Develop and implement a 3–5 year AI roadmap aligned with PTPs supply chain strategy, including identification, evaluation, and prioritization of high-value AI use cases with clear ROI assessment.
Lead end-to-end implementation of AI and automation solutions, ensuring successful integration with ERP (RAMCO), WMS, procurement systems, and other digital platforms while maintaining strong data governance and model performance.
To manage, support, and optimize the Terminal Operating System (TOS), ensuring stable operations, effective user adoption, accurate operational data, and successful delivery of system enhancements that support terminal performance objectives.
Ensure that safe working practices according to PTP policies and procedures.
Ensure stable, reliable, and secure operation of the Terminal Operating System (TOS), including configuration, maintenance, and support.
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Develop and implement a 3–5 year AI roadmap aligned with PTPs supply chain strategy, including identification, evaluation, and prioritization of high-value AI use cases with clear ROI assessment.
Lead end-to-end implementation of AI and automation solutions, ensuring successful integration with ERP (RAMCO), WMS, procurement systems, and other digital platforms while maintaining strong data governance and model performance.
To manage, support, and optimize the Terminal Operating System (TOS), ensuring stable operations, effective user adoption, accurate operational data, and successful delivery of system enhancements that support terminal performance objectives.
Ensure that safe working practices according to PTP policies and procedures.
Ensure stable, reliable, and secure operation of the Terminal Operating System (TOS), including configuration, maintenance, and support.
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Identify, develop, and deploy AI use cases within AlMg Substrate manufacturing, targeting yield improvement, defect reduction, and equipment downtime minimization across Plate, Wash, and Polish processes.
Build predictive and prescriptive models using available internal AI tools on manufacturing process data extracted from MES, ERP, and IoT/sensor sources.
Apply statistical analysis techniques including SPC, DOE, Cpk analysis, hypothesis testing, and multivariate analysis to uncover KPIV-KPOV relationships in substrate manufacturing processes.
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