The Management Science Approach Communication of Results Report Writing

Post-Solution Phase Once a model has been solved to the modeler’s satisfaction: –Generate business memos/reports/(PowerPoint) presentation –Monitor progress of implementation

Steps in Preparing Presentations 1.Introduction –State exactly what the problem is that is addressed in the report/presentation; briefly give an overview of decision variables, objective and constraints. 2.Assumptions/Approximations –All models are replete with numerous assumptions and approximations; briefly state the most important or relevant ones. 3.Solution Approach/Software –Indicate the general model form and the software used; this indicates the amount of “computer programming” done by the user. All of the above should take 1- 2 pages.

Preparing Presentations (cont’d) 4.Analysis of Model Results –This is the meat of the report; it should be well-written with no grammatical errors or misspellings. –Write if for your audience –Make liberal use of charts, graphs, and tables. clearconcise –Be clear and concise. –Avoid using Technical terms Mathematical notation Using x’s and y’s in the body of the report Writing in the first person –If you must use first person, use “we” not “I”

Preparing Presentations (cont’d) 5.“What-If” Analyses –Picture yourself as the recipient of the report and try to anticipate what questions would be asked and address them in the report. –Analyze possible scenarios that could occur and be prepared to discuss why they might happen and what the recommendation would be if they did. 6.Overall Recommendation –Consider the direct the analysis of the basic problem (Step 4) and the “what-if” analyses (Step 5) and make and justify an overall recommendation. –Suggest opportunities for future research or analyses. 7.Appendices –Include any relevant, appropriate supporting material for recommendations – models, printouts, etc.

Monitoring of Results After a form of the model has been implemented, if you continue to be involved with the problem: –Constantly check that the assumptions upon which the model is based continue to hold. –Experiment with “extreme values” if possible to check if model gives expected results. –Do not let the model override “common sense”. –Do not feel you must “stay the course” – make model changes as needed.

Review After a model has been solved results must be prepared for the next “person up the chain”. Prepare a report that makes liberal use of graphics that is clear and concise with little technical jargon Anticipate and address “what-if” questions in the presentation If you are involved in the implementation stage, monitor assumptions and change model based on additional experience.