AIMS 3770: Production and Operation Analysis

Transcription

1 AIMS 3770: Production and Operation Analysis Loyola Marymount University Summer 2012 Session II Monday & Wednesday 12:00-3:00 PM Room: Hilton 113 Instructor Name: Dr. Linda Leon My Office: Hilton 209 Phone: (310) My Office Hours: Monday 11:15 11:45 AM, 3:00 3:30 PM Wednesday 11:15 11:45 AM, 3:00 3:30 PM Required Text(s): Heizer and Render, Operations Management, 10 th edition, Prentice Hall, 2011 Course Prerequisites BADM 1030, ECON 230, MATH 112 or 131, all with a minimum grade of C (2.0) Course Description This course will introduce students to decision making and model building in the management of operations which create products and/or services. The principles of operations management apply throughout the world to all productive enterprises. It doesn't matter if a good or a service is being produced, efficient production methods require the effective application of the concepts, tools, and techniques that are covered in this course. Hands-on learning is an important feature of the course. For each topic, a case analysis requires the use of Excel and/or other specialized operations management software to reinforce the underlying theoretical details. Learning Outcomes This course contributes to student achievement of the following CBA core learning outcomes: Students will demonstrate understanding of the core concepts in operations Students will accurately utilize quantitative techniques to model and evaluate business decisions Students will effectively utilize information technology and productivity software to analyze a business problem, recommend possible solutions, and communicate results to the appropriate audience Students will demonstrate critical thinking skills by defining, modeling, analyzing and evaluating complex business problems Upon completion of this course students are expected to successfully meet the following operations course learning outcomes: 1. Understand the common principles of production and operations management. 2. Apply strategies dealing with various problems encountered in the production of goods and services, including forecasting, production planning, aggregate planning, inventory management, location analysis and quality management. 3. Describe current issues and trends encountered in the production of goods and services.

2 Course Requirements Throughout the course, three computer projects will be assigned and graded. These three projects involve creating a spreadsheet model to analyze an operations decision problem. Students will submit their model along with short answer responses and recommendations for the decision problem being analyzed. Late projects and projects that do not meet the required format will not be accepted. There will be one midterm and a final in this course. Both exams are noncumulative and will be based on the recommended problems, projects, reading assignments, class lectures and exercises. In addition, there will be two quizzes on Excel-based applications. Students will have 20 minutes to complete each quiz in class. All exams and quizzes are closed book and closed notes and require the use of Excel. You are allowed to bring in a cheat sheet for the exams. This cheat sheet may not be bigger than 8-1/2 x 11 and not have anything stapled or taped to it. You may write/print on both sides of this sheet if you want. No cellphones, calculators or other electronic devices are allowed during the exam and the quizzes must be taken in the classroom. Students must use the classroom PC laptops to complete the quizzes and hands-on portions of the exams. No make-up examinations or quizzes will be offered. If there is a documented reason for missing the exam or quiz, the weights used to determine the final grade will be adjusted. Otherwise, the assignment will have a score of 0. There will be two assigned class exercises that will be collected and graded. Attendance in class on those days will be mandatory in order to receive class credit for the exercise. These exercises involve a small group where students will be given a case the lecture before. Students are expected to do background work for the case before the class period in order to participate on that day. 25% of the student s grade is based on the individual preparation and 75% is based on the group response.

3 Reading To fully appreciate operations management, it is important to study and practice applying operation principles as much as possible. Five reading assignment study guides covering specific topics and pages will be distributed in class throughout the semeser. While these assignments will not be collected or graded, they do outline the reading material that you will be held accountable for on the exams, projects and class exercises. This material will not be covered in class so it is important that you complete the study guides. The chapters listed in the course outline describe the general portions of the text that are relevant to the material scheduled for the lecture that day. This is an additional reference source for when you do not fully understand a topic presented in class or for when you miss class. Homework Additional problems from the book and class problem set handouts are recommended for each course topic on the course outline in order to reinforce the concepts, methods and techniques studied. These problems will not be collected or graded. Some solutions will be discussed in class. Homework solutions for these recommended problems will be posted on the course website one week after the problems are assigned. Technology Resources and Requirements Flash snippits will also be posted as course documents in my AIMS 3770 course in MyLMUConnect at These snippits will provide support for many of the intermediate Excel concepts required in this class. The course outline identifies the topics where the different snippits will be relevant to the material being presented in class. If you miss class or if you are struggling with Excel, you should make sure that you review these snippits as they are assigned. Files containing class materials, computer exercises, assignments, homework problems and solutions will be distributed as they become relevant via the internet at Students must use MyLMUConnect s Assignment feature to submit spreadsheets created for the projects and the quizzes. Students can monitor their grades in MyLMUConnect s gradebook. Current events for the reading study guides will also be posted in MyLMUConnect. At times I will communicate with you using campus systems, so it is essential that you regularly check your lion.lmu.edu address or forward your lion account to your preferred address.

4 Grading The final course grade will be distributed as follows: ASSIGNMENT WEIGHT 3 Projects (8% each) 24% 2 Excel Quizzes (3% each) 6% 2 Class Exercises (3% each) 6% Midterm Exam 32% Final Exam 32% TOTAL 100% Each assignment will be graded on the scale The point scores will then be combined according to the above weights at the end of the course and a letter grade will be assigned on the final total score according to the following guidelines: NOTES: FINAL TOTAL POINTS GRADE A B C D Below 60 F 1. Pluses and minuses for the letter grade are given based on the class curve for the final total points. 2. The scheduled topics and dates for the class exercises, quizzes and projects shown on the course outline may be adjusted as necessary in order to accommodate the pace of the course. 3. Academic Honesty: Academic dishonesty will be treated as an extremely serious matter, with serious consequences that can range from receiving no credit for assignments/tests to expulsion. It is never permissible to turn in any work that has been copied from another student or copied from a source (including Internet) without properly acknowledging the source. Every spreadsheet model must be programmed individually by the student submitting the work. It is your responsibility to make sure that your work meets the standard of academic honesty set forth in the LMU Honor Code and Process which appears in the LMU Bulletin (see 4. Americans with Disabilities Act: Students with special needs as addressed by the Americans with Disabilities Act who need reasonable modifications, special assistance, or accommodations in this course should promptly direct their request to the Disability Support Services Office. Any student who currently has a documented disability (physical, learning, or psychological) needing academic accommodations should contact the Disability Services Office (Daum Hall Room 224, ) as early in the semester as possible. All discussions will remain confidential. Please visit for additional information.

5 COURSE OUTLINE Date Day Topic Text Support 6/25 M Introduction to Course * Requires computer work Work Assignments Time Series Forecasting; Exponential Smoothing Chpt. 4 Problem Set #1* 6/27 W Trend Projections Chpt. 4 Problem Set #1* Seasonal Variations in Forecasting *Quiz 1* Project 1* 7/2 W Aggregate Production Planning Chpt. 13 Problem Set #2 7/4 M *July 4 th Holiday* Reading Assignment #1 Project 1* 7/9 M Linear Programming: Spreadsheet Models and Solver, Graphical Analysis, Linear Applications, Transportation Model * PROJECT 1 DUE * 7/11 W Location Analysis Class Exercise #1 Module B Problem Set #3* Reading Assignment #2 Prepare Class Exercise 1 Chpt. 8 Project 2* Problem Set #4* 7/16 M * MIDTERM * Project 2* 7/18 W Supply Chain Management Product Design Project Management * PROJECT 2 DUE * Chpt. 11 Chpt. 5 Chpt. 3 Reading Assignment #3 Reading Assignment #4 Problem Set #5

6 Date Day Topic Text Support Work Assignments 7/23 M Simulation & Model Building Module F Problem Set #6* Project 3* 7/25 W Inventory Management: Material Requirement Planning (MRP) *Quiz 2* Chpt. 14 Problem Set #7 Project 3* Prepare Class Exercise 2 7/30 M Just in Time Systems Total Quality Management Class Exercise #2 * PROJECT 3 DUE * Chpt. 16 Chpt. 6 Reading Assignment #5 8/1 W * FINAL EXAMINATION *