Quintiq Production Planning Software
Advanced planning and scheduling (APS) software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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- Manufacturing
- Energy and utilities
- Transportation and logistics
What is Quintiq Production Planning Software
Quintiq Production Planning Software is an advanced planning and scheduling (APS) platform used to model, optimize, and execute production and supply chain plans under complex constraints. It is typically used by manufacturers and supply chain planners to create feasible schedules, allocate resources, and run scenario analyses across plants, lines, and distribution networks. The product is known for its configurable optimization and modeling approach, which supports industry-specific constraints and custom planning logic. Quintiq is part of Dassault Systèmes’ DELMIA portfolio and is often deployed alongside broader manufacturing and operations systems.
Constraint-based optimization engine
The product supports advanced constraint modeling and optimization for production scheduling and planning problems that exceed basic finite scheduling. It can incorporate complex rules such as sequence-dependent changeovers, labor/skill constraints, multi-stage routing, and material availability. This makes it suitable for environments where spreadsheet-based or simpler scheduling tools struggle to produce feasible plans. It also supports what-if analysis to compare alternative schedules and policies.
Highly configurable planning models
Quintiq is designed to be configured to match specific operational processes rather than forcing a fixed planning template. Organizations can model unique business rules, KPIs, and objective functions to reflect how they actually plan and execute. This flexibility can be valuable for multi-site operations and industries with specialized constraints. It also enables tailoring of user workflows and decision support outputs to different planner roles.
Enterprise integration capabilities
The product is commonly implemented as part of an enterprise architecture that integrates with ERP, MES, and data sources for orders, inventory, routings, and capacities. This supports closed-loop planning where schedules can be updated based on execution feedback and changing demand/supply signals. Integration patterns and APIs are typically used to connect planning outputs to downstream execution processes. This is important for organizations that need APS to coexist with established transactional systems.
Implementation complexity and effort
Because the solution is highly configurable, implementations can require significant design, data preparation, and iterative model tuning. Projects often involve specialized skills in optimization modeling and deep process mapping to achieve expected results. This can increase time-to-value compared with more prescriptive scheduling tools. Ongoing changes to constraints or objectives may also require expert support.
Higher total cost of ownership
Enterprise APS deployments can involve substantial licensing, integration, and services costs, particularly when multiple sites and complex models are in scope. Additional costs may arise from infrastructure, performance tuning, and dedicated support resources. For smaller manufacturers with simpler scheduling needs, the cost profile may be difficult to justify. Budgeting typically needs to account for continuous improvement and model maintenance.
Data quality dependency
Schedule feasibility and optimization quality depend heavily on accurate master data (routings, capacities, calendars, setup times) and timely transactional data (orders, inventory, WIP). If upstream systems contain gaps or inconsistent definitions, the APS model can produce plans that require manual correction. Establishing governance for planning data is often a prerequisite for success. Organizations may need to invest in data cleansing and process standardization before benefits materialize.
Seller details
Dassault Systèmes SE
Vélizy-Villacoublay, France
1981
Public
https://www.3ds.com/
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