webinar på begäran

Combine real and digital operations to understand, predict and optimize CPG plant performance

Test CPG production scenarios, predict operational impact and improve asset utilization before changes go live.

Beräknad visningstid: 28 minuter

Dela

Automated CPG production line with a robotic arm moving cans along a conveyor

Rising costs, SKU complexity, sustainability expectations and labor challenges are making CPG production harder to plan and predict. Manufacturing leaders need better ways to evaluate decisions before they affect live output, resources or capital assets.

In this on-demand webinar, Siemens experts discuss how Optimize My Plant brings predictive digital twin capabilities into production design and operations. The conversation focuses on how CPG manufacturers can move from gut feel to data-driven decision-making by using a practical framework: understand, predict and optimize.

The webinar addresses a key question for CPG manufacturing leaders:

How can manufacturers keep production design and operations agile while improving capital asset performance, scale and utilization?

Watch the webinar for a discussion of:

  • The cost, SKU complexity, sustainability and labor pressures shaping CPG manufacturing
  • How Optimize My Plant supports the Siemens approach to understand, predict and optimize
  • How simulation models can connect with production data to support shop floor decision-making
  • Demonstrated use cases for new product introduction, maintenance planning and production schedule validation
  • Customer examples from chocolate manufacturing, cheese manufacturing and cosmetics production

The webinar highlights improvement opportunities including efficiency improvements up to 25%, production cost reductions up to 20% and reduced unscheduled downtime up to 30%.

Möt talarna

Siemens Digital Industries Software

Kevin Hoorne

Industry Manager for CPG focusing on Product Design Solutions

Kevin has been working in the food processing industry for the past nine years.Kevin’s previous experience includes six years in a chocolate processing company and three in a dairy/cheese packaging and manufacturing plant.

Siemens Digital Industries Software

Souhila Mokaddem

Digital Enterprise Innovation Consultant

Souhila enables global clients to unlock the full potential of simulation-based decision-making. With a background in engineering and business, she bridges technical insights and operational needs to drive optimization in complex manufacturing systems using Siemens simulation technologies.
Souhila combines a technical and business background to enable global clients to unlock simulation-based decision-making and optimize complex manufacturing systems with Siemens simulation technologies. She co-innovates with market leaders on digital solutions for Industrial AI and the Industrial Metaverse.

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