Operations Modeling Syllabus Winter 2018 PDF

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Summary

Syllabus...

Description

Operations Modeling Winter 2018 Industrial and Operations Engineering 202 Instructors

Primary Instructor: Wesley Marrero, [email protected] GSI: Elnaz Kabir, [email protected] Instructor email group: [email protected]

Hours

Lectures: Tue Thu 8:30am –10:30am, 1610 IOE Office hours: • Wesley Marrero: Tue 11:30am –12:30pm, Wed 10:30am –11:30am at 1720 IOE; and by appointment • Elnaz Kabir: Mon 9am –10am at 2858 IOE, Thu 10:30am –12pm at 1824 IOE

Optional Textbook

Introduction to Operations Research, Frederick S. Hillier and Gerald Lieberman

Prerequisites

ENGR 100, ENGR 101, basic knowledge of Microsoft Excel

Course Outcomes

The main goal of this class is to expose you to a range of industrial and operations engineering methods and their application to real world problems. After completing this course, you should be able to: • describe the role of operations in a firm, • represent real-life decisions faced by a company or an individual with an appropriate mathematical model, • recognize complexities of optimal decisions under constraints, • appreciate complexities of the collection and analysis of data and its role in decision problems, • appreciate the role of uncertainty in operations decisions, • analyze and solve mathematical models, and • present and interpret the output of mathematical models in a way that is useful and informative for a company or individual.

Exams

Midterm Exam: Thu, Mar 29, 8:30am – 10:30am, Location TBA Final Exam: Thu, Apr 26, 8:00am – 10:00am, Location TBA The exams are closed book and closed notes. For the midterm exam, you will be allowed a single 8.5” by 11” one-sided sheet of self-prepared notes (typed or handwritten). For the final exam, you will be allowed a single 8.5” by 11” twosided sheet of self-prepared notes. Students will not be allowed to make-up a missed exam without prior consent from the primary instructor or a physician’s letter certifying illness at the time of the exam. If you are ill the morning of an exam, you must provide documentation from health services in order to reschedule your taking of the exam. If you have an unavoidable conflict with an exam, notification is

required by March 22, 2018 so that alternate arrangements may be made for you. Any student requiring special accommodations during exam time should contact the primary instructor by March 22, 2018 so that adequate arrangements may be made. Email and Canvas Guidelines

Please observe the following policies when emailing us about the course or problem sets: • Send emails to [email protected] unless your email is targeted to either the instructor or the GSI. • Subject lines should start with “[IOE 202]”. • Make your questions very specific and concise. ▪ We will not respond to questions of the form “How do you do problem #2?” • (Strongly encouraged) send emails from your umich account to avoid potential filtering problems. Notes: • If we feel your question may be helpful to other students, we may post a de-identified version on the Canvas discussion forum. • You are strongly encouraged to make use of the Canvas to discuss the homework problems and learn from other students. • We aim to respond to emails within one business day. o Please take this timeline into account when scheduling the time you spend working on your homework.

Homework Assignments

There will be approximately six homework assignments. The homework assignment with the lowest score will be dropped. No late homework assignments will be accepted for any reason. Homework assignments must be submitted by 11:59pm of the due date via Canvas as a single PDF document (typed or scanned). Please name your submission file “uniquename_hw#.pdf.” If you have an accompanying Excel file, name it “uniquename_hw#.xlsx.” Unidentifiable homework assignments will not be graded or returned. Students are encouraged to discuss homework assignments with other students, as it promotes a sense of teamwork. However, homework solutions should be completed and written up individually. Write-ups should be unique. Identical solutions will be viewed as plagiarism. Any plagiarized work will automatically be submitted as a violation of the Engineering Honor Code and the student will receive a 0 on the assignment. In working on the homework, you can rely on information in any materials provided as part of this class (i.e., the Winter 2018 offering of IOE 202. You may also use general knowledge materials such as textbooks. However, you may not use old homework solutions from U of M or other schools, notes from previous offerings of IOE

202, or textbook solution manuals. The general rule is: do not use resources that contain the specific homework question being asked, unless provided by the instructor. Grading Scheme

The grading scheme is as follows: In-class Exercises and Participation Homework Midterm Exam Final Exam Total

5% 25% 30% 40% 100%

Regarding Policy

If you believe that there is an error in the grading of your homework assignment or exam, you must submit an emailed request to the instructor email group within one week of receiving the graded homework/exam. On the regrade request, you should clearly state the parts that you want re-graded and your reasoning. Note that any work submitted for re-grading will be subject to a full re-grade; therefore, points may be added or subtracted.

Honor Code

All students are bound by the College of Engineering Honor Code. Violations of the honor code will be reported to the Honor Council. Penalties, if guilt is established, range from letter grade reductions to expulsion from the University of Michigan.

Disabilities and Special Needs

Requests for accommodations by persons with disabilities may be made by contacting the Services for Students with Disabilities (SSD) Office located at G664 Haven Hall. The SSD phone number of 734-763-3000. Once your eligibility for an accommodation has been determined, you will be issued a verified individual services accommodation (VISA) form. Please the present this form to the primary instructor by March 22, 2018.

Course Schedule (tentative)

Week

Date

Topic

Tue 3/6

Review of math and probability

Thu 3/8

Inventory management

Tue 3/13

Inventory management

Thu 3/15

Linear programming

Tue 3/20

Linear programming

Thu 3/22

Integer programming

Homework Homework 1 out

1

2

3

Homework 1 due Homework 2 out

Homework 2 due Homework 3 out

Week

Date

Topic

Tue 3/27

Dynamic programming

Thu 3/29

Midterm exam

Tue 4/3

Queueing

Thu 4/5

Queueing

Tue 4/10

Simulation

Thu 4/12

Simulation

Tue 4/17

Forecasting

Thu 4/19

No class

Thu 4/26

Final Exam

4

5

6

Homework Homework 3 due Homework 4 out

Homework 4 due Homework 5 out

Homework 5 due Homework 6 out

7

8

Homework 6 due...