GlossaryScheduling Concepts

    Operational Trust

    Definition

    Operational trust is the condition where the schedule published by the planning function is believed and executed by the floor — operators, supervisors, and dispatchers — without parallel side-systems, override whiteboards, or gut-feel resequencing. It is not a feature, it is a state earned by a scheduling system that consistently produces plans the floor can actually run. Without operational trust, no scheduling tool delivers value, regardless of its math.

    Why it matters

    Most factories already have a scheduling system. Most of them are ignored. Operators run from travelers, whiteboards, and expediter calls because the published schedule has been wrong too many times. Restoring operational trust — by producing schedules that are feasible, current, and explainable — is the prerequisite for any throughput or OTD improvement.

    Common failure mode

    The ERP publishes a schedule that puts 16 hours of work on an 8-hour shift. The operator silently ignores it and runs whatever the expediter shouts about. Three months later management buys a new APS module. Operators ignore that too. The pattern continues until the underlying schedule produces plans that match physical reality.

    How Skody approaches it

    Skody is designed for operational trust: every constraint is modeled, every replan is explainable, every dispatch is current. When operators see the next three jobs and the constraint that drove the sequence, the system earns the floor's trust in weeks, not years.

    Questions

    A simple proxy: what percentage of operations are run in the sequence the schedule specified? If it is below 70%, operators are overruling the schedule. Above 90%, the floor is genuinely executing the published plan and the scheduler is delivering value.

    Two reasons, every time: the schedule asks for work that cannot physically be done (overload, missing material, missing fixture), or the schedule is so stale that following it produces worse outcomes than ignoring it. Both are scheduler problems, not operator problems.

    Yes, but only if it produces feasible, current, and explainable plans from day one. A finite-capacity engine with dynamic replanning typically restores trust within 30–60 days of go-live, measured by sequence adherence and operator survey.

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