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Jose A. Guajardo
Doctoral Student

Jose joined the OPIM doctoral program in Fall 2007. He received a master's degree in Operations Management from the Department of Industrial Engineering at the University of Chile, where he also received a bachelor's degree in Industrial Engineering.

Prior to attending Wharton, Jose worked for four years as consultant in business intelligence, focusing in the areas of demand forecasting and credit scoring.

Current Research

Jose A. Guajardo, Information sharing for complementary goods. With Morris A. Cohen.

Jose A. Guajardo, Impact of Performance Based Contracting on Product Reliability: An Empirical Study. With Morris A. Cohen, Sang-Hyun Kim, Serguei Netessine.

In The News

Pay for What You Get: Putting Performance-based Contracting to the Test, Knowledge@Wharton, 10/14/2009, Jose A. Guajardo

Modelos analíticos para el manejo del riesgo de crédito, Trend Management, 11/01/2006, Jose A. Guajardo

Teaching Experience

TA, The Wharton School, University of Pennsylvania
MBA core course on Decision Models & Uncertainty (Fall 2009); Undergraduate elective course on Service Operations (Fall 2009); MBA and undergraduate elective course on Data Mining and Decision Support Systems (Spring 2009); Undergraduate core course on Computer as an analysis tool (Fall 2008)

Lecturer, University of Chile, Department of Industrial Engineering
Executive Diploma on Projects Evaluation. Topic: Demand Forecasting (June 2007); Executive Program on Business Intelligence. Topic: Demand Forecasting and Credit Scoring (September 2006)

TA, University of Chile, Department of Industrial Engineering
Undergraduate core course on Operations Research (2002, 2003, 2004); Undergraduate core course on Optimization (2002); Undergraduate core course on Finance (2003); Undergraduate core course on Statistics (2001); Undergraduate core course on Evaluation of Projects (2001, 2002)

Pre-doctoral Publications

J.A. Guajardo, R. Weber, J, Miranda. 2010. A model updating strategy for predicting time series with seasonal patterns. Applied Soft Computing, 10(1) 276-283.

R. Weber, J.A. Guajardo. 2008. Dynamic Data Mining for Improved Forecasting in Logistics and Supply Chain Management. In Proceedings of First International Conference, LDIC 2007, Bremen, Germany, August 2007, Springer Berlin Heidelberg, pp. 57-63.

S.F. Crone, J.A. Guajardo, R. Weber. 2006. The impact of preprocessing on Support Vector Regression and Neural Networks in time series prediction. In Proceedings of DMIN’06 The 2006 International Conference on Data Mining, Las Vegas, USA, June 2006, CSREA Press, pp. 37-42.

J.A. Guajardo, J. Miranda, R. Weber. 2006. A forecasting methodology using Support Vector Regression and dynamic feature selection. Journal of Information and Knowledge Management, 5(4) 329-335.

Selected Talks

Impact of Performance Based Contracting on Product Reliability: An Empirical Analysis. INFORMS conference, October 2009, San Diego CA.

Does performance-based contracting improve product reliability? An empirical study. INFORMS conference, October 2008, Washington DC.

The impact of preprocessing on Support Vector Regression and Neural Networks in time series prediction. International Conference on Data Mining (DMIN), June 2006, Las Vegas, NV.

How to update forecasting models in time series prediction problems. International Symposium on Forecasting (XXVth ISF), June 2005, San Antonio, TX.

Honors And Awards

Wharton Risk Center Russell Ackoff Doctoral Student Fellowship, 2009

Doctoral Fellowship, The Wharton School, University of Pennsylvania, 2007-2011

Best Teaching Assistant Award. Department of Industrial Engineering, University of Chile, 2002

Jose A. Guajardo
3730 Walnut Street
526.6 Jon M. Huntsman Hall
Philadelphia, PA 19104
Phone: 215-898-0553
josegu@wharton.upenn.edu

Research Interests: Information and incentives in supply chain analysis, data-driven decision making, retailing, applied econometrics and industrial organization, information economics.

Last Modified November 11, 2009