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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) OPSI Journal Industrial Servicess OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Sistem dan Manajemen Industri JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING JKIE (Journal Knowledge Industrial Engineering) Matrik : Jurnal Manajemen dan Teknik Industri Produksi Indonesian Journal of Industrial Engineering & Management Spektrum Industri
Setiawan, Indra
Universitas Mercu Buana
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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Journal : OPERATION EXCELLENCE: Journal of Applied Industrial Engineering

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A systematic literature review of implementation six sigma in manufacturing industries Indra Setiawan; Fransisca Debora
Operations Excellence: Journal of Applied Industrial Engineering VOL 12, NO 3, (2020): OE NOVEMBER 2020
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2020.v12.i3.005

Abstract

The Six Sigma approach has received a lot of attention in various industrial sectors from the manufacturing industry to the service industry. More specific knowledge about Six Sigma has grown rapidly. Much of the training and research on Six Sigma is carried out in various industries and university. This literature review related to Six Sigma purpose to provide an overview of Six Sigma implementation in the manufacturing industries.  The Six Sigma approach that has been introduced and implemented for a long time is DMAIC (Define, Measure, Analyze, Improve, and Control). This paper discusses the published literature related to Six Sigma ranging from 2015 to 2020. This paper involves the study review of 50 papers related to the implementation of Six Sigma of known database search including Elsevier, Science Direct, Emerald Insight and Google Scholars. This literature review contains results from a variety of different perspectives. The perspective includes the focus of the industry, the focus of the number of distribution by country, the focus of the year of publication and the focus of the number of publishers. In fact, this is useful for all types of manufacturing industries to find solutions to problems. The paper also provides advantages for researchers next to add to the literature.
Integrasi Linear Regression dan Aggregate Planning untuk Perencanaan dan Pengendalian Produksi Leaf Spring Hino OW 190/200 di Industri Komponen Otomotif Deni Ahmad Taufik; Indra Setiawan; Muhammad Wahid; Abdul Rochim; Muhammad Tosin
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 2, (2021): OE July 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i2.023

Abstract

Production planning and control in a manufacturing company involves all production activities from raw material requirements to finished products. The Jakarta Automotive Components Industry is engaged in manufacturing which produces leaf spring products that are sent to several regular customers, namely the Automotive Assembly Industry. Leaf spring Hino OW 190/200 is the type of spring ordered and shipped to PT. HMMI. Based on data for the January-December 2019 period, the demand for Hino OW 190/200 leaf spring has fluctuated quite significantly. The purpose of this study was to plan and control the production process of Leaf Spring Hino OW 190/200. Forecasting for the next 12 periods is based on demand plots from the previous 12 periods, calculating the Aggregate production plan, determining the Master Production Schedule (MPS), calculating raw material requirements using the Hybrid and Lot for Lot methods. The results showed that to support the smooth production, it can be seen that the production planning for forecasting calculations using the Linear Regression method generates a model Y=319,575+3,723X. Calculation of the need for main raw materials and components in 2020 uses the Hybrid and Lot for Lot method, which is 256,182.88 kg, much smaller than the company's calculations based on 2019 data, namely 259,827.40 kg.
Co-Authors Abdul Rochim Ahmad Bahrudin Ahmad Mico Wahono Ahmad Mico Wahono Andie Setiyawan Deni Ahmad Taufik Deni Ahmad Taufik Djauhar Arifin Fahriza Nurul Azizah Fransisca Debora Hendra Hendra Hermiyetti Hernadewita, Hernadewita Humiras Hardi Purba Isdaryanto Iskandar Kuwat Suroto Lusia, Vivi Moh. Mawan Arifin Muh. Tosin Muhammad Tosin Muhammad Wahid Muhammad Wahid Niko Farid Aldrianto Nurdiansyah Nurdiansyah Saiful Hendra Saiful Hendra Samuel Benny Dito Setiawan Setiawan Tri Aprianto Very Fernando Wahyu Inggar Fipiana Welly atikno Welly Atikno Yulizan Rizki