Seminar on An Efficient Adaptive r-MD Multivariate Single Control Chart for Nonlinear Multiple Quality Characteristics
Prof Indrajit Mukherjee Indian Institute of Technology (IIT) Bombay, India This seminar will be chaired by A/P Rajesh Piplani. |
| Seminar Abstract |
An efficient multivariate single control chart to simultaneously monitor ‘location or mean’ and ‘scale or variabilities’, based on individual observations of multiple quality characteristics (MQC), is a continuous research endeavour. Compared to rational subgroups, time-ordered individual sample observations of MQC are common in manufacturing. However, few researchers proposed parametric and nonparametric multivariate control charts to monitor individual observations in this context. The proposed parametric approach has limited applicability due to the restrictive distribution assumption of MQC. In addition, most of the suggested parametric or nonparametric approaches recommend multiple charts to monitor process ‘location’ and ‘scale’ parameters simultaneously. Multiple charts can increase the control complexities and overall false alarm rate (FAR). MQC can also have significant nonlinear correlation structures and follow unknown or nonnormal distributions in real-life scenarios. Single parametric or nonparametric multivariate charts (e.g. ‘r-MD’, ELR) for individual observations can exhibit poor performance in such situations. In this study, an adaptive Mahalanobis depth and k-nearest neighbour (k-NN) rule-based r-AMD chart is proposed and verified to address the lacuna mentioned above. Monte-Carlo simulation studies are used to evaluate the performance of the r-AMD chart. Four real-life manufacturing scenarios are also considered to validate the suitability and superiority of r-AMD over the existing ‘r-MD’ and other competing charts. |
| Speaker’s Biography |
Professor Mukherjee works as a Professor at the Shailesh J. Mehta School of Management, IIT Bombay. Before joining IIT Bombay, he worked as a Lecturer in the School of Management Science, Indian Institute of Engineering Science and Technology (https://www.iiests.ac.in/), Shibpur, West Bengal (India), and in the Mechanical Engineering Group, Birla Institute of Technology and Science (https://www.bits-pilani.ac.in/pilani/pilaniMechanicalEngineering/MechanicalEngineering), Pilani, Rajasthan (India). He also worked for Tata Motors Limited (https://www.tatamotors.com/) as Senior Engineer in Central Quality Division, Pune. He did his PhD from the Department of Industrial and Systems Engineering, Indian Institute of Technology, Kharagpur (http://www.iitkgp.ac.in/department/IM) and Master’s Degree in Quality, Reliability and Operations Research from the Indian Statistical Institute (https://www.isical.ac.in/), India. His Bachelor’s degree is in Mechanical Engineering from Jalpaiguri Government Engineering College (https://jgec.ac.in/), West Bengal, India. Professor Mukherjee works on various research problems in Quality Management, Applied Operations Research, Supply Chain Management, and Data Analytics. He received various research grants from government agencies, such as the Department of Science and Technology (DST) and CSIR, India. He had authored and co-authored several research papers published in reputed journals. His research contributions are published in the European Journal of Operations Research, International Journal of Production Research, Journal of Manufacturing Systems, Computers and Industrial Engineering, Applied Soft Computing, Quality Engineering, Journal of Productivity and Performance Management, and Quality & Reliability Management. His work was cited in 2017 among the top 5% productive Indian researchers in operations management (https://www.sciencedirect.com/science/article/abs/pii/S0305048316000359). IIT Bombay conferred him with the ‘IIT Bombay Research Awards 2018’ (https://rnd.iitb.ac.in/awards). He also received the ‘AUA Scholars Award 2020-2021’(http://www.asianuniversities.org/info/1095/1201.htm) to visit ISEM, NUS, Singapore. He was seconded by the Ministry of Human Resource & Development (MHRD), Government of India, as ‘Visiting Faculty’ to Industrial & Systems Engineering, AIT, Bangkok, in 2013. He was DAAD (Deutscher Akademischer Austauschdienst) ‘Visiting Guest Professor’ in School of Management, Technische Universität München in 2015. Within India, he also taught courses at IIM Ranchi (https://www.iimranchi.ac.in/), NITIE (https://www.nitie.ac.in/), and Symbiosis (https://www.sibm.edu/). |