Superior Grain Team Assignment Final Dr
Nova Southeastern University
H. Wayne Huizenga School of Business & Entrepreneurship Assignment for Course:
QNT 5040 Business Modeling
Submitted to:
Yuliya Yurova
Submitted by:
Michael Attenasio
Allison Daniels
Stephanie Preston
Jerald Quarterman
Heather Wharton
Date of Submission: 2/10/2014
Title of Assignment: Simulation Case Team Assignment- Superior Grain Elevator Inc.
CERTIFICATION OF AUTHORSHIP: I certify that I am the author of this paper and that any assistance I received in its preparation is fully acknowledged and disclosed in the paper. I have also cited any sources from which I used data, ideas or words, either quoted directly or paraphrased. I also certify that this paper was prepared by me specifically for this course.
Student 's Signature: M.A, A.D., S.P. , J.Q., H.W.
*****************************************************************
Instructor 's Grade on Assignment:
TITLE OF RUBRIC: Superior Grain Case Analysis (Page 1 of 2)
Course: QNT 5040
LEARNING OUTCOME/S:(see syllabus)
Date:02/10/2014
PURPOSE: To facilitate effective decision making under uncertain conditions by quantifying risk.
Name of Student:
Stephanie Preston
VALIDITY: Best practices in Monte Carlo simulation.
Name of Faculty:
Professor Yurova
COMPANION DOCUMENTS: Assignment and format instructions, Case
Earning maximum points in each box in ‘PROFICIENT’ column and / or points in columns to the right of ‘PROFICIENT’ meets standard.
<<<<<<<<<< less quality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . more quality >>>>>>>>>>
Performance Criteria
Basic
Developing
Proficient
Accomplished
Exemplary
Score
Identify the problem
Does not identify the problem, or does not identify the right problem.
(0 pts)
Identifies symptoms
(5pts)
Identifies some elements of the problem.
(10pts)
Substantially
identifies the problem.
(12 pt)
Effectively and succinctly identifies the problem.
(15 pts)
Describes assumptions and
H. Wayne Huizenga School of Business & Entrepreneurship Assignment for Course:
QNT 5040 Business Modeling
Submitted to:
Yuliya Yurova
Submitted by:
Michael Attenasio
Allison Daniels
Stephanie Preston
Jerald Quarterman
Heather Wharton
Date of Submission: 2/10/2014
Title of Assignment: Simulation Case Team Assignment- Superior Grain Elevator Inc.
CERTIFICATION OF AUTHORSHIP: I certify that I am the author of this paper and that any assistance I received in its preparation is fully acknowledged and disclosed in the paper. I have also cited any sources from which I used data, ideas or words, either quoted directly or paraphrased. I also certify that this paper was prepared by me specifically for this course.
Student 's Signature: M.A, A.D., S.P. , J.Q., H.W.
*****************************************************************
Instructor 's Grade on Assignment:
TITLE OF RUBRIC: Superior Grain Case Analysis (Page 1 of 2)
Course: QNT 5040
LEARNING OUTCOME/S:(see syllabus)
Date:02/10/2014
PURPOSE: To facilitate effective decision making under uncertain conditions by quantifying risk.
Name of Student:
Stephanie Preston
VALIDITY: Best practices in Monte Carlo simulation.
Name of Faculty:
Professor Yurova
COMPANION DOCUMENTS: Assignment and format instructions, Case
Earning maximum points in each box in ‘PROFICIENT’ column and / or points in columns to the right of ‘PROFICIENT’ meets standard.
<<<<<<<<<< less quality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . more quality >>>>>>>>>>
Performance Criteria
Basic
Developing
Proficient
Accomplished
Exemplary
Score
Identify the problem
Does not identify the problem, or does not identify the right problem.
(0 pts)
Identifies symptoms
(5pts)
Identifies some elements of the problem.
(10pts)
Substantially
identifies the problem.
(12 pt)
Effectively and succinctly identifies the problem.
(15 pts)
Describes assumptions and
Bibliography: Bell, P. (2010). Superior grain elevator inc. [Case Study]. Ontario: Ivey Publishing. Cheung, Y. H., & Powell, R. (2012). Anybody can do value at risk: A teaching study using parametric computation and monte carlo simulation. Australasian Accounting Business & Finance Journal, 6(5), 101-118. Retrieved from http://search.proquest.com.ezproxylocal.library.nova.edu/docview/1459697346?accon Miller, L. (2013). A managerial accounting case utilizing optimization and simulation. Journal of Business Case Studies (Online), 9(5), 381-n/a. Retrieved from http://search.proquest.com.ezproxylocal.library.nova.edu/docview/1433049074?accou ntid= Appendix Additional Excel Files attached.