Digital Technologies and Competencies

A real time system to predictively monitor and manage the quality performance of the shopfloor.

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RPS bridges the gap between Enterprise system (e.g., ERP) and the shop floor, to ensure realistic delivery commitment and meet customer expectations. The integrated features help customer to plan, schedule and track production activities in a smart manner.

MSS lets you create schedules in one click, reassign tasks effortlessly and share scheduling changes with your employees instantly.

IAP system helps companies control right-sized inventory through optimal inventory policy development and performance visibility improvement.

Creates a cyber representation of the production environment for performance prediction and optimisation under various operating scenarios.

Real-time dashboarding is a data visualisation and management tool that provides Key Performance Indicators (KPIs) and near real-time operations visibility from different levels of an enterprise to support visualisation, insight trend and decision making.

APMP is a user-friendly interface driven toolkit which enables quick and efficient provisioning of highly available and scalable platforms for microservices applications.

An intelligent workflow system that enables users to automate broad ranging operations workflows through easy-to-configure Excel-based templates.

A holistic planning and tracking system with full track and trace capabilities for complete digitization of logistics delivery and inventory management.

SES automates part fabrications in the PE industry, optimising production setup, machine utilisation, and process design to produce complex parts with precision and superior finishing controls, offering high-value engineering solutions.

IH-DTI enables seamless interface between digital models and human through AR/ VR technologies for providing interactive decision-making and immersive guided operational procedures.

Software tools to enable wireless performance characterization and wireless network benchmarking of industrial IoT applications to support investment decision of wireless-industrial networks.

Edge intelligence capabilities to empower reliable and energy efficient wireless-enabled industrial applications.