Comp 403/388-001
Operations Management
Fall, 2020

Course #: COMP 403-001  5833
COMP 403-002  6722
COMP 388-001  4742
COMP 388-002  6705
Day/Time: Thursday 5:30 - 8:00
Prerequisites: Graduate Standing
Instructor: Dr. Channah Naiman
web page:

Syllabus Index
Course Description, Learning Objectives and Outcomes
Texts and Software Grades
Tutoring Programming environment
Academic Honesty
Course Format, Attendance
Religious Holidays
Homework/Assignments Students with Disabilities
Course Schedule Important Dates

Special ONLINE notes:

This course is formatted as a completely online, asynchronous course. I will be available during regular “class” hours (Thursday, 5:30 – 800 p.m.) to answer any questions that you may have about the course, homework issues.  This time slot is available to all students, not just those who registered for 403-001 and 388-001.  In addition, I will also be available for individual and team meetings via a doodle signup sheet (to be posted).  You are expected to be prepared for the weekly Q & A sessions, if you choose to attend.  I will not be repeating the lecture materials, but I will provide help, project guidance and homework assistance.  Since the course is asynchronous, you are not required to attend the weekly sessions.  Once teams are formed, teams will be required to sign up for team meetings with me on the Doodle signup sheet (to be posted).

Course Description and Learning Objectives:

Course Description:

1.  Introduction to concepts and methods for managing production and service operations.  Topics include demand forecasting, aggregate and capacity planning, inventory management, facility layout and location, just-in-time, managing quality, project planning, resource allocation, and logistics. Emphasis on models to support decision making.

Outcomes:  Understanding of role of operations management in organizations, and applying models of production and operations management to decision making.

Learning Objectives:




As of this writing, Sakai will be used for course announcements, homework submissions, and grade postings. It is your home page for the course.   Generally speaking, the raw scores posted on Sakai should be correct (although I have encountered some problems with that!).  If I end up adding any extra credit (which I do NOT plan to do), then please do not rely upon Sakai's Course Total calculations.  Grades are calculated as specified in this syllabus. 

Course Format:

As of this writing, this course is planned as an asynchronous, online course.  This means that we will not be meeting in person, and that we will not have regular online class sessions.  We will meet (zoom) for the first session, and then we will have zoom sessions (possibly during "class" time, but mostly using project team signup meetings with me).      This way, we will have the flexibility to hold regular, flipped and online classes.

Several of you have taken some of my other courses, and have found the online videos very helpful.  For this course, the textbook came with videos for the PPTs and the guided examples for many of the models.  Although they were not created by me, they are excellent, and the models are presented in a very helpful format.  I have supplemented with a few videos where I thought they were needed.  I'm pretty open to teaching the course in practically any format, so I will probably defer to the class preference.  There may be weeks where you would really like my help in explanation certain concepts or going through the Excel implementations.  And there may be certain weeks where you could use the time better to work with your team on a more time-consuming project assignment, and would rather rely upon the videos online for the lectures.  I will keep you apprised via Sakai.

The course is organized into an orientation module (which I recommend be completed before the semester begins), and weekly pages on Sakai that contain links to the assignments, slides, quizzes, videos, models that you need for that week.  

Homeworks/Assignments:    (Homework Spreadsheet!)

Reading Assignments and Quizzes:  There is usually one chapter per week.  For two of the weeks, there are two chapters.  For two of the weeks, there is a chapter plus a small supplement.   There are quizzes on the readings.  Please see Quizzes, below.  

Homework:  There is homework almost every week.  Usually, the homework is an OM model that you have to implement in Excel.  They are often similar to the Model example videos, and there are also example solved problems in the text.  Homework is always due the date of the next class meeting, so one week after it is assigned, at 11:55 p.m.  This gives you time to work on it, but also to ask me questions during the following class, if you need help with something.   BTW, the homeworks are NOT directly from the Instructor's Manual;  I have edited them and modified them.  Always check the homework spreadsheet to see any revisions that I have made to the text assignments.

Business Case/Video/DiscussionBoard Assignments:  Some weeks, there are videos, links or discussion board assignments to be completed as a team assignment.  These are usually business cases that apply a concept learned in the chapter that week.

Project Assignments:  There is an ongoing project that relates the weekly OM topics to a company that your team will choose.  There is also a final report and presentation on the operations of the company due during Final Exams week.  The project is an intensive analysis of the role of OM in a specific company's operations and, more importantly, in formulating and supporting their  strategic planning.  The project requires significant research about the company, and often, additional research into the models that we have used in class.  Further, sometimes, detailed information about the company's use of a topic in OM may not be available.  The project team must  make educated assumptions, or, in some cases, recommendations, based on what you have learned about the company, and about criteria for selecting OM techniques and models.

Programming Environment:  Campus Network, Rights and Responsibilities

As a user of the campus network, you should be aware of your rights and responsibilities in

Much of your work will be done on your laptop, or, if for some reason you can't install MS Excel on your laptop, on a virtual machine that I will provide for you.  So I don't think there will be an issue with saving your work.  However, if you use the University computers, be aware that the University computers labs provide Computer Science students with permanent storage on P: drive. If you use both computer lab machines and other machines, or just share with a partner, you will want to take all of your files with you. You can use a GitHub,  Google Drive, Mercurial and BitBucket, Box, or, in a pinch, send an email to yourself or your partners with attachments, or even a flash drive.

Academic Honesty:

The penalty for cheating may be anywhere from a 0 on an assignment to a grade of "F" in this course. The appropriate dean will be informed in writing of any cheating incidents. No exceptions, for any reason.

Cheating consists of, but is not limited to:

Help from any source is fine concerning

Quizzes:  There are no exams.  There are quizzes on Sakai for each chapter that is covered in class.   Each quiz has 10 objective questions on the readings for that week.  The quizzes are from the textbook, and their purpose is to  keep you up to date with the reading and make sure that you extract the important concepts.  The quizzes are individual assessments and may not be completed in collaboration with anyone else.  BTW, the quizzes are NOT directly from the Instructor's Manual;  I have edited them and modified them.  Except for Week 1 and Week 4, quizzes must be completed during the first half hour of class time each week.  This will encourage you to complete your readings before class begins, which will also prepare you for the in-class and project assignments.  To clarify:  the quizzes for a specific week are due before we hold the class on that material.  The homework assignments for a specific week are due the week after we hold the class on that material.  Exceptions are Week 1 and Week 4.

Students with Disabilities: If you have a documented disability and wish to discuss academic accommodations, please contact the Services for Student Accessibility Office (773-508-3700 and as soon as possible.  Students with documented disabilities who provide me with a letter from the SAC office will be fully accommodated as per the terms of the letter.  In this course, quizzes may be taken outside of class, so you will most likely not require a separate testing location.  However, if you need extra time, please let me know as soon as possible.  No medical or disability accommodations can be provided beyond what SAC specifies.  Accommodations cannot be provided retroactively.  Please do not send me doctor's notes or any personal medical information, unless there is some unforeseen medical emergency that cannot be covered by a SAC accommodation.

Students with Sponsorships and Scholarships:  If you require a certain grade in order to satisfy a sponsor or a scholarship requirement, please be sure to monitor your grade on Sakai.  I will consider only your performance in this course in calculating grades, using the grading rubric posted in this syllabus.  If you cannot achieve a minimum grade that is required by a sponsor or a scholarship, I will not change your grade to help you meet that requirement.  This would be unfair to other students, and not reflective of your performance in this course.  You are responsible to monitor your grade and to keep apprised of the withdrawal dates posted by the registrar.

Lateness:  You may only submit an assignment late if you request and are granted permission to do so.  Even for valid reasons, late assignments are worth only half credit.  Due dates are clearly listed on Sakai.  

Extra Credit:No extra credit opportunities will be provided.  It is neither practical nor fair to the other students.  Note that there are 1015 points available.  However, the course is graded on the basis of 1000 points, which means that there are 15 extra points built into the course.


Course grades are assigned as follows:

The table below lists the points value for each component of the course.
Note that you can earn a total of 1030 points.  The course is graded on the basis of 1000 points.
 There is NO extra credit in the course beyond the 30 extra points built into the table below.
If you miss a quiz or a homework assignment, or do poorly on an assignment, this will compensate.
Course Component # Assignments Points/ Assignment Total Points
Orientation 4
5 or 10 30
Homework 12 15 180
Quizzes (There is no Quiz #7, as there is no quiz in Week 7.  The numbering skips to Quiz #8.) 12 30 360
Project Assignments
12 25 or 35
Business Cases 6 15 or 30
Project Final Report
Project Presentation


Course Schedule:
Assignments are to  be turned in the week after they are listed below as due, generally by 11:55PM.
  Please check Sakai, as there are some due dates that are earlier.
This schedule is only a guide.  While every effort will be made to adhere to the schedule, changes may be made in response to class progress or interest.
You are responsible for any announcements made in class or posted on Sakai!!

Page numbers for the Homework assignments are listed for 13th edition, with the 12th edition in parentheses.  So, for example, p. 65(62), Problem 4, means that you will find this problem on page 65 of the 13h edition, and on page 52 of the 12th edition.

Week Date
Topic Naarated PowerPoints Project Busines or
Homework (on HW spreadsheet)
  by 9/01   Orientation:          
      Sakai:  orientation assignments          
before class     Brief Intro to Excel          
Week 1 27-Aug   Intro Chapter 1 Narrated Slides (23:40) Select Company   P. 66(65), Problem 4 Labor Productivity
      Competitiveness, Strategy, Productivity Chapter 2 Narrated Slides (23:56) Mission Statement   p. 67(66), Problem 7 (Excel) Multifactor Productivity
          SWOT Analysis   p. 67(66), Problem 9 Productivity Increase
          Product-Service Mix     Expected Productivity Rates
Week 2 3-Sep   Forecasting Chapter 3 Narrated Slides (21:46) Forecasting Criteria   p. 124(124), Problem 3.1 Regression (Problem 23)
       (review of Regression)
  Project Assignment
  p. 125(125), Problem 3.2 Exponential Smoothing (Problem 3)
          Moving Average vs. Exponential Smoothing     Naà·¥, Moving Average, Exp Smoothing (Problem 4)
Week 3 10-Sep   Product and Service Design Chapter 4 Narrated Slides (28:11) Create a Service Blueprint Burton's Snowboards p. 171(168), Review Question, revised
4.11, revised
Service Blueprint
      Reliability Chapter 4s Narrated Slides (10:00)   Zappos p. 184(181), Problem 4s-5 Requirements matrix
Week 4

Capacity Planning Chapter 5 Narrated Slides (27:27)     p. 216(212), Problem 5-1, revised Utilization and Efficiency (5-1)
      Decision Making Chapter 5s Narrated Slides (23:16)     p. 216(212), Problem 5-5, revised Breakeven, Volume, TC, TR (5-3)
              p. 217(213), Problem 5-11, revised Optimal Costs/Charges (5-6)
              p 236(231), Problem 5s-1, revised Breakeven, Purchasing Decision (5-12)
              p. 236(231), Problem 5s-2, revised Decision Making, uncertainty (5s-13)
Week 5 24-Sep   Process Selection and Facility Layout Chapter 6 Narrated Slides (30:39) Types of process selection and facilities layout   p. 289(281), Problem 4, revised Line Balancing (6.1)
              p. 292(284), Problem 12, revised Assigning Tasks; Process Efficiency (6.2)
Week 6 1-Oct  

Location history, features, planning Business Case:  Walmart p. 339(333), Problem 7s-5, revised Learning Percentage (Rate) (7s-5)

  Opening in India p. 368(362), Problem 8.7, revised Cost-Profit-Volume Analysis(8-2)

  Walmart closing stores! p. 368(363), Problem 8.11, revised Cost-Profit-Volume Analysis(8-4)

just because it's cool-----> Using PowerMap p. 369(363), Problem 8.13, revised Factor Rating (8-9)

      Center of Gravity (8-12)
Week 7 8-Oct  

    Probability (20:39)  
       make-up stats background       Probability Distribution (8:01)
              Normal Distribution (20:30)
              Sampling Distribution (12:17)
              Confidence Intervals (13:03)
              Hypothesis Testing (12:11)
Week 8 15-Oct   Quality Chapter 9 Narrated Slides (33:57)

  Check Sheet and Pareto Diagram (9-2)
      Management of Quality Chapter 10 Narrated Slides (29:35) define quality (product and/or service)   video for Problem 10.1, p. 448 Run Charts (9-4)
      Quality Control     slides 1-25, pp. 410 - 427, 440-444 application of graphical tools  
p. 454(448), HW, Problem 10.1, revised Cause and Effect ("fishbone") Diagram (9-5)
                Scatter Diagram (9-8)
                x-bar chart (10-1)
                range chart (10-3)
Week 9 22-Oct   MRP and ERP Chapter 12 Narrated Slides (33:14)     p. 541(536), MRP Plan, Problem 12.5, revised. MRP and ERP Tree Diagram (12-01)
                MRP and ERP Tree Diagram (12-02)
                MRP Plan (12-14)
Week 10 29-Oct   Inventory Management Chapter 13 Narrated Slides (27:15) types of inventory   (p. 593-4(589), Problem 4, practice, optional (EOQ)) ABC--EOQ (13.01)
          Begin exploring inventory info for project   p. 595(591), Problem 14, revised (ROP) EOQ (13-03)
          buy vs. make?   p. 599(595), Problem 36, revised (SL) Reorder point, normal dist. (13-27)
          direct materials     Service Level (13-34)
          indirect materials      
          MRO (Maintenance, Repair and Operations)      
Week 11 5-Nov   Just in Time and Lean Operations Chapter 14 Narrated Slides (29:13) Lean Operations Disc. Board, p.636(632) p. 640(636), Problem 1, revised JIT models (optional)
            Virginia Mason Hospital p. 641(637), Problem 7, revised Number of containers (14-3)
               example of Service Lean   Number of Cycles (14-4)
Level Production (14-6)
Computer Takt Time (14-9)
Week 12 12-Nov   Supply Chain Management Chapter 15 Narrated Slides (29:44) SCM and your company--advances, IT in SCM--examples and thoughts.  
      Short intro to Coca Cola SCM   role of technology, analytics, etc.
competitive advantage
Amazon SCM and competitive advantage  
Week 13 19-Nov   Scheduling Chapter 16 Narrated Slides (27:00) Scheduling:  High-Volume, Intermediate,  Washburn Guitar p. 722, Problem 2, revised Scheduling:  Assignmnet Method (16.1)
             Low (or combination?), Sequence Dependent?   p. 723, Problem 6, revised Sequencing Models: FCFS, SPT, EDD, CR (16.6)
          Scheduling of services? (customers, workforce)     Sequencing Models (16.8)
          Cyclical scheduling?     Sequencing using S/O rule (16.16)
Week 14 26-Nov   Thanksgiving Break, no classes

Week 15 3-Dec   Queuing--no readings or questions   preview of final project report  Disney queuing    
      Linear Programming Chapter 19 Narrated Slides (21:41)       and presentation updates on Disney interactive lines p. 849, Problem 19.11, revised Maximization using Solver (19.6)

Managing Disney queues

Further updates on Disney queues

Week 16 10-Dec   Final Project Presentations
Final Project Due      

Important Dates:

 Please check the registration, withdrawal and vacation dates from the LUC academic calendar.