Need A Help On Project About Integer Programming Assignment Help

Deliverables

Individual report for Unit 2 submission.

You submit via BB/Turnitin a typewritten report, which must demonstrate an in depth understanding of the topic. The report should be original (no plagiarism) and neither exceed 3000 words nor 9 sides of A4, including tables and figures in text, and references but excluding appendices. This paper should include a more detailed description of the goals of the project and what was accomplished. It can also include comments on efforts that did not produce the intended results. It should conclude with ways in which the project could have been enhanced if there was more time and if data were more easily available. The write-up may include charts, small tables, and graphs. Large tables, copies of any spread sheets, and any other model analysis may be included as desired, but as an appendix.

You should also include a half-page to one-page description of one or two mistakes that you learned from when carrying out the project. Ideally, the mistake(s) that you learned from should have longer-term implications for yourself (e.g., learning about how to write a useful model, or what kind of data is useful, or what kind of data is

available, or how hard it is to develop a new solution technique, or the time it takes to accomplish certain types of tasks).

And finally, please send a single ZIP file containing all the data and models developed to your lecturer by email.

Solver is limited to 200 decision variables for all models, and it is limited to 100 constraints for nonlinear models. While many successful projects will be possible with these limits, other projects will need software capable of solving much larger optimisation problems. There are also tools that permit upfront programming or scripting to formulate the model. You are encouraged to learn and use other tools (such as OpenSolver, CPLEX, AMPL®, MATLAB™, open source solvers in common programming languages, etc).

 School bus scheduling

 Exam scheduling at University of Westminster

 Home healthcare workforce scheduling

 Portfolio optimisation

 Optimal location of cell phone towers

 Optimal strategies for sports teams

 Optimal allocation of wind turbines

 Optimal inventory control

 Optimal truck routing

 For more idea of topics, please check http://people.brunel.ac.uk/~mastjjb/jeb/info.html