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Ats-Tsauri, Muhammad Ibrahim
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Control & Systems Engineering Industrial & Manufacturing Engineering

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Tinjauan Literatur Sistematis Implementasi Total Quality Management pada Industri Manufaktur – Tren Terkini dan Arahan Masa Depan Ats-Tsauri, Muhammad Ibrahim; Setiawan, Rudy; Wiyatno, Tri Ngudi
JURNAL TEKNIK INDUSTRI Vol. 2 No. 2 (2021): JURNAL TEKNIK INDUSTRI : NOVEMBER 2021
Publisher : DPPM UNIVERSITAS PELITA BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (847.511 KB)

Abstract

Tujuan utama dari makalah ini adalah untuk menganalisis penelitian terkini tentang Total Quality Management (TQM) di industri manufaktur dan mengidentifikasi peluang penelitian lebih lanjut. Penelitian ini menggunakan tinjauan pustaka sistematis dari artikel ilmiah terbaru (2016-2021) yang dicari dengan mengikuti kriteria inklusi dan eksklusi yang spesifik. Ditemukan tiga kategori utama tujuan penelitian, yaitu: pengembangan TQM, strategi TQM, dan dampak TQM. Beberapa tahun belakangan, riset mengenai dampak TQM adalah yang paling populer dan selalu ada dari tahun ke tahun, sedangkan riset mengenai pengembangan TQM adalah yang paling tidak popular. Penelitian ini dapat memberikan wawasan kepada peneliti, konsultan, dan manajer kualitas dalam pengembangan dan implementasi TQM di sektor manufaktur. Penelitian ini menemukan bahwa meskipun penelitian tentang bagian-bagian TQM (seperti alat TQM) sangat banyak, penelitian tentang metodologi TQM secara menyeluruh ternyata tidak banyak. Riset empiris tentang digitalisasi TQM atau yang lebih dikenal dengan Quality 4.0 bahkan belum ada, padahal sudah dipopulerkan sejak tahun 2017 setelah berkembangnya ndustri 4.0.
Optimisasi Non Linear Programming Multivariat pada Perencanaan Produksi Industri Manufaktur Baja Lapis Seng (BjLS) Ats-Tsauri, Muhammad Ibrahim; Arrasyid, Ayata; Wiyatno, Tri Ngudi
JURNAL TEKNIK INDUSTRI Vol. 3 No. 1 (2022): JURNAL TEKNIK INDUSTRI : MEI 2022
Publisher : DPPM UNIVERSITAS PELITA BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (683.147 KB) | DOI: 10.37366/JUTIN0301.1625

Abstract

The main objective of this study was to examine the potential of production planning process optimization in Zinc Plated Steel (BjLS) manufacturing industry through Non Linear Programming (NLP) simulation. The manufacturing industry in the steel sub -sector is one of the strategic industries as it is a pillar of national development. Global competition requires companies to continuously improve the efficiency of their production activities, which is heavily influenced by the production planning process. With good production planning, it is hoped that the company can optimize the use of limited resources to achieve the company's goals. This study found that the most appropriate optimization to the real situation of the BjLS manufacturing industry is multivariate NLP with constraints on production volume, production time, raw material supply and budget to purchase raw materials. This research can also provide input on the production mix that best suits the company’s resources.
Optimisasi Sistem Antrian di Era Pandemi untuk Meningkatkan Kinerja Pelayanan Stasiun Pengisian Bahan Bakar Umum (SPBU) Ats-Tsauri, Muhammad Ibrahim; Siddik, Abdullah Fawzy; Wiyatno, Tri Ngudi
JURNAL TEKNIK INDUSTRI Vol. 3 No. 1 (2022): JURNAL TEKNIK INDUSTRI : MEI 2022
Publisher : DPPM UNIVERSITAS PELITA BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (782.659 KB) | DOI: 10.37366/JUTIN0301.3337

Abstract

From the results of observations at petrol station 34–17521 South Tambun, it was found that in a certain period there were queues exceeding the service standard of petrol stations causing customers to leave the queue. This study aims to measure the performance of gas station queues and propose a queuing line system optimization strategy with Multi Channel Single Phase (M/M/S) queuing model. Collect data using in -depth observations and interviews. Queuing data was taken for two weeks during the COVID-19 pandemic, daily from 06.00 to 20.00 WIB. From the results of the study, service optimization strategy is proposed with 3 channels at 17.00 - 18.00 WIB and 2 channels at 06.00 - 07.00, 12.00 - 13.00, 16.00 - 17.00, and 18.00 - 19.00 to reduce the number of queues at 18.00 - 19.00. to achieve gas station performance targets and maintain customer satisfaction.
Co-Authors Arrasyid, Ayata Rudy Setiawan Siddik, Abdullah Fawzy Tri Ngudi Wiyatno