MPL Model Library (Cases)
The MPL Model Library is divided into three sections:
- The MPL Model Library (Cases), on this page, contains several model formulation cases
with data sets based on real world problems that can be used as another source of homework
assignments. These cases are larger and more difficult models than the examples and problems
available in the other sections. If you are a teacher and would like to receive these model
formulations please fill out the Request for Model Library Form.
Below you will find a list of the model cases that are currently available.
- The MPL Model Library (Examples) contains examples of various model
formulations from popular LP textbooks available to view and examine from our web site.
Most of these examples are fairly small, but they are formulated in such a way that
they expose the students to the general features of a modeling language.
- The MPL Model Library (Problems) contains formulations of
problems from popular LP textbooks that can be used as exercises in teacher's lesson plans
and class assignments. Most of these problems are fairly small, but they can still be used
to expose the students to the general features of a modeling language. These formulations
are not available on our web site in order to allow teachers to give out the problems as
assignments.
Do you have a model case you would want to submit to the MPL Case Library?
The cases listed below were provided to us by various professors and teachers at well known universities.
We are in the process of aquiring more cases to add to our library. If you have any
cases or homework assignments that you would like to submit to be added to our collection
we would appreciate your input. What we would need is a description of the problem for
the students with the accompanying data and a sample formulation of the model. We will then
publish your problem on our web site with appropriate credit given to you and your university.
This case is to determine the optimal daily operating policy for a sawmill and chipboard
plant. The model is fairly small with about 20 to 30 variables and constraints but will
provide an opportunity to practice on formulating a planning problem.
This case is to determine a production schedule for the workers of the Lighting Post manufacturing
company that will enable them to meet the orders for their products.
This case is about Midwest Grain Elevator that performs storage and handling services for buyers and
sellers of grain. The objective is to determine the blending of corn to different grades to satisfy demands.
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