Phone: (732) 445-2238
E-mail: salbin@rci.rutgers.edu
Office Location: Busch Campus, CoRE Building, Rm 206

Bio

Dr. Susan L. Albin is Professor and Director of the Graduate Program in the Department of Industrial and Systems Engineering at Rutgers University. Before joining Rutgers in 1981, Dr. Albin spent four years at Bell Laboratories and five years on the research staff at Albert Einstein College of Medicine. Dr. Albin received her D.E.Sc in Operations Research and Industrial Engineering from Columbia University in 1981; her MS and BS in Industrial Engineering from NYU.

Research Interest

Dr. Albin’s areas of research are quality engineering, process control, multivariate statistics, data mining and stochastic modeling. She is currently working on multivariate process control and process optimization in a data rich environment. Her work has been applied in areas including medical device manufacturing, semiconductor manufacturing and electronics assembly, food processing, advanced display technology, and plastics recycling. Dr. Albin's research has been supported by NSF, FAA, DOD, the Council for Solid Waste Solutions, and industrial organizations.

Professional Activities

Since 2004 Dr. Albin has served as Secretary of INFORMS, the Institute for Operations Research and the Management Sciences. She was previously a member of the Board of Directors.
Dr. Albin is the focus issue editor for IIE Transactions on Quality and Reliability Engineering. She served as Associate Editor for Management Science from 1987 to 1996. She will be the 2008 Chair of the ASQ Brumbaugh committee that chooses the best paper in an ASQ journal and she serves on the ASQ Ott Scholarship committee.
As a visiting professor at Peninsula Technikon, South Africa, Dr. Albin served as a consultant in the development and approval of the B.Tech and M.Tech Degree Programs in Quality Engineering. She facilitated the development of advanced level Quality Engineering programs, obtaining government approvals, organizing introductory workshops, arranging for an industrial advisory board and industrial advisors for student projects and theses. The program now includes over 50 students from various industries including textiles and spinning, food processing, printing, automotive assembly, health care, and tourism.

Honors & Awards

• Fellow of IIE, the Institute of Industrial Engineers, 2006.
• Keynote speaker at the ICIEOM Industrial Engineering Conference in Fortaleza Brazil and a Quality Engineering workshop leader in Rio de Janiero, 2006.
• Best Paper Prize, IIE Transactions on Quality and Reliability Engineering in 2002-2003, with student Flavio Fogliatto
• Exxon Education Foundation Award
• Listed in American Men and Women of Science and in Who’s Who in Science and Engineering.
  

Representative Publications

Hang Zhang and S. L. Albin (2007) “Detecting the Number of Operational Modes in Baseline Multivariate SPC Data,” IIE Transactions on Quality and Reliability Engineering, accepted.

Il-Gyo Chong, S. L. Albin, and Chi-Hyuck Jun (2007) “Process Optimization Through Data Mining Eliminates Need For Explicit Quality Function,” IIE Transactions on Quality and Reliability Engineering, nol 39, (8).

D. Xu and S. L. Albin (2006) “Optimizing Batch Settings by Accounting for Uncontrollable Material and Environmental Variables,” IIE Transactions on Quality and Reliability Engineering, vol. 38, (12), pp. 1085-1092.

D. Xu and S. L. Albin (2003) “Robust Optimization of Experimentally Derived Objective Functions,” IIE Transactions, vol 35 (9), pp. 793-802.
F. S. Fogliatto and S. L. Albin (2003) “An AHP-Based Procedure For Sensory Data Collection And Analysis In Quality And Reliability Applications,” Food Quality and Preference, December, vol 14/5-6, pp. 375-385.

R. C..Wurl, S. L. Albin, and I. J. Shiffer (2001), “Multivariate Monitoring of Batch Process Startup,” Quality and Reliability Engineering International, vol 17, pp. 269-278.

D. Xu and S. L. Albin (2002) “Manufacturing Startup problems Solved by Mixed-Integer Quadratic Programming and Multivariate Statistical Modelling,” International Journal of Production Research, vol. 40, no 3, pp. 625-640, Februrary.

F. S. Fogliatto and S. L. Albin (2001) “A Hierarchical Method for Evaluating Products with Quantitative and Sensory Characteristics,” IIE Transactions on Quality and Reliability Engineering, December, vol 33 (12), pp. 1081-1092.

L. Kang and S. L. Albin (2000) "On-line Monitoring When the Process
Yields a Linear Profile" Journal of Quality Technology, October, vol 32 (4), pp. 418-426.

F. S. Fogliatto, S. L. Albin (2000) “Variance of Predicted Response as an Optimization Criterion in Multiresponse Experiments,” Quality Engineering, vol. 12(4), pp. 523-533.

F. S. Fogliatto, S. L. Albin, B. J. Tepper (1999) “A Hierarchical Approach to Optimizing Descriptive Analysis Multiresponse Experiments,” Journal of Sensory Studies, vol. 14, no. 4, pp. 443-465.

R. C. Wurl and S. L. Albin (1999) “A Comparison of Multiresponse Optimization: Sensitivity to Parameter Selection,” Quality Engineering, vol. 11, no. 3, pp. 405-416.

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