Model Lean Supply Chain Sebagai Peningkatan Efisiensi Di Industri Garmen

Fathoni, Ahmad Arif (2025) Model Lean Supply Chain Sebagai Peningkatan Efisiensi Di Industri Garmen. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Industri fashion, khususnya fast fashion, terus berkembang dan mendorong produsen tekstil untuk menerapkan sistem pemesanan custom. Namun, variabilitas tinggi dalam desain, material, dan jumlah pesanan menyebabkan ukuran lot produksi kecil dan proses yang bervariasi, meningkatkan risiko kesalahan, terutama dalam rantai pasokan yang melibatkan supplier dan manufaktur. Penelitian ini bertujuan untuk membuat model lean supply chain untuk meningkatkan efisiensi dan mengurangi waste di rantai pasok dan manufaktur. Pendekatan DMAIC (Define, Measure, Analyze, Improve, Control) digunakan untuk mengidentifikasi dan mengatasi permasalahan di PT. XYZ. Analisis mencakup current state mapping untuk memvisualisasikan kondisi eksisting, Process Activity Mapping (PAM) untuk mengklasifikasikan aktivitas berdasarkan nilai tambah, serta penggunaan Failure Mode and Effect Analysis (FMEA) untuk mengidentifikasi potensi kegagalan. Perbaikan dilakukan dengan metode 5S dan pengembangan future state mapping. Hasil penelitian menunjukkan bahwa penerapan Value Stream Mapping (VSM) dan 5S berhasil meningkatkan efisiensi rantai pasokan dengan pengurangan waktu sebesar 10% atau peningkatan efisiensi sebesar 90%. Rekomendasi perbaikan mencakup optimalisasi distribusi bahan ke divisi produksi untuk mengurangi waktu tunggu yang tidak perlu, pembuatan database supplier yang lebih sistematis, serta penerapan 5S di area produksi seperti pengorganisasian material dan pengelolaan lingkungan kerja yang lebih rapi. Strategi ini diharapkan dapat meningkatkan kinerja rantai pasokan dengan mengurangi pemborosan, mempercepat proses produksi, dan meningkatkan kualitas produk secara keseluruhan.
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The fashion industry, especially fast fashion, continues to develop and encourages textile manufacturers to implement custom ordering systems. However, high variability in designs, materials, and order quantities leads to small production lot sizes and variable processes, increasing the risk of errors, especially in supply chains involving suppliers and manufacturers. This research aims to create a lean supply chain model to increase efficiency and reduce waste in the supply chain and manufacturing. The DMAIC (Define, Measure, Analyze, Improve, Control) approach is used to identify and overcome problems at PT. XYZ. Analysis includes current state mapping to visualize existing conditions, Process Activity Mapping (PAM) to classify activities based on added value, and the use of Failure Mode and Effect Analysis (FMEA) to identify potential failures. Improvements were made using the 5S method and development of future state mapping. The research results show that the application of Value Stream Mapping (VSM) and 5S has succeeded in increasing supply chain efficiency with a time reduction of 10% or an increase in efficiency of 90%. Recommendations for improvement include optimizing the distribution of materials to production divisions to reduce unnecessary waiting times, creating a more systematic supplier database, as well as implementing 5S in production areas such as organizing materials and managing a neater work environment. This strategy is expected to improve supply chain performance by reducing waste, speeding up the production process, and improving overall product quality.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Lean Supply Chain, Supply Chain Management, Six Sigma, DMAIC, Custom Order
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HD Industries. Land use. Labor > HD30.28 Planning. Business planning. Strategic planning. H Social Sciences > HD Industries. Land use. Labor > HD56.25 Industrial efficiency--Measurement. Industrial productivity--Measurement.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	Ahmad Arif Fathoni
Date Deposited:	05 Feb 2025 07:21
Last Modified:	05 Feb 2025 07:21
URI:	http://repository.its.ac.id/id/eprint/118156

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