Teams led by a manufacturing engineering manager responsible for event-driven controls often coordinate the machine data collection process across disconnected forms, messages and ERP screens. References are copied by hand, organizational rules are applied unevenly, and an exception can lose its owner before the underlying document is corrected. In this event-driven design, the requirements for source events, correlation keys and retry ownership are embedded in the workflow rather than kept on a separate checklist.

Proposed build

ECOSIRE would first scope and quote a build-to-order Epicor Kinetic extension. This page is a candidate design, not an existing software package. Processing would start when a machine data collection request reaches the ERP boundary within the event-driven scope. The extension would validate machine data collection policy, organization mapping and accountable ownership, plus source events, correlation keys and retry ownership, resolve Job, Method of Manufacture, Labor Detail and Nonconformance used in the machine data collection process and governed by source events, correlation keys and retry ownership, and route an invalid or unreconciled machine data collection record in the event-driven queue to a named work queue. It would not invent a mapping or advance a document when a required control is missing.

Epicor Kinetic implementation

The proposed technical path uses Business Process Management directives configured for the machine data collection process in an event-driven context. Discovery would confirm which released interfaces are enabled in the target environment and which native lifecycle must remain authoritative. The extension would keep the initiating reference beside the ERP key, allowing an operator to trace a request through validation, posting, correction, reversal and reconciliation. Native posting logic would remain in control of the business document.

Exceptions and recovery

Each request would receive a stable correlation key. A repeated request would resolve to its earlier outcome instead of producing another document. Transport faults could be retried from a checkpoint, while business-rule faults would stay non-posting until an authorized user corrects the cause. The exception record would show the rejected field, rule, organization, owner and related ERP reference without requiring access to raw application logs.

Reconciliation

Operational reconciliation would compare received, accepted, rejected, replayed and reversed records. It would retain event identity and processing outcome for the machine data collection process and expose unmatched source references separately from ERP posting failures. This distinction matters because a successful interface call is not proof that the business transaction reached its intended accounting or operational state.

Prerequisites and acceptance

Before construction, discovery would confirm modules, organizational structure, security roles, master-data ownership, interface availability, code lists, posting policy and representative test cases. A least-privilege integration identity would be used. Acceptance scenarios would cover valid processing, duplicate delivery, missing mapping, authorization failure, partial rejection, controlled replay, reversal and control-total reconciliation. The final scope would remain quote-only and build-to-order.