Prof. Haim Shore
Department
of Industrial Engineering & Management
Ben-Gurion
University of the Negev, Beer-Sheva, Israel
Tel: +972 8 6472249
Fax: +972 8 6472958
Email: shor@bgu.ac.il
Short Biography
I was born in Israel (in the town of Tiberias, to the shore of the Sea of Galilee). After graduating from the Technion (B.Sc., Industrial Engineering and Management), I continued my studies and earned an M.Sc. in Operations Research (Technion, Haifa), a B.A. in Philosophy and Psychology (Haifa University), an M.A. in Psychology (Tel-Aviv University) and a Ph.D. in Statistics (Bar-Ilan University). Concurrently, I have worked several years as a management consultant (at a private consulting firm), a few more years at the research department of the Israel Institute of Productivity and several more years as a freelance management consultant. Following several years as a non-tenured senior lecturer at the Department of Industrial Engineering at Tel-Aviv University I moved to Ben-Gurion University in the summer of 1996, where I have been serving as a faculty tenured member in the Department of Industrial Engineering and Management ever since.
My research interests are in the areas of statistical modeling and quality and reliability engineering. I have published extensively in such journals as IIE Transactions, Journal of Quality & Reliability Engineering International, Communications in Statistics, International Journal of Production Research (IJPR) and Journal of the Operational Research Society (JORS). I have also authored, or co-authored, six books, a most recent of which is “Response Modeling Methodology – Empirical Modeling for Engineering and Science” (2005, by World Scientific Publishing, Singapore). In 1993-1994 I have been a visiting professor on sabbatical at the University of Wisconsin (Madison, USA) and in 2002-2003 at McMaster University (Hamilton, Canada).
Synopsis of Current Research
My recent research (over last eight years) has focused
on the development and propagation of a new modeling methodology, Response Modeling
Methodology (RMM). The purpose of this methodology is to allow empirical
modeling, where both the variables that are included in the model and the final
structure of the non-linear model are determined by the data. RMM intends to
replace current methodologies for empirical modeling in a non-normal
environment, like normalization of data (by some normalizing transformation, as
Box-Cox transformation), or generalized linear models (GLM). The new RMM has
been applied to derive models in various branches of engineering, like chemical
engineering, reliability engineering and software quality engineering.
Applications were reported also in the quality-engineering discipline (see
below). The new RMM also model well random variation (via “Distribution
fitting”). This may be used, for example, for non-normal process
capability analysis or for control charts implemented in real time for
non-normal process distributions.
A
book that introduces the new RMM in a comprehensive fashion has been published
April, 2005 (see hyperlink below).
Itemized Research in Progress:
- "Development of SPC-based methodology to monitoring surgical procedures": A new research endeavor aimed at monitoring mortality rates at operating theatres. The new SPC methodology will issue alarm signal for unexpected changes in mortality rates, given the survival likelihood of patients undergoing surgery. Conducted in cooperation with Prof. Brezis of Hadassah Hospital in Jerusalem and Shaarei-Tzedek Hospital. Mrs. Revital Danoch is currently working on her PhD in association with this research.
- "Modeling with RMM in Chemical Engineering". This is the subject of a just completed PhD report by Mrs. Diamanta Benson-Karhi, jointly supervised with Prof. Shacham of the Chemical Engineering Department. The purpose of this research is to derive new empirical models in chemical engineering using RMM, and compare them to currently used models, basing comparison on models incorporated in DIPPR, a widely used data base. Several papers have been published and conferences presentations given.
- "Investigating the statistical properties of the RMM model". This is the subject of a just completed PhD report by Mrs. Fatina A’wad. The statistical properties of the RMM model are investigated, and estimation procedures developed. Comparison to current methodologies for representing data from unknown distributions (“Distribution fitting”) is conducted. A paper has been submitted, and a second paper is currently co-authored.
- Research is ongoing with Prof. Ladany to implement a new line-to-point transformation, introduced by Ladany some years ago, to various areas like the military (target detection) and health care (bi-dimensional diagnosis).
Membership in Editorial
Boards:
·
Communications in Statistics (Theory and Methods) - Associate Editor
(Past)
·
Communications in Statistics (Computation and Simulation) - Associate
Editor (Past)
·
Quality Engineering- Editorial Board (Past)
·
IIE Transactions (Quality and Reliability Engineering) - Editorial
Board (Present, 2008)
· Quality Technology & Quantitative Management (QTQM) - Associate Editor (Present, 2008)
· International Journal of Operations and Quantitative Management (IJOQM) - Editorial Board (Present, 2008)
Books (for other books go to “Publications):
Response Modeling Methodology – Empirical Modeling for Engineering and Science (2005)
Coincidences in the Bible and in Biblical Hebrew (2007, 2008)
* Chair of Technical Committee 1816 – “Standardization in Quality and Reliability Engineering” (The Standards Institution of Israel).
In charge of building national standards in Q & R (Since 2007).
* Volunteering consulting to the
Organizational Committee of the 18-th Maccabia (July,
2009)