Identifikasi Waste Kritis Berbasis Best-Worst Method Dan Prioritas Solusi Dengan Combined Compromise Solution Sebagai Upaya Peningkatan Efisiensi Produksi Pada PLJ

Permatasari, Ardyana Angela (2025) Identifikasi Waste Kritis Berbasis Best-Worst Method Dan Prioritas Solusi Dengan Combined Compromise Solution Sebagai Upaya Peningkatan Efisiensi Produksi Pada PLJ. Other thesis, Institut Teknologi SepuluhNopember.

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Abstract

Perusahaan Lampu Jalan (PLJ) merupakan perusahaan yang bergerak pada industri peralatan pencahayaan sejak tahun 2013 dengan salah satu yang diproduksi yaitu Penerangan Jalan Umum (PJU). Saat ini, PLJ telah berkembang menjadi pemasok utama kebutuhan PJU di sebagian besar wilayah Indonesia melalui kerja sama dengan berbagai pemerintah kota dan kabupaten. Seiring dengan meningkatnya permintaan PJU, PLJ harus memenuhi seluruh permintaan dengan bekerja secara overtime. Dalam meminimalisir overtime, PLJ perlu meningkatkan efisiensi proses produksi guna menunjang kinerja perusahaan dalam memenuhi lebih banyak permintaan dan meningkatkan jangkauan wilayah supply. Dalam mencapai tujuan tersebut, penelitian ini menerapkan konsep Lean Manufacturing, yaitu filosofi yang berfokus pada continuous improvement dan sejalan dengan prinsip Kaizen maupun Toyota Production System (TPS). Penelitian ini menggunakan beberapa metode, yaitu Value Stream Mapping (VSM) dan Process Activity Mapping (PAM) untuk mengidentifikasi waste dengan mengklasifikasikan aktivitas yang tidak bernilai tambah. Selanjutnya, Best-Worst Method diterapkan untuk menentukan waste kritis melalui pairwise comparison berdasarkan aktivitas proses produksi yang diperoleh melalui observasi langsung di area kerja. Identifikasi akar penyebab waste kritis dilakukan dengan metode 5 Why’s Analysis. Kemudian, metode Combined Compromise Solution (CoCoSo) untuk menentukan prioritas solusi perbaikan melalui peringkat pembobotan. Melalui pendekatan tersebut, diperoleh rancangan solusi terpilih yaitu penggunaan kanban dan pengawasan berkala serta penerapan line balancing yang berpengaruh pada efisiensi proses produksi PJU diestimasikan dapat meningkat sebesar 74% dimana pada kondisi eksisting efisiensi produksi hanya sebesar 58% menjadi 132% pada kondisi improvement. ====================================================================================================================================
Perusahaan Lampu Jalan (PLJ) is a company that focuses in the lighting equipment industry since 2013, specializing in the production of Penerangan Jalan Umum (PJU). Currently, PLJ has grown to become a primary supplier of PJU across most regions in Indonesia through partnerships with local governments in each region. Following with the increasing
demand for PJU, PLJ has been required to fulfill all orders by operating with overtime work. To minimize overtime work, PLJ needs to improve the efficiency of its production processes in order to enhance the company’s performance in meeting higher demand and expanding its supply coverage area. To achieve this objective, this study adopts the concept of Lean Manufacturing, a philosophy that focuses on continuous improvement and aligns with the principles of Kaizen and the Toyota Production System (TPS). This research employs several methods, namely Value Stream Mapping (VSM) and Process Activity Mapping (PAM) to identify waste by classifying non-value-added activities. Subsequently, the Best-Worst Method is applied to determine the most critical waste through pairwise comparisons based on production process activities observed directly in the workplace. The root causes of the critical waste are identified using the 5 Why’s Analysis method. Then, the Combined Compromise Solution (CoCoSo) method is utilized to prioritize improvement solutions through weighted ranking.Through this approach, a selected solution design was obtained, which includes the implementation of kanban, periodic supervision, and line balancing. These improvements are estimated to increase the production efficiency of PJU by 74%, from an existing efficiency rate of 58% to 132% in the improved condition.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Lean Manufacturing, Best-Worst Method (BWM), 5 Why’s Analysis, Combined Compromise Solution (CoCoSo)
Subjects:	T Technology > TS Manufactures > TS183 Manufacturing processes. Lean manufacturing.
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Ardyana Angela Permatasari
Date Deposited:	02 Jul 2025 03:16
Last Modified:	02 Jul 2025 03:16
URI:	http://repository.its.ac.id/id/eprint/119312

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