End User
LMS
Description
This is an AI service that can be used optimize the Process Plan* of a manufacturing plant. This implies the selection of the processes and their sequence, as well as the process parameters’ values. The input comprises of the part-related information, the machines availability and their attributes. The output is the process plan for a given plant and a given part. Energy efficiency will be one of the criteria used in decision making, along-side other manufacturing attributes, such as time, cost and quality.
Core Capabilities
Optimization & Decision Support
Business Need
Modern industries face growing pressure to reduce energy consumption due to rising energy costs, stricter environmental regulations, and sustainability commitments. Traditional process planning often overlooks energy efficiency, leading to excessive operational costs and unnecessary environmental impact. An energy-efficiency-focused process planner addresses this gap by integrating energy consumption metrics into the planning phase of production or operations. This enables organizations to design processes that are not only technically and economically optimal but also energy-conscious. By doing so, the service:
Reduces operational costs through lower energy usage.
Improves environmental sustainability by minimizing carbon footprint.
Ensures regulatory compliance with energy and emissions standards.
Supports strategic goals related to green manufacturing and ESG (Environmental, Social, Governance) performance.
Reduces operational costs through lower energy usage.
Improves environmental sustainability by minimizing carbon footprint.
Ensures regulatory compliance with energy and emissions standards.
Supports strategic goals related to green manufacturing and ESG (Environmental, Social, Governance) performance.
Key Performance Indicators
Response time for real-time adjustments
Increase in energy efficiency
Reduction in time-related KPIs
Applicability & Adaptation
Data Provided
Proprietary datasets from plant operations (API, CSV, JSON, depending on the case) (unknown datasize) (existing documentation for structure) (data resolution per hour)
Proprietary datasets for the parts (products) (API, CSV, JSON, depending on the case) (unknown datasize) (existing documentation for structure) (data resolution per hour)
TEF
TEF IND