BAD 84019 Fall 2009 Guiffrida
BAD – 84019 Quantitative Management Modeling
“Doctoral Seminar in Supply Chain Management”
Department of Management and Information Systems
Kent State University
Fall 2009
Instructor
Dr. Al Guiffrida
Office: A-411 Business Administration Building
Office Hours: Monday and Wednesday 3-6 PM
Telephone: (716) 954-3504 (best way to contact me is via email)
E-mail: aguiffri@kent.edu
Course Objective
This course is a doctoral seminar designed primarily for students who seek an in-
depth understanding of the current research literature in supply chain management and who are interested in doing research in supply chain management. In this course we will study the academic literature with emphasis on the development and use of analytical tools and models to solve supply chain management problems. Specifically, the course will address quantitative modeling to support operational, tactical and strategic decision making in supply chain management. Doctoral students in Management, Marketing, Finance and Economics will find this course of interest.
Class Materials
i) Lecture Notes in Supply Chain Modeling by Dr. A. L. Guiffrida
ii) Readings in Supply Chain Management (provided by instructor)
Course Prerequisites and Enrollment Requirements
Prerequisite: Introductory Statistics
Enrollment: Students attending the course who do not have the proper prerequisite risk being deregistered from the class. Students have responsibility to ensure they are properly enrolled in classes. You are advised to review your official class schedule (using Web for Students) 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 September 6, 2009 to correct the error with your advising office. 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.
Course Topics
1) Introduction to serial and multi-echelon supply chains
2) Review of mathematical convolution theory, reproductive/nonreproductive probability density functions, sums of independent and dependent random variables.
3) Monte Carlo simulation of an integrated supply chain.
4) Mathematical programming models (linear and integer) for supply chains.
5) Transportation model applications to supply chain management.
6) Fixed-charge models for vendor capacity allocation.
7) Set covering and location modeling analysis.
8) The Bullwhip Effect.
9) Mathemtical programming and simulation solutions to the Bullwhip Effect
10) Modeling demand during lead time for stochastic inventory control systems
11) Optimization of multi-stage inventory control systems.
12) Yield Models for serial and multi-stage supply chains
13) RFID applications to supply chain management.
14) Financial justication of continuous improvement in supply chain performance metrics.
Grading Policy
The grades for the course will be based on class participation, paper reviews, and a final student research paper. The weighting for each component will be as follows:
Class Participation 20%
Paper Reviews and Presentation 40%
Final Paper 40%
Class Participation will be evaluated based on the extent to which each student contributes meaningful comments to class discussion. Problems will be assigned to students to solve and present during class meetings.
Paper Reviews will be graded based on extent to which the presenter has attempted to understand and explain their assigned paper from the literature. Each student will be assigned 2-3 papers to present to the class.
The Final Paper is intended for the student to explore a course topic in more detail. The goal of the Final Paper is to prepare original research paper that would be at a minimum presentable at the level of a refereed national conference.
more detail. The goal of the Final Paper is to prepare original research paper that would be at a minimum presentable at the level of a refereed national conference.
Your overall score (OS) for the course is determined by the following equation:
OS = 0.30(Weekly Assignments score) + 0.30(Research Presentation score) + 0.40 (Final Paper)
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
Course Withdrawal
For the Fall semester, the course withdrawal deadline is Sunday November 8, 2009.
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, quizzes, papers, projects, homework assignments) so as to get undeserved credit. The use of intellectual property of others without giving them appropriate credit is a serious academic offence. It is the University’s policy that cheating or plagiarism result in receiving a failing grade (0 points) for the work or course. Repeat offences may result in dismissal from the University.
Students with disabilities
University policy 3342-3-18 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 the Student Accessibility Services (contact 330-672-3391 or visit www.kent.edu/sas for more information on registration procedures).
Reading List (Partial)
1) “An Economic Model for Justifying the Reduction of Delivery Variance in an Integrated Supply Chain,” forthcoming INFOR; Guiffrida, A. L., Jaber, M. Y. and Rzepka, R. A.
2) “Managerial and Economic Impacts of Reducing Delivery Variance in the Supply Chain,” forthcoming, Applied Mathematical Modeling, Guiffrida, A. L. and Jaber, M. J.
3) “Cost Characterizations of Supply Chain Delivery Performance,” International Journal of Production Economics, 102(1), 2006, 22-36; Guiffrida, A. L. and Nagi, R.
4) “Economics of Managerial Neglect in Supply Chain Delivery Performance,” The Engineering Economist, 51(1), 2006, 1-17; Guiffrida, A. L. and Nagi, R.
5) “A Convolution Algorithm for Evaluating Supply Chain Delivery Performance,” Proceedings of the 40th Hawaii International Conference on System Sciences (HICSS- 40), 9 pages, CD-ROM, IEEE Computer Society, January 3-6, 2007; Guiffrida, A. L., Rzepka, R. A. and Jaber, M. Y.
6) “Coordinating a Three Level Supply Chain with Price Discounts, Price Dependent Demand, and Profit Sharing,” International Journal of Integrated Supply Management, 2(1/2), 2006, 28-48; Jaber, M. Y., Osman, I. H. and Guiffrida, A. L.
7) Supply Chain, Theory and Applications, Vedran Kordic, 2008, I-Tech Publishing
8) “Achieving Sharp Deliveries in Supply Chains Through Variance Reduction,” European Journal of Operational Research, 171(1), 2006, 227-254; Garg, D., Naraharai, Y. and Viswanadham, N.
9) “Applying Capability Analysis Index to the Supply Chain Network Analysis,” Total Quality Management, 18(4), 425-434; Wang, F. K. and Du, T.
10) “The Bullwhip Effect in Supply Chain Management,” Sloan Management Review, Spring 1997, 93-102; Lee, H., Padmanabhan, W. and Whang, S.
11) “Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information,” Management Science, 46(3), 2000, 436-443.
12) “The Effect of Lead Times on Safety Stocks,” Production and Inventory Management Journal, 1999, 6-10; Evers, P. T.
13) “Fuzzy Inventory Models,” Guiffrida, A. 2009; in Inventory Management: Non Classical Views, Taylor and Francis, M. Y. Jaber (ed.).
