Forecasting Applications

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MGT-530-Mod04-CT02caseandregulations.docx

MGT-530: – Module 04/CT 02

Regulations: 

· GRADING EXPECTATIONS :

1. I recommend that you use the grading rubric to shape your work product (Attached).  

2. With respect to grading, The instructor really looks for 2 things:  citations and substance . I encourage you to include cites and information from scholarly and/or peer-reviewed sources in addition to the course text (Stevenson, W. (2018). Operations management (13th ed.). New York, NY: McGraw-Hill Irwin. ISBN-13:9781259667473)

Otherwise, my potential for points is reduced. It  indicates you have read the course materials and searched far and wide for theories, statistics, and facts to address the issue at hand. I encourage you to paraphrase these sources. Convert the content into your own words rather than using direct quotes. This improves the synthesis of information, and it makes the writing more closely resemble your own style. 

In addition to scholarly citations, a substantive assignment is one that not only answers the question but advances the discussion. Please, do more than is expected.

· The writer must apply APA style guidelines.   Avoid plagiarism

· Support your submission with:

1. Course material concepts, principles, and theories from the textbook and Use it in the references (Stevenson, W. (2018). Operations management (13th ed.). New York, NY: McGraw-Hill Irwin. ISBN-13:9781259667473)

2.  At least Four scholarly, peer-reviewed journal articles such as:

2.1 Sharma, H. K., Kumari, K., & Kar, S. (2020). A rough set approach for forecasting models. Decision Making: Applications in Management and Engineering, 3(1), 1–21.

2.2 Delli Gatti, D., & Grazzini, J. (2020). Rising to the challenge: Bayesian estimation and forecasting techniques for macroeconomic Agent Based Models. Journal of Economic Behavior and Organization, 178, 875–902. https://doi.org/10.1016/j.jebo.2020.07.023

2.3 Bourdeau, M., Zhai, X. qiang, Nefzaoui, E., Guo, X., & Chatellier, P. (2019). Modeling and forecasting building energy consumption: A review of data-driven techniques. Sustainable Cities and Society, 48. https://doi.org/10.1016/j.scs.2019.101533

· Be 5 pages in length, does not include the title page, abstract, conclusion and required reference page, which are never a part of the minimum content requirements. 

Forecasting Applications

Read through the Case Study entitled “Highline Financial Services, Ltd.” in Chapter 3 of your textbook (Attached). Examine the historical trends this company has experienced for the three products (A, B, C) discussed over the 2 years shown.

Address the following requirements:

· Prepare demand forecasts for the next four quarters for all three products, describe the forecasting method you chose and explain why that forecasting method is best suited to the scenario.

· Explain why you did, or did not, choose the same forecasting method for each product.

· What are the benefits of using a formalized approach to forecasting these products?

Thank you for your support

MGT

-

5

30

:

Module 0

4

/CT 0

2

Regulations

:

·

GRADING EXPECTATIONS

 

:

1.

I recommend that you use the grading rubric to shape your work product (

Attached

).

  

2.

With respect to

 

grading, The instructor really looks for 2 things:

 

citations

 

and substance

. I

encourage you to include cites and information from

 

scholarly and/or peer

-

re

viewed sources in

addition to the course text

(

Stevenson

, W. (2018). Operations management (13th ed.). New

York, NY: McGraw

-

Hill Irwin. ISBN

-

13:9781259667473)

Otherwise

, my potential for points is reduced. It

 

indicates you have read the course materials

and searched far and wide for theories, statistics, and facts

 

to address the issue at hand.

 

I encourage

you to paraphrase these sources. Convert the content into your own words rather than using direct

quotes

. This improves the synthesis of information, a

nd it makes the writing more closely resemble

your own style.

 

In addition to

 

scholarly citations, a substantive assignment is one that not only answers the

question but advances the discussion. Please, do more than is expected.

·

The writer must apply

AP

A style guidelines

.

Avoid plagiarism

·

Support your submission with:

1.

Course material concepts, principles, and theories from the textbook and

Use

it in the

references

(Stevenson, W. (2018). Operations management (13th ed.). New York, NY:

McGraw

-

Hill Irwin.

ISBN

-

13:9781259667473)

2.

 

At least

Four

scholarly, peer

-

reviewed journal articles such as:

2.1

Sharma, H. K., Kumari, K., & Kar, S. (2020).

A rough set approach for

forecasting

models

.

Decision Making: Applications in Management and Engineering,

3(1), 1

21.

2.2

Delli Gatti, D., & Grazzini, J. (2020). Rising to the challenge: Bayesian estimation and

forecasting techniques for macroeconomic Agent Based Models.

Journal of

Economic

Behavior and Organization,

178, 875

902.

https://doi.org/10.1016/j.jebo.2020.07.023

2.3

Bourdeau, M., Zhai, X. qiang, Nefzaoui, E., Guo, X., & Chatellier, P. (2019). Modeling

and

forecasting building energy consumption: A review of data

-

driven

techniques.

Sustainable Cities and Society,

48.

https://doi.org/10.1016/j.scs.2019.101533

·

Be

5

pages

in length,

does not include

the title

page, abstract, conclusion and required

reference page,

which are never a part of the minimum content requirements.

MGT-530: – Module 04/CT 02

Regulations:

 GRADING EXPECTATIONS :

1. I recommend that you use the grading rubric to shape your work product (Attached).  

2. With respect to grading, The instructor really looks for 2 things: citations and substance. I

encourage you to include cites and information from scholarly and/or peer-reviewed sources in

addition to the course text (Stevenson, W. (2018). Operations management (13th ed.). New

York, NY: McGraw-Hill Irwin. ISBN-13:9781259667473)

Otherwise, my potential for points is reduced. It  indicates you have read the course materials

and searched far and wide for theories, statistics, and facts to address the issue at hand. I encourage

you to paraphrase these sources. Convert the content into your own words rather than using direct

quotes. This improves the synthesis of information, and it makes the writing more closely resemble

your own style. 

In addition to scholarly citations, a substantive assignment is one that not only answers the

question but advances the discussion. Please, do more than is expected.

 The writer must apply APA style guidelines. Avoid plagiarism

 Support your submission with:

1. Course material concepts, principles, and theories from the textbook and Use it in the

references (Stevenson, W. (2018). Operations management (13th ed.). New York, NY:

McGraw-Hill Irwin. ISBN-13:9781259667473)

2.  At least Four scholarly, peer-reviewed journal articles such as:

2.1 Sharma, H. K., Kumari, K., & Kar, S. (2020). A rough set approach for forecasting

models. Decision Making: Applications in Management and Engineering, 3(1), 1–21.

2.2 Delli Gatti, D., & Grazzini, J. (2020). Rising to the challenge: Bayesian estimation and

forecasting techniques for macroeconomic Agent Based Models. Journal of Economic

Behavior and Organization, 178, 875–902. https://doi.org/10.1016/j.jebo.2020.07.023

2.3 Bourdeau, M., Zhai, X. qiang, Nefzaoui, E., Guo, X., & Chatellier, P. (2019). Modeling

and forecasting building energy consumption: A review of data-driven

techniques. Sustainable Cities and Society, 48. https://doi.org/10.1016/j.scs.2019.101533

 Be 5 pages in length, does not include the title page, abstract, conclusion and required

reference page, which are never a part of the minimum content requirements.