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Customer Centric Supply Chain Planning

Detailed Scheduling for Complex & Fast-Paced Production Environments

ICRON Detailed Scheduling sequences and assigns production tasks to resources with precision down to the minute, leading to faster production flow and fewer delays. Managers get the confidence to make informed, real-time decisions with visibility and total control over the shop floor.

The exclusive features that set ICRON Detailed Scheduling apart:

  • Automated resequencing of tasks in response to disruptions or production scenario changes.
  • A single source of truth with intuitive tools and an interactive Gantt view of the entire schedule.
  • AI-powered what-if scenario analysis to select the best schedule for your business goals.
  • Identifying critical paths and bottlenecks in the production flow for a root-cause analysis of undesirable schedule outcomes.

Benefits

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On-time Delivery

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Operational Equipment Effectiveness

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Reduction in Production Cycle Time

Enhance Resilience and Supply Chain Visibility with ICRON Demand

Advanced Scheduling and Sequencing

  • Select a planning horizon based on your business needs. Choose between interactive, engine-supported scheduling and fully automated scheduling as needed at various levels.
  • Get timely alerts for rules or constraint violations caused by user modifications

Resource Capacity & Bottleneck Management

  • Utilize a wide range of resource scheduling capabilities across diverse manufacturing environments.
  • Get the advantage of dynamic resource-shift assignments and alternative resource prioritization.

Eliminate Scheduling Blind Spots

  • Time-based inventory projection for material, finished, and semi-finished products.
  • Detailed end-to-end supply chain information with ICRON Detailed Scheduling – ATP, CTP, backward and forward pegging, and native scenario support.

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A solution that drives measurable
benefits for your business

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Demand Decision Process

ICRON Demand empowers businesses to navigate uncertainty through accurate forecasting using AI-driven methods that take into consideration historical data, reaTime updates, and fast adaptation to changing market conditions and disruptions.

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