Transforming Technical Competencies Through In-House Training At Gree Electric: A Strategy For Sustainable Growth

In the era of Industry 4.0, the rapid evolution of technology has created a widening gap between existing technical skills and the capabilities required to sustain high-performance manufacturing. This paper examines how Gree Electric, a global leader in consumer electronics, successfully transformed its technical workforce through a strategically designed in-house training program. The objective is to evaluate the impact of structured internal learning on workforce competence, operational efficiency, and long-term business sustainability.Using a qualitative case study approach supported by operational data, the research analyzes the design, implementation, and outcomes of Gree’s modular training system—featuring blended learning, internal certification, mentorship, and integration of emerging technologies such as AI and VR. The findings reveal significant improvements: a reduction of defect rates by 42%, productivity gains of up to 18%, and enhanced innovation capabilities across departments. More than a human resource initiative, Gree’s program demonstrates how continuous learning systems can be leveraged as strategic drivers of industrial competitiveness and sustainability. The study highlights a scalable model that can be adapted across industries facing similar digital transformation challenges.

Authors

Institutions

Publication Details

Journal
Proceeding of International Conference on Science and Technology UISU.
Published
2025-08-16
DOI
https://doi.org/10.30743/pedyqq42
Primary Topic
Education Systems and Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transforming Technical Competencies Through In-House Training At Gree Electric: A Strategy For Sustainable Growth

Zulfadli Pelawi, Luthfi Parinduri, Darmawati Darmawati
1 links
Proceeding of International Conference on Science and Technology UISU.
Education Systems and Policy
article

Transforming Technical Competencies Through In-House Training At Gree Electric: A Strategy For Sustainable Growth

Zulfadli Pelawi, Luthfi Parinduri, Darmawati Darmawati
article en

Abstract

In the era of Industry 4.0, the rapid evolution of technology has created a widening gap between existing technical skills and the capabilities required to sustain high-performance manufacturing. This paper examines how Gree Electric, a global leader in consumer electronics, successfully transformed its technical workforce through a strategically designed in-house training program. The objective is to evaluate the impact of structured internal learning on workforce competence, operational efficiency, and long-term business sustainability.Using a qualitative case study approach supported by operational data, the research analyzes the design, implementation, and outcomes of Gree’s modular training system—featuring blended learning, internal certification, mentorship, and integration of emerging technologies such as AI and VR. The findings reveal significant improvements: a reduction of defect rates by 42%, productivity gains of up to 18%, and enhanced innovation capabilities across departments. More than a human resource initiative, Gree’s program demonstrates how continuous learning systems can be leveraged as strategic drivers of industrial competitiveness and sustainability. The study highlights a scalable model that can be adapted across industries facing similar digital transformation challenges.

Proceeding of International Conference on Science and Technology UISU.
North Sumatra Islamic University (ID), Universitas Muhammadiyah Sumatera Utara (ID)
Openalex Percentile: Top 76%
Education Systems and Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.