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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

Our 2018- 2019 Network Design Survey showed that the majority of organizations are still relying on spreadsheets (nearly 60%) and gut feel (15%) to make network design decisions. In the context of disruptions like COVID-19, this can make considerable difference , as we’ve seen among AIMMS customers.

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The next frontier: supply chain data architecture for your needs

AIMMS

Data overload and quality issues are common problems faced by all organizations. This makes it really difficult to start getting value out of data with analytics. That’s why 60% of the time spent in analytical supply chain projects is spent collecting data. Data architecture to fit a multitude of your needs.

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3 Ways to Make your Operational Execution More Robust with S&OE

AIMMS

We put together a survey with our partners at Districon to better understand these challenges and offer ideas for improvement. Industries that deal with lots of daily fluctuations were among the most heavily represented in our survey. The survey shows that volatility may have something to do with this staggering disparity.

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The next frontier: supply chain data architecture for your needs, not to feed the needs of numerous supply chain tech vendors

AIMMS

Data overload and quality issues are common problems faced by all organizations. This makes it really difficult to start getting value out of data with analytics. That’s why 60% of the time spent in analytical supply chain projects is spent collecting data. Data architecture to fit a multitude of your needs.

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Don’t risk falling behind: 3 things you can do to start mastering analytics

AIMMS

S till, most companies are “not very far” when it comes to implementing analytics and garnering benefits from data, as a recent survey from CSCMP suggests. I n many cases, organizations haven’t succeeded in making the organizational changes required to become data-driven. Source: CSCMP.

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7 Pitfalls of Stalled IBP Initiatives and How to Overcome Them

AIMMS

Additionally, most planning tools fail to incorporate the abstract data that’s required for this stage. How can you account for new products that don’t exist in master data? Product management in AIMMS IBP. Often, demand planners are located in supply chain, where there is more data affinity.

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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

Our 2018- 2019 Network Design Survey showed that the majority of organizations are still relying on spreadsheets (nearly 60%) and gut feel (15%) to make network design decisions. In the context of disruptions like COVID-19, this can make considerable difference , as we’ve seen among AIMMS customers.