Classic planning rules usually pursue a single objective:forward scheduling based on due dates, backward scheduling for capacity leveling, or minimizing setup times.In reality, however, multiple—sometimes conflicting—objectives must be considered simultaneously:

  • On-time delivery
  • Inventory reduction
  • Setup optimization
  • Cost minimization
  • Energy efficiency

The MCP weighting rule extends Opcenter APS with a strategic control logic.With each planning run, you define which objectives have priority—and how they are weighted.Depending on the planning horizon, maximum utilization can be achieved in the short term, while medium- and long-term planning ensures on-time scheduling without unnecessary capital commitment.The result is a fast, constraint-compliant planning run with clearly defined economic objectives.

Key weighting criteria include

From demand forecasting to distribution, Sunstice enables integrated management of the food supply chain and delivers measurable economic impact across all planning levels.


On-time delivery / slack time

Orders are prioritized according to their urgency. The weighting determines how strongly due dates are considered compared to other objectives.

Setup and cleaning times

Setup and cleaning matrices are specifically integrated into sequence planning to reduce setup efforts and improve machine utilization.

Lead times

Idle times between operations are minimized to reduce work in progress (WIP) and lower capital tied up.

Costs

Machine and resource costs are incorporated into the decision logic, ensuring that economically optimal alternatives are preferred.

Energy costs

When energy data is integrated, energy-intensive processes can be shifted to more cost-efficient time windows—enabling active peak shifting and reduced energy costs.

Screenshot OpcenterAPS Gewichtungsregel

How the MCP weighting rule works in practice

The MCP weighting rule operates as a higher-level prioritization logic within Opcenter APS.Each relevant objective is assigned a defined weighting. During the planning run, the algorithm continuously evaluates which sequence and resource allocation best fulfills the overall achievement of these objectives.All constraints—machines, personnel, materials, tools, and energy—are fully taken into account. The key differentiator is not the isolated optimization of individual KPIs, but the deliberate balancing of competing objectives. Examples of practical applications:
    1. Short-term focus on maximum on-time delivery under high order pressure
    2. Increased weighting of setup optimization to stabilize production
    3. Reduction of lead times to lower working capital
    4. Kostenorientierte Anlagenwahl bei alternativen Ressourcen
    5. Energy price-dependent production shifting
    6. Strategic combination of multiple objectives depending on the business situation
 By defining profiles, it becomes easy to switch between different planning scenarios and transparently compare their impact.This turns production planning into an active management tool—flexible, economically driven, and strategically deployable.

Leverage your planning as a strategic lever

The MCP weighting rule reveals the potential of a strategically controlled production planning approach.
As part of a structured potential analysis, we assess which economic effects are realistically achievable in your specific environment—aligned with your objectives, constraints, and market requirements.
You will receive a well-founded assessment of productivity, inventory development, delivery performance, and implementation effort.

Assess your optimization potential
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