Applied Taguchi Method in Industries – BANDUNG

Applied Taguchi Method in Industries – BANDUNG

[S300]

WAKTU

23-27 Februari 2015 / 16-20 Maret 2015 / 20-24 April 2015 / 25-29 Mei 2015 / 22-26 Juni 2015 / 06-10 Juli 2015 / 24-28 Agustus / 7-11 September 2015 / 26-30 Oktober 2015 / 16-20 Nopember 2015 / 7-11 Desember 2015

TEMPAT

Hotel KAGUM Group, Bandung
available on Jakarta, Yogyakarta, Surabaya, Bali, Batam, Lombok (by request minimum of 4 participants), available for INHOUSE Training

INVESTASI :

Bandung : Rp. 10.000.000 / peserta – minimum kuota 3 peserta berjalan
Jakarta, Yogyakarta, Surabaya, Bali, Batam, Lombok available by request

Fasilitas :
Modul, flashdisk, souvenir, Lunch, 2xCoffee Break, sertifikat

FASILITATOR

Ir.Endra Joelianto, Ph.D

Ir.Endra Joelianto, Ph.D. is an expert in control engineering and industrial automation. His outstanding research is: Hybrid Control Systems, Discrete Event Control Systems, Petri Nets Analysis and Application on PLC, Robust and Advanced PID Controller and its implementation on PLC, DCS, Fieldbus, Industrial automation and Advanced Control System Designs. He received first degree (Ir.) in Engineering Physics in 1990 from Department of Engineering Physics, ITB and Doctor of Philosofy (PhD.) in Control Engineering in 2001 from Department of Engineering, The Australian National University, Canberra, Australia.  He is Head of Intelligent Control and Automation Laboratory and Coordinator of PLC Research Group for research and training, Engineering Physics Study Program and Instrumentation and Control Research Division, Institut Teknologi Bandung. He was Director of Schneider-OMRON PLC Training Center, Maranatha Christian University, Bandung.  He has attended several professional training on PLC, DCS and Instruments Callibration, such as: Yokogawa DCS, Bandung (2000), Implementation of Indonesian National Standard (SNI) 19-17025 and Basic Calibration, Yokogawa Electric Corporation, Bandung (2001), Fieldbus Foundation Technology, Singapore (2002), Basic and Advanced PLC Telemecanique-TWIDO, Bandung (2003), Basic and Advanced PLC OMRON, Jakarta (2004), Cleaner Production Application in Industries (Bandung 2005), Effective Energy Systems for Sustainable Development (Thailand 2006), Programming and Networking PLC Mitsubishi (2006), InTouch Wonderware, Wonderware Historian and Information Server (Bandung, 2012). He also has hosted Workshop on Industrial Automation (Bandung, 2002) and (Bandung, 2003), Workshop on Application of PLC in Industrial Automation (Bandung, 2003), National Workshop on Instrumentation & Control (2011) and many professional trainings on PLC, DCS, SCADA, Human Machine Interface and Industrial Process Control and Automation in Bandung. He was the project leader of Department of National Education TPSDP Retooling Program Batch II on Industrial Automation using PLC (2004). He is the chairman of National Student Competition on PLC Programming held regularly since 2007 in ITB. He serves as instructor either for public or for in-house training on instrumentation and process control to universities, industries, petrochemical or oil and gas companies, such as: PT. NGL Arun, PT. NGL Bontang, PT. Pupuk Iskandar Muda, PT. Pupuk Kalimantan Timur, PT. Pupuk Kujang, PT. Semen Padang, PT. Semen Gresik, PT. Semen Cibinong, PT. Indocement, PT. Semen Tigaroda Perkasa, PT. Exspan Nusantara, PERTAMINA, British Petroleoum, Maxus, Gulf, PT. Chevron Geothermal, PT. Chevron Pacific Indonesia,

DESKRIPSI

Design of Experiment (DOE) is a powerful statistical technique for improving the performance of product and process designs. A simpler and much standardized form of the Taguchi technique, allows one to easily learn and apply it in engineering and scientific designs & development projects. Classroom instructions in this course will focus on teaching the application techniques through actual case studies. Experiment planning, analysis and evaluation methodologies, robust strategy and loss function will be discussed in detail. Theories and statistical computations are kept to a minimum. Much of the class discussions are devoted to learning how to apply the technique in real-world application projects. Engineering and scientific professionals engaged in research, product design, and process development, will have the opportunity to apply the technique in projects of their choice. They will learn how to plan, design and analyze the results of industrial experiments.
This 5-day skill training teaches you how to guide your project team with the proven skills to tackle the problems on production floor as well as build quality into your products. A great process improvement tool for your production optimization management team. This 5-day training will prepare you for immediate application of the Taguchi technique to your projects. Basic steps of experiment designs using the Taguchi orthogonal arrays will be discussed in detail. You will understand how improvement in consistency is measured in statistical terms and how experiments can be designed to improve it. The Taguchi Robust Design strategy, which deals with treatment of the uncontrollable factors and how to make the performance insensitive to the influence of the uncontrollable factors by controlling those factors that can be controlled, will also be covered in this course.
Attendees to this session learn hands-on, how to apply the Taguchi experimental technique. 60% of class discussions deal with applications. Attendees learn how to apply the technique immediately to :
o Optimize product/process designs
o Lay out efficient validation test plan
o Resolve technical & production problems cost effectively
o Build robust products, processes, recipes & formulations
o Other project management and production optimization management responsibilities
Participants: Engineers, Supervisors and Management as well as Quality Champions, learn how to apply the Taguchi experimental design technique.
Objective: You will be able to
• Understand Design of Experimental
• Understand ANNOVA
• Understand The Taguchi Technique
• Understand Orthogonal Design Arrays
• Understand Robust Experiment Design
• Implement Taguchi method

Course Outline:
• Review Design of Experiments
• Review Statistics
• ANNOVA
• Factor Experiments
• The Taguchi Method
• Project Objectives
• Orthogonal Arrays
• Performance at Optimum Condition
• Confidence Level
• Transformation of S/N Data
• Experiments to Study Interaction
• Design and Analysis using Computer
• Project Application

Classroom/Demonstration/Laboratory Exercise:
o Study Case
o Simulation

Course Information:
Length: 5 days (40 hours), Class and Lab. Work

Prerequisite:
Not Required

INFORMASI PENDAFTARAN
ISIKAN FORM BERIKUT :

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