Overall Labor Effectiveness (OLE) Method for Analyzing Employee Performance in the Musical Instrument Industry

The production processes in the musical instrument industry are highly diverse, ranging from manual operations to full automation. The musical instrument industry examined in this study is predominantly characterized by manual production processes. In manual production, the role of operators is crucial in determining productivity levels. The Buffing Section is a workgroup within the painting department responsible for polishing components of musical instruments. Observations conducted from September to November revealed that the productivity of this group had not met the company’s target of 82%. Productivity was recorded at 70% in September, 77% in October, and 72% in November. To evaluate this condition, operator performance effectiveness was measured using the Overall Labor Effectiveness (OLE) method. OLE is used to assess labor productivity efficiency in manufacturing by examining the cumulative impact of three elements—availability, performance, and quality—on output. To identify the priority factors affecting productivity, the Analytical Hierarchy Process (AHP) method was employed. Additionally, Root Cause Analysis (RCA) was conducted to analyze the causes of problems and propose improvements. The results of the study showed an OLE value of 76%, indicating that the operational performance effectiveness was below the global standard. AHP analysis revealed that the primary factor influencing the low OLE value, which should be prioritized for problem analysis and improvement, was the quality factor, with an eigenvector value of 0.70. To further identify quality-related issues, RCA analysis highlighted the most dominant defects based on a Pareto diagram, namely rough surfaces (69.74%) and dull finishes (15.61%). The primary causes of these defects were, Uneven operator skills, Improper machine settings, Inadequate sanding processes, Incorrect pressure during the buffing process, Excessive or insufficient use of wax, Poor workplace cleanliness

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Publication Details

Journal
Journal of Industrial Engineering and Halal Industries
Published
2024-12-31
DOI
https://doi.org/10.14421/jiehis.4968
Primary Topic
Quality and Supply Management
Type
article
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article

Overall Labor Effectiveness (OLE) Method for Analyzing Employee Performance in the Musical Instrument Industry

Muchammad Sugarindra
Journal of Industrial Engineering and Halal Industries
Quality and Supply Management
article

Overall Labor Effectiveness (OLE) Method for Analyzing Employee Performance in the Musical Instrument Industry

Muchammad Sugarindra
article en

Abstract

The production processes in the musical instrument industry are highly diverse, ranging from manual operations to full automation. The musical instrument industry examined in this study is predominantly characterized by manual production processes. In manual production, the role of operators is crucial in determining productivity levels. The Buffing Section is a workgroup within the painting department responsible for polishing components of musical instruments. Observations conducted from September to November revealed that the productivity of this group had not met the company’s target of 82%. Productivity was recorded at 70% in September, 77% in October, and 72% in November. To evaluate this condition, operator performance effectiveness was measured using the Overall Labor Effectiveness (OLE) method. OLE is used to assess labor productivity efficiency in manufacturing by examining the cumulative impact of three elements—availability, performance, and quality—on output. To identify the priority factors affecting productivity, the Analytical Hierarchy Process (AHP) method was employed. Additionally, Root Cause Analysis (RCA) was conducted to analyze the causes of problems and propose improvements. The results of the study showed an OLE value of 76%, indicating that the operational performance effectiveness was below the global standard. AHP analysis revealed that the primary factor influencing the low OLE value, which should be prioritized for problem analysis and improvement, was the quality factor, with an eigenvector value of 0.70. To further identify quality-related issues, RCA analysis highlighted the most dominant defects based on a Pareto diagram, namely rough surfaces (69.74%) and dull finishes (15.61%). The primary causes of these defects were, Uneven operator skills, Improper machine settings, Inadequate sanding processes, Incorrect pressure during the buffing process, Excessive or insufficient use of wax, Poor workplace cleanliness

Journal of Industrial Engineering and Halal IndustriesVol. 5(2)
Islamic University of Indonesia (ID)
Openalex Percentile: Top 57%
Quality and Supply Management
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