job-order costing, heat tracking, pattern management, and casting yield control
heat composition tracking, chemical analysis integration, and metallurgical compliance
die casting, gravity casting, and pressure die casting with batch and melt traceability
wax injection, shell building, and post-casting quality inspection lot management
integrated shop-floor sequencing, WIP tracking, and in-process inspection
multi-customer job costing, delivery scheduling, and customer-specific quality documentation
Greenfield, brownfield, or selective data transition to SAP S/4HANA. Job-order costing structures, heat and pattern management, and casting yield logic designed into the blueprint, not resolved after go-live.
Full heat-level traceability from charge composition to finished casting, built into the SAP core. Chemical analysis integration, melt log capture, and batch classification — connected to quality inspection lots without custom middleware.
We connect furnace control systems, spectrometers, and shop-floor MES platforms to S/4HANA using SAP Integration Suite. Production actuals, machine parameters, and quality results flow in real time, not at shift end.
Casting-level inspection lot management, dimensional and metallurgical test result capture, and customer-specific quality documentation — PPAP, ISIR, and material certifications — built into the delivery process without standalone QMS workarounds.
Job-order costing structures that reflect actual foundry economics: yield loss, scrap, rework, heat energy, and pattern amortization. Finance and operations work from the same numbers, not reconciled at month end.
Foundry operations don’t pause after go-live. Candent’s 24x7 AMS practice provides continuous support, regulatory update management, and structured improvement — run by the same team that built the solution.
ML models trained on charge composition, furnace parameters, and historical yield data help operators anticipate yield loss before the pour, supporting tighter production planning.
AI-assisted analysis of inspection data and process variables identifies conditions that produce porosity, shrinkage, or surface defects, reducing scrap and rework costs.
sensor data from melting and heat treatment assets feeds ML models that flag maintenance needs before a breakdown disrupts the production schedule.
AI tools analyze available materials, target chemistry, and cost constraints to improve material utilization and reduce excess scrap at the heat level.
ML-assisted analysis identifies job-order costing anomalies earlier in the production cycle, reducing month-end surprises and improving pricing confidence.
Costing model, integration dependencies, and shop-floor data flows assessed before program design begins. The scope reflects your actual operation.
Integration architects and SAP functional consultants work on the same team. Spectrometer feeds, MES connectivity, and quality integration are part of the blueprint.
Programs led by consultants with direct delivery experience in ferrous and non-ferrous environments, not adapted from discrete manufacturing engagements.
The delivery team continues as the managed services team after go-live. The people who built the solution are the people maintaining it.
Consultants on your program are trained to the SAP standard before they arrive. Not onboarded on your timeline and your budget.