SMG OM 441 Study Guide - Midterm Guide: Manufacturing Execution System, Dependent And Independent Variables, Granularity

• School: Boston University
• Department: Operations & Technology Management
• Course: SMG OM 441
• Professor: All

Document Summary

Model overview: models solve a problem, abstract reality to something that can be solved, default there"s a model for that , transform into a problem statement, good models: 2 outcomes for something -- both outcomes are reasonable. Elements of a model: decision variables: steering wheel of a car -- variables we have control over that affect our solution, parameters: inputs of the model-data -- just there, reflect reality of operating environment. Intermediate variable: functions of decision variables and parameter -- not needed of optimization but needed in absolute (necessary for model results: constraints: limit decisions and intermediate variables -- no full freedom -- all have. They should be the building blocks that are used with the other models. Scope and granularity: scope: where a model begins and ends, granularity: the level of detail employed in the model"s representation of reality, you want the smallest scope possible and the least granularity possible, one model cannot do everything!