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Original Articles

The Best Location for Speed Bump Installation Using Taguchi and Classical Design of Experiments

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Pages 392-403 | Published online: 20 Aug 2014
 

ABSTRACT

Speed bumps as a traffic-calming technique can be a key issue in ensuring safe passage through secondary roads. Limited works in finding the best location of speed bumps prior to stop points has prompted this investigation. The objectives of this work are to explore the influence of factors in determining the bump location for obtaining the minimum speed at a stop point and to obtain a robust design by investigating the effect of environmental noise on the factors. The mathematical models effectively explain the performance indicators within the range of the factors, and the vehicle speed is the most significant factor.

Additional information

Notes on contributors

Alireza Khademi

Alireza Khademi received his B.Eng. in the field of industrial engineering/industrial production in 2009 from Qazvin Islamic Azad University (QIAU), Iran. He has worked as a quality engineer in an instrument engineering and calibration service company. After gaining some valuable experience in industry, he started his posteducation in the field of industrial engineering at the University Technology Malaysia (UTM) and received his M.Eng. in 2013. His research interests include Quality Engineering, design and analysis of experiments, production planning and control, artificial intelligence, simulation and modeling, and membrane technology.

Seyed Ali Mirzapour

Seyed Ali Mirzapour is an M.Sc. student in the field of industrial engineering at Universiti Teknologi Malaysia (UTM). He received his B.Sc. in the field of industrial engineering from Mazandaran University of Science & Technology, Iran. His research interests are focused on operations research and optimization, design, and analysis of experiments. His ongoing research project is about disaster relief logistics optimization.

Seyedeh Sabereh Hosseini

Seyedeh Sabereh Hosseini is an M.Sc. student in the field of industrial engineering at Universiti Teknologi Malaysia (UTM). She holds a B.Sc. in statistics from Payame Noor University (PNU) of Qazvin, Iran. Her research interests are improving facility layout, modeling, and simulation.

Noordin Mohd Yusof

Noordin Mohd Yusof has a degree in mechanical engineering specializing in industrial engineering from UTM, an M.Sc. in advanced manufacturing technology from Cranfield Institute of Technology (now called Cranfield University) in the UK, and a Ph.D. focusing on machining technology from UTM. He is a senior member of the Society of Manufacturing Engineers (SME). Currently, he is a professor in the Department of Materials, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, UTM. Dr. Noordin is involved in numerous research projects in machining, sustainability, membrane manufacture, and industrial engineering.

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