SUKOCO, KIS EDI (2021) IMPLEMENTASI LEAN MANUFACTURE UNTUK MENGURANGI PEMBOROSAN PADA PROSES PRODUKSI KEMEJA TUNIK WANITA (DS 0276.124) DENGAN PENDEKATAN METODE VSM, VALSAT DAN RCA (STUDI KASUS : PT. KERJA BERSAMA SENTOSA). S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
PT. Kerja Bersama Sentosa is a company engaged in manufacturing, namely the garment industry that produces shirts and children's clothing. In recent years, there has been an increase in demand for Kemeja Tunik Wanita (DS 0276,124) where PT. Kerja Bersama Sentosa has not been able to meet this demand with the current condition of the production line. Therefore, there is a need for a Lean Manufacturing approach to increase productivity by reducing waste. The approaches used are Value Stream Mapping (VSM), Value Stream Analysis Tools (VALSAT), and Root Cause Analysis (RCA). The flow of current state values is generally shown through Current State Mapping (CSM). Based on data processing, three selected VALSAT tools were obtained, namely Process Activity Mapping (PAM), Supply Chain Response Matrix (SCRM), and Demand Amplification Mapping (DAM). In identifying the types of waste, the results obtained are Over Production, Inappropriate Inventory, Defect, Excessive Motion, Transportation, Excessive Process, and Excessive Waiting. Next, identify the root cause of waste using Root Cause Analysis (RCA) and determine the proposed corrective solution. After that, apply the proposed improvement solution into Process Activity Mapping (PAM) and Future State Mapping (FSM) so that 75.5% Value Added Activity is obtained, 24.5% Necessary Non Value Added Activity, and Waiting Time decreased from 4.410 s to 2.190 s. Keywords: Lean Manufacturing, VSM, VALSAT, RCA PT. Kerja Bersama Sentosa merupakan sebuah perusahaan yang bergerak di bidang manufacturing yaitu industri garmen yang memproduksi pakaian berjenis kemeja dan pakaian anak. Dalam beberapa tahun belakangan ini, terjadi peningkatan permintaan akan Kemeja Tunik Wanita (DS 0276.124) dimana PT. Kerja Bersama Sentosa belum mampu untuk memenuhi permintaan tersebut dengan kondisi lini produksi saat ini. Oleh karena itu, perlu adanya pendekatan Lean Manufacturing untuk meningkatkan produktifitas dengan cara mengurangi pemborosan (waste). Pendekatan yang digunakan adalah Value Stream Mapping (VSM), Value Stream Analysis Tools (VALSAT), dan Root Cause Analysis (RCA). Aliran nilai kondisi saat ini secara umum diperlihatkan melalui Current State Mapping (CSM). Berdasarkan pengolahan data, didapatkan tiga tools VALSAT terpilih yaitu Process Activity Mapping (PAM), Supply Chain Response Matrix (SCRM), dan Demand Amplification Mapping (DAM). Dalam identifikasi jenis-jenis pemborosan didapatkan hasil yaitu Over Production, Inappropriate Inventory, Defect, Excessive Motion, Transportation, Excessive Process, dan Excessive Waiting. Selanjutnya, identifikasi akar penyebab (root cause) pemborosan menggunakan Root Cause Analysis (RCA) dan menentukan usulan solusi perbaikan yang tepat. Setelah itu, mengaplikasikan usulan solusi perbaikan ke dalam Process Activity Mapping (PAM) dan Future State Mapping (FSM) sehingga didapatkan Value Added Activity 75,5%, Necessary Non Value Added Activity 24,5%, dan penurunan Waiting Time dari 4.410 s menjadi 2.190 s. Kata kunci: Lean Manufacturing, VSM, VALSAT, RCA
Item Type: | Thesis (S1) |
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NIM/NIDN Creators: | 41616010033 |
Uncontrolled Keywords: | Lean Manufacturing, VSM, VALSAT, RCA |
Subjects: | 300 Social Science/Ilmu-ilmu Sosial > 330 Economics/Ilmu Ekonomi 300 Social Science/Ilmu-ilmu Sosial > 330 Economics/Ilmu Ekonomi > 338 Production, Industrial Economics/Produksi, Ekonomi Industri 300 Social Science/Ilmu-ilmu Sosial > 330 Economics/Ilmu Ekonomi > 338 Production, Industrial Economics/Produksi, Ekonomi Industri > 338.6 Organization of Production/Organisasi Produksi |
Divisions: | Fakultas Teknik > Teknik Industri |
Depositing User: | ELMO ALHAFIIDH PUTRATAMA |
Date Deposited: | 02 Oct 2023 03:31 |
Last Modified: | 02 Oct 2023 03:31 |
URI: | http://repository.mercubuana.ac.id/id/eprint/81728 |
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