Pangesti, Andan Tunjung (2019) Pengembangan Tool Untuk Penerapan Lean Dengan Integrasi Waste Relationship Matrix (WRM) Dan House Of Risk (HOR). Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Lean merupakan salah satu cara untuk mengurangi waste. Implementasi lean terdiri dari empat tahapan yaitu 1) identifikasi waste, (2) klasifikasi waste dan akar penyebabnya, (3) memformulasikan solution tools untuk mereduksi akar penyebab waste, dan (4) menguji dan mengimplementasikan solution tools. Dalam penerapan lean diperlukan beberapa tools yang dapat mendukung implementasinya, seperti Value Stream Mapping, Root Cause Analysis, 5S, kanban. Namun, tidak banyak tool yang komprehensif dan mampu mendukung implementasi lean manufacturing mulai dari identifikasi waste hingga rekomendasi aksi perbaikan. Setiap waste memiliki hubungan dimana hubungan ini disebabkan oleh pengaruh setiap waste. Namun saat ini hubungan antar waste belum menjadi pertimbangan dalam menentukan waste kritis. Untuk itu, penelitian ini mengusulkan sebuah tool yaitu Lean Assessment Matrix (LAM), yang dapat mencakup tahap lengkap implementasi lean mulai dari identifikasi waste dan akar penyebabnya, menentukan waste kritis, dan memberikan peringkat untuk rekomendasi aksi perbaikan. LAM dikembangkan dengan didasari logika matrix House of Risk (HOR) dan diintegrasikan dengan Waste Relationship Matrix (WRM) yang mengakomodasikan Sembilan jenis waste. WRM digunakan untuk menentukan waste yang memiliki pengaruh besar terhadap waste lain berdasarkan bobotnya. LAM terdiri dari LAM 1 dan LAM 2. LAM 1 digunakan untuk mengidentifikasi waste, akar penyebabnya, dan menentukan waste kritis dengan mempertimbangkan bobot waste yang paling memiliki pengaruh. Sedangkan LAM 2 digunakan untuk memberikan aksi perbaikan yang aplikatif untuk mengeliminasi akar penyebab waste terpilih dari lean matrix 1 serta peringkatnya.
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Lean is a method for a waste elimination. It has four steps, they are (1) identification of waste, (2) classification of waste and its root cause, (3) formulation tools for reduction of root source waste, and (4) test and implementation the solution tools. During that lean manufacturing implementation, some supported tools are required, such as Value Stream Mapping, Root Cause Analysis, 5S, Kanban. However, there are few comprehensive tools that able to support lean manufacturing implementation, starting from waste identification to suggest an improvement for waste elimination. Each waste has a relationship between waste has not become a consideration in determining critical waste. Therefore, this research proposes a tool is Lean Assessment Matrix that could cover the complete stages of lean implementation starting from waste and their cause identification, the critical waste prioritizing as well as provides waste reduction plan alternatives of waste elimination action and their ranks. LAM was developed based on the logic of the House of Risk (HOR) matrix and integrated with the Waste Relationship Matrix (WRM) which accommodates nine types of waste. WRM is used to determine the most influential waste based on its weight. LAM consists of LAM 1 and LAM 2. LAM 1 is used to identify waste, its root causes, and determine critical waste by considering the weight of the influential waste. LAM 2 is used to provide applicative corrective action to eliminate the root causes of selected waste from lean matrix 1 and its rank.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Lean, House Of Risk, Waste Relationship Matrix, Lean Assessment Matrix, Nine Waste |
| Subjects: | T Technology > T Technology (General) > T174.5 Technology--Risk assessment. T Technology > T Technology (General) > T55 Industrial Safety T Technology > T Technology (General) > T58.8 Productivity. Efficiency T Technology > TS Manufactures T Technology > TS Manufactures > TS176 Manufacturing engineering. Process engineering (Including manufacturing planning, production planning) |
| Divisions: | Faculty of Industrial Technology > Industrial Engineering > 26101-(S2) Master Thesis |
| Depositing User: | Andan Tunjung Pangesti |
| Date Deposited: | 22 Jul 2026 07:41 |
| Last Modified: | 22 Jul 2026 07:41 |
| URI: | http://repository.its.ac.id/id/eprint/67253 |
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