Free Online Flashcard Deck

5 Optimization Basics for Supply Chains Free Online FlashCards

Study 5 Optimization Basics for Supply Chains with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What is optimization?

Back

Optimization systematically selects decisions that best meet a defined goal while respecting limits.

02
Front

What do decision variables represent?

Back

Decision variables represent choices the model can make, such as how many units to ship from each warehouse to each store.

03
Front

When is an optimization solution feasible?

Back

A solution is feasible if it satisfies every constraint in the model.

04
Front

What defines a linear program?

Back

A linear program has a linear objective and linear constraints, with continuous decision variables.

05
Front

What shipment plan achieves the example's minimum cost?

Back

The minimum-cost plan ships 20 units from Supplier 1 to Center A, 20 from Supplier 1 to Center B, and 30 from Supplier 2 to Center B; its cost is $150\$150.

06
Front

How should a model express demand that must be met exactly?

Back

If demand must be met exactly, model it with an equality constraint, such as x1A+x2A=20x_{1A}+x_{2A}=20 for Center A.

07
Front

What unit check helps prevent a poorly formulated model?

Back

Check that every decision variable has a clear unit and that each cost or capacity uses a compatible unit.

08
Front

What proportional and additive assumptions does basic LP make?

Back

Basic LP assumes proportional, additive relationships: doubling shipment on a route doubles its modeled cost, and total cost sums route costs.

09
Front

Why might basic LP be unsuitable for whole-truckload decisions?

Back

Basic LP allows fractional quantities unless integrality is specified, so it suits divisible flows but may not suit whole-truckload decisions.

10
Front

When might an integer or mixed-integer model be needed?

Back

Integer or mixed-integer models use integer or binary variables for choices such as opening a warehouse, selecting a carrier, or dispatching whole truckloads.

11
Front

How should teams handle uncertainty in optimization inputs?

Back

Validate the recommended plan, test how it changes under different assumptions, and account for service and risk—not just the numerical objective.

12
Front

What does an objective function do?

Back

An objective function measures the goal to minimize or maximize, such as total cost, delivery time, or profit.