Subagyo, Bambang (2025) Pengembang Strategi Lean Supply Chain Berbasis Balanced Scorecard Dan Analytical Network Process Untuk Optimalisasi Pemenuhan Permintaan Business To Government (B2G) Di Industri Manufaktur Elektronika. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penelitian ini difokuskan pada analisis untuk mengetahui dan mengidentifikasi kinerja dari proses supply chain pada PT XYZ dalam menjalankan Business to Government (B2G) dengan perspektif lean dan untuk memilih strategi dalam meningkatkan pemenuhan permintaan barang oleh pemerintahan pada perusahaan yang bergerak pada industri manufaktur elektronika. PT XYZ melakukan 3 model bisnis, yaitu Business to Customer (B2C), Business to Business (B2B), dan Business to Government (B2G). Pemilihan B2G dalam penelitian karena B2G merupakan salah satu penyumbang pendapatan terbesar perusahan, yaitu sebesar 27% dari total tahun fiskal 2023 dan 2024. Analisis juga didasarkan pada keterlambatan pengiriman barang yang dilakukan perusahaan sehingga mendapatkan penalti pada Q2 tahun fiskal 2023 sebesar Rp 106.493.988 dan beberapa teguran dari pelanggannya. Metode Value Stream Mapping (VSM) digunakan untuk menggambarkan rangkaian total proses yang terjadi mulai dari informasi penerimaan pesanan hingga pengiriman produk jadi ke pelanggan. Pendekatan Balanced Score-card (BSC) dengan empat perpektif yang ada dinilai dapat memberikan panduan dalam mengukur kinerja dari supply chain dan metode Analytical Network Process (ANP) digunakan sebagai alat bantu untuk memilih alternatif kriteria sebagai strategi dalam pemenuhan permintaan barang pemerintahan. Hasil dari penelitian ini adalah didapatkan tingkat lean 12.12% pada proses supply chain yang terjadi di PT XYZ. Kendala yang dialami PT XYZ adalah tingginya nilai inventory total dan freight cost, serta lamanya internal approval lead time untuk proses persetujuan kredit limit distributor. Strategi terbaik yang terpilih adalah kriteria alternatif customer delivery lead time, percepatan terhadap proses persetujuan internal, dan efisiensi dari freight cost material.
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This study focuses on the analysis to determine and identify the performance of the supply chain process at PT XYZ in running Business to Government (B2G) with a lean perspective and to choose a strategy to increase the fulfillment of government demand for goods in companies engaged in the electronics manufacturing industry. PT XYZ carries out 3 business models, namely Business to Customer (B2C), Business to Business (B2B), and Business to Government (B2G). The selection of B2G in the study because B2G is one of the company's largest revenue contributors, which is 27% of the total fiscal years 2023 and 2024. The analysis is also based on the delay in delivery of goods carried out by the company so that it received a penalty in Q2 of fiscal year 2023 of IDR 106,493,988 and several reprimands from its customers. The Value Stream Mapping (VSM) method is used to describe the total series of processes that occur from order receipt information to delivery of finished products to customers. The Balanced Score-card (BSC) approach with four existing perspectives is considered to provide guidance in measuring the performance of the supply chain and the Analytical Network Process (ANP) method is used as a tool to select alternative criteria as a strategy in fulfilling government goods demand. The results of this study are a lean level of 12.12% in the supply chain process that occurs at PT XYZ. The obstacles experienced by PT XYZ are the high value of total inventory and freight costs, as well as the long internal approval lead time for the distributor credit limit approval process. The best strategy chosen is the alternative criteria of customer delivery lead time, acceleration of the internal approval process, and efficiency of freight cost material.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Lean, Business to Government (B2G), VSM, ANP, Balanced Score-card (BSC) |
| Subjects: | T Technology > TS Manufactures > TS183 Manufacturing processes. Lean manufacturing. |
| Divisions: | Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT) |
| Depositing User: | Bambang Subagyo |
| Date Deposited: | 18 Jul 2025 06:32 |
| Last Modified: | 18 Jul 2025 06:32 |
| URI: | http://repository.its.ac.id/id/eprint/120040 |
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