Ilgin Dogan

ilgindogan [at] berkeley [dot] edu

Yoon Lee

yllee [at] berkeley [dot] edu

ilgindogan [at] berkeley [dot] edu

Yoon Lee

yllee [at] berkeley [dot] edu

MW 12-1P, on Zoom

F 12-1P, on Zoom

IEOR 161, IEOR 162, and a course in statistics

Homeworks (30%); midterm (30%); final exam (40%)

Grades will be determined using a fixed scale. A raw percentage will be computed using the above breakdown, and the raw percentage will be rounded down. The letter grade will be determined using the rounded down percentage and the below given scale.

Grade Scale: A 94-100, A- 90-93, B+ 87-89, B 83-86, B- 80-82, C+ 77-79, C 73-76, C- 70-72, F 0-69

Grades will be determined using a fixed scale. A raw percentage will be computed using the above breakdown, and the raw percentage will be rounded down. The letter grade will be determined using the rounded down percentage and the below given scale.

Grade Scale: A 94-100, A- 90-93, B+ 87-89, B 83-86, B- 80-82, C+ 77-79, C 73-76, C- 70-72, F 0-69

Wednesday, October 28, 2020, using Gradescope

Friday, December 18, 2020, using Gradescope

This course is concerned with improving processes and designing facilities for service businesses such as banks, health care organizations, telephone call centers, restaurants, and transportation providers. Major topics in the course include design of service processes, layout and location of service facilities, demand forecasting, demand management, employee scheduling, service quality management, and capacity planning.

Specific topics that will be covered include:

- Service Quality Management – Review of probability; hypothesis testing; risk in hypothesis testing; newsvendor model; data-driven newsvendor (about 3 weeks)
- Resource Allocation and Game Theory – Review of optimization; matching markets (e.g., kidney exchanges); adverse selection models; moral hazard models (about 3 weeks)
- Location Planning and Routing –
*p*-median problem;*p*-center problem; set covering location model; traveling salesman problem; vehicle routing (about 3 weeks) - Workforce Scheduling – Service queueing models; Little's law; square-root staffing law; long-term planning (about 3 weeks)

- Aug 26
- Service Systems, Probability Review, Course Syllabus
- Aug 31
- Risk in Decision Making
- Sep 02
- Composite Minimax
- Sep 09
- Newsvendor Model
- Sep 14
- Data-Driven Newsvendor
- Sep 16
- Data-Driven Newsvendor
- Sep 21
- Matching Markets
- Sep 23
- Kidney Exchanges
- Sep 28
- Residency Matching
- Sep 30
- Nonlinear Programming
- Oct 05
- Adverse Selection
- Oct 07
- Adverse Selection
- Oct 12
- P-Median Problem
- Oct 14
- Vertex P-Center Problem
- Oct 19
- Set Covering Problem
- Oct 21
- Capacitated Location Planning
- Oct 26
- Vehicle Routing Problem
- Nov 04
- Savings Algorithm
- Nov 09
- Markov Processes
- Nov 16
- Queues
- Nov 18
- Little's Law
- Nov 30
- Square Root Rule
- Dec 02
- Longterm Staffing