How would you design the traceability accounting of batches in PostgreSQL?
sobes.tech AI
Answer from AI
To track traceability of batches in PostgreSQL, you can design a structure that allows tracking the origin, movements, and changes of batches at all stages.
Main points:
-
Batches table — stores unique batch identifiers, their characteristics (e.g., production date, raw materials, quantity).
-
Batch movements table — records all events with batches: movements, transformations, disposals. Each record contains a reference to the batch, type of operation, date, quantity, and other parameters.
-
Batch relations table — if batches can be split or merged, a table reflecting the familial relationships between batches (e.g., original batches and those derived from them) is needed.
Example of a simplified schema:
CREATE TABLE batches (
batch_id SERIAL PRIMARY KEY,
batch_code VARCHAR UNIQUE,
production_date DATE,
raw_material VARCHAR,
quantity NUMERIC
);
CREATE TABLE batch_movements (
movement_id SERIAL PRIMARY KEY,
batch_id INT REFERENCES batches(batch_id),
movement_type VARCHAR, -- e.g., 'movement', 'packaging'
movement_date TIMESTAMP,
quantity NUMERIC,
location VARCHAR
);
CREATE TABLE batch_relations (
parent_batch_id INT REFERENCES batches(batch_id),
child_batch_id INT REFERENCES batches(batch_id),
PRIMARY KEY (parent_batch_id, child_batch_id)
);
This approach will allow:
- Tracking the history of each batch.
- Understanding the origin and subsequent use of raw materials.
- Analyzing supply and production chains.
For complex scenarios, you can add batch versions, statuses, integration with quality systems, etc.