Course Number: OIM 351 Instructor: Dr. N. Tamimi

Course Number: OIM 351 Instructor: Dr. N. Tamimi Course Title: An Introduction to Semester: Fall 2014 Management Science Credits: 3 Prerequisites: STAT 251 Office: 437 Brennan Hall Office Hours: T, TH: 3:45 pm – 5:15 pm Phone: 941-4288 941 4209 (Admin Assistant) Email: [email protected] Homepage: http://ec.scranton.edu/tamimi/homepage.htm

CATALOG DESCRIPTION

A survey of the quantitative techniques that are used by modern managers. Topic coverage will focus on model building, linear programming methods, queuing models, project management, and simulation. Emphasis is placed on the use and limits of these quantitative methods. Model analysis will be done using appropriate software.

REQUIRED TEXT

Text: Spreadsheet Modeling and Decision Analysis

Author: Cliff T. Ragsdale

Publisher: South-Western/Cengage Learning

Year/Ed: 2015/7th Edition

ISBN-13: 978-1-285-41868-1

ISBN-10: 1-285-41868-9

Availability: Print

***A cheaper, customized version of this text (comprising only selected chapters) is available through the University Bookstore (ISBN 978-1-30503-307-8).

LEARNING GOALS & OBJECTIVES

1. Each student will be familiar with basic quantitative techniques which are useful in analyzing and solving decision problems. (Linked to KSOM’s learning goal 2B) 2. Each student will understand the role and scope of management science as a tool in the managerial decision making process. (Linked to KSOM’s learning goal 5A) 3. Each student will be skilled in formulating decision problems as mathematical models, identifying and applying the appropriate solution procedure for a given problem, and interpreting the model solution. (Linked to KSOM’s learning goal 2B and 5A) 4. Each student will understand the advantages and limitations of each quantitative technique. (Linked to KSOM’s learning goal 2A and 2C) 5. Each student will be able to use electronic spreadsheets to assist decision makers in applying management science to real-world problems. (Linked to KSOM’s learning goal 2B and 5A)

The above objectives will be attained through a combination of lectures, hands-on assignments and problem solving sessions. Also, please note that PowerPoint slides, solutions to practice problems /Excel assignments, and Camtasia instruction videos may be accessed directly from my homepage.

ATTENDANCE, GRADING, AND OTHER POLICIES

Students are expected to attend all scheduled class meetings. Missing more than two classes will result in a zero grade for attendance. Every student is responsible for all materials presented and announcements made during any class. There will be no make-up exams or quizzes! Make-up exams will be given only at the discretion of the instructor in cases of serious medical emergencies as evidenced by a documented report. The final grade will be determined as follows:

Attendance: 10% Quiz 1: 7.5% (Thursday, September 18, 2014) EXAM 1: 25% (Thursday, October 2, 2014) Quiz 2: 7.5% (Thursday, October 30, 2014) EXAM 2: 25% (Thursday, November 6, 2014) Final (comprehensive): 25% (As scheduled by the registrar)

Grading scale: 91 - 100 A 73 - 70 C 90 - 87 A- 69 - 65 C- 86 - 84 B+ 64 - 60 D+ 83 - 80 B 59 - 55 D 79 - 77 B- < 55 F 76 - 74 C+

TENTATIVE COURSE OUTLINE* Week Topic Chapter

1 Introduction to Modeling and Decision Analysis 1 Review of Graphing Straight Lines, Inequalities, and Solving Simultaneous Equations

1-3 Introduction to Optimization & Linear Programming

2 Formulating Simple LP models Graphical Solution Approach Corner Point Solutions & Level Curves Special Cases Alternative Optimal Solutions Infeasibility Unboundedness

4-6 Modeling and Solving LP Problems in a Spreadsheet 3 Marketing Applications Make or Buy Problems Financial Applications Production & Inventory Planning Applications Blending Problems Transportation Problems

Integer Linear Programming 6 An Employee Scheduling Problem A Knapsack Example Problem

7 Sensitivity Analysis 4 Objective Function Coefficients Changes Right-Hand Side Value Changes Shadow Prices

8.9 Network Modeling 5 The Transshipment Problem The Shortest Path Problem The Assignment Problem Maximal Flow Problems Minimal Spanning Tree Problems

10-11 Project Management 15 PERT/CPM Networks The Critical Path Method Uncertain Activity Times Time-Cost tradeoffs

Simulation 12 12-13 Access textbook chapter via homepage link Advantages/Disadvantages of simulation Business Applications Using Crystal Ball

*Please note that the instructor has the right to modify the above schedule as deemed appropriate.

Students with Disabilities

In order to receive appropriate accommodations, students with disabilities must register with the Center for Teaching and Learning Excellence and provide relevant and current documentation. Students should contact Mary Ellen Pichiarello (570-941-4039, LSC 580) or Dr. Andrée Catalfamo (570-941-4218, LSC 582E) for an appointment. For more information, please visit http://www.scranton.edu/disabilities.

Writing Center Services

The Writing Center focuses on helping students become better writers. Consultants will work one-on-one with students to discuss students’ work and provide feedback at any stage of the writing process. Scheduling appointments early in the writing progress is encouraged.

To meet with a writing consultant, call (570) 941-6147 to schedule an appointment, or send an email with your available meeting times, the course for which you need assistance, and your phone number to: writing- [email protected]. Online appointments are also available – connecting virtually using Google Docs and Google Talk.