Batch production is a production method where goods are made in discrete runs (batches) rather than in a one-off custom job or a continuous flow. It often makes sense when there are meaningful setup/changeover costs and demand is moderate or variable.
The economic trade-off
Batch production is usually about balancing:
- setup (changeover) costs: time and expense to switch a line from one product/run to another,
- inventory and responsiveness: larger batches mean fewer setups but more inventory and slower response to demand changes.
In other words, batch size affects average cost.
A simple model (setup vs holding)
A standard back-of-the-envelope framework uses:
- (D): demand per period
- (Q): batch size
- (S): setup cost per batch
- (h): holding cost per unit per period
If you produce (D) units per period in batches of size (Q), you run (D/Q) batches, so setup cost per period is (S,D/Q).
If production fills inventory and then inventory is drawn down, average inventory is roughly (Q/2), so holding cost per period is (h,Q/2).
Total relevant cost per period (ignoring constant per-unit production cost) is:
[ \text{Cost}(Q) \approx S\frac{D}{Q} + h\frac{Q}{2}. ]
Minimizing this gives the classic economic order quantity (EOQ) rule:
[ Q^* = \sqrt{\frac{2SD}{h}}. ]
The formula is not “the truth,” but it captures the core logic: higher setup costs push batch size up; higher holding costs push it down.
Practical example
A bakery makes bread in morning batches. Switching from multigrain to rye requires cleaning and reconfiguring equipment (setup cost). Larger batches reduce cleaning frequency but raise the risk of unsold inventory if demand shifts.
Related Terms
- Assembly Line
- Mass Production
- Just-in-Time
- Economies of Scale
- Economies of Scope
- Fixed Cost
- Marginal Cost