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.
I reserve the right to make adjustments to the weightings above. In particular, I might include an adjustment for class participation.
| 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 | |||