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Penjadwalan Flow Shop dengan Metode Algoritma Heuristik Pour, Algoritma Campbell Dudek and Smith, Algoritma Tabu Search di Industri Porcelain Tableware Edhiargo Toyosito, Rakay; Citra Ramadhanti, Lifia; Yazid Bustommy, Abby
JOURNAL INFORMATION TECHNOLOGY ENGINEERING AND SCIENCE Vol 1 No 1 (2021)
Publisher : Universitas Tangerang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Porcelain tableware industry is an industry that produces household appliances. The production process must be calculated to fulfill the demand with the process. In calculation with pour algorithm method, campbell dudek and smith algorithm and tabu search algorithm by using visual basic for application software so it can speed up the calculations and avoid the errors in calculations. The objective is to minimize the constraint in the production, to fulfill the market demand and produce more quality of A and B. The calculation result of statistical test can use minitab software to find out whether the calculation can be accepted or rejected. Then, these calculation can be executed into the production of porcelain. In this research, production planning can be done by the VBA calculation result which is the campbell dudek and smith algorithm because it produce an optimal makespan compared to the other algorithm results. The comparison result of statistical test is the campbell dudek and smith algorithm produce the smallest p-value than the others. It concludes that the planning of porcelain tableware can use the campbell dudek and smith algorithm in making work sequences to minimize the processing time and have a high quality products.
Integrasi Digital Lean Automation dengan IoT untuk Efisiensi Proses Assembly di Industri Otomotif Citra Ramadhanti, Lifia; Bagus Sumantri, Ida; Koswara, Ade
Journal of Engineering Environtmental Energy and Science Vol. 1 No. 1 (2022): January 2022
Publisher : LPPMP Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/cvwdm953

Abstract

Dalam meningkatkan laba perusahaan, diperlukan beberapa pendekatan dalam proses bisnisnya. Seiring dengan perkembangan zaman, konsumen memiliki permintaan yang tinggi dalam hal suatu produk. Salah satunya adalah produk mobil lego yang dapat dijadikan sebagai prototipe pembelajaran di industri manufaktur. Semakin tinggi permintaan, maka perusahaan dituntut untuk dapat menerapkan sistem lean dalam memproduksi permintaan tersebut. Dengan pendekatan digital lean masih belum optimal karena perkembangan teknologi saat ini. Oleh karena itu, adanya pendekatan digital lean didukung oleh pendekatan teknologi (IoT) yang memaksimalkan jalur otomatisasi (full automatic line). Berdasarkan layout, dengan menerapkan semi otomatisasi pada titik awal bagi perusahaan yang baru mulai menerapkan aplikasi lean digital akan sangat membantu perusahaan dalam mengurangi biaya dari segi waktu yang terbuang karena banyak operator yang menunggu dan juga produk jadi dapat diselesaikan. tepat waktu sehingga perusahaan akan memperoleh keuntungan yang tinggi dari pelanggan. Dengan penerapan digital lean seperti semi-otomatisasi line dapat membantu dalam menghilangkan cacat dalam proses sementara, menghilangkan pemborosan dalam proses dengan meningkatkan nilai bagi pengguna akhir.
Implementasi Lean Six Sigma Berbasis DMAIC dalam Perancangan Strategi Kaizen untuk Peningkatan Kualitas Produksi Packing Chocogranule Citra Ramadhanti, Lifia; Effendi, Rizal; Edhiargo Toyosito, Rakay
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 3 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i3.2044

Abstract

This research discusses the high level of defective packaging in the WIP Chocogranule production process at PT TES, which leads to waste and reduced production efficiency. The main problem identified is non-standard packaging cuts. The study aims to determine the dominant factors causing defects and to design continuous improvement strategies using a DMAIC-based Lean Six Sigma approach combined with Kaizen, the seven quality tools, FMEA, and the 5W+1H method. The research focuses on five waste-causing factors: machines, materials, methods, manpower, and the environment. Primary data were obtained from observations of packaging defects using a sample of 100 pieces per day, while secondary data consisted of inner cellophane variance before and after improvements. The analysis results indicate that the dominant defect is non-standard packaging cuts, accounting for 73.13% of defects, with an average of 1.95 defects per 100 samples. The initial DPMO value was 8,889 with a sigma level of 3.87. The improvement phase produced six main corrective actions, including machine modifications, process standardization, changes in packing flow, increasing eyemark width, and operator training. The implementation of these improvements successfully reduced cellophane waste from 2.67% to below the company’s KPI target of 0.67%, with the DPMO value decreasing to 2,222 and the sigma level increasing to 4.34. This study demonstrates the effectiveness of Lean Six Sigma and Kaizen in improving quality and efficiency in the production process.