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 IE 410 Syllabus

 

Catalog Data

Analysis and design of production and inventory control systems, deterministic and stochastic inventory models, single period and multi-period production planning models, two-stage supply chain model

 

Prerequisite

 

IE 312, STAT 324

 

Co requisite

 

IE 321

 

Level

 

8

 

Textbook

 

Production Planning, Control, and Integration, by  D. Sipper and R. Bulfin (1997)

 

 

Learning Objectives

To introduce students to the managerial concepts and quantitative techniques required in the areas of inventory control and production planning. To enable students to take efficient inventory and production decisions in practice.

 

Topics (classes)

 

1.

 

Review of calculus and probability

 

4 classes

2.

Deterministic lot sizing models with constant demand

4 classes

3.

Two-stage  supply chain model

3 classes

4.

Discount analysis                                                         

3 classes

5.

Dynamic lot sizing techniques

4 classes

6.

Constrained lot sizing models                                       

3 classes

7.

Single period stochastic inventory model                       

4 classes

8.

Continuous and Periodic Review models                      

4 classes

9.

Theory and application of  Production Planning 

4 classes

10.

Linear programming applications in production planning

6 classes

11.

Transportation model in production planning                 

2 classes

12.

Multiple product products and processes models

2 classes

 

13.

Disaggregating plans

2 classes

 

 

Project work

Two projects based on long case studies

 

Computer Usage

 

Usage of Excel Worksheets

 

Learning outcomes

 

1.

 

Distinguish between deterministic and stochastic inventory models [a, b]

2.

Formulate deterministic inventory models under several assumptions [c, e, h,k]

3.

Solve stochastic inventory models over a single period [c, e, h, k]

4.

Solve continuous review models under different demand distributions [c, e, h, k]

5.

Solve periodic review models under different demand distributions [c, e, h, k]

6.

Define a supply chain and solve a basic two stage model [c, e, h, k]

7.

Formulate aggregate production planning models [c, e, h, k]

8.

Use linear programming and transportation techniques to prepare production plans [c, e, h, k]

9.

Work in teams and communicate effectively through class discussions and presentations [d, f]

 

Estimated Category Content

 

Engineering Science: 2 credit hours

Engineering Design:  1 credit hour

Grades

 

Two mid-term exams (40%)

Final exam (50%)

Project works (10%)

 

 

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