Production Capacity Planning

The ability to make faster, more efficient, more agile production strategies

Challenge:

Your business fluctuates constantly, with changing demand, organic growth into new regions and mergers and acquisitions. Capacity questions and challenges beg for answers. When and where will you need to add facilities? How much space will you need? How much throughput will be needed to hit demand forecasts or better service each region?

Solution:

With the llama.ai platform, you can model both long-term strategic production capacity requirements to quarterly and monthly production plans. Consider end-to-end supply chain information including raw materials, demand, bills of material and work resources to make capacity and production decisions. Build digital models that represent the information to redesign and re-optimize when forecasted changes or unplanned events occur.

  • Create models to identify the production location, timing and quantity of each product to use capacity at the lowest total cost
  • Understand when and where capacity runs out and how to balance existing capacity with the investment required to add more
  • Balance limited production capacity with exceeded demand volumes by identifying strategies for pre-building goods or pre-positioning inventory

Consider end-to-end supply chain information including raw materials, demand, bills of material and work resources to make capacity and production decisions – within your existing constraints and potential options.

llama.ai is an AI-enabled enterprise decision platform built exclusively for analysis of the extended supply chain.  It combines three key analytics capabilities into a single platform to accelerate the speed and quality of business decisions with advanced, in-context analytics that span the breadth and depth of the extended supply chain and its specific functions. LLama.ai highlights operational trends, patterns and trade-offs through a centrally accessible supply chain digital twin that continuously pulls and prepares data from the comprehensive supply chain ecosystem.

See Solution Case Study

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