Facilitates the traceability of
raw materials, components, and sub-assemblies used
in the manufacturing
process by capturing and documenting detailed information about
their origins, suppliers, and procurement history.
Enables the
manufacturing traceability
of production processes, workflows, and operations throughout
the entire production lifecycle by capturing real-time
production data, process parameters, and operational metrics.
Manufacturers can track and monitor each step of the production
process, identify process variations, and ensure that production
activities adhere to predefined quality standards, regulatory
requirements, and industry-specific compliance measures.
A comprehensive record of
quality control
and inspection activities and the traceability of product
distribution, shipment, and delivery activities. This is to
track and monitor product movement, logistics operations, and
delivery schedules from the production facility to end customers
or distribution channels.
Compliance data preservation
Adheres to regulatory data retention requirements by
implementing data preservation policies that align with
industry-specific regulations and compliance standards. Ensures
that critical manufacturing data, including production records,
quality data, and audit trails, is securely stored and
accessible for the specified retention periods as mandated by
regulatory authorities.
Leverages encryption protocols, access controls, user
authentication mechanisms, and data encryption technologies, to
ensure the confidentiality, integrity, and availability of
manufacturing data, preventing data tampering, unauthorized data
modifications, or data loss, and maintaining the highest levels
of data security and protection throughout the data preservation
lifecycle.
Establish robust data backup and recovery procedures to ensure
the resilience and availability of manufacturing data in the
event of data loss, system failures, or unforeseen disruptions
if it is deployed on our premises. The backup of the data can be
performed based on the customer's need if it is hosted on their
premises.
Based on the data relevance, criticality, and retention
requirements, we can establish data archiving policies, automate
data retention schedules, and facilitate data disposal
procedures to optimize storage utilization, streamline data
access, and ensure the compliant preservation and management of
manufacturing data throughout its entire lifecycle.
Relating data across multiple processes
Facilitates interprocess data integration by aggregating,
harmonizing, and correlating data from diverse manufacturing
processes, production lines, and operational units into a
centralized data repository. With this seamless data integration
across multiple processes, manufacturers can consolidate
production data, streamline data exchange, and enable
cross-process data analysis, fostering a holistic view of
production operations and enhancing decision-making
capabilities.
Enables cross-functional data mapping by linking data points,
metrics, and performance indicators across different
manufacturing processes, departments, and functional areas, such
as production, quality control,
inventory management, and supply chain operations. Manufacturers can identify
process interdependencies, assess performance correlations, and
facilitate data-driven insights across multiple processes within
the manufacturing environment.
A unified process monitoring and control capabilities, allow
manufacturers to monitor, manage, and control interconnected
manufacturing processes and operational workflows from a
centralized dashboard or control panel. Manufacturers can gain
real-time visibility into cross-process data trends, performance
metrics, and operational
KPIs, facilitating proactive decision-making.
Cross-process analytics and reporting functionalities, enable
manufacturers to analyze, visualize, and report on integrated
data insights, process performance trends, and operational
benchmarks across multiple manufacturing processes and
production units. Manufacturers can identify process
bottlenecks, assess production variations, and implement
data-driven strategies to enhance process coordination, mitigate
operational risks, and
maximize manufacturing productivity
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