Electric Fan Case Forecasting
H. Wayne Huizenga Graduate School of Business and Entrepreneurship
Nova Southeastern University
Assignment for Course: QNT5040 – Business Modeling
Submitted to:
Submitted by: BASS
Date of Submission:
Title of Assignment: Electric Fan Case - Forecasting
CERTIFICATION OF AUTHORSHIP: We certify that we the authors of this paper. Any assistance we received in its preparation is fully acknowledged and disclosed in the paper. We have also cited any sources from which we used data, ideas or words, either quoted directly or paraphrased. We also certify that this paper was prepared by us specifically for this course.
Student’s Signature: BASS
Instructor’s Grade on Assignment:
Instructor’s Comments:
TITLE OF RUBRIC: Case Analysis (Page 1 of 2)
Course: QNT 5040
LEARNING OUTCOME/S: (see syllabus)
Date:
PURPOSE: To facilitate effective decision making under uncertain conditions by quantifying risk.
Name of Student:
VALIDITY: Best practices in Monte Carlo simulation.
Name of Faculty:
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.
>
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
(5 pts)
Identifies some elements of the problem.
(10 pts)
Substantially
identifies the problem.
(12 pt)
Effectively and succinctly identifies the problem.
(15 pts)
Describes assumptions and methods
Does not describe assumptions and methods used
(0 pts)
Does not precisely describe the assumptions and methods used
(3 pts)
Somewhat describes assumptions and methods used
(7 pts)
Substantially describes assumptions and methods used
(8 pts)
Effectively describes
Nova Southeastern University
Assignment for Course: QNT5040 – Business Modeling
Submitted to:
Submitted by: BASS
Date of Submission:
Title of Assignment: Electric Fan Case - Forecasting
CERTIFICATION OF AUTHORSHIP: We certify that we the authors of this paper. Any assistance we received in its preparation is fully acknowledged and disclosed in the paper. We have also cited any sources from which we used data, ideas or words, either quoted directly or paraphrased. We also certify that this paper was prepared by us specifically for this course.
Student’s Signature: BASS
Instructor’s Grade on Assignment:
Instructor’s Comments:
TITLE OF RUBRIC: Case Analysis (Page 1 of 2)
Course: QNT 5040
LEARNING OUTCOME/S: (see syllabus)
Date:
PURPOSE: To facilitate effective decision making under uncertain conditions by quantifying risk.
Name of Student:
VALIDITY: Best practices in Monte Carlo simulation.
Name of Faculty:
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.
>
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
(5 pts)
Identifies some elements of the problem.
(10 pts)
Substantially
identifies the problem.
(12 pt)
Effectively and succinctly identifies the problem.
(15 pts)
Describes assumptions and methods
Does not describe assumptions and methods used
(0 pts)
Does not precisely describe the assumptions and methods used
(3 pts)
Somewhat describes assumptions and methods used
(7 pts)
Substantially describes assumptions and methods used
(8 pts)
Effectively describes
References: Sridharan,L. (2009). The Electric Fan Industry. IBS Case Development Centre Microsoft Office Excel. (2007). Redmond, WA: Microsoft Corporation. Appendix Spreadsheet