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Supply Chain Optimization: Leveraging Integrated Scenario Planning as a Margin Multiplier

Logistics Viewpoints

Ensuring seamless data flow between these systems for various scenarios can be difficult, compounded by the need to maintain data integrity across different systems and scenarios, requiring continuous data validation, cleansing, and synchronization. Nari Viswanathan is Sr.

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Using Data to Improve Supply Chain Operations

Material Handling and Logistics

Learn how to organize your data operations in alignment with supply chain strategy. Complex supply chains generate more data, which companies can use to drive greater efficiency or engage in innovation that disrupts an entire industry—think Amazon. More data is coming in than ever before.

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Build Resilience in Volatile Freight Environments

FreightWaves SONAR

Aggressive pricing/cost savings strategies have contributed significantly to creating a sustained volatility in the domestic transportation market. From a shipper’s perspective, transportation is a cost center, and the exercise of sourcing trucking capacity is not much different than that of procuring raw materials for production.

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Supply Chain Design Crosses the Chasm

Logistics Viewpoints

The rapid shifts to eCommerce during the pandemic caused retailers and brand owners alike to flex their network nodes (where goods are made and inventories are stocked) significantly. Just a handful of optimization and operations research experts ran models of the network and made recommendations. This capability will be game changing.

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What manufacturers need to know about IIoT

SYSPRO Smarter ERP

In 2018 a Forbes magazine published an article entitled “Every company is a data company” in which the authors urged all companies to use data as a core asset. That is now becoming a reality as businesses come to realize that data is the most significant asset they possess. Growth of IIoT. Quality control.

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Supply Chain Design: A Tool to Help Maximize Value

Logistics Viewpoints

Moreover, this exercise might need to be repeated several times depending on how the war proceeds. To solve this problem, we’ll need to do three things: understand the data, aggregate the data, and define the constraints. First comes the data and how well we understand it. Their time frame was short and resources limited.

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5 Recommendations towards a Resilient S&OP

Logistics Viewpoints

As product flows rapidly shifted and hard baked assumptions about lead times and sourcing locations were put to test, users across many organizations bypassed their planning systems and turned to excel sheets, internal data science teams or non-traditional supply chain vendors who could deliver AI based solutions at a faster turn.