MENG 4445: Production and Inventory Control

Spring 2015: WU, 2:00- 3:15, SSE CP42

Instructor: Dr. L. K. Gaafar, Ext. 3093
Website: http://www.aucegypt.edu/faculty/gaafar

The General Teaching Policies document is an integral part of this syllabus

Catalog description:  

Prerequisites: ENGR 312, 345. Offered in spring. Basic concepts of production management ; forecasting; break-even analysis, aggregate production planning; inventory management; master scheduling, materials requirement planning; capacity planning; resource allocation and scheduling.

Textbook:    Stevenson, William, J. Operations Management, McGraw-Hill, tenth edition or later, 2009.

Recommended Reading: Zeynep Ton, 2014, The Good Jobs Strategy: How the Smartest Companies Invest in Employees to Lower Costs and Boost Profits.

References: Bedworth, D. D. and Bailey, J. E. Integrated Production Control Systems, John Wiley & Sons, Second edition,1987.  (On reserve in the library)

Grading Structure:

Because people are doing a 'bad job' reading the 'Good jobs' book, the grading structure has been modified to introduce a weekly quiz on the book!

Original

Item

Score

Quizzes, Assignments, …etc.1

160

Project

40

Midterm 1

100

Midterm 2

120

Final

140

Attendance and Adherence to policy

40

 

 

1This item may also include practice problems and case studies.

You must submit a 'Pledge of Professional Conduct' by the end of the second week of the semester. 

Computer Usage:  Students will develop small spreadsheet-based applications on most of the covered topics as part of an integrated computer exercise using Microsoft Excel.

Instructional Goals: The student who successfully completes this course will:

·         Understand the origin of project management and its importance.

·         Demonstrate knowledge of project management terms and techniques.

·         Understand the project management knowledge areas and the project life cycle.

·         Understand tools and techniques of project management including project selection methods, work breakdown structures, network diagrams and critical path analysis.

·         Use Microsoft Project and other software to help plan and manage a project.

Course Outcomes: After completing the course, students will be able to:

1.      Determine the key aspects of operations management decision making.
2.      Apply cost, volume, profit analysis techniques in determining production volume and mix.
3.      Use the moving average, exponential smoothing, and regression analysis to develop forecasts, and measure the accuracy of the forecast. Develop forecasts based on time series analysis.
4.      Identify the variables decision makers have to work with in aggregate planning and   the various strategies they can use. 
5.      Use the EOQ model, the economic run size model, the quantity discount model, the reorder point models in various inventory management decision making situations.
6.      Translating how requirements in a master production schedule into material requirements for lower level items.
7.      Scheduling and sequencing of manufacturing operations and measuring shop performance.
8.      Use quantitative techniques in scheduling in both manufacturing and service environments.
9.      Utilize existing software to solve forecasting and aggregate planning problems.

Examination: The midterm exams will be administered at the dates shown below the course outline. All examinations will be closed book, but students will be allowed to use notes written on a one-page summary sheet (of size A4) in each exam. All exams are comprehensive. Exams are given at the time of the class and are timed.

Projects: Information on the term project will be provided later.

Important Dates:

·         First Midterm                           Wednesday, March 20

·         Second Midterm                      Wednesday, April 22

·         Final                                         Sunday, May 24, 11:30.