Supply chain – predictions for 2018 trends

When Elon Musk recently announced that Tesla would start building electric semi-trucks that would have 500-mile range and come with a version of Tesla’s Autopilot driving aid, the world realized it wasn’t a matter of if, but when these new trucks would be hitting the highways. After all, this is the same guy who said he was sick of sitting in traffic and launched the Boring Company, which is now tunneling beneath the gridlocked freeways of Los Angeles. And let’s not forget Musk’s SpaceX, the Hyperloop and Tesla – all radically different companies predicated on technology innovation, creativity, disruption and long term commercial viability.

The pace of innovation is picking up steam at an exponential rate. With advanced hardware, software and connectivity becoming accessible and cost effective on a global scale, we’re experiencing an innovation shift from desiring “better gadgets” to discovering entire new business categories built around technology. The implications for consumers is exhilarating and at times terrifying. The implications for businesses is terrifying and at times exhilarating.

Technology has become fully embedded in supply chain management – just go to any supply chain conference and you will find agendas dominated by tech talk. Robots, self-driving vehicles, electric trucks, blockchain, the Internet of Things (IoT), and new mobile-enabled categories are all poised to explode onto the scene in one form or another. It’s hard to predict what’s real and what will fade away, but expect 2018 to become a year of heavy innovation for supply chain leaders, even if it’s experimental. But…

Read more at Supply chain – predictions for 2018 trends

If you have any opinions, leave it below at the comment box. Subscribe us to get updates.

Share on FacebookShare on Google+Share on LinkedInTweet about this on TwitterEmail this to someone

How IoT logistics will revolutionize supply chain management

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

We would like to know what you think about this topic, share your opinions with us in the comment box. If you need assistance, you can contact us via email. You can subscribe us to be the first one to get the latest article.

Share on FacebookShare on Google+Share on LinkedInTweet about this on TwitterEmail this to someone

Supply Chain Analytics: How Manufacturers Can Get The Most Value Out Of Their Automated Data Capture Technology

There are a prolific amount of data sets and data sources available that can help overcome the aforementioned challenges. The problem is that “big data” is coming in from so many varied sources, and manufacturers simply do not know what to do with it or how to use it. The answer lies in supply chain analytics. With the right analytical tools, manufacturers can obtain actionable, meaningful, and supported insight from available data in order to make better business decisions. When it comes to AIDC, supply chain analytics are most useful in two chief areas: device optimization (the technology itself) and labor management (those who are using the technology).

AIDC Device Optimization

With supply chain analytics, manufacturers can receive timely and relevant feedback about their AIDC platform to determine how the technology is performing – feedback beyond what is provided by a typical Mobile Device Management solution. Through this insight, users can better understand the underlying causes of inefficiencies, identify areas for continuous improvement, perform predictive analysis, and more. For example, through dashboard and reporting tools, manufacturers can easily see device utilization data to determine user adoption rates. They can monitor battery performance of their devices in the field to prevent downtime. Or, they can even make sure that the right tools are available at the right time. As a result, manufacturers can optimize their mobile deployments to attain additional ROI.

Labor Management

The second component to this equation involves labor management. Using supply chain analytics, it is possible to match the right tools with the right people, and the right people with the work. Analytics platforms accomplish this by gauging and managing the labor resources that use the technology in terms of measurement of activity benchmarking, engineered labor standards, and dashboard reporting. These tools take into consideration production data (volume), integrated with labor, cost, customers, and time data.

Achieving Analytics Success

Supply chain analytics tools can provide practical and fully actionable (fact-based decision making) information to help optimize the supply chain from an AIDC and human capital standpoint. Along with the right AIDC tools and support organization behind those tools, supply chain analytics can assist in driving more revenue, reducing your cost structure and improving the experience of your customers and your workforce. Yet, this is only a piece of the supply chain analytics puzzle. Looking forward, manufacturers will continue to extend the capabilities of analytics tools to gain insight into the overall performance of the manufacturing facility. With the influx of the Internet of Things (IoT), more data points are available than ever before, which allows manufacturers to gauge the efficiency of a particular production line or overall equipment effectiveness (OEE).

Read more at Supply Chain Analytics: How Manufacturers Can Get The Most Value Out Of Their Automated Data Capture Technology

Do you have any opinions about this topic? Please share with us in the comment box. Thank you.

Share on FacebookShare on Google+Share on LinkedInTweet about this on TwitterEmail this to someone