PROPOSE KNOWLEDGE MANAGEMENT SYSTEM FOR THE TIME EFFICIENT R&D DEPARTMENT OF PT AUTOMOTIVE LUMINA
The automotive industry has grown post-Covid 19, positively impacting related sectors like car lighting. Due to high demand, PT Automotive Lumina, a lamp manufacturer specializing in OEM car lights, needs better time management. Responding to RFQs for new car models poses significant challenge...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/80895 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | The automotive industry has grown post-Covid 19, positively impacting related
sectors like car lighting. Due to high demand, PT Automotive Lumina, a lamp
manufacturer specializing in OEM car lights, needs better time management.
Responding to RFQs for new car models poses significant challenges due to
delays caused by dependence on Juoku Technology. To tackle this, the company
initiated an independent R&D process, but the need for more effective
knowledge management worsens the situation, affecting competitiveness in a
rapidly changing market.
This research addresses two key questions: What Knowledge Management
system can be proposed for time efficiency in the R&D Department of PT
Automotive Lumina? and How to implement the suggested Knowledge
Management system for time efficiency in the R&D Department of PT
Automotive Lumina? Qualitative research methods were employed to study
these questions, including interviews with key stakeholders. Analysis revealed
eight sub-causes contributing to the observed problems, including a lack of
skilled personnel, ineffective knowledge management, reliance on Juoku's R&D
schedule, rapid technological advancements, inefficient processes, limited
decision-making authority, limited testing equipment in the R&D department,
and most importantly, the absence of a knowledge management system. Several
solutions to these challenges are presented based on the SECI, PPT framework,
and Core, Advanced, and Innovative knowledge framework. Direct training,
knowledge capture, and collaboration tools are among the planned knowledge
management programs at PT Automotive Lumina. Preparation procedures were
conducted in November and December 2023, with the proposed solution
implementation set to begin in February 2024. Following deployment,
knowledge management activities will be evaluated, and necessary
modifications will be made for future improvements. PT Automotive Lumina
aims to enhance time efficiency and support independent R&D through
improved knowledge management procedures.
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