Model Troubleshooting and Sensitivity Analysis

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What is a common issue when modeling service levels with constraints?

Having too few constraints

Achieving overly efficient solutions

Encountering infeasible models (correct)

Ignoring data validity

Why is it important to analyze individual constraints when troubleshooting infeasible models?

To speed up the modeling process

To identify conflicting or overly restrictive constraints (correct)

To increase the complexity of the model

To ignore logical inconsistencies

What should be done if a maximum distance constraint for all customers conflicts with maximizing demand within a specific distance?

Increase the specified distance for all customers

Ignore the conflict and proceed with modeling

Maximize the average distance instead

Relax the maximum distance constraint (correct)

How can errors in distances, demand locations, or parameters affect model feasibility?

Result in infeasibility Signup and view all the answers

What strategy can be employed if specific objectives significantly contribute to infeasibility in optimization models?

Adjust the weights of the objectives Signup and view all the answers

What is one way to provide the model with more flexibility to find feasible solutions while potentially impacting service levels slightly?

Adjusting service level thresholds Signup and view all the answers

How can customizing distance constraints for different customer subsets help in optimization modeling?

It allows for more flexibility and potentially avoids infeasibility Signup and view all the answers

Which solver feature can help in identifying minimal sets of constraint relaxations needed to achieve feasibility?

Feasibility analysis tools like 'FeasOpt' Signup and view all the answers

What is a recommended step if the above approaches of model refinement fail in optimization modeling?

Considering expert advice from optimization specialists Signup and view all the answers

In optimization modeling, what is crucial when balancing service level objectives and feasibility constraints?

Finding the optimal balance between the two Signup and view all the answers

What is the main focus when designing a delivery network for pizzas in the given scenario?

Maximizing efficiency by delivering pizzas quickly Signup and view all the answers

Which type of constraint helps prevent outliers from significantly affecting the average distance in a service level optimization model?

Maximum Average Distance Constraints Signup and view all the answers

How does a scenario focusing on reach differ from one focusing on efficiency in supply chain optimization?

It prioritizes the percentage of customers reached within a certain distance Signup and view all the answers

In service level optimization, what do Maximum Distance Constraints directly limit?

The maximum allowable distance for individual customer-facility pairings Signup and view all the answers

What aspect of service level optimization do Maximum Distance Constraints per customer subsets provide tighter control on?

The maximum allowable distance for specific customer-facility pairings Signup and view all the answers

What is the purpose of sensitivity analysis in supply chain decision-making?

To address uncertainties in input data and understand the robustness of solutions Signup and view all the answers

In which scenario should sensitivity analysis be used according to the text?

When forecasting demand or costs for the future Signup and view all the answers

What valuable insight does sensitivity analysis provide to supply chain decision-makers?

Which factors are most important for monitoring Signup and view all the answers

How does sensitivity analysis contribute to understanding the robustness of optimization results?

By understanding how solutions can vary under changes Signup and view all the answers

Why is it important for supply chain decisions to have confidence in the robustness of solutions?

To guarantee that changes in input data have minimal impact on outcomes Signup and view all the answers