PROPOSED COMPETENCY MODEL TO IMPLEMENT SMART FACTORY FOR OPERATOR LEVEL IN COSMETIC MANUFACTURE (CASE STUDY PT XYZ)
Recently, the condition of cosmetic business has been challenging for PT XYZ, one of the largest cosmetic manufacturing companies and the first originator of halal cosmetics in Indonesia. PT XYZ should increase its flexibility, productivity, and ensure the stability of its product’s quality. Ther...
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Format: | Theses |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/42408 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Recently, the condition of cosmetic business has been challenging for PT XYZ, one of the largest
cosmetic manufacturing companies and the first originator of halal cosmetics in Indonesia. PT XYZ
should increase its flexibility, productivity, and ensure the stability of its product’s quality.
Therefore, manifestation on Smart Factory and applying Industry 4.0 are listed as one of PT XYZ
strategic plans for the next five years. The next challenge to be answered is how to develop people
in manufacture in order to be ready to face the current and future condition. Human error and safety
are still becoming the issue due to the lack of knowledge and awareness. Operator education level
could also become the potential obstacle. Thus, to develop and recruit the people to fit the smart
factory conditions, company should define the competency model for operator level to work in the
future condition.
The first step to define the competency model was defining the framework of competency model
hence it could accommodate the needs of users. After that, the competency model content were
defined by reviewing job, major task, knowledge, hard skills, and attitude needed by operator to
perform the job. Author also defined the required soft-skills by comparing company’s competency
profile to literature regarding Industry 4.0. Primary and secondary data were used during the
development of the model. The primary data were obtained through interview and discussion to
related leaders on manufacturing division while the secondary data were focused on previous
studies related to Industry 4.0 implementation in manufacturing industry.
From data analysis, there are four job-related competencies (technical competency) and four main
soft-skills (non-technical competency) that are directly supporting the implementation of Smart
Factory. Furthermore, the list of required competencies were arranged in the form of flow chart to
illustrate the interrelation between competencies (Base and Pillar Competency Model) and in the
form of Competency Matrix Mapping Model to make operator development process more
convenient. |
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