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OM Syllabus: Rowan University, Dr. Faye Zhu, MGT 06305

January 2, 2011

syllabusProfessor name: Faye X. Zhu, D.B.A.

E-mail address:

zhu@rowan.edu

Course description

: Production and Operations Management (POM) is the field that deals with transforming inputs (resources) into outputs (goods and services). It involves decisions making on how to best design and operate a production system. The term “production system” is meant to include organizations that manufacture products and that provide services, such as banks, hospitals, government agencies, and the like.

This course is designed to introduce students the basic concepts and techniques of production and service operations management. Emphasis will be placed upon the development of the basic skills widely applicable to analyzing and solving problems related to operations management, including problem formulation and both manual and computer solution methods. The course focuses on the following topics: decision theory, project management, business forecasting, linear programming, quality management and control, capacity planning, inventory control, material requirement planning (MRP), and supply chain management. Although this course is primarily quantitative in its nature, qualitative aspects across various business functions will also be discussed. Computer solutions to complex problems will be introduced.

Course Learning Objectives

Understand the Critical Role of Operations Management (OM) in the overall business strategy of the firm: Creation of value through the integrated production and distribution of goods, services.

o Be able to understand the roles (function and system) of OM

o Be able to define and measure the productivity

o Be able to describe Operations strategies to build up a competitive power

Understand and apply Decision Making Tools: Analytic Skills for Decision Making

o Be able to perform break-even analysis for location/capacity planning

o Be able to define the decision making environments and use related decision making

criteria and tools

o Be able to manage the basic inventory control tools for service and manufacturing

o Be able to formulate and solve linear programming (L.P.) problems with 2 decision variables

o Be able to handle project management tools like CPM and/PERT

Employ and Interpret Business Forecasting Methods: Time Series Analysis and Regression &

Correlation Analysis

o Be able to perform time-series analysis (e.g., moving average, exponential smoothing, and trend

projection)

o Be able to employ and interpret the basic regression analysis for business forecasting

Appreciate and Relate to Quality Management and Quality Control Methods: Quality

Management and Statistical Process Control

o Be able to understand the significance of Quality Management (i.e., TQM, Six Sigma)

o Be able to apply quality control tools (SPC)

o Be able to understand the nature of both a normal distribution and a sampling distribution based

on the central limit theorem including the measurement of the central tendency and dispersion

Prerequisite:

Statistics I (1702.260) and Calculus T&A (1703.125).

Textbook: Pearson Custom Business Resources

(by Jay Heizer & Barry Render), Pearson – Prentice Hall.

.

Teaching and Learning Methods

: This course will be primarily conducted in lectures and discussion formats

in the classroom. Research on specific topics and build-up of management skill for solving real world problems

related to POM through integrated computer software will be discussed.

__________________________________________________________________________________

Course Evaluation and Student Performance

Homework Assignments:

Homework will be assigned on a regular basis. In order to achieve the desired level of proficiency in Operations Management, students are expected to do all the assigned homework problems, though they will NOT be collected. It should be noted that those who do homework always perform much better on the quizzes and examinations.

Quizzes

: Three quizzes will be given during the semester, and the dates for the quizzes will be announced in

class. The lowest grade will be dropped.

.

Examinations:

There will be two mid-term tests and one final examination. The format of each exam will

include both conceptual and problem-solving questions, so a combination of true/false, multiple choice, and

“work through” problems should be anticipated. The exam questions will be drawn from reading

assignments, class lectures & discussion, homework, and class exercises. Each mid-term test will include the

materials covered since the previous exam and the final examination will be cumulative.

Grading:

Final grades for this course will be computed according to the following criteria:

Test 1: 25%   Test 2: 25%   Final: 30%

Quizzes (3 quizzes): 10% (The lowest grade will be dropped.)

Class attendance & participation: 10 %

Week Date Topics to be covered Chapter & Suggested Homework Problems

1 1/22, 1/24 Course introduction

Operations & Productivity Ch 1 (p.1) Discussion Qs: 1, 6, 7, 10

Problems: 1-1, 1-2, 1-6, 1-8

Operations Strategy Ch 2 (p.29) Discussion Qs: 2-4, 2-5, 2-6, 2-10

__________________________________________________________________________________

2. 1/29, 1/31 Basic Statistical Concepts CD Tutorial 1 Problems: T1-1, T1-3, T1-4, T1-8

Decision-Making Tools (Module, p.485)

Discussion Qs: 3, 4, 5, 7, 8, 10, 12

Problems: A-2, A-3, A-4, A-8, A-13, A-14, A-16

________________________________________________________________________________

3 2/5, 2/7 Project Management Ch 3 (p.59)

Discussion Qs: 4, 8, 10, 11, 12, 14, 16, 17, 18

Problems: 3-3, 3-6, 3-12, 3-17, 3-18, 3-24

__________________________________________________________________________________

4 2/12, 2/14 Forecasting Ch 4 (p.111)

Discussion Qs: 2, 8, 10, 11, 12, 18

Problems: 4-1, 4-4, 4-5, 4-13, 4-24, 4-30, 4-33, 4-38, 4-41

__________________________________________________________________________________

5 2/19 Forecasting & Catch-up

2/21 (R) Test I

__________________________________________________________________________________

6 2/26, 2/28 Managing Quality Ch 6 (p.205) Discussion Qs: 1, 5, 6, 11, 12

Problems: 6-1, 6-16

Statistical Process Control Ch 6S (p.235) Discussion Qs: 1, 2, 3, 4, 5, 6

Problems: S6-1, S6-2, S6-3, S6-8, S6-20, S6-24

__________________________________________________________________________________

7 3/5, 3/7 Inventory Management Ch 12 (p.397) Discussion Qs: 1, 3 — 6, 11, 15, 16

Problems: 12-2, 12-5, 12-6, 12-12, 12-18, 12-28

__________________________________________________________________________________

8 3/12, 3/14 Material Requirement Planning Ch 14 (p.443) Discussion Qs: 1, 12, 15

Problems: 14-1, 14-3, 14-4, 14-5, 14-8, 14-10

Supply Chain Management Ch 11 (p.365) Discussion Qs: 1, 2, 4

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9 3/19, 3/21 Spring Break, No Classes

__________________________________________________________________________________

10

3/26 Design of Goods & Services (QFD) Ch 5 (p. 171)

3/28 (R) Test II

__________________________________________________________________________________

11 4/2, 4/4 Location Strategies Ch 8 (p.333) Discussion Qs: 8, 9, 12

Problems: 8-1, 8-2, 8-6, 8-18, 8-20

Layout Strategy Discussion Qs: 1, 18

Problems: 9-8, 9-10, 9-11

__________________________________________________________________________________

12 4/9, 4/11 Linear Programming (Module, p. 541) Discussion Qs: 2, 3, 8

Problems: B-1, B-2, B-6, B-8, B-20

__________________________________________________________________________________

13 4/16, 4/18 Capacity Planning Ch 7S (p.301) Discussion Qs: 1, 8

Problems: S7-1 – S7-4, S7-12, S7-15, S7-18

Waiting-Line Models (Module, p.509) Discussion Qs: 1, 3, 4, 5

Problems: D-1, D-2, D-4, D-7

_________________________________________________________________________________

14 4/23, 4/25 Process Strategy and Sustainability (p. 269)

Simulation

15 4/30, 5/2 Catch-up & Review

16 5/7 – 5 /11 Finals Week (see University schedule)

__________________________________________________________________________________

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