Difficulty: Easy
Correct Answer: constraints
Explanation:
Introduction / Context:
In decision models and Management Information Systems (MIS), we separate controllable choices from non-negotiable boundaries. These boundaries—such as budgets, machine capacities, regulatory requirements, and deadlines—shape what solutions are feasible. Using the correct term matters for formulating linear programs, dashboards, and what-if analyses.
Given Data / Assumptions:
Concept / Approach:
Constraints are mathematical or policy restrictions that candidate solutions must satisfy. In linear programming, they appear as equalities or inequalities; in policy contexts, they are business rules enforced by the system. By contrast, parameters are numerical inputs to a model (e.g., demand, cost coefficients), and constructs are conceptual variables in research design, not operational limits. “Perimeters” are physical boundaries, not modeling restrictions.
Step-by-Step Solution:
Verification / Alternative check:
Any optimization model shows decision variables bounded by constraints; removing a constraint enlarges the feasible region, confirming the role.
Why Other Options Are Wrong:
Common Pitfalls:
Confusing parameters with constraints; failing to encode a business rule as a formal constraint, leading to infeasible recommendations later.
Final Answer:
constraints
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