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Tanti Octavia
Faculty of Industrial Technology, Petra Christian University
Industrial & Manufacturing Engineering

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PETA KENDALI X DENGAN UKURAN SAMPEL DAN INTERVAL PENGAMBILAN SAMPEL YANG BERVARIASI Pauline Astari Singgih; Siana Halim; Tanti Octavia
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 2 No. 2 (2000): DESEMBER 2000
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (81.058 KB) | DOI: 10.9744/jti.2.2.72-83

Abstract

Shewhart X chart is widely used in statistical process control for monitoring variable data and has shown good performance in detecting large mean shift but less sensitive in detecting moderate to small process shift. X chart with variable sample size and sampling interval (VSSI X chart) is proposed to enhance the ability of detecting moderate to small process shift. The performance of VSSI X chart is compared with those of Shewhart X chart, VSS X chart (Variable Sample Size X chart) and VSI X chart (Variable Sampling Interval X chart). Performance of these control charts is presented in the form of ATS (Average Time to Signal) which is obtained from computer simulation and markov chain approach. The VSSI X chart shows better performance in detecting moderate mean shift. The simulation is then continued for VSSI X chart and VSS X chart with minimum sample size n 1=1 and n 1=2. Abstract in Bahasa Indonesia : Peta kendali X Shewhart telah umum digunakan dalam pengendalian proses statistis untuk data variabel dan terbukti berfungsi dengan baik untuk mendeteksi pergeseran rerata yang besar, namun kurang cepat dalam mendeteksi pergeseran rerata yang sedang hingga kecil. Untuk mengatasi kelemahan ini, diusulkan penggunaan peta kendali X dengan ukuran sampel dan interval pengambilan sampel yang bervariasi (peta kendali VSSI). Kinerja peta kendali X VSSI dibandingkan dengan kinerja peta kendali Shewhart, peta kendali X VSS (peta kendali X dengan ukuran sampel yang bervariasi), dan peta kendali X VSI (peta kendali X dengan interval waktu pengambilan sampel yang bervariasi). Kinerja peta kendali dinyatakan dalam nilai ATS (Average Time to Signal) yang didapatkan dari hasil simulasi program komputer maupun perhitungan Rantai Markov. Peta kendali X VSSI terbukti mempunyai kinerja yang lebih baik dalam mendeteksi pergeseran rerata yang sedang. Selain itu juga disimulasikan penggunaan peta kendali X VSSI dan peta kendali X VSS dengan ukuran sampel minimum n1=1 dan n1=2. Kata kunci: peta kendali X, variable sample size, variable sampling interval, ATS.
IMPLEMENTASI TOTAL PRODUCTIVE MAINTENANCE DI DEPARTEMEN NON JAHIT PT. KERTA RAJASA RAYA Tanti Octavia; Yenny Amelia; Ronald E. Stok
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 3 No. 1 (2001): JUNE 2001
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (35.615 KB) | DOI: 10.9744/jti.3.1.18-25

Abstract

The effectivity improvement of production facility in factory is not only on facility manitenance but also on human resources. Total Productive Maintenance (TPM) gives an optimal solution to effectivity improvement. A case study of TPM implementation have done in non sewing department of PT Kerta Rajasa Raya. Abstract in Bahasa Indonesia : Peningkatan efektivitas dari fasilitas produksi di suatu perusahaan bukan hanya terbatas pada perawatan fasilitas kerja saja tetapi juga sumber daya manusia. Total Productive Maintenance (TPM) memberikan suatu solusi optimal terhadap peningkatan efektivitas dengan melibatkan semua sumber daya manusia yang bertanggung jawab terhadap fasilitas produksi. Suatu studi kasus terhadap pengimplementasian TPM dilakukan di departemen non jahit PT. Kerta Rajasa Raya. Kata kunci : TPM, MTTF, Autonomous Maintenance.
A MODIFIED GIFFLER AND THOMPSON ALGORITHM COMBINED WITH DYNAMIC SLACK TIME FOR SOLVING DYNAMIC SCHEDULE PROBLEMS Tanti Octavia
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 5 No. 2 (2003): DECEMBER 2003
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (215.65 KB) | DOI: 10.9744/jti.5.2.71-80

Abstract

A Modified Giffler and Thompson algorithm combined with dynamic slack time is used to allocate machines resources in dynamic nature. It was compared with a Real Time Order Promising (RTP) algorithm. The performance of modified Giffler and Thompson and RTP algorithms are measured by mean tardiness. The result shows that modified Giffler and Thompson algorithm combined with dynamic slack time provides significantly better result compared with RTP algorithm in terms of mean tardiness.
NEW ISSUES OF ATP SYSTEMS IN A SUPPLY CHAIN (Literature Review) Tanti Octavia
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 6 No. 2 (2004): DECEMBER 2004
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (48.308 KB) | DOI: 10.9744/jti.6.2.142-147

Abstract

This paper discusses the concept of studies an Available to Promise (ATP) system by looking beyond what traditionally highlighted in literature concerning Supply Chain. Advanced ATP systems are implemented in practice depends on the company's strategy. However, The performance measures of ATP system become very important and more complex in order to measure the efficiency and effectiveness of ATP system in a supply chain. This paper concludes seven factors influence ATP system in a supply chain.
ROBUST-HYBRID GENETIC ALGORITHM FOR A FLOW-SHOP SCHEDULING PROBLEM (A Case Study at PT FSCM Manufacturing Indonesia) Johan Soewanda; Tanti Octavia; Iwan Halim Sahputra
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 9 No. 2 (2007): DECEMBER 2007
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (234.804 KB) | DOI: 10.9744/jti.9.2.144-151

Abstract

This paper discusses the application of Robust Hybrid Genetic Algorithm to solve a flow-shop scheduling problem. The proposed algorithm attempted to reach minimum makespan. PT. FSCM Manufacturing Indonesia Plant 4's case was used as a test case to evaluate the performance of the proposed algorithm. The proposed algorithm was compared to Ant Colony, Genetic-Tabu, Hybrid Genetic Algorithm, and the company's algorithm. We found that Robust Hybrid Genetic produces statistically better result than the company's, but the same as Ant Colony, Genetic-Tabu, and Hybrid Genetic. In addition, Robust Hybrid Genetic Algorithm required less computational time than Hybrid Genetic Algorithm
Co-Authors Iwan Halim Sahputra Johan Soewanda Oviliani Yenty Yuliana Pauline Astari Singgih Ronald E. Stok Siana Halim Yenny Amelia