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Modern supply chains are evolving beyond anyone’s expectations due to increased use of cloud-computing technologies, wearables and advanced dataanalysis. A common theme of the 2016 predictions was growth and scalability, so let’s look at how companies are using these technologies as we prepare for the innovations of 2017.
As we close the year of 2015, we want to take a look at some manufacturing trends for 2016. We look at 6 core areas that manufacturing companies will take a long look at as they gear up for a successful 2016. Manufacturers will be able to improve their inventory due to the information presented by both supply chain and operations data.
For example, an analysis carried out by AIR on the potential impact of Hurricane Harvey on regional manufacturing found that, based on percentage of the total potential revenue loss, the top three subsectors are petroleum and coal products manufacturing (37%), chemical manufacturing (13%), and oil and gas extraction (12%).
The shipping industry of 2016 is a gross misrepresentation of what was considered “normal” shipping practices in the 1980s or 1990s. Automatic identification and data capture ( AIDC ) technology will become more prevalent as RFID sensors and Bluetooth technologies are implemented throughout the logistics industry.
Yesterday we began our two part series on 2016 supply chain trends that will drive supply chain management into the future. If you missed the first post, we encourage you to give it a read by visiting the first seven 2016 supply chain trends post here. . Supply Chain Trends 2016: 5 Additional More Areas of Focus.
Research issued by the American Transportation Research Institute (ATRI), the research arm of the American Trucking Associations (ATA) in its most recent “Cost of Congestion” analysis shows that congestion added roughly $74.5 billion in operational costs to the trucking industry in 2016, the most recent year for which data is available.
2016 will be a defining year for the logistics industry , and transportation management practices must adapt to these changes. Outsourcing of Freight Data and Payment Management. Software-as-a-service (SaaS) systems help shippers meet the same criteria in terms of the dataanalysis, analytics, and payment management.
But dedicated managers have found a solution to help improve this part of delivery: data. Data is generated in all parts of last-mile delivery, and analysis of this information can help companies become proactive rather than reactive with their delivery methods. Benefits of Data for Last-Mile Delivery.
Through the use of connected devices and greater abilities to capture data in real time, the concept of end-to-end visibility and improvement thru the use of supply chain analytics has changed. However, the Internet of Things and big data supply chain analytics are allowing manufacturers to monitor performance in near real-time.
Reduced Errors and Need For Reverse Logistics - The ability of robots to log huge sums of data and review this data for errors with pinpoint accuracy will lead to an unparalleled reduction in errors. This will be the result of rapid analysis of delivery-impacting factors, such as weather, traffic conditions, and poor tire pressure.
What happened in 2016. But data transparency within the logistics industry is lacking at best. Take a look at the range in carrier prices for forwarders along one the world’s busiest routes (Shanghai to Long Beach, CA), in a data snapshot from mid-December 2016. Transparency and Overcapacity. ” Market Efficiency.
For the month of April 2022, South Korean shipbuilders saw the most ship orders since 2016. According to new reports and an analysis of market research, South Korea saw 16 new vessels ordered with a total of 820,000 tons. million tons. Compared to China, that is approximately half the total demand seen between both countries.
It has become a term applied to applications that can perform tasks a human could do, like analyzing data or replying to customers online. Machine Learning is just that – a machine or program that can learn from data. In the 2000s, big data came into play, giving AI access to massive amounts of data from various sources.
Once the analysis was done for Year One set up, Year Two was pretty much the same. They gave River Logic cost, lead time, and other data on five factories, and requested they built a validated network model as soon as possible. Analysis and scenario formulation lead time went from weeks to days. It was predictable.
By Lauren Domnick, Chief Data Scientist, Omnitracs As the trucking industry struggles with how to solve the increasing driver shortage, many companies are taking a different approach to recruiting. According to data from Omnitracs, women account for only nine percent of drivers. In the last year, women truckers were involved in 2.77
Here are some excerpts from the press release : According to the report, ATA’s first in-depth examination of the driver shortage since 2015, the driver shortage eased in 2016 to roughly 36,500 – down from 2015’s shortfall of 45,000. “We Recruit more minority drivers : 66.6% and men of other nationalities at 14.8%.
percent in 2016. The sheer amount of data from the Freight Forecast and its subsequent dataanalysis, such as the above-mentioned trucking expenses, give rise to anxiety over how shippers will meet this growing demand. percent per year to a final market share of 18.1 Freight revenue is projected to increase by 74.5
Improving predictability in outcomes is valuable, but ensuring your supply chain is nimble enough to act on the data is even more so. We explore how predictive analytics and big data with human sentiments can add value and amplify their supply chain strategies. The presence of data throughout the supply chain is vital to its evolution.
Driven by consumer adoption of mobile technologies and relentless competition amongst wireless providers, we now have low-cost networks capable of delivering vast amounts of data cheaply, quickly and reliably. In order to work, this vision will need new telematics and compliance solutions that captured data on all aspects of the network.
Descartes’s acquisition of Datamyne in 2016 marked their initial foray into providing a broader trade solution set; a solution said that continued to help clients with trade compliance but also included more strategic trade analysisdata. The solution can also improve supply chain decision making.
In 2017, the top three risks for supply chain management were categorized into three groups: War, terrorism and other geopolitical issues Natural disasters affecting supplier facilities Data security/IT incidents. Here are the complete data representing how many supply chain management professionals perceived these threats as significant.
percent from 2013-2016. Because all of the activity happens in this transportation management platform, several reports and custom analysis can be created. Let Cerasis guide you with a freight invoice analysis or a transportation management assessment and consultation. Here are the details. The growth of the U.S.
million US dollar in 2016. As the chatbots can extract the real-time data and information of the concerned shipments from the entity system, the end-customer can request for delivery status of the product which has been booked. For doing that, chatbots are given the ability to sense and decision making based on predictive analysis.
percent net increase in revenue for 2016 , and as we’ve briefly mentioned past blogs , technologies such as predictive data analytics, virtual reality, smart connectivity and 3-D printing will drive this growth and reshape the global economic competition between U.S. Predictive Data Analytics. The ISM projects a 4.1
The device prevents vehicles from surpassing a certain speed, by harnessing GPS and on-board camera data to determine limits on a specific roadway. Transits declined yet again in December as reservations were further restricted, according to newly released data from the Panama Canal Authority (ACP). December transits fell 4.7%
Much of that growth has been fueled by acquisitions, including four acquisitions in 2016, with more certainly to come this year. The R&D team delivered about 350 product releases in 2016. The limiting factor is still getting timely and accurate data.
According to Aon Benfield’s 2016 Global Climate Catastrophe Report, the world saw $210 billion (USD) in economic losses because of 315 separate natural disasters. In this blog, we’ll go over the economic and supply chain impacts that result from these events and how you can best prepare your supply chain. Monitor for threat.
At the close of 2016, the 21 st Annual Third-Party Logistics Study found the overall use of third-party logistics providers ( 3PLs ) is increasing, but the types of logistics services utilized indicate the industry is entering a shift in how it operates. Global Growth and Use of 3PLs Outpaces Partnerships in North America.
Data collection, analysis, and appropriation will be defining factors for manufacturers this year. The Industrial Revolution gave birth to the concept of statistical quality reporting, the ultimate precursor to all data processing and analysis aspects in business. More Data Is Becoming Available Every Second.
December 5, 2016 was the 225th anniversary of Alexander Hamilton’s report on manufacturing to Congress. Bureau of Economic Analysis, 2015. Bureau of Labor Statistics, Quarterly Census of Earnings and Wages, Q1 2016data ([link]. He was an influential interpreter and promoter of the U.S. Constitution. . 225 years?!
The retail-to-industrial trend is still small -- the report covered just 24 conversions since 2016 -- but it’s growing as a solution to low warehouse vacancy. Demand for warehouse automation will mature in 2022, according to the analysis, but the next few years will bring steady growth in shipments and revenue.
Predictions for transportation management in 2016 highlighted growing stress and concern. Trucking Regulations Exploded in 2016. There were many trucking regulations set to come up for discussion and possible passage by Congress in 2016, but the actual number supersedes even the modest of predictions. and 5 a.m.
In 2016, there were 346 attacks in just one year — that’s an 8.5% In 2016, supply chain terrorism attacks were more widely distributed than in any previous year, with 38% more countries suffering attacks. This year’s report focused on the continual rise in terrorist attacks and how it will continue to affect the supply chain.
Attacks in the Philippines more than doubled from 10 in 2016 to 22 in 2017. By analyzing data 24/7 we can gain insights from crew behavior and near-misses that can identify trends. The shipping industry has learned from losses in the past but predictive analysis could be the difference between a safe voyage and a disaster.".
million pallets were manufactured during the same three-year period, an increase of 12% on FEFPEB’s 2016 study. and 14%, respectively, between 2016 and 2019. FEFPEB is continually seeking to improve the collation and analysis of data on the manufacture, reuse and repair of wooden packaging and pallets.
Here are some details from the press release: With Haven TMS, Haven evolves from a logistics quote marketplace into a full-featured transportation management system (TMS) with collaboration, procurement, and analysis modules. million in premiums for cyber-specific policies in 2016, according to Advisen Ltd., Manufacturers paid $36.9
ERP doesn’t provide enough supply chain management capability Although anecdotes about ERP’s inability to adequately serve the supply chain have circulated for years, there’s now data to back it up. This tool provides an interface to work with shippers using up-to-the-minute data for complete visibility and accuracy.
million TEUs of orders placed in all of 2015, according to data from a sister product of JOC.com within IHS Markit. percent of the in-service fleet, the highest percentage since 2016. In the first half of 2021, ocean carriers have placed new orders for 1.7 The new orders in 2021 bring the cumulative vessel order book to 17.4
In 2016, total e-commerce sales reached $394.9 Visibility in your warehouse requires dedicated asset tracking, data collection, analysis and application, and continuous improvement across all employees and operations. billion, and initial findings suggest 2017 will surpass last year’s sales, reports Scott Stone.
Toyota is using MacroPoint’s data to drive continuous improvement in route designs, manage “external crises” more effectively (e.g. Customs Info in 2014, MK Data Services in 2015 and Datamyne in 2016). winter storms), and work more collaboratively with carriers.
Even Canada, a country that’s not exactly famous for shipping disasters, was virtually cut in half by a single unexpected bridge collapse in 2016. Conversely, network optimization approaches look only at your existing supply chain design, using this data to form a baseline for future improvements.
For example: Japan earthquake 2016. Common supply chain disruptions of the past – supplier performance, forecast errors, transportation breakdowns – used historical data to predict and manage risk. Supply chain disruptions. US-China trade war 2018. Suez Canal blockage 2021. Hidden Risk” suppliers. Review sourcing and suppliers.
million units in 2016 to 13.5 While Gartner notes the benefits of enhancing driver safety, it also recommends investing in related vehicle tracking systems to exploit telematics data and to improve fleet efficiency. The process ranges from data collection, dataanalysis to how the data is used.
Dataanalysis and predictive modeling are just the beginning of the industry’s new bag of tricks. While 2017 was certainly better than 2016, it’s still going to be a slog to get back to the post-recession era. As for technology, the freight industry has undergone a veritable renaissance. What to Watch for .
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