The use of emerging technologies like RFID, sensors, GPS and other satellites, has enabled end-to-end visibility in a supply chain. Such visibility provides almost real-time information on the status of product flows, but using such information to make intelligent management decisions in a supply chain is still a daunting task. This research proposal aims at developing analytical models that would turn such visibility into operational improvements. At the operational level, visibility can be used to help identify upcoming supply or demand problems, allowing companies to intervene to prevent disasters from happening, or to modify plans and activate backup alternatives. At the strategic level, visibility over time allows companies to use the cumulative information to optimize their supply chain network design, using the right transportation modes, and sourcing from the right partners. Phase I of the research would deal with the operational benefits of supply chain visibility and would address the following research questions: 1) How to use information to improve operations (early intervention, replanning, etc); 2) How to quantify the value of visibility for operational purposes 3) How does market segmentation (high/low demand uncertainty, high/low supply uncertainty) affect the value of supply chain visibility? We will particularly focus on demand uncertainty relating to the timing of demand in addition to the quantity ordered (the usual treatment). We will similarly focus on supply uncertainty relating to timing as well as quantity. Phase II of the research (to be done later) would deal with the strategic value of visibility. This research would focus on the overall evaluation of visibility, in particular dealing with how supply chains can be optimized by different modal choice and sourcing decisions based on data analysis carried out at some aggregated level. A related research question is, what is the right level of data aggregation
Professor Hausman performs research in operations planning and control, with specific interests in supply chain management. Most of his contributions are based upon quantitative modeling techniques and emphasize relevance and real world applicability.
He has recently studied how RFID technology can revolutionize the management of supply chains. He has investigated the value of RFID applications in retail environments, in logistics, and in manufacturing and assembly operations. He has also studied how operational improvements in retail supply chains affect a company's financial performance and market capitalization. He has completed projects with Visa International and The World Bank dealing with Financial Flows & Supply Chain Efficiency and Global Logistics Indicators, respectively. A related research project analyzes the benefits of IT-enabled global trade management; TradeBeam Inc. has supported this research.
He has performed numerous research studies in supply chain management and operations management. He is the author or co-author of more than sixty technical articles on these subjects that have appeared in journals such as Management Science, Operations Research, Naval Research Logistics, and IIE Transactions. He is also a co-author of Quantitative Analysis for Management, a popular textbook now in its Ninth Edition (McGraw-Hill, 1997).
He is an active consultant to industry and is involved in numerous executive education programs both at Stanford and around the world. He was the founding director of a two-day executive program on Integrated Supply Chain Management held semi-annually in Palo Alto, California from 1994 to 2003. His consulting clients represent the following industries: general manufacturing, electronics, computers, consumer products, food & beverage, transportation, healthcare, and high technology. He is also a co-founder of Supply Chain Online, which provides web-based corporate supply chain management training. He serves on the technical advisory boards of several Silicon Valley startups.
In 1994 he was elected President of the Operations Research Society of America (ORSA). He has also served on the Board of the Institute for Operations Research and the Management Sciences (INFORMS) and on several National Science Foundation Advisory Panels and Committees. He is a Fellow of INFORMS, a Distinguished Fellow of the Manufacturing and Service Operations Management Society, and a Fellow of the Production & Operations Management Society. He has also won several teaching awards, including the Eugene Grant Teaching Award in Stanford's School of Engineering in 1998.
He served as Department Chair for the Industrial Engineering & Engineering Management Department at Stanford from 1982 to 1992. He earned a BA in Economics from Yale and a PhD from MIT's Sloan School of Management.
For a complete list of Professor Hausman's publications, see his Curriculum Vitae.
MS&E 261 Inventory Control and Production Planning
MS&E 262 Supply Chain Management
MS&E 365 Advanced Models in Operations Management
MS&E 101: Undergraduate Directed Study
MS&E 300: Ph.D. Qualifying Tutorial or Paper
MS&E 301: Dissertation Research MS&E 408: Directed Reading and Research
Last modified Wed, 27 Mar, 2013 at 9:05
|Optimal procurement strategies for online spot markets||Seifert, Ralf; Thonemann, Ulrich W.; Hausman, Warren H.||European Journal of Operational Research||01-2004|
|How a Base Stock Policy Using 'Stale' Forecasts Provides Supply Chain Benefits||Hausman, W.H.; Miyaoka, J.||Manufacturing and Service Operations Management||01-2004|
|The Practice of Supply Chain Management||Corey Billington; Terry Harrison; Hau Lee; John Neale||08-2003|
- Fellow, Production & Operations Management Society (POMS)
- 2007 Third Annual Meir Rosenblatt Memorial Lecturer
- 2005 Distinguished Fellow Award from the Manufacturing and Service Operations Management Society (MSOM)
- 2005 Fellow, Institute for Operations Research and the Management Sciences (INFORMS)
- 2002 Eugene Grant Teaching Award, Department of Industrial Engineering and Engineering Management, Stanford University
- 1998 President-Elect of ORSA (Operations Research Society of America)
- 1994 Member, ORSA Lanchester Prize Committee
- 1983 Faculty Teaching and Service Awards, Department of Industrial Engineering and Engineering Management, Stanford University
- 1980, 1986, 1990, 1996 Superior Teaching Award, Master of Business Administration Program, Graduate School of Management, University of Rochester
- 1976 Certificate of Teaching Excellence, Executive Development Program, Graduate School of Management, University of Rochester
- 1974 Beta Gamma Sigma Sigma Xi
This project, co-directed by Prof. Hau Lee from Stanford's Graduate School of Business and myself, explores how improvements in Information Technology can improve the performance of Global Trade Management. We are pleased to acknowledge research support from TradeBeam Inc., San Mateo, CA.