Applies to DecisioWorks v1.4.0

What Is DecisioWorks

DecisioWorks is a production decision capability toolkit covering the path from data ingestion and business representation to objectives, rules, solving, interpretation, and feedback.

Core capabilities

• Standardized data interfaces turn orders, products, materials, routes, resources, calendars, inventory, and kitting relationships into computable inputs.
• Decision governance makes delivery, load, inventory, waiting, changeover, stability, and risk preferences configurable and auditable.
• Standard actions and orchestration compose ingestion, validation, construction, solving, selection, evaluation, and output into reusable flows.
• Model and optimization capabilities produce high-quality plans within explicit data, constraints, objectives, and rules.
• Interpretation and feedback translate outputs into business evidence and signals for the next decision cycle.

Manufacturers and ecosystem partners can use these reusable foundations to build scenario solutions, applications, and long-term capability growth.

The core problem it addresses

DecisioWorks addresses the often-underestimated distance between a plan and a production decision. It brings business facts into the model, applies management intent to solving, supports result drill-down, and sends operating deviations into the next cycle.

Product positioning

It is both a foundational production-decision toolkit and an ecosystem capability node. Manufacturers can accumulate their own decision models; software and consulting partners can reuse data interfaces, standard actions, model adapters, and analysis capabilities; AI Agents can invoke industrial decision capabilities through explicit actions and parameters.

Differentiated value

• starts with computable business semantics, not just data transfer;
• connects good plans with good decisions, not just solver invocation;
• governs reusable objectives, site rules, and structural constraints separately;
• produces a result table together with explanations, evidence, and feedback;
• lets data, rules, orchestration, models, and interfaces evolve independently.

See Scenarios and Pain Points and Design Principles and Differentiation.