Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-08T05:14:35.157Z Has data issue: false hasContentIssue false
This chapter is part of a book that is no longer available to purchase from Cambridge Core

William D. Hammers

William D. Hammers
Affiliation:
Optimal Solutions
Get access

Summary

I am the President of Optimal Solutions, a company I formed in 1995 to provide consulting services for business and education. Located in Clearwater, Kansas, the company helps “organizations make informed strategic decisions and develops software products applying analysis techniques to business problems. The tools of decision support include computers, mathematical modeling and artificial intelligence.”

Prior to going with Optimal Solutions, I was a senior program manager in Operations with Cessna Aircraft Company, working with a team to solve problems associated with the manufacture of aircraft. My role was to gather data and extract information from the data for use in making informed decisions. The data mining tools I used included statistical analysis, mathematical modeling, multi-criteria decision support, neural networks, generic algorithms, and fuzzy logic along with the information presentation tools of simulation, risk analysis, and expert systems.

My work at Cessna led me to start my own company to provide decision support consulting services and my mathematics training provided the background I needed. Mathematics plays an important role in the business of manufacturing. Multiple mathematical tools are used daily to model critical business functions which support the manufacturing environment.

Two areas of artificial intelligence, expert systems and neural networks, are particularly important to my work with industry. Expert Systems provide the analyst with a new class of tools to attack problems whose solution requires intuition, judgment, and logical inferences, as well as facts. Artificial Neural Networks (ANN) also add a different dimension to the analyst's toolbox.

Type
Chapter
Information
Publisher: Mathematical Association of America
Print publication year: 2014

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×