Capacity Planning
All Dataleo news, jobs, analyses and tutorials around Capacity Planning in Supply Chain and Operations.
Jobs (4)
Senior NPI Sourcing and Supply Chain Program Manager, AWS Power & Cooling
Senior Capacity Delivery Reliability Planner, AWS Infra Supply Chain
Senior Manager — Supply Chain Network Capacity & Flow
The role is relevant to scenario planning, capacity ownership and connecting network assumptions to governed planning decisions.
News (19)
LG adds an 80%-automated glass-powder line and a second production base in Vietnam
ASML capacity plan highlights the physical bottleneck behind AI demand
Micron backs domestic silicon-wafer capacity with financing and a ten-year agreement
SK Telecom plans AI data-centre capacity of up to 15 GW
South Korean groups commit $195 billion to AI, robotics and advanced manufacturing
Vertiv opens Malaysian manufacturing facility for AI and high-density infrastructure
China’s factory recovery is increasingly concentrated in AI-related exports
South Korea launches a $576 billion AI-chip and semiconductor capacity drive
Ocean-shipping disruption persists despite the US–Iran ceasefire
Pattison Food Group deploys Dematic automation for grocery fulfilment
South Korea discusses accelerated semiconductor capacity investment with Samsung and SK Hynix
Doosan Robotics unveils AI-powered palletizing system at Automate 2026
DecisionBrain’s OPTIMA wins 2026 Eason Digital Innovation Award for maintenance optimization
DecisionBrain, PA Consulting and TGIS Aviation received the 2026 Eason Digital Innovation Award for OPTIMA, a maintenance-optimization solution combining asset constraints, maintenance requirements and capacity decisions in a shared optimization model.
Unilever scales AI-enabled digital twins across its manufacturing network with Accenture
Unilever and Accenture are scaling AI-enabled digital twins across Unilever’s global manufacturing network.
The planning relevance lies in connecting production constraints, asset behavior and operational scenarios to faster capacity and production decisions.
Digital twins create value only when their assumptions, effective dates and approved scenarios feed the same governed capacity model used by planning teams.
DriveNets raises $410 million to scale networking infrastructure for large AI deployments
DriveNets raises $410 million to scale networking infrastructure for large AI deployments
PENTA Electrical Safety Products Reports Higher Service Levels and Revenue After Deploying Komugi
PENTA Electrical Safety Products reported that Komugi became a central platform in its Project 2026 operational-excellence program, improving flow visibility and daily execution.
According to the published case update, the company reduced temporary staffing from four full-time equivalents to two, increased revenue by €2 million and improved service levels from 72% to 96%.
The case is relevant because it links planning visibility to operational outcomes rather than software adoption alone. The control question is whether workload-capacity assumptions, production priorities and exception responses are owned, reviewed and measured consistently across the organization.
Komugi Uses SIANE 2025 to Promote Outsourced PIC and MRP Planning for Industrial SMEs
Komugi appeared at the 2025 SIANE Industries event, where co-founder and CEO Xavier Feltin presented an approach to outsourcing PIC and MRP planning to secure workload, capacity and growth.
The session addressed manufacturers that lack mature internal planning capabilities but still need structured decisions on capacity, materials and customer commitments.
Komugi Brings Workload-Capacity Planning to Global Industrie 2025
Komugi participated in Global Industrie 2025 in Lyon, where co-founder Xavier Feltin joined a roundtable on S&OP best practices and benefits for industrial organizations.
The event connected Komugi’s workload-capacity planning positioning with broader discussions on smart manufacturing, industrial AI and Industry 5.0.
The operational relevance is the link between strategic S&OP choices and executable capacity plans. Manufacturers need traceable assumptions, realistic bottleneck data and named ownership before scenarios are translated into production or investment decisions.
Insights (12)
AI chip demand must be planned through tool capacity, not headline demand
The AI semiconductor constraint is the ability of the equipment, wafer, packaging and power supply chain to convert demand into qualified output.
Read more →The semiconductor supercycle creates allocation decisions beyond the chipmakers
AI-driven semiconductor growth creates competition across automotive, industrial and infrastructure customers for shared upstream capacity.
Read more →Power-planning software is becoming part of industrial Supply Chain architecture
Power-system planning increasingly determines whether industrial and AI capacity can be delivered on schedule.
Read more →AI-infrastructure growth is becoming an industrial-material planning problem
Digital demand increasingly depends on factories, power, cooling, advanced materials and qualified production capacity.
Read more →Shared port capacity can determine whether green-industry plans are feasible
Industrial investments can appear viable individually while competing for the same port, rail and maritime capacity.
Read more →Industrial AI policy is shifting from model leadership to production-system capacity
AI competitiveness increasingly depends on power, industrial sites, equipment and supply-chain organisation, not models alone.
Read more →South Korea’s AI investment wave will expose shared physical bottlenecks
Individually credible expansion plans can become collectively infeasible when they compete for the same infrastructure and suppliers.
Read more →AI infrastructure growth depends on physical logistics capacity
Read more →Maintenance optimization belongs inside capacity planning—not beside it
Separate maintenance and production models create competing versions of capacity and late operational conflicts.
Read more →