Advanced production planner
Savings, efficiency, operational control and sustainability in production plants
The problem
- The large number of variables involved in planning the flow of operations in a production plant:
- Availability of raw material.
- Working time of the lines and maintenance periods.
- Compliance with shipping deadlines.
- Integration with the different distribution channels.
- Difficulty in solving a highly complex multi-objective problem that is usually tackled manually and not very optimized.
- The generation of a large number of operational inefficiencies:
- Resource and capacity inefficiencies, which directly impact the company’s profitability.
- Decreased customer satisfaction when orders are not delivered on time.
- Poor visibility and control over key indicators associated with the operation.
- Difficulty in adapting to unforeseen events and changes in demand, which are very frequent in this type of environment.
- Difficulty in anticipating the behavior of new operating scenarios and the pressure to make the right decisions in the face of increasingly dynamic operating conditions.
The opportunity
1
Efficiently plan production activities, with all their entities (customers, orders, materials, production resources, capacities…), all their restrictions (compatibilities, production times, cost structures…) and all the objective business criteria (profitability, service levels, etc.), applying the most innovative data science technologies in automation and process optimization.
2
Transform the way of designing, planning and performing the productive activity through the generation of metrics that allow a deep understanding of the operation.
3
Cost savings as a result of increased efficiency by optimizing resources.
What is oga.APS?
- oga.APS is a software platform for modeling, planning and optimization of production processes.
- Designed to generate efficient schedules, optimizing resources and ensuring compliance with delivery commitments.
- Integrated with ERPs and tailored to the needs of each client.
- B2B SaaS solution (subscription-based licensing model), with the highest levels of compliance and technological security.
- Based on the application of Operational Research techniques (metaheuristics, evolutionary algorithms…) for the optimization of multi-objective scenarios.
- Integrated with real operations in order to improve the tool with field data.
Business value
Cost savings from AUTOMATION
oga.APS automates the iterative processes of production planning and re-planning, reducing the time and resources invested.
Reduction of resource costs associated with the generation of schedules.
Elimination of risk associated with extreme dependency on key resources in the operational planning process.
Reduction of operational stress by generating a greater time margin between planning and execution windows.
Proactive response, with automatic replanning, to changing operating conditions (changes in demand, lack of materials, insufficient staff…).
Elastic and scalable capacity to plan for growing demands or those subject to strong dynamism.
Savings from OPTIMIZATION
Optimization of operational planning, adjusted to the characteristics of the business.
Reduction of operating costs due to changeover times, loss of raw materials and waste of resources.
Optimized assignments of production orders to different resources, according to their compatibility and availability, balancing load or working time, etc.
Optimization of rest times and planned line stops.
Reduction of penalties for non-compliance of deliveries agreed with customers.
Visibility and control
360º vision of all operational, economic and service data of the operation, enabling a new model of control, management, reporting, analysis and continuous improvement:
360º vision of all operational, economic and service data of the operation, enabling a new model of control, management, reporting, analysis and continuous improvement.
Service metrics: Level of compliance with deadlines.
Economic metrics: cost and profitability of the operation, aggregate, by product, by production line, by customer, etc.
Replanning metrics: reasons, impact, delay generated, etc.
Gantt diagrams, showing the breakdown of the planning and work queue for the different resources.
Retrospective analysis of efficiency, use of resources, line capacity, etc.
Model feedback, inference from daily real operational data that iteratively feed back to optimization models: maximum adherence to operational reality.
STRATEGIC VALUE generation
Simulation of different business scenarios that support data-driven decision making, challenge classic operational models and enable the implementation of improvements and more efficient strategies.
Integral process modeling.
Operational analysis of alternative scenarios (changes in the number of lines, cost structures, service schedules, etc.).
Optimization of resources adjacent to production, such as distribution channels or raw material storage.
Improvement of internal material flows and location of materials within the plant.
Inefficiency analysis, early identification of risks and opportunities.
Si identificas ineficiencias o puntos de mejora en la planificación de plantas productivas y necesitas la mejor herramienta para transformar realmente tu negocio explotando todo el valor de tus propios datos, oga.APS es parte importante de tu solución.