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Gartner: top 8 supply chain technology trends for 2019

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According to Gartner, while many of these supply chain technology trends have not yet been widely adopted, they will have a broad industry impact this year.

Gartner has highlighted the key supply chain technology trends which they warned must not be ignored. Christian Titze, research vice president at Gartner, said: “Within the next five years if half of the large global companies are using some of these technologies in their supply chain operations, it’s safe to say that the technologies will disrupt people, business objectives and IT systems.”

The top 8 supply chain technology trends in 2019 are:

#1 Artificial intelligence (AI)

According to Gartner, AI technology in supply chain operations is all about augmenting workers. Thanks do developments in self-learning and natural language processing, AI is now advanced enough to automate numerous supply chain processes such as predictive maintenance and demand forecasting.

#2 Advanced analytics

Thanks to the increase in IoT data and extended external data sources such as weather or traffic conditions, analytics is going to get a lot more advanced. Gartner predicted that organisations will be able to anticipate future scenarios and make better recommendations in areas such as supply chain planning, sourcing and transportation.

#3 IoT

Gartner has reported seeing more supply chain practitioners exploring the potential of IoT. However, according to Gartner, new IoT applications involve more than just passive sensors.

#4 Robotic process automation (RPA)

Excitement has been building around RPA for some time now, and its place in the enterprise has seen a lot of maturing this year. Like AI, RPA, according to Gartner, is about augmenting workers.

#5 Autonomous things

Autonomous things use AI to automate functions previously performed by humans, such as autonomous vehicles and drones. They exploit AI to deliver advanced behaviours that interact more naturally with their surroundings and with people.

#6 Digital supply chain twin

A digital twin is a digital replica of a physical asset, whether that is a product, person, place or system.

#7 Immersive experience

Augmented reality (AR) and virtual reality (VR) technologies have long been touted as the next big thing. For all its promise mass adoption by enterprises have, in reality, always seemed to be on the horizon.

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Using Blockchain to Secure the Medical Supply Chain

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Imperial Logistics leverages One Network’s Real Time Value Network cloud solution to manage the entire distribution process and help ensure the delivery of clean drugs to patients using Blockchain.

One Network Enterprises, the global provider of multi-party digital network platform and services, has announced that leading logistics provider Imperial Logistics is using One Network’s cloud platform to provide an end-to-end fulfillment backbone that manages the entire distribution process of essential medical supplies.

The solution includes serialization and authentication of critical drugs such as antimalarial medications.

By establishing One Network’s Real Time Value Network™ (RTVN) and serialization and tracking solutions for country-wide fulfillment, Imperial Logistics is safeguarding the distribution of medication.

The solutions enable Imperial Logistics to increase visibility and security throughout the global pharmaceutical manufacturing and supply chain process.

“Counterfeit or contaminated medication that contains the wrong or no active ingredients has long plagued the global, pharmaceutical supply chain. New regulations are coming into effect around the globe and mandates such as mass serialization and ‘track-and-trace’ are quickly becoming the worldwide standard for regulators,” said Dr. Iain Barton, Healthcare Strategy Executive at Imperial Logistics.

RTVN’s chain-of-custody and serialization authentication capabilities enable Imperial Logistics to track the control, transfer, management, and distribution of antiretroviral and antimalarial medication and supplies in real time, as they flow throughout the supply chain all the way to the individual patient.

The solution will also be used to comply with incoming national regulations in South Africa and other countries.

Read more at Using Blockchain to Secure the Medical Supply Chain

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How can Lean Six Sigma help Machine Learning?

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Note that this article was submitted and accepted by KDnuggest, the most popular blog site about machine learning and knowledge discovery.

I have been using Lean Six Sigma (LSS) to improve business processes for the past 10+ year and am very satisfied with its benefits. Recently, I’ve been working with a consulting firm and a software vendor to implement a machine learning (ML) model to predict remaining useful life (RUL) of service parts. The result which I feel most frustrated is the low accuracy of the resulting model. As shown below, if people measure the deviation as the absolute difference between the actual part life and the predicted one, the resulting model has 127, 60, and 36 days of average deviation for the selected 3 parts. I could not understand why the deviations are so large with machine learning.

After working with the consultants and data scientists, it appears that they can improve the deviation only by 10%. This puzzles me a lot. I thought machine learning is a great new tool to make forecast simple and quick, but I did not expect it could have such large deviation. To me, such deviation, even after the 10% improvement, still renders the forecast useless to the business owners.

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How IoT logistics will revolutionize supply chain management

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As with many other areas of the economy, the digital revolution is having a profound effect on delivery logistics.

The combination of mobile computing, analytics, and cloud services, all of which are fueled by the Internet of Things (IoT), is changing how delivery and fulfillment companies are conducting their operations.

One of the most popular methods for fulfilling deliveries today is through third-party logistics, which involves any company that provides outsourced services to move products and resources from one area to another. Third-party logistics, or 3PL, can be one service, such as transportation or a warehouse, or an entire system that maintains the whole supply chain.

But the IoT is going to change how this process operates. Below, we’ve outlined the impact of IoT on supply chain, and how IoT management will transform inventory, logistics, and more.

Internet of Things Supply Chain Management

One of the biggest trends poised to upend supply chain management is asset tracking, which gives companies a way to totally overhaul their supply chain and logistics operations by giving them the tools to make better decisions and save time and money. Delivery company DHL and tech giant Cisco estimated in 2015 that IoT technologies such as asset tracking solutions could have an impact of more than $1.9 trillion in the supply chain and logistics sector.

And this transformation is already underway. A recent survey by GT Nexus and Capgemini found that 70% of retail and manufacturing companies have already started a digital transformation project in their supply chain and logistics operations.

Asset tracking is not new by any means. Freight and shipping companies have used barcode scanners to track and manage their inventory. But new developments are making these scanners obsolete, as they can only collect data on broad types of items, rather than the location or condition of specific items. Newer asset tracking solutions (which we’ll get into shortly in the next section) offer much more vital and usable data, especially when paired with other IoT technologies.

Read more at How IoT logistics will revolutionize supply chain management

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5 Critical Supply Risk Mitigation Principles for Your Sourcing Process

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Supply chain risk management (SCRM) is becoming a top priority in procurement, as organizations lose millions because of cost volatility, supply disruption, non-compliance fines and incidents that cause damage to the organizational brand and reputation.
Bribes to shady government officials, salmonella in the spinach and forced labor in the supply chain can all result in brand-damaging headlines that can cost an organization tens of millions in sales and hundred of millions in brand damage. And while reputation may only be important for name brands, cost volatility and supply disruption affect all manufacturers.

In fact, in the latest 2015 study by the Business Continuity Institute, supply chain disruption doubled in priority relative to other enterprise disruptions (48% of firms are concerned or extremely concerned). Roughly three-quarters of respondents said they had at least one disruption, and the same amount lack full visibility of their supply chains.

In the same study, 14% had losses from supply chain disruptions (e.g., natural hazards, labor strikes, fires, etc.) that cost over €1 million, and these disruptions can easily go up to nine figures. For example, Toyota estimates the costs for the recent Kumamoto earthquakes to be nearly $300 million. Imagine being out of stock on a product line that does $12 million in annual sales for two months. That’s $2 million in immediate lost sales and longer-term brand damage.

Risk management, and what is necessary for ongoing risk management, never gets operationalized, and as new suppliers get added, supply shifts and supply chains change, new risk enters the picture — risks that go undetected unless risk management is embedded in all key procurement activities, including sourcing. It is important to remember that:

1. When You are Sourcing, You are Really Changing Your Supply Chain Network

2. Supplier Risk is Only One Aspect of Supply Chain Risk

3. Your Sourcing Criteria Must Be ‘Protected’ and Risk Must Be Factored In

4. You Need to Cost the Risk” and Also Get It in the Contract

5. You Must Design a Monitoring System That is Part of Onboarding

Read more at 5 Critical Supply Risk Mitigation Principles for Your Sourcing Process

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