5/17 Lecture 2 Manufacturing vs. service. Why manufacturing matters (slides omitted). Video. Categories of manufacturing operations -- custom, jobshop, batch, flow line, continuous -- and the product/process matrix. Project 1a) assigned.
5/19 Lecture 3 Tour of ``Old I.E.'' Why IEs are hated. Frederick Taylor, his story of Schmidt. Time studies and meat machines.
5/24 Lecture 5a Project management. Gantt charts. PERT/CPM.Lecture 5b
Lecture 5a slides in powerpoint
Lecture 5b slides in powerpoint
Lab this week: section. Process flow diagrams, Project 1 exercise on queue stability.
5/26 Lecture 6 Flow units, throughput, inventory, Little's Law.
5/31 Lecture 7 Decision Analysis (see pp. 241-246 of Models text). Project 2a) assigned.
Lab this week: Project 1a presentations.
6/2 Lecture 8 Decision Trees continued; PERT introduction ;
6/7 Lecture 10 What is a model? Models that explain; models that predict. Data collection, AIDS needle study video. Quiz likely.
Lab this week: modeling the eye, Poisson processes, Geiger counters, explaining adjustments to light intensity
6/9 Lecture 11 Intro to system dynamics models: influence diagrams, positive and negative feedback.
2004: Single lecture on system dynamics, Easter Island, and sustainability. Also see Primer on sustainability by Carol Carmichael.
6/12 Lecture 12 System dynamics: delay, oscillation, natural systems. System archetypes, such as escalation, success to the successful , and tragedy of the commons.
6/14 Lecture 13 System dynamics: whales, Easter Island. Project 1b) assigned
Lab this week: See-saw, feedback loops with delay. Easter Island/Earth Island discussion; archetypes.
6/16 Lecture 14 Senior design presentations.
6/21 Site Visit (lecture and lab):
Attire: business casual or as noted. Reading: "Why and How to Take a Plant Tour," pages 14-23, Modeling text.
6/23 Lecture 16 Introduction to simulation. Trials, steady state, startup, random number generators, variability.
6/26 Lecture 17 Red Bead Game. Variability. A teaching tool.
6/28 Lecture 18 Simulation II: basic concepts such as Future Event List; hand simulations. Project 2b) assigned.
Lab this week: buffers in a flow line siM&Mulation.
Project 2b (traffic simulation) asssigned.
6/30 Lecture 19 Simulation III: more hand simulations; testing and validation.
Lab this week: work and help for simulation project 2b
7/5 Lecture 21 Shortest path models.
7/7 Lecture 22 Optimization models: basic concepts. Algorithm, model, tradeoffs between generality and solvability, optimal solution.
7/10 Lecture 23 Network and Linear Programming formulation I.
7/12 Lecture 24 Linear Programming formulation II. Project 2c) assigned.
Vending machine mini-project (Project 4a) assigned.
7/14 Lecture 25 Linear programming formulation III.
7/19 Lecture 27 The modeling process: Dr. Leon McGinnis, guest lecturer.
7/21 Lecture 28 Integer Programming Modeling II.
Lecture 29: Integer Programming Modeling III.
Lecture 30 7/26 Nonlinear programming models.
Lab this week: traffic or vending project presentations.
7/28 last day of classes Lecture 29 Course summary, review, insights.