Producer#

class bamengine.roles.producer.Producer(production, production_prev, inventory, expected_demand, desired_production, labor_productivity, breakeven_price, price, prod_shock=None, prod_mask_up=None, prod_mask_dn=None, price_shock=None)[source]#

Bases: Role

Producer role for firms.

Represents the production and pricing state for firms. Each array index corresponds to a firm ID (0 to n_firms-1).

Parameters:

production (Float1D) – Current period’s production level (units of goods produced this period). Set by firms_run_production event, zeroed at start of planning phase.
production_prev (Float1D) – Previous period’s production level, used as planning signal. Set by firms_run_production alongside production, retained across the planning phase for use in firms_decide_desired_production.
inventory (Float1D) – Unsold goods from previous periods.
expected_demand (Float1D) – Expected demand based on past sales history.
desired_production (Float1D) – Target production level for next period (based on expected demand).
labor_productivity (Float1D) – Units of output per worker.
breakeven_price (Float1D) – Minimum price needed to cover wage costs.
price (Float1D) – Current selling price for goods.
prod_shock (Float1D, optional) – Scratch buffer for production shock calculations (not persisted).
prod_mask_up (Bool1D, optional) – Scratch buffer for upward production adjustment mask (not persisted).
prod_mask_dn (Bool1D, optional) – Scratch buffer for downward production adjustment mask (not persisted).
price_shock (Float1D, optional) – Scratch buffer for price shock calculations (not persisted).

Examples

Access from simulation:

>>> import bamengine as bam
>>> sim = bam.Simulation.init(n_firms=100, seed=42)
>>> prod = sim.prod
>>> prod.price.shape
(100,)
>>> prod.production.mean()
52.5

Check which firms have inventory:

>>> import numpy as np
>>> has_inventory = prod.inventory > 0
>>> has_inventory.sum()
15

Find firms with high productivity:

>>> high_prod_mask = prod.labor_productivity > 2.0
>>> high_prod_ids = np.where(high_prod_mask)[0]
>>> high_prod_ids.shape
(45,)

Notes

The Producer role is one of three roles assigned to firms in the BAM model:

Producer: production and pricing
Employer: labor hiring and wages (see Employer)
Borrower: finance and credit (see Borrower)

These roles share some arrays (e.g., wage_bill) for memory efficiency.

Producer#

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