Dr. Handanhal Ravinder
Associate Professor | Information Management and Business Analytics | Feliciano School of Business
Telephone: 973-655-7289 Email: firstname.lastname@example.org
Prior to coming here I worked in the pharmaceutical industry, primarily Johnson & Johnson, for 12 years in various market analytics and market research functions. Before my stint in industry I taught for 15 years in the business school at the University of New Mexico. I have undergraduate and graduate degrees in engineering and my Ph.D. is in operations management from the University of Texas at Austin. My teaching and research interests are in the areas of operations management, decision theory, and the teaching of operations management.
Managing the risks of extended supply chains.
Subjective probability and utility assessment.
The biases inherent in intuitive decision making
MS, e-Commerce, 2001, Carnegie Mellon University, Pittsburgh, PA
Ph D, Operations Management, 1986, University of Texas, Austin
MS, Industrial Engineering, 1977, Indian Institute of Technology, Chennai, India
BS, Mechanical Engineering, 1975, Bangalore University, Bangalore, India
Montclair State University.
(September 2012 - Current).
(May 2012 - August 2012).
Johnson & Johnson Family of Companies.
(July 2001 - December 2011).
University of New Mexico.
(1986 - 2001).
Indian Institute of Management Bangalore.
(June 1994 - May 1995).
Tata Consultancy Services.
(July 1977 - July 1980).
(January 1999 - April 2000).
Locating a central distribution facility
(June 1999 - August 1999).
Productivity of maintenance personnel, development of unified measures of productivity, quality, and proficiency
Sandia National Laboratories,
(September 1994 - March 1995).
Elicitation of Expert Opinion in Waste Isolation Pilot Project
Development of Bayesian Belief Network Model for Predicting and Understanding Colorectal Cancer Survival (with Serhat Simsek and Ram Misra)<br><br>In this study, we use the datasets acquired from the Surveillance, Epidemiology, and End Results (SEER) Program to construct a hybrid probabilistic prediction network based on the Bayesian Belief Network that predicts 5-year survival likelihood of colorectal cancer (CRC) patients.
Do multicriteria inventory cateogorization methods lead to better inventory management policies? (with Ram Misra and Abdullah Albizri). Much research has been done on the topic of multicriteria inventory categorization and three classes of methods have developed over the years. As a first step we performed an up-to-date review of this literature. We are following this up with an evaluation of the major multicriteria categorization rules. Given the number of variables involved, the complexity of their interactions, and the dynamic evolution of the variables, we are using discrete-event simulation to model the behavior of the inventory system.
Students' ability to evaluate regession diagnostic plots (with Mark Berenson & Haiyan Su). In an earlier research study we showed that students could do better than guessing when asked to identify the characteristics of residual diagnostic plots in the context of validation of regression assumptions. We elaborate on this study by increasing the number aspect ratios and plot densities as well as the degrees of violation of the assumptions. This will allow us to generalize the results we currently have.
What do organizations look for in project managers? (with Naushad Kollikkathara & Te Wu). While it might seem that the list of desirable qualities has been clearly established, it is not clear that these needs are clearly reflected in their job advertisements. One recent study presents a content analysis of online advertisements for project managers to identify the knowledge, skills, and abilities (KSAs) sought by the organizations that created these advertisements (and presumably value these KSAs). The study focused on Australia and New Zealand and came up with a list of KSAs that seemed valuable to hiring organizations. This list was different in significant ways from those developed by certification bodies like PMI. We plan to replicate this study for the US job market. In addition we want to assess the value of project management certifications and compare the key skill areas with non-project management jobs.
Refereed Published Articles
- Ravinder, H., Berenson, M., Su, H. (2019). Ability of Students to Interpret Regression Diagnostic Plots. Journal of Business and Economic Studies, 23 (1), pp. 1-17.
- Ravinder, H., Kollikkathara, N. (2018). Project Management in Operations Management Textbooks: Closing the Gap. Journal of the Academy of Business Education, 18 (Winter), pp. 307 - 324.
- Ravinder, H., Misra, R. (2016). Forecasting When Trend and Seasonality Are Present: What Should Operations Management Textbooks Teach?. Journal of the Academy of Business Education,
- Misra, R., Ravinder, H., Peterson, R. (2016). An Integrated Approach to Teaching of Operations Management in a Business School. Journal of Education for Business, 91 (4), pp. 236-242.
- Ravinder, H., Misra, R. (2016). The Treatment Of Six Sigma In Introductory Operations Management Textbooks: Clearing Up The Confusion. American Journal of Business Education, 9 (2), pp. 101-111.
- Ravinder, H., Misra, R. (2015). Multicriteria Inventory Categorization: A Review of the Literature. Academy of Business Research Journal, 3 pp. 15.
- Ravinder, H., Misra, R., Su, H. (2015). Quantifying the Risk of Intellectual Property Loss in Analytics Outsourcing. Information Resources Management Journal / IGI Global, 28 (1), pp. 20.
- Ravinder, H., Misra, R. (2014). ABC Analysis for Inventory Management: Bridging the Gap Between Research and Classroom. American Journal of Business Education, 7 (3), pp. 9.
- Ravinder, H. (2013). Forecasting With Exponential Smoothing – What’s The Right Smoothing Constant?. Review of Business Information Systems, 17 (3), pp. 117-126.
- Ravinder, H. (2013). Determining the Optimal Values of Exponential Smoothing Constants - Does Solver Really Work?. American Journal of Business Education, 6 (3), pp. 347-360.
- Ravinder, H., Schultz, C. (2000). Decision Making in a Standby Service System. Decision Sciences, 31 (3), pp. 573-593.
- Ravinder, H. (1992). Bias in Aggregations of Subjective Probability and Utility. Journal of the Operational Research Society, 43 (6), pp. 621-627.
- Ravinder, H., Kleinmuntz, D. (1991). Random Error in Additive Decompositions of Multiattribute Utility.. Journal of Behavioral Decision Making, 4 (2), pp. 124-138.
- Ravinder, H., Kleinmuntz, D., Dyer, J. (1988). The Reliability of Subjective Probabilities Obtained Through Decomposition. Management Science, 34 (2), pp. 186-199.
- Ravinder, H., Berenson, M., Haiyan, S. (2016). Validating Regression Assumptions Through Residual Plots - Can Students Do It?. Atlanta, GA: Decision Sciences Institute. Refereed
- Ravinder, H., Berenson, M., Su, H. (2016). Experimental Assessment of Student Ability to Interpret Regression Diagnostic Plots: Preliminary Results. NEDSI: Proceedings of Northeast Decision Sciences Institute 2016 Annual Meeting. Refereed
- Ravinder, H., Misra, R. (2014). Bringing Current Research on Multicriteria ABC Analysis to Practice. : Northeast Business and Economics Conference. Refereed
- Ravinder, H., Misra, R., suh, S. Analytics Outsourcing and the Loss of Competitive Edge - A Mathematical Modeling Framework.. Atlanta, GA: North East Decision Sciences Institute. Refereed
- Ravinder, H. (1986). A Rationale fro the Additive Decomposition of Multiattribute Utilities. Kyoto: International Conference on Multicriteria Decision Making. Refereed