1 / 7

Production Management IEOR 4000

Production Management IEOR 4000. Prof. Guillermo Gallego. A Few Words About Myself. Professor of Industrial Engineering & Operations Research at Columbia University. Chairman of IEOR department. Published over fifty in refereed journals. Visiting scientist at IBM 1999-2003

Télécharger la présentation

Production Management IEOR 4000

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Production ManagementIEOR 4000 Prof. Guillermo Gallego

  2. A Few Words About Myself • Professor of Industrial Engineering & Operations Research at Columbia University. • Chairman of IEOR department. • Published over fifty in refereed journals. • Visiting scientist at IBM 1999-2003 • Visiting professor at Stanford GSB 1997-1997. • Senior editor MSOM and POM. • Former departmental editor for IIE transactions. • Former associate editor of management science. • Former associate editor operations research. • Consulted extensively with industry.

  3. Topics to Be Covered • Classification of production systems. • Deterministic models. • EOQ, EPQ, JRP, ELSP, app, MRP, ERP. • Forecasting. • Ma, ES, MMFE. • Stochastic models. • Newsvendor model. • Supply chain models. • JIT.

  4. Benefits to Be Obtained • Understand production systems. • Understand basic tradeoffs. • Efficiency vs. Variety. • Holding costs vs. Fixed costs. • Holding costs vs. Service levels. • Learn about • Forecasting. • Value of information • Postponement • Scheduling • JIT

  5. Intended Audience • A required course for MS degree in IE and MS in OR. • Students entering the fields of industrial engineering or supply chain management. • Students interested in learning how to develop models. • Production and general managers wishing to understand models behind decision support systems.

  6. Prerequisites • Working knowledge of calculus. • A good course in probability and statistics. • A deterministic models course (linear programming). This can be taken concurrently. • Knowledge of excel or equivalent spreadsheet program. • Willing to work hard.

  7. Evaluation • Assignments: 25% • Midterm: 30% • Final: 45%

More Related