Outline

Schulich School of BusinessSchulich School of BusinessYork UniversityYork University

Course OutlineCourse Outline

OMIS 2010.03: Operations ManagementWinter 2013

SECTION

DAY TIME ROOM (SSB)

INSTRUCTOR & CONTACT INFO

OFFICE HOURS

R Thursdays 14:30-17:30 W136

Linda Lakats(416) 736-2100 x77939337F [email protected]

Wednesdays, 11:30 am-1:30 pm or by appointment

S Thursdays 14:30-17:30 E118

Hila Koren Cohen(416) 736-2100 x77939337F [email protected]

Mondays, 2:40-3:30 pm and Thursdays 5:30-6:30 pm

T Fridays 8:30-11:30 E115



U Tuesdays 14:30-17:30 N106

Muhammad Usman Ahmed337E [email protected]

Monday, 11:15am to 1:00pm

V Wednesdays

14:30-17:30 N107



W Tuesdays 8:30-11:30 E111

Hila Koren Cohen(416) 736-2100 x77939337F [email protected]

Mondays, 2:40-3:30 pm and Thursdays 5:30-6:30 pm

Administrative Support: Paula Gowdie Rose, S337N SSB, (416)736-5074

Brief Description

This core course examines a broad range of concepts using management science models, particularly as they pertain to production and operations management. The course emphasizes techniques, but also strives to convey an appreciation of how these techniques can be used to solve problems in operations and planning.

OMIS 2010, Sections R/S/T/U/V/W, Winter 2013 Page 2

Prerequisites

OMIS 1000 3.00 and MGMT 2000 3.00 for students who commenced the program prior to Fall 2011

For students who commenced the program in Fall 2011 and onward:Prerequisite: SB/MGMT 1050 3.00 and SB/OMIS 2000 3.00

Course objectives

This course prepares students to make decisions that affect an organization’s processes, with a specific focus placed upon operational processes. Students who complete this course will be able to build and use analytical tools such as spreadsheet models to support operational decisions. Most importantly, students will develop the necessary skills to effectively apply these tools to improve organizational decision-making processes.

Organization of the Course

Classes will consist of a combination of theory and practical application. Techniques and concepts will be introduced and will be reinforced by means of practice examples in class. Students should read assigned materials before as well as after class to support their understanding of the materials covered and should be prepared to actively participate in class discussion and problem solving. Students may be asked to present part of a solution worked on in class or assigned for practice at home.

Mastery of the techniques taught in this course requires regular practice. Students are encouraged to work on practice problems both individually and in groups. More detailed reading and practice problem lists will be provided on the CMD. The suggested exercises should be considered a starting point only – practice should not be limited to these questions. The more problems a student is exposed to, the easier it becomes and the better prepared they are for tests, quizzes and exams. Students are free to solve other problems from the text or other sources, as well as to try the additional problems posted on the CMD.

Students are expected to have basic knowledge of computers. Computations in the course will often require the use of Excel spreadsheets. Problem solution techniques using Excel will be discussed and illustrated in class. To do the cases students are expected to familiarize themselves with the entire computer functions covered in the text, whether or not they are discussed in class. This necessitates regular “hands on” practice beyond the preparation of solutions to problem sets.

A tentative timeline for the course is shown at the end of this document. This


is subject to revision.


Assigned Reading

Required reading for this course includes the following book, which is available for purchase from the York University bookstore:

Management Science, Custom Edition for Schulich School of Business, York University

Each section of a Schulich-based course has access to relevant course materials and information through Moodle. The posted documents will include a broad range of materials relevant to the course, including lecture slides, practice problems and information regarding additional readings.

Evaluation of Student Performance

The course grading scheme for undergraduate courses conforms to the 9-point system used in other undergraduate programs at York. The possible course letter grades for a course (and the corresponding grade points awarded for each grade are:

A+ 9 grade pointsA 8B+ 7B 6C+ 5C 4D+ 3D 2F 0

Students are reminded that they must maintain a cumulative GPA of at least 5.0 to remain in good standing and continue in the program, and to qualify for their degree. Schulich grading guidelines mandate a section GPA of between 5.5 and 7.0.

Where instructors use numerical or percentage grades, Schulich grading policy does not require a preset translation of percentages into specific letter grades. In this class, final letter grades will be determined by the following process:

The final grade for the course will be based on the following items weighted as indicated:

2 Assignments (2 @ 5% each) 10%2 Quizzes (2 @ 5% each) 10% Midterm Test 40%


Final Exam 40%Total 100%


Midterm: The mid-term is tentatively scheduled for week 6 and will be 2.5 hours in duration. The date is subject to change. Both quantitative and qualitative questions can be expected on the midterm. The test will consist of a combination of short answer and/or multi-part questions as well as true/false and multiple choice.

Assignments/quizzes: You will prepare two assignments and you will have two quizzes during the semester. These assignments will be usually from the book. The reports should be to the point and just answering what is asked in the questions. The assignments should also include appendices (or a disk) containing all relevant calculations, spreadsheet models and so on. Students may work alone or in groups of 2-3 students for the assignments. However, if you work in a group you must stay with that group for the entire semester. Quizzes will consist of either multiple choice and/or short answer questions and will take place at the beginning of class. Dates for quizzes and assignments (as well as topics covered on each) are provided in the schedule below.

REGARDING LATE ASSIGNMENTS: All assignments are due at the start of the class on the specified due date. Late work will only be accepted with a grade penalty (10 percentage points will be deducted each day. A weekend counts as two days, unless it is a three-day weekend, in which case it counts for three days. For example, the grade of an assignment submitted two days late and originally assessed as 70% will be reduced to 50% (2 x 10 percentage points)). Exceptions will only be granted for medical and other serious emergencies. Please make every effort to let your instructor know in advance if your assignment is going to be late – use email.

Final Exam: Date, time and location TBA. Duration: 3 hours.

The University’s Registrar’s office sets specific examination dates after the term begins and enrolment patterns are identified. Students should not make plans to be away from Toronto during any portion of the announced examination period until the dates for their specific examinations have been announced.

The final exam will be comprehensive, with greater emphasis on concepts from the latter part of the course. Both quantitative and qualitative questions can be expected. The exam will consist of a combination of short answer and/or multi-part questions as well as true/false and multiple choice.

Academic Honesty

Academic honesty is fundamental to the integrity of university education and degree programs. The Schulich School will investigate and will act to enforce


academic honesty policies where apparent violations occur. Students should familiarize themselves with York University’s policy on academic honesty. It is printed in full in your student handbook and can also viewed on-line on the Schulich website, clicking through as indicated:

Schulich website ‘Programs’ -> ‘Bachelor’s Degrees’ -> ‘BBA' -> ‘Academic Honesty’

While academic dishonesty can take many forms, there are several forms of which students should be highly aware because they are the ones that are most likely to occur in the context of a specific course.

[1] Plagiarism. Plagiarism is the presentation of information, ideas, or analysis generated by other people as being your own. It includes direct quotations as well a substantive paraphrases where the course of that information or idea is not clearly identified to the reader. Students should be careful to present their written work in a way that makes it completely clear in each and every cases where a quotation, a paraphrase, or an analysis is based on the work of other people. (This includes information from all sources, including websites.)[2] Cheating. Cheating is an attempt to gain an unfair advantage in an evaluation. Examples of such violations include (but are not limited to) consulting prohibited materials during an examination or copying from another student.[3] Failure to follow limitations on collaborative work with other students in preparing academic assignments. Each class differs in the mix of assignments and group-versus-individual preparation that is allowed. The instructor will make clear the extent of collaboration among students that is acceptable among students on various pieces of assigned work. Students should abide by those limitations and, if they are unsure about whether a certain level or form of collaboration would be acceptable, to clarify that question with the instructor in advance. [4] Aiding and abetting. A student is guilty of violating academic honesty expectations if he/she acts in a way that enables another student to engage in academic dishonesty. If a student knows (or should reasonably expect) that an action would enable another student to cheat or plagiarize, that student’s action constitutes an academic honesty violation. Illustrative examples include making your exam paper easily visible to others in the same exam or providing your own working or finished documents for an ‘individual assignment’ to another student (even if that other student said that he/she just wanted to ‘get an idea of how to approach the assignment’ or ‘to check whether they had done theirs correctly’).[5] Use of academic work in more than one course. Generally, academic work done for every course is ‘new’ work, done for that course only. If a student wishes to use some or all of the academic


work done for an assigned task in one course in another course, the student must get explicit, prior permission from both instructors so that they agree that the scope and nature of the overlapping use of that work is such that it can fairly be counted toward both courses.


Schedule of Topics and Readings

The following list of lecture topics and readings indicate the material to be read, reviewed and/or prepared for the various class sessions. If any changes in this schedule become necessary, notifications will be posted in the course Moodle, and where such changes need to be announced between class sessions, an email will be sent to students’ Lotus Notes email accounts, notifying them of the change.

Dates Week Topic Chapter

Assignmentsdue start of

classJan 7-11 1 Introduction to Linear

ProgrammingCustom text (Ragsdale Ch 2)

Jan 14-18 2 Modeling with Excel &

Sensitivity AnalysisCustom text (Ragsdale Ch 4)

Jan 21-25 3 Blending and Other

ProblemsCustom text (Ragsdale Ch 3)

Quiz #1 (re Weeks 1-2)

Jan 28 – Feb 1 4

Integer Programming, Networks and Transportation Models

Custom text (Ragsdale Ch 5 & 6)

Feb 4-8 5 Time Series ForecastingCustom text (Ragsdale Ch 11)

Assignment #1 (re Weeks 3-4)

Feb 11-15 6 MIDTERM

Feb 18-22 Reading Week – no class

Feb 25 – Mar 1 7 Simulation

Custom text (Ragsdale Ch 12)

Mar 4-8 8 Project ManagementCustom text – ONLINE (Ragsdale Ch 15)

Mar 11-15 9 Waiting Line Models

Custom text (Ragsdale Ch 13)

Quiz #2 (re Weeks 7-8)

Mar 18-22 10 Inventory Management Collier Ch 12

(to be provided)Mar 25-29 11 Statistical Process Control Custom text

(Collier Ch 16)


Dates Week Topic Chapter

Assignmentsdue start of

class

Apr 1-5 12 Decision AnalysisCustom text (Ragsdale Ch 14)

Assignment #2 (re Weeks 9-11)


Documents

Outline