Brand Communication: When Efficient Isn’t Effective

Align your teams, identify a strong brand story, and create passionate storytellers with these four steps.

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Interos Inc.

Brexit: What Does it Mean For Supply Chains?

With a no-deal Brexit potentially ahead, Jennifer Bisceglie, CEO of Interos, explains what it could mean for global supply chain networks.

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Milestone Equipment Holdings

Buried in Retail Returns?

The days of waiting a week for delivery of an item purchased online or dealing with restrictive return policies are long gone.

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Argo Consulting

Is it Time to Move Production?

Argo Consulting experts weigh in on the economic case for moving production away from China and the benefits of using a total cost analysis.

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Cybersecurity in Manufacturing Plants

Manufacturers need to incorporate hands-on cybersecurity training that will help employees understand how to protect the sector from attacks.

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Alvarez & Marsal

Why It’s Time to Re-shore Production

In the midst of an ongoing trade war, how should business leaders make supply chain decisions? Customers, customers, customers.

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Rahco Rubber

Onshoring Amid IMO 2020 Regulations

New environmental regulations point to shipping delays, higher costs and supply chain vulnerabilities for OEMs in the New Year.

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Infosys Consulting

U.S. – China Trade Uncertainty

Is the trade war a silver lining for manufacturers? It may be just what it takes to push manufacturers to make changes to be future-ready.

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Ten Ways to Secure Supply Chains

Concern is rising about supply chain security, and it’s time to take steps to defend against potentially devastating email attacks.

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Confronting Supply Chain Hazards

Global supply chains are essential, but vulnerable.

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Rethinking IIoT Predictive Maintenance

Network sensors with data analytics can achieve the holy grail of condition-based maintenance predicting when equipment is likely to fail.

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ThroughPut Inc.

Manufacturing Must Be Data-Driven

Supply chains have been slow-moving in terms of innovation. Manufacturers can only become data-driven after a systematic transformation.

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