Especially in process industries—such as the food or chemical industry—silos and tanks are not secondary constraints, but central bottleneck resources.Capacity limits, permitted contents, cleaning cycles, and logistical dependencies directly influence production sequencing, lead times, and inventory levels.If these factors are not systematically integrated into production planning, this results in:

  • Unplanned downtime
  • Unnecessary stock movements
  • Increased cleaning effort
  • Reduced equipment availability
  • vermeidbare Kapitalbindung

The MCP silo and tank planning fully integrates these constraints into Opcenter APS—enabling realistic and economically robust detailed scheduling.

Relevant factors include:


">Available capacity and current fill levels are dynamically incorporated into the planning process.

Permissible weight

Maximum weight limits and product-specific load constraints are considered in compliance with all restrictions.

Accessibility

Equipment and pipeline logic determine which silos or tanks can actually be used at which point in time.

Existing content

Current fill levels influence possible downstream processes and production sequences.

Permitted content

Product groups, quality requirements, and contamination risks are ensured and safeguarded within the planning process.

Preferred usage

Strategic preferences—such as reducing cleaning cycles—can be specifically taken into account.

Screenshot OpcenterAPS Silo&Tank

This is how silo and tank logic is fully integrated into detailed scheduling

The MCP extension captures all parameters relevant for planning of silos and tanks in a structured way within the system.During the planning run, future fillings, withdrawals, as well as inflows and outflows are dynamically calculated. This results in a transparent view of time-based allocation and available capacity.The system considers:
  • temporal overlaps
  • minimum and maximum fill levels
  • product-specific content constraints
  • cleaning requirements
  • logistical dependencies between machines
Planning is therefore no longer performed in isolation at the machine level, but with full integration of material and storage logic.The result is a feasible production plan with fewer disruptions, reduced stock movements, and more stable processes.
Integrated silo and tank planning enables:
  • Higher process stability in continuous production environments
  • Reduction of unplanned downtime
  • Reduced cleaning and changeover efforts
  • better utilization of storage resources
  • transparente Belegungsübersicht
  • Realistic simulation of alternative planning scenarios
Silo and tank constraints are thus transformed from a source of disruption into a controllable planning parameter.

Stabilize your process production strategically

As part of a structured potential analysis, we assess the extent to which silo and tank constraints impact your production performance and what optimization potential can realistically be achieved through integrated planning.
You will receive a well-founded assessment of stability effects, utilization potential, and implementation effort.

Assess your optimization potential
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