Description
The purpose of the present study is to examine how the Sales and Operation Plan (S&OP) process can be improved in the manufacturing industry by using a cost model to evaluate changes in the manufacturing forecast in addition to reviewing past financial performance. The additional use of a cost model transitions form using a standard traditional S&OP process to dynamic modeling and scenario analysis that may lead to different decisions being made. The manufacturing company S&OP processes in scope of this project is suspected to not be using a cost model when making financial decisions but rather the traditional S&OP process. They do not have a rolling budget in place, but rather a static budget also known as an Annual Operating Plan.
Details
Title
- Improving Forecasting Accuracy in the Manufacturing Business Cycle
Contributors
- Seiki, Kaila (Author)
- Licon, Wendell (Thesis director)
- Garverick, Michael (Committee member)
- Department of Finance (Contributor)
- Department of Information Systems (Contributor, Contributor)
- Barrett, The Honors College (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2018-12
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