Remove supply-chain-pain-points-life-sciences
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Adapting to Manufacturing Disruption: A Strategic Life Sciences Webinar Series

QAD

Watch our on-demand, 4-part series on how to be an Adaptive Manufacturing Enterprise with Bart Reitter, VP Life Sciences at QAD, Inc., Life science manufacturers need a r esource, quality and supplier management solution for the journey from pre-approval to IPO. and Greg Cathcart, CEO of Excellis Health Solutions.

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Supply chain pain points: Life sciences

Kinaxis

by Alexa Cheater 8 life sciences-specific challenges and how to overcome them. As I mentioned in the first blog of this supply chain pain points series, working in supply chain is tough business. Every company’s supply chain is unique, with its own set of challenges and solutions.

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When Do You Need a Quality Management System?

Arena Solutions

Most life sciences companies start with paper because you must document what you are doing. We track what drives our customers to buy a solution at the point in time they do—their timing drivers. For our customers, we’ve identified five primary timing drivers: Proactive pain avoidance. Proactive Pain Avoidance.

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Ho Ho No! Port Congestion and Supply Chain Delays Threaten to Disrupt Christmas

Resilinc

We’re hundreds of containers behind where we should be at this point,” said the CEO of a firm selling Christmas trees and other holiday décor. COVID resurgence prolongs supply chain pain. Dozens of industries including automotive, life sciences, high tech, home goods, and cosmetics have been impacted.

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The Supply Chain Response to India’s Second Wave of Covid!

Supply Chain Game Changer

Subscribe to Supply Chain Game Changer. 10 Vital Supply Chain Lessons from the Coronavirus Pandemic! Once the second wave had hit India in April 2021, the healthcare system was stretched to the breaking point and India witnessed a huge shortage of kits, drugs, liquid oxygen, oxygen tanks and concentrators.

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It Ain’t Easy Being Easy!

Supply Chain Insights

The level of sophistication in the consumer chain has advanced a thousand-fold in the past decade alone. Decisions around cloud versus on premise versus mobile came at a price that often meant financial pain, bruised egos, and in some cases, hard personnel actions to be taken.

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Confessions of an Industrial Data Scientist: What Your Corporate Data Science Team Won’t Tell You About Your Data Quality

ThroughPut

But they are a good starting point to address some misconceptions. In this article, I will share some of my growing pains and experiences around messy real-life industrial datasets that you won’t find in a data science handbook or curriculum. Garbage in Garbage Out” (GIGO).

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