Data Driven Decision Making 100% rule

Data Driven Decision Making 100% rule

The 100% rule is used in decision modeling to determine whether or not a change in project constraints or variables will affect the outcome of a decision. Under the 100% rule, any combination changes can occur without a change in the solution, as long as the total percentage deviation from the coordinate extremes does not exceed 100%.

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Large companies are constantly making changes to projects and frequently use the 100% rule to compare simultaneous changes and how they will impact the bottom line. Now, take into account a small company with less than 50 employees, and describe how a smaller organization could benefit from utilizing the 100% rule.

• Describe how a smaller company could benefit from utilizing the 100% rule.
• In your opinion, would it be effective for smaller organizations to utilize this rule?
• Can the coefficient of a decision making variable change while the optimal point remains the same?
• Does the feasible region change?
• Can RHS value of a constraint be changed?
• Does the feasible region change?
• Can OFC values be changed?