cronetwork Detailed Scheduling & APS
The graphic scheduling board for your production
cronetwork Detailed Scheduling offers you maximum transparency and flexibility in the planning and execution of your production processes. For example, it accepts production orders and planned orders from your ERP system, calculates various scheduling scenarios from them, and presents them visually for you. Both required and existing capacity limits are taken into account, as well as effects on further orders. Within a very short time you can make targeted decisions in an extremely dynamic business environment.
cronetwork Detailed Scheduling reveals existing optimization potential, you increase your adherence to delivery deadlines, reduce throughput times, minimize set-up times and stock levels, and optimally use your capacities. Pegboards and Excel tables as planning tools are now relics of the past. cronetwork Scheduling Board digitalizes and optimizes your production planning and ensures your competitiveness.
Minimum throughput times and increased adherence to delivery deadlines
Reduction of setup times and costs
Optimized utilization of available capacities
Understandable visualization of order structures
Real-time transparency as a basis for decisions
cronetwork Detailed Scheduling & APS
APS (Advanced Planning & Scheduling)
cronetwork APS lets you simulate a wide variety of manufacturing scenarios, taking into account predefined framework conditions. You decide according to which criteria you want to schedule against finite capacities. Important resources such as personnel, machines, tools as well as technological constraints are taken into account.
The complex processes of a production operation become manageable and easier to understand through the visualization of interrelationships and dependencies within production. You yourself determine the mix of manual scheduling, multi-resource planning and automation. You thus retain full control.
- Gapless production planning
- Efficient resource utilization
- Digital interface to production
APS plus :: Order Network Formation
Aside from the classic resources machine, personnel and tools, cronetwork APS plus utilizes networking to also take into account material availabilities in the scheduling. This applies to both in-house production and purchased parts, even across anonymous warehouse levels. Proven standard interfaces to almost all ERP systems (e.g., certified SAP Connector) enable seamless bidirectional data transfer with cronetwork MES.
Even in highly dynamic and constantly changing production environments, you can evaluate the feasibility of your production orders and take the right measures at an early stage.
- Material availability at a glance
- Consideration of physical stock and scheduled deliveries
- Understandable visualization via graphical scheduling board
APS plus :: Personnel Assignment Scheduling
The integration of Personnel Assignment Scheduling brings additional advantages. This allows you to consider the availability and qualification of the required employees right from the planning phase.
Benefit from the real-time display of personnel supply and demand. Accordingly, you can react quickly to possible bottlenecks and short-term employee fluctuations. Even during vacation or sick-leave intensive months, you keep track of the situation.
- Clear display of personnel requirements and availability
- Quick reaction to (short-term) personnel fluctuations
- Efficiently allocated employees
APS Optimizer provides you with the benefits of next generation optimization algorithms, enabling you to raise your production scheduling to the next level when it comes to productivity. In addition to the existing scheduling functions, the APS Optimizer continuously creates (multiple) simulations which, owing to seamless integration, can be transferred into the scheduling board at any stage by mouse click. You specify the optimization targets by weighting several target functions (e.g. cost reduction, reducing the order throughput time, optimizing the setup time and costs, minimizing order delay, etc.) Thus, you are tracking several optimization targets simultaneously, are always looking at the entire optimum and are allowing the scheduling to act in a self-learning manner like an intelligent partner.
- Global search for solutions which goes beyond local optimum of heuristics
- Have various optimizations developed simultaneously and supported by AI
- Disruption management for an automatic response to exceptional and failure situations