Abstract
Mathematical optimization is a collection of techniques for finding the highest ground in a well-defined region. There are a number of good computer systems available for linear programming, as well as integer, mixed-integer, and nonlinear programming. Furthermore, there are simulation languages which allow the user to search a region for near-optimal solutions. Although these techniques are valuable, I feel that no matter how interesting they prove to be, they are less important than techniques for defining the regions of interest. By techniques of definition, I mean those techniques such as writing scenarios, “brain-storming,” or decision theory, which encourage the problem solver to provide the decision maker with alternative solutions rather than a simple optimal solution. Because of their importance to management, I feel that they deserve a great deal more attention than they have gotten.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.