Rutgers Business School (RBS)
Dept of Management Science & Information Systems (MSIS)
International Executive MBA Program (IEMBA)

(Feb 2003)
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  Professor Lee Papayanopoulos -- Shanghai
(in collaboration with Professor J. Surkis -- Beijing)

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Operations Management

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(Click on Topics or scroll down the page; This syllabus is subject to modification)

Course Description: We explore concepts and methodologies pertaining to the delivery of services and the manufacturing of goods. We include quality issues, inventory management, supply chain management, forecasting, simulation techniques, and queuing theory as it relates to improved cycle times, lead-times, and customer satisfaction.

Variability and uncertainty associated with operational processes is a main focus. The influence of information technology, and e-business on operations is examined. User friendly software help us with some of the complex computations in analyzing and formulating operational policies.

 Text: Operations Management, William J. Stevenson, McGraw-Hill Publishing Co., Seventh Edition, ISBN 0-07-112129-3

 Software: Excel & other

Email : Please begin "Subject" line with course initials OM

Topics

Rutgers
Search Engine

Downloads

Search Engines: Vivisimo | WiseNut | Teoma | Altavista | Yahoo | HotBot | Google | Excite | Lycos | Search Engine Watch
Stocks (Quotes, Info): Quote.com | Hotbot | Datek | Netscape | Yahoo | Dow Jones Interactive | Thomson
Misc. Links: Shanghai Expats | AsiaXpat | Business Directory | World Clock Time Zones |

Topics

1.

Supply Chain Management I

Chapter 12 pp.521-523 and notes

2.

Inventory Management I
 Inventory Module

Chapter 13 p.552, 564-568, notes

3.

Probability & Statistical Concepts

A review, notes

4.

Simulation

Suppl. to Chapter 19 pp.854-868

5.

Supply Chain Management II

Chapter 12 pp.508-520

6.

Inventory Management II

Chapter 13 pp.542-556, 568-574

7.

Queueing Theory- Waiting Lines
 Queueing Module

Chapter 19 pp.818-835, 839-845

8.

Process Quality Control- SPC
Quality Module

Chapter 10 pp.418-435, 438-443

9.

TQM and Process Improvement Tools

Chapter 11 pp.470-489

10.

Forecasting
 Forecasting Module

Chapter 3 pp.70-107

11.

Selected ‘mini topics’

see note to readings