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7 Pitfalls of Stalled IBP Initiatives and How to Overcome Them

AIMMS

We recently held a webinar with our partners at Oliver Wight to address these questions, covering the most common obstacles companies face when adopting IBP. 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?

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5 Tips for Achieving the Most Out of Your Supply Chain Data

GlobalTranz

In a recent study, MIT found that companies that focus on 5 key initiatives to improve their supply chain data can have a big impact on their bottom line. Obstacles to fully utilizing analytics included inaccurate data , cost, and lack of timely data. Supply chain data initiatives need a top-down mandate.

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Using Predictive Analytics For Better Supply Chain Resilience

Blue Grace Logistics

Improving predictability in outcomes is valuable, but ensuring your supply chain is nimble enough to act on the data is even more so. We explore how predictive analytics and big data with human sentiments can add value and amplify their supply chain strategies. The presence of data throughout the supply chain is vital to its evolution.

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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. This means that you can target very specific parts of your demand data and dynamically run different scenarios in those conditions to measure its effect.

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Blockchain in Supply Chain: 2 Ethereum-Based Projects That Demonstrate How Blockchain Can Improve Supply Chains

GlobalTranz

Ethereum shares some common features with Bitcoin, including how it’s mined by computers and codifies unique data that can be used to track everything from transactions to an exchange of goods (more on that below). a pair of jeans that didn’t come from a sweatshop, for example. Blockchain in supply chain changes that.

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7 Pitfalls of Stalled IBP Initiatives and How to Overcome Them

AIMMS

We recently held a webinar with our partners at Oliver Wight to address these questions, covering the most common obstacles companies face when adopting IBP. 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?

article thumbnail

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. This means that you can target very specific parts of your demand data and dynamically run different scenarios in those conditions to measure its effect.