Chemical Manufacturing Business Information Model

For chemical manufacturers, this business information model defines the data entities behind formulation, production, and compliance — the formulas, batches, materials, and regulatory records that plant, quality, and compliance teams all draw from. Entities fall into foundational (reference and master data), transactional (production and supply chain activity), and informational (quality, compliance, and yield) categories, with the relationships between them mapped out. Delivered as an editable Word document.

Why Formula-Based Manufacturing Breaks Generic Models

Chemical manufacturing runs on formulas, not bills of materials — ingredients combine by ratio or percentage, yield varies by batch, and a single process order can produce multiple co-products and by-products at once, none of which fits a discrete-manufacturing model built around fixed quantities and one output per order. Batch genealogy has to trace which specific lots of raw material went into which batch and, from there, into which finished-goods lot — a many-to-many lineage relationship, not a simple parent-child link, and one that regulatory recalls depend on getting right. A single substance can carry multiple identifiers — internal material code, CAS number, UN number — and multiple hazard classifications depending on concentration or the mixture it's part of, so "Material" can't be modeled as one flat entity with one classification. Specifications often exist at two layers, a standard grade spec and customer-specific variants of it, which a generic "Product" entity has no room for.

What You Get

• Foundational entities — substances, materials, specifications, formulas, plants, equipment
• Transactional entities — process orders, batches, purchase orders, shipments, quality inspections
• Informational entities — batch genealogy, yield and by-product records, regulatory and hazard classifications
• Entity relationships linking formulas, batches, and regulatory data across the production lifecycle
• Editable Word format — adapt entities to your own MES, ERP, or LIMS data model

Where This Gets Used

• Scope master data management for substances, materials, and specifications
• Align data architecture across formulation, production (MES/ERP), and quality systems
• Support batch genealogy and traceability requirements for regulatory reporting and recalls
• Define integration contracts between plant systems and regulatory/hazard compliance data

Designed For

For data architects, business architects, and IT leaders at chemical manufacturers who need formula-based production and regulatory data modeled on its own terms, not forced into a generic manufacturing template.