Christofer, Yosafat (2021) DOBEL. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sebuah survei yang dilakukan Capgemini pada tahun 2016 menghasilkan beberapa aspek yang diperlukan perusahaan penyedia jasa logistik untuk sukses, dimana aspek tersebut merupakan pengelolaan rantai pasok dengan diiringi dengan penyesuaian dengan perkembangan teknologi. Supply Chain Operations Reference (SCOR) Model versi 12 dapat diterapkan untuk mencapai aspek tersebut untuk mengelola rantai pasok secara sistematis pada aspek-aspek rantai pasok suatu organisasi. SCOR Model digunakan untuk mengidentifikasi proses serta keterkaitannya dengan proses lainnya, dan menghasilkan atribut performansi berdasarkan proses tersebut. Penelitian ini menggunakan SCOR Model untuk membentuk sistem pengukuran kinerja rantai pasok, Analytical Hierarchy Process (AHP) untuk menentukan bobot kepentingan setiap atribut performansi, Objective Matrix (OMAX) dan Traffic Light System untuk mengategorikan hasil performansi, dan Root Cause Analysis (RCA) untuk mengidentifikasi serta menganalisis hasil kinerja rantai pasok pada perusahaan. Penelitian ini menghasilkan tujuh indikator performansi pada metrik performansi level-1 SCOR Model dan tujuh belas indikator performansi pada metrik performansi level-2 SCOR Model. Pengukuran performansi rantai pasok pada perusahaan objek amatan ini mendapatkan nilai sebesar 88% pada metrik level-1 dan 83,26% pada metrik performansi level-2. OMAX scoring system menunjukkan terdapat 2 indikator performansi yang berada dalam zona performansi yang buruk, sehingga dilakukan analisis mendalam dengan metode RCA untuk mengetahui penyebabnya.
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A survey conducted by Capgemini in 2016 resulted in several aspects that logistics service providers need to be successful, where these aspects are supply chain management accompanied by adjustments to technological developments. Supply Chain Operations Reference (SCOR) Model version 12 can be applied to achieve these aspects to systematically manage supply chains in supply chain aspects of an organization. SCOR Model is used to identify processes and their relationships with other processes, and generate performance attributes based on these processes. This study uses the SCOR Model to form a supply chain performance measurement system, Analytical Hierarchy Process (AHP) to determine the weight of importance for each performance attribute, Objective Matrix (OMAX) and Traffic Light System to categorize performance results, and Root Cause Analysis (RCA) to identify and analyze the results of supply chain performance in the company. This study resulted in seven performance indicators on the level-1 SCOR Model performance metrics and seventeen performance indicators on the SCOR Model level-2 performance metrics. The measurement of supply chain performance at the company's object of observation gets a value of 88% on the level-1 metric and 83.26% on the level-2 performance metric. The OMAX scoring system shows that there are 2 performance indicators that are in the poor performance zone, so an in-depth analysis using the RCA method is carried out to find out the cause.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | SCOR Model, Objective Matrix, Root Cause Analysis, Third-party Logistics |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP |
Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
Depositing User: | Yosafat Christofer |
Date Deposited: | 17 May 2024 06:48 |
Last Modified: | 17 May 2024 06:48 |
URI: | http://repository.its.ac.id/id/eprint/86400 |
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