IE 312 Industrial Operations Research I Course Syllabus: Fall 2017 TR 9:30 AM 10:45 AM, AG/IT 118A Instructor: Dr. Sojung Kim, Assistant Professor, Department of Engineering & Technology Phone: (903) 468-8122 Fax: (903) 886-5690 E-mail: Sojung.Kim@tamuc.edu Office Location: AG/IT Room 216 Office Hours: MW 9:30 AM 12:00 PM; or by appointment Please contact the instructor ahead of time if you plan to visit the instructor s office. Course Information Description: This course focuses on the application of linear programming techniques. Most of the mathematical models presented in the course are normal prescriptive or optimization applications. The models include the Diet, Work-Scheduling, Capital Budgeting, Short-Term Financial Planning, Blending, Multi-period Decision (Inventory model), Multi-period Financial Model, and Multi-Period Work Scheduling. The course includes discussions of the simplex algorithm and other methods to derive solutions for the above models. The Excel Solver software is also used in the course to solve linear programming problems. Discussions (Sensitivity Analysis) are included as to how changes or variations in a linear programming s parameters affect the optimal solution. (2017-2018 Undergraduate Catalog, Texas A&M University-Commerce, http://catalog.tamuc.edu/undergrad/) Prerequisites: Math 335 (or equivalent) with a minimum grade of C. Student Learning Outcome: Be able to define an organization problem including specifying the objectives and parts of the system that must be analyzed before the problem is solved. Be able to understand the basic building blocks of linear algebra, matrices, and vectors analysis. Be able to apply the knowledge of matrices and vectors to develop a systematic procedure (e.g. Gauss-Jordan method) to solve linear system of equations. Be able to collect data to estimate the values of parameters that affects the above problem. Be able to develop a mathematical model of the problem. Given the model, the student will be able to choose the alternative that best meets the objectives.
Be able to understand the sensitivity analysis of an optimum solution. Be able to present the results and conclusions to an organization. Textbook (required): Taha, H. A. (2016) Operations Research: An Introduction, 10 th edition, Prentice Hall (ISBN- 978-0134444017). Textbook (optional): Taha, H. A. (2010). Operations Research: An Introduction, 9 th edition, Prentice Hall (ISBN- 978-0132555937). Winston, W. L. (2003). Operations Research: Applications and Algorithms, 4 th edition, Duxbury Press (ISBN- 978-0534380588). Course Requirement Instructional / Methods / Activities Assessments This course utilizes lectures and assignments to assist students in achieving the course learning outcomes. The assessment criteria for the stated student learning outcomes will include a term project, assignments, exams, and a final exam. Assignments will be given to support the instructional material (either in-class assignment or homework assignment). Students will have an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. Students will have an ability to communicate effectively. There will be two exams and a final exam. Students will apply theory and mathematical principles to solve applied engineering problems. Exams will be used to asses a student s knowledge and skills related to operations research concepts. The term project is devised to make students utilize their knowledge of Operations Research I to solve real-world problems. The types of projects will be left up to the student teams. The final report should be comprehensive, should describe methods used, and should show and illustrate the improvements and the final solution. A detail written procedure will be provided at the time of team member formation. Grading Exam 1 20% Final Grade A 90 100 Exam 2 20% B 80 89 Assignments 20% C 70 79 Term Project 20% D 60 69 Final Exam 20% F Below 60 Technology Requirement
The following technologies will be required for this class. - A scientific calculator for exams (one with built-in statistical functions). - Microsoft Word, Excel, PowerPoint. - Lingo optimization software. Communication and Support Interaction with Instructor Statement Outside of the classroom, email will be the primary communication tool. Students should communicate with the instructor via email at the address provided in this syllabus. The instructor will communicate with students via email through their myleo email address. Course and University Procedures/Policies Course Specific Procedures Each exam will be given in class. Exams are closed book and notes. All the exams are comprehensive. Students will need a scientific calculator for exams. Cell phones are not acceptable as a calculator. Use of unauthorized aids on exams will result in a grade of zero. All assignments are due one week from the day they were assigned unless specified otherwise in the syllabus or by the instructor. Late work will not be accepted and a grade of 0 will be assigned, unless prior arrangements are worked out with the instructor. Late penalties will be assessed to any prior-arranged approved late work. There will be one group project. The syllabus is a guide. Circumstances and events, such as student progress, may make it necessary for the instructor to modify the syllabus during the semester. Any changes made to the syllabus will be announced in advance. You will be expected to do all the readings throughout the semester. No make-up exams will be permitted unless official documentation for absences is provided (e.g., death in the family, illness). University Specific Procedures Student Conduct All students enrolled at the University shall follow the tenets of common decency and acceptable behavior conducive to a positive learning environment. The Code of Student Conduct is described in detail in the Student Guidebook. http://www.tamuc.edu/admissions/registrar/documents/studentguidebook.pdf Students should also consult the Rules of Netiquette for more information regarding how to interact with students in an online forum: Netiquette http://www.albion.com/netiquette/corerules.html
TAMUC Attendance For more information about the attendance policy please visit the Attendance webpage and Procedure 13.99.99.R0.01. http://www.tamuc.edu/admissions/registrar/generalinformation/attendance.aspx http://www.tamuc.edu/aboutus/policiesproceduresstandardsstatements/rulesprocedures/13stude nts/academic/13.99.99.r0.01.pdf Academic Integrity Students at Texas A&M University-Commerce are expected to maintain high standards of integrity and honesty in all of their scholastic work. For more details and the definition of academic dishonesty see the following procedures: Undergraduate Academic Dishonesty 13.99.99.R0.03 http://www.tamuc.edu/aboutus/policiesproceduresstandardsstatements/rulesprocedur es/13students/undergraduates/13.99.99.r0.03undergraduateacademicdishonesty.pdf Graduate Student Academic Dishonesty 13.99.99.R0.10 http://www.tamuc.edu/aboutus/policiesproceduresstandardsstatements/rulesprocedur es/13students/graduate/13.99.99.r0.10graduatestudentacademicdishonesty.pdf ADA Statement Students with Disabilities The Americans with Disabilities Act (ADA) is a federal anti-discrimination statute that provides comprehensive civil rights protection for persons with disabilities. Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodation of their disabilities. If you have a disability requiring an accommodation, please contact: Student Disability Resources & Services Texas A&M University-Commerce Gee Library, Room 162 Phone (903) 886-5150 or (903) 886-5835 Fax (903) 468-8148 Email: StudentDisabilityServices@tamuc.edu Website: Office of Student Disability Resources and Services http://www.tamuc.edu/campuslife/campusservices/studentdisabilityresourcesandservices/
Nondiscrimination Notice Texas A&M University-Commerce will comply in the classroom, and in online courses, with all federal and state laws prohibiting discrimination and related retaliation on the basis of race, color, religion, sex, national origin, disability, age, genetic information or veteran status. Further, an environment free from discrimination on the basis of sexual orientation, gender identity, or gender expression will be maintained. Campus Concealed Carry Statement Texas Senate Bill - 11 (Government Code 411.2031, et al.) authorizes the carrying of a concealed handgun in Texas A&M University-Commerce buildings only by persons who have been issued and are in possession of a Texas License to Carry a Handgun. Qualified law enforcement officers or those who are otherwise authorized to carry a concealed handgun in the State of Texas are also permitted to do so. Pursuant to Penal Code (PC) 46.035 and A&M-Commerce Rule 34.06.02.R1, license holders may not carry a concealed handgun in restricted locations. For a list of locations, please refer to the Carrying Concealed Handguns On Campus document and/or consult your event organizer. Web URL: http://www.tamuc.edu/aboutus/policiesproceduresstandardsstatements/rulesprocedures/34safet yofemployeesandstudents/34.06.02.r1.pdf Pursuant to PC 46.035, the open carrying of handguns is prohibited on all A&M University - Commerce campuses. Report violations to the University Police Department at 903-886-5868 or 9-1-1. Course Outline / Calendar Week Date Topics Reading 1 8/29 Introduction to Operations Research Ch. 1 8/31 Introduction to Operations Research Ch. 1 2 9/5 Modeling with Linear Programming Ch. 2 9/7 Modeling with Linear Programming Ch. 2 3 9/12 Modeling with Linear Programming Ch. 2 9/14 Modeling with Linear Programming Ch. 2 4 9/19 Modeling with Linear Programming Ch. 2 9/21 Modeling with Linear Programming Ch. 2 5 9/26 Exam 1 9/28 The Simplex Method and Sensitivity Analysis Ch. 3 6 10/3 The Simplex Method and Sensitivity Analysis Ch. 3 10/5 The Simplex Method and Sensitivity Analysis Ch. 3 7 10/10 The Simplex Method and Sensitivity Analysis Ch. 3
10/12 The Simplex Method and Sensitivity Analysis Ch. 3 8 10/17 The Simplex Method and Sensitivity Analysis Ch. 3 10/19 Exam 2 9 10/24 Duality and Sensitivity Analysis Ch. 4 10/26 Duality and Sensitivity Analysis Ch. 4 10 10/31 Duality and Sensitivity Analysis Ch. 4 11/2 Duality and Sensitivity Analysis Ch. 4 11 11/7 Term Project 11/9 12 11/14 11/16 13 11/21 11/23 Thanksgiving break (University closed) 14 11/28 Term Project 11/30 15 12/5 Project Presentation 12/7 Project Submission 16 Final exam