PROPOSED BUSINESS PROCESS IMPROVEMENT AT PT DAYA RADAR UTAMA
Increased competition in the shipyard industry has forced every company to make improvements of business processes to achieve more effective and efficient business processes. Business processes that occur in shipyard companies in the process of shipbuilding through several stages, ranging from de...
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Format: | Theses |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/50867 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Increased competition in the shipyard industry has forced every company to make
improvements of business processes to achieve more effective and efficient business
processes. Business processes that occur in shipyard companies in the process of
shipbuilding through several stages, ranging from design to shipping.
At present the condition of PT Daya Radar Utama has problems in running its business,
namely in the planning of production processes and inventory processes. This problem
caused a delay in the LCU 1500 DWT H-390 shipbuilding project. The method used in
this study is the Adesola and Baines method which states that there are 7 stages to
improve the process. Due to limited authority and time, research was only carried out at
the stage of redesigning the process. Repairs were made using mapping and then analyzed
to find the cause of the problem that caused delays in the LCU 1500 DWT H-390
shipbuilding project.
The conclusion was the cause of the delay in the ship building project is PT Daya Radar
Utama didn’t procure ship safety equipment such as vertical stairs, milestones, small
doors, Manholes, and steel doors in advance by producing ship safety equipment before
PT Daya Radar Utama received orders from the company's customers and there are not
SOPs that implement this procedure. Besides that, the process of making and sending
NPM (Nota Permintaan Material) and TPB (Tanda Penerimaan barang) is still done
manually so it is necessary to use a system that can be automated with company data.
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