sains & Teknologi Al-Kama
  • Zefki Okta Feri Department of Language Education Science, Universitas Negeri Yogjakarta
  • Qomarotun Nurlaila Department of Mechanical Engineering, Universitas Riau Kepulauan
  • Helena Sitorus Department of Industrial Engineering, Universitas Bhayangkara Jakarta Raya
  • Tina Hernawati Suryatman Department of Industrial Engineering, Universitas Muhammadiyah Tangerang

DOI:

https://doi.org/10.22441/sinergi.2023.2.008

Keywords:

Lean Manufacturing (LM), Operational Performance (OP), Quality Control (QC), Quality System (QS),

Abstract

The failure to implement lean manufacturing (LM) in the food industry was caused by the overlapping application of LM tools. The application of LM in the food industry is experiencing problems in the form of confusion in the placement of QS or Quality Control (QC). This problem is the background of this research. The objective of this study is to compare two methods of the implementation of LM in improving operational performance (OP), namely (1) making quality control (QC) a part of LM practice and (2) making quality control (QC) a part of the quality system (QS). The applied analytical method was the Structural Equation Modelling (SEM) based on Partial Least Square (PLS). The research findings indicated that "making QC a part of QS" can optimally mediate increasing LM against OP. This study's originality is a comparison of the relationship between LM and OP based on the two methods with large sample sizes. The implications of the findings are expected to become recommendations for applying LM in the food industry, especially in terms of placing quality in its implementation.

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Published

2023-04-15

How to Cite

[1]
B. Budianto, Z. O. Feri, Q. Nurlaila, H. Sitorus, and T. H. Suryatman, “Quality system as a mediating variable of the relationship between lean manufacturing and operational performance in the food industry”, Sinergi, vol. 27, no. 2, pp. 201–210, Apr. 2023.

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