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Invitation to Invited Research Lecture at SIMTech (Singapore)


Hi,

I would like to invite the Internations community to my invited lecture at A*Star SIMTECH. I will be giving a seminar on benchmarking in industry, as well as an analysis framework and software that we developed.

Best,
Gurdal

SIMTech 20th Anniversary Seminar Series

Invited Research Lecture on Analytical Benchmarking Meets Data Mining: The SmartDEA Framework, SmartDEA Software, and Case Studies for Industry

Guest Speaker: Dr Gürdal Ertek, Visiting Scientist at SIMTech & Assistant Professor at Sabancı University, Istanbul, Turkey

2 August Protected content , 3.00pm - 5:00pm, SIMTech Auditorium, Tower Block, Level 3

(within the NTU Campus, accessible with bus Protected content Boon Lay MRT)

Registration :
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Abstract

Benchmarking is a fundamental activity performed by every company, institution, country, and individual. Analytical benchmarking refers to the application of mathematics and computation based methods for benchmarking a group of entities. The literature on benchmarking mainly focuses on the benchmarking methodologies, rather than the post-analysis of the benchmarking results. However, there can be significant insights and competitive advantage that can be gained from the detailed analysis of the results data.

Data mining is the growing field of computer science that aims at discovering the hidden patterns and coming up with actionable insights. The overwhelming majority of data mining literature focuses on developing more efficient and effective computational algorithms. However, the main goal and motivation of the field of data mining, the quest for practical actionable knowledge, seems to be forgotton in most of these algorithmic studies.

This seminar will present the SmartDEA Solver framework for integrating analytical benchmarking with data mining. Specifically, we consider the results of Data Envelopment Analysis (DEA), and describe how these results should be structured so that they can be mined easily with readily-available data mining tools and methods.

We also present the SmartDEA software that implements the SmartDEA methodology, and present three case study applications, in the automotive, wind energy, and apparel retail industries.

Participants of the seminar will be entitled to a free licensed copy of the commercial SmartDEA software ($ Protected content value).

About the Speaker

Dr Gürdal Ertek, currently a visiting scientist at SIMTech, is an Assistant Professor at Sabancı University, Istanbul, Turkey. He received his B.S. from Industrial Engineering Department of Boğaziçi University, Istanbul, Turkey, in Protected content , and his Ph.D. from School of Industrial and Systems Engineering at Georgia Institute of Technology, Atlanta, GA, in Protected content . He has been awarded with Boğaziçi University Alumni Scholarship, Hacı Ömer Sabancı Scholarship, and Fulbright Scholarship throughout his education. His research areas include knowledge-based systems, warehousing and material handling, and data visualization and mining. He has research collaborations with institutions including WMG at University of Warwick and A*STAR of Singapore.

Dr Ertek has taught more than Protected content in lecture-styled courses and has supervised more than Protected content in project courses, such as PROJ Protected content Course) and ENS Protected content Project). He has also served as a reviewer for Protected content projects submitted to TÜBİTAK (Turkish National Science Foundation).

Programme

3.00pm Registration
3:30pm Presentation, Q&A
4.30pm Refreshment
5.00pm End

Who Should Attend

Senior Management, Directors, Managers, Engineers, Academic staff members and industry partners.

Registration
This seminar is free of charge. Seats are available on first-come, first-served basis. To reserve a place, please click here

Registration URL: Protected content


Contact Us

For technical enquiries, please contact Dr Allan Zhang Nengsheng, Email: Protected content Tel: Protected content

For general enquiries: Alice Koh, Email: Protected content Tel: Protected content

Singapore Institute of Manufacturing Technology
71 Nanyang Drive, Singapore Protected content
Tel: Protected content Fax: Protected content
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