Methodological Approaches on Fuzzy Logic Applications in Selected Companies

2018 ◽  
pp. 76-88
Keyword(s):  
Fuzzy Logic ◽  
Thermal Power ◽  
Root Cause ◽  
Water Gate ◽  
Analysis Technique ◽  
Gate Control ◽  
Generation Company ◽  
Platinum Mining ◽  
Study Application

The chapter is based on fuzzy logic approaches to machinery failure analysis. Six companies and organisations were used as model validation case studies. At a platinum mining company, the research was based on the root cause analysis technique. The objective was to determine the major causes of failure of the pebble crusher, to estimate between the major crusher failures, and to provide suitable solutions that included the optimization of the crushing circuit. The second application was done on beverages manufacturing companies focusing on the bottle washing process. The third company used a reactive and firefighting maintenance strategy which resulted in frequent catastrophic breakdowns, ever increasing maintenance costs, and long, unplanned plant shutdowns. The fourth was done for a hydropower generation company. The dynamic characteristics of these systems are nonlinear and difficult to predict. The fifth case study application focused on the water gate control and avoidance of its failure. The sixth and final case study application was at a thermal power generation company.

Fuzzy Logic Application and Condition Monitoring of Critical Equipment in a Thermal Power Generation Company

2018 ◽  
pp. 244-289
Keyword(s):  
Power Generation ◽  
Fuzzy Logic ◽  
Large Scale ◽  
Thermal Power ◽  
Industrial Applications ◽  
Generation Company ◽  
Super Heater ◽  
Thermal Power Generation ◽  
Study Application

The final case study application was at a thermal power generation company. In large-scale industrial applications, the controlling and optimization of the parameters must be done efficiently and effectively so as to attain smooth operation of the plant. In this research, the main control parameters in the boiler were identified as coal flows, temperatures in the combustion zone, air-to-fuel ratio and ash content, that is, the percentage of ash in raw coal, and mineral content. These parameters are monitored to avoid clinker formation in the super heater tubes of the boiler. Condition-based maintenance (CBM) approaches were used to monitor the boiler parameters. Fuzzy logic was applied in the monitoring of these parameters.

scholarly journals Midblock U-Turn and Elevated U-Turn Safety and Economy Comparison: A Case Study Application

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Osama H. Ahmed ◽  
Ibrahim M. I. Ramadan ◽  
Mohamed S. Abdel-Monem
Keyword(s):  
Cost Analysis ◽  
Limited Capacity ◽  
Benefit Cost Analysis ◽  
Traffic Capacity ◽  
Analysis Technique ◽  
Accident Rates ◽  
Benefit Cost ◽  
Study Application ◽  
Two Alternatives

Abstract In Egypt, intersections are encountering congestion and safety problems. Midblock U-turns have been used for solving these problems. The midblock U-turn increased the accidents, besides, it has limited capacity. In the last decade, elevated U-turns have been applied to solve these problems. The extensive use of elevated U-turns has not been accompanied by any research for studying the performance of elevated U-turns with respect to safety and economy. This paper developed a simple framework for comparing elevated and traditional midblock U-turns in terms of safety and economy. The study applied a case study to evaluate the two alternatives using a benefit-cost analysis technique. Although the results show the high cost of the elevated U-turns, it has been demonstrated to be the best solution since they provide the greater traffic capacity and lower accident rates. Accident number reported at elevated U-turns was 59 % less than the number associated with traditional U-turns.

Fuzzy Logic Application in Improving Maintenance in a Mining Company (PMC)

2018 ◽  
pp. 129-157
Keyword(s):  
Crack Detection ◽  
Bearing Failure ◽  
Main Shaft ◽  
Destructive Testing ◽  
Mining Company ◽  
Root Cause ◽  
Analysis Technique ◽  
Platinum Mining ◽  
Solid Works ◽  
Non Destructive

At a platinum mining company, the research was based on the root cause analysis technique. The objective was to determine the major causes of failure of the pebble crusher, to estimate between the major crusher failures and provide suitable solutions that included the optimization of the crushing circuit. Major failures were investigated including the breaking of the main shaft, bearing failure, and also entry of tramp iron in the crushing chamber. In solving these problems, analysis of stresses was done using solid works 2015, and condition monitoring techniques were applied using MATLAB 2015 to investigate the development of the crack in the shaft. The results showed that EN 19 has better physical properties than EN 9 and EN 26. EN 19 was recommended for the construction of the main shaft. Crack detection prediction by using MATLAB can be complemented and validated by the use of non-destructive testing.

scholarly journals A Case Study on Defining a “Quality Algorithm” Based on Correlation between ‘Existing Quality Model, Different Attributes of Defects & Tests’

2018 ◽  
Vol 7 (3.4) ◽  
pp. 235
Author(s):  
Abhishek Anurag ◽  
R Kamatchi
Keyword(s):  
Software Systems ◽  
User Requirements ◽  
Software System ◽  
Improve Quality ◽  
Quality Model ◽  
Cause Analysis ◽  
Root Cause ◽  
Analysis Technique

Usage and nature of software systems have changed significantly. Due to this complexity of software systems has also grown exponentially. In these ever-changing requirements and environment in which software system is being used, maintaining quality of software system is very challenging and difficult. If user requirements are not met as expected, it’s called defect. To improve quality, it’s critical to understand and analyze these defects. In this study root cause analysis technique is used to analyze defects and their attributes, root cause of defects and corrective actions of defects. A quality model is designed based on defects, root cause of defects and tests. A quality algorithm is designed in this study depending on existing quality model, defects, tests and their attributes. This quality algorithm is executed on a software system to validate quality model. The results obtained are analyzed to understand the quality of the software system and how it’s different than existing quality model. 

ANALISIS KINERJA KEUANGAN IAIN PONTIANAK TAHUN 2014-2018 BERDASARKAN PENDEKATAN BALANCE SCORECARD

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
JATRIANA B2041142013
Keyword(s):  
Higher Education ◽  
Balanced Scorecard ◽  
Six Sigma ◽  
Balance Scorecard ◽  
The Balanced Scorecard ◽  
College And University ◽  
University Planning ◽  
Education Journal ◽  
Study Application

Penelitian ini bertujuan untuk mengukur kinerja keuangan kampus IAIN Pontianak menggunakan pendekatan Balance Scorecard. Metode penelitian ini adalah kuantitatif dengan menggunakan statistika untuk menganalisis sampel yang digunakan sebanyak 664 orang mahasiswa dan 193 orang dosen dan pegawai. Hasil penelitian menyatakan bahwa variabel perspektif pelanggan, perpektif bisnis internal dan variabel perspektif pertumbuhan dan pembelajaran, masing-masing berpengaruh positif dan signifikan terhadap peningkatan kinerja keuangan IAIN Pontianak.Kata Kunci : Balance Scorecard, IAIN Pontianak, Kinerja KeuanganDAFTAR PUSTAKA Andriyanto, R. W., & Metalia, M. (2010). Efektivitas Balanced Scorecard Dalam Maningkatkan Kinerja Manajerial Badan Usaha Milik Negara (Bumn). Jurnal Akuntansi dan Investasi, 11(2), 97-114.Arikunto, S. 1992. Prosedur penelitian: Suatu pendekatan praktik. Rineka Cipta.Bastian, Indra. 2006. Akutansi Sektor Publik, Suatu Pengantar. Jakarta: Airlangga.Brown, Cindy. 2012. Application of the Balanced Scorecard in Higher Education: Opportunities and Challenges - An Evaluation of Balanced Scorecard Implementation at the College of St. Scolastica. SCUP; Society for College and University Planning. www.scup.org/phe.html.Effendi, R. (2012). Pengukuran Kinerja Sektor Publik Dengan Menggunakan Balanced Scorecard (Studi Kasus Kanwil DJP Sumsel dan Kep. Babel). Jurnal Ilmiah Stie Mdp, 1(2), 67-73.Gaspersz, Vicent. 2002. Sistem Manajemen Kinerja Terintegrasi: Balanced Scorecard dengan Six Sigma untuk Organisasi Bisnis dan Pemerintah. Cet ke-3, Jakarta: Gramedia Pustaka UtamaHandayani, S. (2017). Analisis Balanced Scorecard Sebagai Tolok Ukur Kinerja Perusahaan Pada Pt Pos Indonesia ( Persero ) Lamongan. Jurnal Penelitian Ekonomi dan Akuntansi, II(3), 589-601.IAIN Pontianak. 2019. “Sistem Informasi Akademik Institut Agama Islam Negeri Pontianak.” Mahasiswa IAIN Pontianak. www.sia.iainptk.ac.id.Kaplan, S. Robert, and David P. Norton. 2000. Balanced Scorecard, Menerapkan Strategi Menjadi Aksi. Jakarta: Penerbit Erlangga.Karathanos, Dementrius, and Patricia Karathanos. 2005. “Appliying the Balanced Scoredard to Education.” Journal of Education for Business: 222–30.Kemenristek Dikti RI. 2019. “Pangkalan Data Pendidikan Tinggi:  Kementrian Riset , Teknologi, Dan Pendidikan Tinggi.” Tenaga Pendidik  IAIN Pontianak. www/forlap.ristekdikti.go.id.Kementrian Agama RI. 2019. “Seleksi Prestasi Akademik Nasional APerguruan Tinggi Keagamaan Islam Negeri.” SPAN PTKIN 2019. https://span-ptkin.ac.id.Mahsun, Muhammad. 2006. Pengukuran Kinerja Sektor Publik. 1st ed. Yogyakarta: BPFE.Mardiasmo. 2004. Akuntansi Sektor Publik. 1st ed. Yogyakarta: BPFE.Mulyadi. 2007. Balanced Scorecard, Alat Manajemen Kontemporer Untuk Pelipatganda Kinerja Keuangan Perusahaan. 1st ed. Jakarta: Penerbit Salemba Empat.Nugrahini, I. A. P., Ratnadi, N. M. D., & Putri, I. G. A. M. A. D. (2016). Penilaian Kinerja Berdasarkan Balanced Scorecard Pada Badan Penanaman Modal Dan Perijinan Daerah Kabupaten Tabanan. E-Jurnal Ekonomi dan Bisnis Universitas Udayana, 5(4), 829-856.Rollins, Andrea Mae. 2011. “A Case Study: Application of Balanced Scorecard in Hingher Education.” PhD Dissertation. San Diego State University.Singarimbun, Masri, and Sofian Effendi. 1989. Metode Penelitian Survey. Jakarta: LP3ES.Sugiono. 2005. Metode Penelitian Bisnis. Bandung: Alfabeta.Suta, I. W. P., & Dwiastuti, G. A. A. S. A. (2016). Pengukuran Kinerja Dengan Pendekatan Balanced Scorecard Pada Kantor Pusat Pt Bank Pembangunan Daerah Bali. Jurnal Bisnis Dan Kewirausahaan, 12(1), 32-41.Syarbaini, Khatib. 1986. “Fakultas Tarbiyah (Ketikan Manual).”Yassin, A., Musadieq, M. A., & Afrianty, T. W. (2016). Pengaruh Balanced Scorecard Dan Knowledge Management Terhadap Kinerja Karyawan Dan Kinerja Perusahaan (Studi Pada Karyawan Pt Semen Indonesia (Persero) Tbk). Jurnal Administrasi Bisnis, 33(2), 125-134.

Case Study of ESD-induced Pin Leakage Failure Solved Using Novel Powered TIVA Technique

2018 ◽  
Author(s):  
Sneta Mishra ◽  
Daniel R. Bockelman
Keyword(s):  
Root Cause ◽  
Leakage Failure

Abstract A case study is presented of a core CPU product where FA/FI debug is performed for an ESD-related pin leakage issue on an IO family to root cause and qualify the product. A Powered TIVA technique is used to localize the damage to the termination resistor circuitry of the affected IO block when the pin is tristated using a device tester. Failure characterization shows a gate to drain short on the transistor, with nanoprobing confirming a solid short on gate to drain and TEM finding a short at the location indicated by the TIVA hits.

Advanced IR-OBIRCH Analysis Technique for High Isb Failure Analysis

2010 ◽  
Author(s):  
Kuo Hsiung Chen ◽  
Wen Sheng Wu ◽  
Yu Hsiang Shu ◽  
Jian Chan Lin
Keyword(s):  
Failure Analysis ◽  
Failure Mechanisms ◽  
Fault Localization ◽  
Resistance Change ◽  
The Real ◽  
Analysis Techniques ◽  
Analysis Technique ◽  
Leakage Failure ◽  
Failure Site

Abstract IR-OBIRCH (Infrared Ray – Optical Beam Induced Resistance Change) is one of the main failure analysis techniques [1] [2] [3] [4]. It is a useful tool to do fault localization on leakage failure cases such as poor Via or contact connection, FEoL or BEoL pattern bridge, and etc. But the real failure sites associated with the above failure mechanisms are not always found at the OBIRCH spot locations. Sometimes the real failure site is far away from the OBIRCH spot and it will result in inconclusive PFA Analysis. Finding the real failure site is what matters the most for fault localization detection. In this paper, we will introduce one case using deep sub-micron process generation which suffers serious high Isb current at wafer donut region. In this case study a BEoL Via poor connection is found far away from the OBIRCH spots. This implies that layout tracing skill and relation investigation among OBIRCH spots are needed for successful failure analysis.

Case Study in Fault Isolation of a Metal Short for Yield Enhancement

2010 ◽  
Author(s):  
Sarven Ipek ◽  
David Grosjean
Keyword(s):  
Failure Analysis ◽  
Failure Mechanism ◽  
Photon Emission ◽  
Fault Isolation ◽  
Yield Enhancement ◽  
Analysis Technique ◽  
Laser Signal ◽  
Signal Injection ◽  
Microscopy Techniques

Abstract The application of an individual failure analysis technique rarely provides the failure mechanism. More typically, the results of numerous techniques need to be combined and considered to locate and verify the correct failure mechanism. This paper describes a particular case in which different microscopy techniques (photon emission, laser signal injection, and current imaging) gave clues to the problem, which then needed to be combined with manual probing and a thorough understanding of the circuit to locate the defect. By combining probing of that circuit block with the mapping and emission results, the authors were able to understand the photon emission spots and the laser signal injection microscopy (LSIM) signatures to be effects of the defect. It also helped them narrow down the search for the defect so that LSIM on a small part of the circuit could lead to the actual defect.

Sign in / Sign up

Export Citation Format

Share Document