Sinulingga, Irma Dani Br (2024) Analisis Lean Manufacturig Dengan Metode Waste Assessment Model (WAM) Untuk Mengurangi Waste Pada Proses Produksi Baut PT. Timur Megah Steel Gresik. Undergraduate thesis, Universitas Pembangunan Nasional "Veteran" Jawa Timur.
Text (COVER)
20032010039_Cover.pdf Download (2MB) |
|
Text (BAB I)
20032010039_Bab I.pdf Download (884kB) |
|
Text (BAB II)
20032010039_Bab II.pdf Restricted to Repository staff only until 17 July 2026. Download (863kB) | Request a copy |
|
Text (BAB III)
20032010039_Bab III.pdf Restricted to Repository staff only until 17 July 2026. Download (521kB) | Request a copy |
|
Text (BAB IV)
20032010039_Bab IV.pdf Restricted to Repository staff only until 17 July 2026. Download (2MB) | Request a copy |
|
Text (BAB V)
20032010039_Bab V.pdf Download (339kB) |
|
Text (DAFTAR PUSTAKA)
20032010039_Daftar Pustaka.pdf Download (341kB) |
|
Text (LAMPIRAN)
20032010039_Lampiran.pdf Restricted to Repository staff only until 17 July 2026. Download (6MB) | Request a copy |
Abstract
PT.XYZ was established in 1975 and is a manufacturer of bolts, nuts, anchor bolts, stud bolts, tapping screws, and washers in Southeast Asia, with an annual production capacity of 48,000 tons. These products serve various industries such as construction, manufacturing, automotive, and general industries. Despite careful planning, challenges in large production volumes and varied product specifications remain obstacles in meeting customer demand. Amidst global competition and stringent industry standards, implementing lean manufacturing is crucial to enhance efficiency and competitiveness. This study aims to identify waste ≤ 17% using the Waste Assessment Model, conduct Root Cause Analysis to pinpoint waste origins, and propose improvement strategies using 5W+1H Analysis. Findings reveal Inventory (21.44%) as the highest waste contributor, attributed to interdepartmental coordination issues, production errors, lack of operator focus, delayed resource availability, and production flow bottlenecks. Additionally, Defects (18.47%) arise from excessive workload on production operators. Improvement recommendations include enhancing interdepartmental coordination, refining production scheduling, evaluating production processes, and conducting training and evaluations to enhance operator skills. Keywords : Analysis 5W+1H,Rood Cause Analysis,Waste Asessment Model
Item Type: | Thesis (Undergraduate) | ||||||||
---|---|---|---|---|---|---|---|---|---|
Contributors: |
|
||||||||
Subjects: | T Technology > T Technology (General) > T55.4-60.8 Industrial engineering. Management engineering | ||||||||
Divisions: | Faculty of Engineering > Departement of Industrial Engineering | ||||||||
Depositing User: | Irma Dani Br Sinulingga | ||||||||
Date Deposited: | 17 Jul 2024 08:10 | ||||||||
Last Modified: | 17 Jul 2024 08:10 | ||||||||
URI: | https://repository.upnjatim.ac.id/id/eprint/26350 |
Actions (login required)
View Item |