Étude de cas

Standardize and transform global manufacturing operations with SymphonyAI

07.13.2023 | SymphonyAI team
 

Bridging Disparate and Legacy Systems

Small locations in this commodity business required a cost effective solution that could be deployed rapidly, but efforts to replace legacy ERP systems led to delays and cost overruns as the development and/or use of a traditional packaged solution across all the sites was found to be cost and time prohibitive. A different way of thinking and approaching the problem and solution was required.

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The Situation

  • A global Agriculture and Food company has grown to over 1,600 locations through acquisitions.
  • The acquisitions resulted in a wide disparity of processes and products across many sites and thousands of different systems and equipment types.
  • Operators and management lacked timely and accurate information to effectively run the business and manage global operations.
  • Inventory accuracy was poor with high variation in yields and performance across sites.

The Challenge

  • The many small locations in this commodity business required a cost-effective solution that could be deployed rapidly.
  • Custom development and/or using a traditional packaged solution across all the sites was found to be cost and time-prohibitive.
  • Efforts to replace the legacy ERP systems experienced delays and cost overruns, impacted by the lack of standardization across the sites and requests for local customizations.
  • A different way of thinking and approaching the problem and solution was required.

The Approach

  • Initiated a business transformation program to institute a standard Manufacturing Operations Management (“MOM”) model globally.
  • The SymphonyAI Industrial Platform was used as the onsite production MOM and execution system integrated with SAP. A small customer team developed and implemented a standard model at a site in 12 weeks, then began rapidly deploying across hundreds of sites annually.
  • The customer’s deployment and governance teams used the Savigent low-code development platform to standardize and archive repeatable processes, solutions, connectors and other artifacts to scale the system to other facilities.

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