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BAD 60095 Spring 2012 Guiffrida

BAD 60095 Global Supply Chain Business Models

Department of Management and Information Systems

Kent State University

Spring 2012

 

 

Instructor       

Dr. Alfred L. Guiffrida

Office:               A-411 Business Administration Building

Office Hours:    Tues 3:30 – 6:30; Wed 11:00 – 2:00; and by appointment

                           Additional hours available by advance appointment

Telephone:        (716) 954-3504

E-mail:              aguiffri@kent.edu

 

 

Course Objective

This course will focus on modeling techniques for supporting decision making in global supply chain management. The objectives of the course are to introduce students to the problems facing a global supply chain manager and the implementation of spreadsheet-based models for solving problems that arise in the operation of a supply chain. Emphasis will be placed on model formulation and interpretation in support of decisions to coordinate and improve supply chain operations.

 

 

 

Learning Objectives

After completing this course the student will be able to

 

i)     Understand performance measurement in global supply chain management

ii)    Develop skills to critically evaluate performance models found in the literature

iii)   Develop skills to create models for evaluating supply chain performance

iv)   Enhance skills for presenting performance models to supply chain executives

 

 

Class Materials

i) Lecture Notes in Global Supply Business Models by Dr. A. L. Guiffrida (provided by instructor to students free of charge; posted to Vista).

ii) Readings in Global Supply Chain Business Models (provided by instructor to students free of charge, posted to Vista).

iii) Microsoft Excel (available free of charge in student computer lab)

 

 

 

 

 

Course Prerequisites and Enrollment Requirements

Prerequisite: MIS 64005 Statistics for Management; Basic Working knowledge of Excel.

 

Enrollment/Withdrawal: Students have responsibility to ensure they are properly enrolled in classes.  You are advised to review your official class schedule (using Student Tools on FlashLine) during the first two weeks of the semester to ensure you are properly enrolled in this class and section.  Should you find an error in your class schedule, you have until Sunday, January 22, 2012 to correct the error.  If registration errors are not corrected by this date and you continue to attend and participate in classes for which you are not officially enrolled, you are advised now that you will not receive a grade at the conclusion of the semester for any class in which you are not properly registered.

For Spring 2012, the course withdrawal deadline is Sunday, March 18, 2012.

 

 

Grading Policy

                                      

            Evaluation                 Weight               Date

            Exam I (take home)    25%                Posted to Vista 3/15; Due 4/3.

            Class Discussion         25%                Every lecture

            Class Presentations      25%                 Four per student, dates to be announced

            Exam II (final)             25%                 Per University final exam schedule  

   

Your overall score (OS) for the course is determined by the following equation:

OS = 0.25(Exam I score) + 0.25(Class Discussion) + 0.25(Paper Presentation score) + 0.25 (Exam II score)

     

 

Your letter grade for the course will be assigned based on the following scale

 

            OS             Letter Grade           OS          Letter Grade

            93-100             A                     77-79           C+

            90-92               A-                    72-76           C

            87-89               B+                    68-71          C-

            83-86               B                      60-67           D

            80-82               B-                     0-59             F

           

 

 

 

 

 

 

 

 

Academic Integrity

We will follow the University Policy on Academic Integrity.  Academic honesty: Cheating means to misrepresent the source, nature, or other conditions of your academic work (e.g., tests, papers, projects, assignments) so as to get undeserved credit.   In addition, it is considered to cheating when one cooperates with someone else in any such misrepresentation.  The use of the intellectual property of others without giving them appropriate credit is a serious academic offense.  It is the University's policy that cheating or plagiarism result in receiving a failing grade for the work or course.  Repeat offenses result in dismissal from the University.

 

Students with disabilities

University policy 3342-3-01.3 requires that students with disabilities be provided reasonable accommodations to ensure their equal access to course content. If you have a documented disability and require accommodations, please contact the instructor at the beginning of the semester to make arrangements for necessary classroom adjustments. Please note, you must first verify your eligibility for these through Student Accessibility Services (contact 330-672-3391 or visit http://www.registrars.kent.edu/disability/ for more information on registration procedures).

 

 

Course Topics (subject to revision)

Topic

Description

Designing the Global Supply Chain Network: A Process Management Approach

Introduction to the quantitative modeling of global supply chains.

Demand and Supply planning for the Integrated Supply Chain.

Overview of aggregate planning, lot sizing and materials management in support of an integrated supply chain.

Deterministic and Probabilistic Supply Chain Product Flow Models

Mathematical programming and Monte Carlo simulation applications to supply chain design and performance measurement.

The Bullwhip Effect

Managing and controlling forecasting, information flow and related factors contributing to the bullwhip effect.

Radio Frequency Identification (RFID)

Applications of RFID in operation of a supply chain.

Transportation and Warehouse Management

Overview of transportation modes, tariff structures, freight consolidation and warehouse operations.

Models for Supply Chain Performance Improvement

Finance and marketing based models for justifying and improving supply chain performance.

Models for Closed-Loop, Green and Sustainable Supply Chains

Quantitative supply chain models to support green and sustainability initiatives.

Supply Chain Models for Disasters and Humanitarian Relief

 

Case studies on the application of supply chain models to disaster and humanitarian relief.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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