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Production Sequencing

Optimized production with intelligence

Pyplan Production Sequencing uses advanced algorithms to program and optimize production capacity in detail, considering constraints, priorities and costs.

More efficiency, less waste.

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Greater programming efficiency

The order sequence is optimized considering capacities, set-up times and business priorities.

Reducing bottlenecks

Limitations related to machines, shifts or availability of inputs are detected and corrected.

Simulation of production scenarios

Sequence alternatives, shift changes, or outsourcing schemes are evaluated to enable more agile decisions.

Better use of productive assets

Productivity is increased and the useful life of equipment is extended by minimizing idle time.

Connection between planning and execution

Strategic decisions are converted into concrete operational plans within the plant, reducing deviations.

Main Features

Optimization algorithms and advanced simulation

They generate optimal production sequences based on constraints and priorities.

Plant capacity and load dashboards

They show the use of lines, machines and personnel in real time.

Detailed analysis of production restrictions

It identifies limitations in materials, human resources and equipment.

Simulation of alternative scenarios

It allows you to model different production plans, additional shifts or outsourcing.

Discover the supply chain and financial planning platform

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They trust Pyplan

Coty redefines its planning: from fragmented processes to decisions with real business impact

Coty transformed its S&OP by integrating demand, supply and finance into a single model, improving decisions and efficiency.

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When financial complexity requires another level: EDP Brasil redefines its FP&A with Pyplan

EDP Brasil transformed its financial planning by integrating projection, consolidation and scenarios into a single intelligent model.

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From complexity to total control: Coca-Cola Andina redefines its planning with Pyplan

Coca-Cola Andina transformed its financial planning by integrating data, scenarios and decisions into a single intelligent model.

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When planning ceases to be a risk and redefines InterCement's performance

InterCement transformed its S&OP with Pyplan, integrating demand, supply and costs to decide with greater precision and profitability.

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Planning under strict rules without losing agility: the new ENEL model

ENEL unified regulated margin planning, integrating data, scenarios and decisions into a single collaborative model.

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Resources

Article

Agentic AI in planning: separating the hype from the product

The 2026 tariff volatility requires replanning in days, not months. What capabilities do Supply Chain and Finance need to avoid being exposed?

Webinar

New Skills for the Demand Planner of the Future

The skills demand planners need as AI reshapes planning: more judgment, sharper analysis and better decisions.

Article

Demand Sensing: Process, Solutions and CPG Examples

What demand sensing is, the 5-step process, how to choose demand sensing software and how CPG companies use it to cut short-term forecast error.

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