What is production scheduling?
Production scheduling involves planning production orders (or manufacturing orders) over a horizon of one or more days across multiple production lines.
The sequence of processes in a production line transforms raw materials and semi-finished products into finished goods. These operations require resources such as production processes, human labor, and energy.
Effective production scheduling maximizes the number of production orders completed in the shortest time while ensuring resource availability. Additionally, production orders must be synchronized across all processes in a production line.
What is the difference between planning and scheduling?
Production planning involves creating a series of plans across different timeframes and product levels. These include the Strategic Plan (SP), Master Production Schedule (MPS), Production Plan (PP), Net Requirements Calculation (NRC), and finally, scheduling. Scheduling is the most detailed production plan, as it determines the start and end times for all production orders.
However, scheduling differs from other production plans in its objectives. Earlier plans focus on economic efficiency—meeting demand at the lowest cost while adjusting production capacity (machinery and workforce) if needed. In contrast, scheduling aims to optimize the use of available production capacity while adhering to all operational constraints.
How can decision mathematics and artificial intelligence improve production scheduling?
Decision mathematics—including probability calculations, linear and nonlinear optimization, and dynamic programming methods—plays a crucial role in production planning. These approaches help optimize processes by accounting for various constraints such as time, available resources, and delivery deadlines.
The scheduling optimization algorithms developed by EURODECISION experts draw on years of experience in decision mathematics as well as hundreds of projects completed in the production sector. These high-performance algorithms can schedule thousands of production orders in minutes while considering operational constraints.
Additionally, artificial intelligence (AI), particularly machine learning, enables the analysis of vast historical datasets to forecast future demand with greater accuracy and adjust production levels in real time. AI can also detect anomalies in production data (e.g., input errors, unusual demand patterns). Integrating AI into supply chain management systems helps anticipate delays, optimize product routing, and reduce costs through better resource allocation.
By leveraging decision mathematics and AI, you can significantly enhance production efficiency, cut costs, and respond swiftly to market changes.
What expertise does EURODECISION offer in production scheduling?
EURODECISION teams have successfully delivered production scheduling and planning projects for clients across diverse industries, including food processing, automotive manufacturing, printed advertising distribution, energy, and more.
Our experts rely on two core algorithmic components developed by our R&D team, incorporating years of experience:
- SCOP Capacity Planning enables daily production planning over a 1- to 12-week horizon, bridging the gap between the Master Production Schedule (MPS) and detailed scheduling. This component provides preliminary production sequencing.
- SCOP Scheduler handles the scheduling of thousands of production orders while accounting for fine-grained operational constraints encountered in real-world settings.
Our experts take a deep interest in your business. They collaborate with your schedulers to understand and model your constraints, delivering a tailored scheduling algorithm for your production lines. Since no two plants face identical constraints, our team can incorporate site-specific requirements into these components.
What constraints can the SCOP Scheduler component handle?
Our SCOP Scheduler component enables rapid sequencing of thousands of production orders while addressing a wide range of constraints:
- Resource constraints: material and/or human resources required to execute an order, resource availability schedules, workforce skill management, break times, etc.
- Temporal constraints: earliest and latest start dates, production durations dependent on the process used, etc.
- Logical constraints: precedence relationships between orders, incompatibility/compatibility/synchronization requirements, resource exclusions, etc.
- Custom constraints.
Additionally, multiple scheduling modes (or criteria) are available, including earliest start, latest finish, total duration minimization, and setup/changeover time reduction. These modes can be combined to achieve balanced solutions.
How does a production scheduling project with EURODECISION experts work?
EURODECISION experts guide you through every stage of your scheduling project, whether for consulting or software deployment. A typical project follows these steps:
- Scoping workshops: Through multiple sessions, our experts engage with your schedulers and business stakeholders to fully grasp your expectations and operational specifics. We also coordinate with your IT department to define integration requirements for the future software solution.
- Data collection and analysis: The scoping workshops identify the necessary data and its availability. Analyzing this data deepens our understanding of your business and the complexity of your planning needs.
- Planning engine implementation: We configure and adapt the solution to perfectly match your requirements. Experience shows that exhaustively specifying all scheduling constraints upfront is challenging. During this phase, we regularly share schedules generated by our component. Reviewing these helps pinpoint any gaps in constraint specifications.
- Industrialization, deployment, and training: Once validated, the engine is integrated into the target solution. The software can be deployed on your internal servers or with an external host. Our experts then train end users.
- Support and maintenance: Beyond corrective and evolutionary maintenance, our experts remain available to provide ongoing expertise for all your questions.