W. P. Carey School of Business
W. P. Carey School of Business

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Jeffrey Laub

Clinical Assistant Professor
Supply Chain Management

Contact
Office:BA429
Mailing Address:
Main Campus
PO BOX 874706
Tempe, AZ 85287-4706

Phone: 480-965-0931
Fax: 480-965-8629
Email: Jeffrey.Laub@asu.edu
Jeffrey Laub

Job Titles
Clinical Assistant Professor; Faculty co-Director, MSc. Business Analytics

Education
Ph.D., Industrial Engineering, Arizona State University, 2006;  M.B.A., Arizona State University, 2001;  M.S., Computer Science, University of California, San Diego, 1973;  B.A., Mathematics and Computer Science, University of California, Los Angeles, 1969

Research Areas
Deterministic Scheduling;  Modeling of Semiconductor Manufacturing Systems;  System Modeling;  Formal Methods;  Path Analysis and Symbolic Execution;  Automated Testing

Representative Publications
Jeffrey D. Laub, John W. Fowler, and Ahmet B. Keha, Minimizing Makespan with Multiple Orders per Job in Mixed Flowshops, 3rd Multidisciplinary International Scheduling Conference: Theory and Applications (MISTA), 2007.

Jeffrey D. Laub, John W. Fowler, and Ahmet B. Keha, Minimizing Makespan With Multiple Orders Per Job In A Two Machine Flowshop With Item Processing, 2nd Multidisciplinary
International Scheduling Conference: Theory and Applications (MISTA), 2005.

Jeff Morrow and Jeffrey D. Laub, Dynamic Policy Enablement And Management In Net-Centric Warfare Systems And Communications, MILCOM, 2005.

W.E. Howden and J. Laub, Automatic Case Analysis of Programs, Proceedings of Computer Science and Statistics: 8th Symposium on the Interface.


ASU is a tier 1 research university and W. P. Carey is proud of its strong tradition of teaching and classroom excellence. Our students directly benefit from the research and theories our faculty brings into the classroom. Below is a list of courses being taught during the current semester by this faculty member. Click a course to view it in the ASU course catalog.

SCM 516 - Intro to Applied Analytics
Provides a solid foundation and deeper understanding of the use of quantitative modeling tools and techniques to solve problems faced in modern supply chains. Uses Excel workbooks to implement the appropriate quantitative methods, including forecasting demand, determining the capacity of a manufacturing line and the cycle times of parts being processed on the line, and methods to manage inventory.

SCM 519 - Analytical Decision Model II
Addresses the skills and knowledge necessary to model situations where uncertainty is an important factor. Covers models including decision trees, queuing theory, Monte Carlo simulation, discrete event simulation and stochastic optimization. Uses these models for a variety of common business problems. Requiree implementation of these models using Excel and stand alone software. Studies how to ensure that these solutions work in a wide variety of situations (what-if analysis). Describes each of these methods in detail.

SCM 593 - Applied Project
Preparation of a supervised applied project that is a graduation requirement in some professional majors.

W. P. Carey School of Business

400 E. Lemon St.
Tempe, AZ 85287