Location Planning

Location problems: Centre of Gravity, Median Method and Factor Rating — from load–distance optimisation to weighted multi-factor scoring of candidate locations.

Problem 1 · Centre of Gravity — locating a new plant

Location Planning

A company must locate a new plant to serve a set of existing facilities — suppliers that ship raw material in, and markets that receive finished goods. Each facility sits at map coordinates (x, y) and moves a known volume of goods per period at a known transport rate per unit of distance.

The Centre of Gravity method places the plant at the load-weighted average of the facility coordinates, minimising the total load–distance cost of moving goods to and from the plant:

x̄ = Σ (Vᵢ · Rᵢ · xᵢ) / Σ (Vᵢ · Rᵢ)

ȳ = Σ (Vᵢ · Rᵢ · yᵢ) / Σ (Vᵢ · Rᵢ)

Total cost = Σ Vᵢ · Rᵢ · dᵢ,   dᵢ = √((x̄ − xᵢ)² + (ȳ − yᵢ)²)

Your task: enter the facilities below — coordinates, volumes and rates — and read off the optimal plant location and its total period cost. Add or remove facilities to see how the answer moves.

Facilities

Edit any value inline. Volume is the load moved per period; rate is the transport cost per unit load per unit distance.

FacilityxyVolume VRate RWeight V·R
2,000
1,500
3,000
3,600

Optimal plant location

x̄

52.97

ȳ

44.65

Total cost / period

351,659

FacilityWeight V·RDistance dᵢCost V·R·dᵢ
Supplier A2,00048.3496,673
Supplier B1,50044.8767,310
Market C3,00033.70101,088
Market D3,60024.0586,587

Map

Circles are facilities (area ∝ weight); the cross is the optimal plant location.

Supplier A(20, 80)Supplier B(90, 70)Market C(30, 20)Market D(75, 35)New plant (53.0, 44.7)

What are we learning?

  • The centre of gravity is a load-weighted average — high-volume or high-rate facilities pull the optimal location toward them.
  • Doubling every rate (or every volume) leaves the location unchanged but doubles the cost: location depends on relative weights only.
  • The method assumes straight-line (Euclidean) distance and a single plant; it is a starting point for location decisions, refined later with factor rating or break-even analysis.

Try this: add a very large market far to one corner and watch the optimal plant slide toward it. Then set its rate to zero — the pull disappears entirely.