Operations Management
33:623:386:04
Spring 1999


All class policies subject to change at instructor's discretion.

Who, What, Where, and When

Course Content

The core of this course is a mathematical way of approaching planning and decision-making problems that arise frequently in certain business contexts.

This "mindset" is called Management Science (MS) or Operations Research (OR). Basically, the MS/OR approach involves forming (imperfect) mathematical models of business situations, analyzing these models, and then deciding on some "optimal" course of action.

MS/OR is most helpful in situations where quantitative information is plentiful and there are relatively few intangible or psychological considerations, making it easier to produce accurate mathematical models. It is also particularly beneficial when the decision or planning situation is complex, making it hard for managers to simply "eyeball" the decision or "fly by the seat of their pants." Such situations arise most often at the operational level of the management hierarchy, and progressively less often at the higher levels (tactical and strategic). Hence the application to operations management. "Operations management" courses at some other schools may deal more with qualitative generalities of managing business operations; this course basically focuses on the quantitative tools needed for such management.

General Information

Projected Syllabus

There are three units in the course, with a midterm at the end of units 1 and 2.
 
Unit Classes Description
1 9 Fundamentals of Linear programming (LP) and using Excel
2 9 Refinements/extensions of LP: networks and (mixed) integer programming (IP)
3 7 Simple simulation and applications
Midterms 2 In class following units 1 and 2
Review 1 Single class review session at end of course
  28  

 
 
 
 
 
 

I am planning for individual classes and homeworks to follow the schedule below, although changes and adjustments are possible.
 
 
 
 
 
 
 
        Homework Homework Reading
Class # Date Topic Given Due (Book Chapters)
1 19-Jan Tuesday Administrative details, overview, example LP 1 (Formulation)    
2 21-Jan Thursday Excel review, solving LP's in Excel [In Lab]     1, 2 (except appendix)
3 26-Jan Tuesday Geometry of LP 2 (LP Geometry) 1  
4 28-Jan Thursday Finish geometry, linear model rules, LP examples     3 (except 3.8)
5 2-Feb Tuesday LP examples (more complicated) 3 (LP) 2  
6 4-Feb Thursday LP examples (dynamic)      
7 9-Feb Tuesday LP examples (blending) 4 (LP) 3  
8 11-Feb Thursday LP examples (AON project scheduling)      
9 16-Feb Tuesday LP examples (mixed) [End of Unit 1] 5 (LP) 4  
10 18-Feb Thursday Transportation, assignment     4.1-4.4, 4.6
11 23-Feb Tuesday Network concepts, min-cost flow   5  
12 25-Feb Thursday Unit 1 Midterm (LP)      
13 2-Mar Tuesday More networks, combined network/production 6 (Networks)    
14 4-Mar Thursday Review midterm, combined network/production      
15 9-Mar Tuesday IP (knapsack and related)   6 5
-- 11-Mar Thursday Spring Break      
-- 16-Mar Tuesday Spring Break      
16 18-Mar Thursday IP (0/1 variables, logic constraints)      
17 23-Mar Tuesday IP (fixed charge) 7 (IP)    
18 25-Mar Thursday IP (set covering, misc)      
19 30-Mar Tuesday IP (warehouse location) [End of Unit 2] 8 (IP) 7  
20 1-Apr Thursday Simulation (Concepts and first static example)     12.1-12.4, 13
21 6-Apr Tuesday Static Simulation   8  
22 8-Apr Thursday Unit 2 Midterm      
23 13-Apr Tuesday Static simulation [In lab] 9 (Simulation)    
24 15-Apr Thursday Review midterm, simulating continuous variables      
25 20-Apr Tuesday Dynamic Simulation 10 (Simulation) 9  
26 22-Apr Thursday Dynamic Simulation      
27 27-Apr Tuesday Dynamic Simulation      
28 29-Apr Thursday Review for final   10  
0 7-May Friday Final Exam, 4-7 PM