This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Geopolitical events. The definition of agility and resilience will continue to evolve. The creation of a new digital ecosystem has enabled these and other changes that will shape the definition of supply chain agility and resilience in the 2020s and beyond. Natural disasters. Tariffs and trade regulations. The rise of ecommerce.
Each presentation was exceptional, and the event viewed ESG from a holistic but pragmatic perspective. The FLR adopts the International Labor Organizations definition of forced labor and mandates the European Commission to issue guidelines by June 2026 to aid compliance.
Smart factories use IoT-enabled technologies like sensors and smart machines to generate data, often in real-time, to improve information about production processes and help decision-making. Together MOM and MES provide the intelligent systems to collect, deliver and analyze production data to empower industry strategy and smart factories.
AMSTERDAM – July 21, 2021 – To facilitate implementation of its just-in-time (JIT) port call standards, DCSA has released interface standards and messaging API (application programming interface) specifications for the first 18 event timestamps defined in its JIT port call datadefinitions.
Bouncing back more quickly, said experts, will require supply chain managers to turn to new ways of managing the supply chain, including using Internet of Things (IoT) data, analytics and machine learning (ML). An AI system needs to be fed data sets to learn how to behave and react. And again, data quality is a huge concern. “The
When you’re in the market for a TMS, it’s important to look beyond terms like SaaS or cloud in order to really understand your hosting options, how the data model will enable better business efficiencies and service, and the ease of integrations. Data Models Influence Flexibility. This is a true multi-tenant SaaS offering.
Latest release of DCSA’s Just-in-Time Port Call Programme provides interface standards and API definitions for all 50 port call event timestamps. The interface standards allow carriers, ports, terminals and other service providers involved in a port call to exchange eventdata in a uniform way, enabling automated data exchange.
ARC’s definition is that a supply chain collaboration network is a “collaborative solution for supply chain processes built on a public cloud – many-to-many architecture – which supports a community of trading partners and third-party data feeds. Industry and government data can be used to increase forecast accuracy.
Event-driven IBP – technological capabilities to monitor internal and external events (Supply Chain Control Tower) in real time. Contextualize and quantify event impact and be able to trigger re-plan in an integrated supply chain planning solution to create an executable and feasible plan.
Definitely no to the last one!) It has become a term applied to applications that can perform tasks a human could do, like analyzing data or replying to customers online. The conference is seen as the founding event of AI. Machine Learning is just that – a machine or program that can learn from data. When did it start?
That said, the path to supply chain visibility is filled with questions – from how to achieve it; what tools are required; to – most significantly – what insight is the business looking for; what data do you need and have available; and how to connect disconnected data sources and convert those into automatic action. from containers).
Supply chain planning involves interaction with different types of information based on internal and external data sources. These data sources are often spread across multiple platforms and come in various formats. Planners spend their precious time collecting and synthesizing the data to drive insights.
That said, the path to supply chain visibility is filled with questions – from how to achieve it; what tools are required; to – most significantly – what insight is the business looking for; what data do you need and have available; and how to connect disconnected data sources and convert those into automatic action. from containers).
Now, there’s a lot of definitions out there, but here’s how I define it. Generative AI is first trained on a foundational model and then fine-tuned with human feedback and additional data. Its responses are based on data it has consumed and a resultant powerful prediction mechanism. What is Generative AI?
The conference as a whole was fantastic, from the location and networking events to the conversations I had and sessions I attended. C-Suite Themes For the C-Suite, there are three main themes where supply chains make a definitive impact: increased customer retention, revenue growth, and lower costs. According to Ms.
The trouble with this definition is that it doesn’t explain what exactly changes in supply chain management—that is, what gets “transformed”—when digital technologies are adopted. Since there didn’t seem to be a clear definition of digital supply chain transformation available, I developed one from first principles.
Supply chain collaboration networks, which provide wide ranging visibility to events occurring upstream and downstream in supply chains, can help companies be more agile. An SCCN can also access pertinent third-party data feeds. The information exchange is supported by data centers that the company owns and runs.
In my Logistics Viewpoints article in January 2021, “ The New Definition of Supply Chain Agility and Resilience in an Unpredictable World ”, I highlighted that modern supply chains must be built on a foundation of extreme agility and responsiveness. The Key to Long-Term Success: Build Agility, Resilience and Profitability Together.
Let’s start with a definition: any device that can perceive its environment and takes actions that maximize its chance of success at some goal is engaged in some form of artificial intelligence (AI). It is also worth pointing out, that based on this definition, not all forms of machine learning are particularly complicated.
As a general definition, a 3PL helps a company to get its offering, conceived in place A, into the hands of its customers in place B. The solution is to back up, figuratively speaking, to the general definition of the need and see how overall trends and developments in the world could make this need map onto other, different solutions.
Definitions of agility, resilience, visibility, and end-to-end collaboration are all very much tied together. And agility is about reacting quickly and hopefully effectively to the actual disruptive event. But the event might not be disruptive at all if you had planned for it. Resilience is About Planning for Agility.
This is definitely beneficial to any supply chain as it simplifies and speeds up communication. Supply chains are part of a complex global system where data and information are shared through cyberspace. Therefore, it is critical that logistics companies invest in ways to safeguard sensitive data and information.
CargoNet recorded 1,778 supply chain risk events across the United States and Canada in 2022, an increase of 15 percent from 2021. They estimate $223 million in cargo was stolen across all theft events in 2022. Events that involved the theft of cargo increased by 20% year-over-year. This could be a slow, messy year for freight.
But first – let’s get a definition: What is inventory demand forecasting? Historical data trends and market knowledge of how demand can fluctuate are often used to forecast inventory demand. If you analyzed the historical sales data of every product in your warehouse, you’d find that the demand for different items varies considerably.
The increased digitalization of our lives has meant that now more than ever, personal data is being shared and transacted, often without people’s consent. Repeated instances of data breaches has prompted governments and organizations to implement robust cybersecurity solutions.
Our business development & leadership teams have been all over the world, attending major blockchain conferences and hosting a suite of events specific to shipping and logistics. And most recently, we attended Data CIO in Dubai, where we won the Business IT Innovation Award. . The past few months have been a whirlwind! Conclusion.
Our business development & leadership teams have been all over the world, attending major blockchain conferences and hosting a suite of events specific to shipping and logistics. And most recently, we attended Data CIO in Dubai, where we won the Business IT Innovation Award. . The past few months have been a whirlwind! Conclusion.
There were definitely some challenges, like the last-minute winter storm that snarled air travel in many parts of the U.S. But that issue was not the result of a supply chain crisis, shortage, shortfall, or systemic issue – it was a result of a natural event. Department of Commerce data showed the U.S. Just today, U.S.
The Role of Data Analytics in Supply Chain Management | Image source: Pixabay This article describes the transformation that data analysis and the supply chain are fostering and how it will impact business intelligence. Intelligence-driven businesses are interested in supply chain management and data analysis.
If, like many business leaders, you’re looking for ways to make your supply chain more resilient to major disruptions and black swan events, you might like to consider initiatives based on the following guiding principles. Accelerating and streamlining the flow of data and information through the supply chain. Lessons From a Pandemic.
The Covid-19 pandemic has served as a pivotal event in this, accelerating our need for digital readiness, resilience, and agility. We have huge amounts of data at our disposal and with the expansion of real-time visibility even more data will become available. Analytics & Real-Time Supply Chain Optimization. Sustainability.
This example generates a huge amount of data that can leverage in the supply chain. But, the same data can have a drastic impact on transportations planners and agencies around the globe. The Standard Definition & Components of Automation: Today: There is a standard definition of automation in the supply chain.
Back in the day, businesses relied on primitive computer networks to conduct electronic transactions through EDI (Electronic Data Interchange), enabling them to share invoices, order forms, and shipping confirmations. In 1994, Netscape developed SSL (Secure Socket Layers), a protocol that increased the safety of internet data transmissions.
The action: prioritize carriers within the routing guide based on which are preferred for shipments, depending on origin/destination data. A good routing guide identifies the process necessary when errors occur, damage happens, or other events result in problems. Request a SONAR Demo. Request a SONAR SCI Demo.
ARC’s definition of TMS is freight centric. OTM and GTM share a common data model, user interface, workflow, reporting, and integration. However, when you look at the proportion of respondents that achieved negative results (increased freight costs) or no improvement in their freight spend, TMS appears to be the less risky investment.
ARC’s definition of TMS is freight centric. OTM and GTM share a common data model, user interface, workflow, reporting, and integration. However, when you look at the proportion of respondents that achieved negative results (increased freight costs) or no improvement in their freight spend, TMS appears to be the less risky investment.
Direct mail, while not as eco-friendly and far more expensive, can be used to deliver a coupon to infrequent shoppers, or communicate big events, such as an annual sale or new product drop. You do you and look at the data to determine what sending profile best fits your client base.
E2open Announces Definitive Agreement to Acquire Zyme. Data and predictions have been all over the map. Data from transportation procurement events mirror these results. UPS Joins Top Alliance To Create Blockchain Standards For Logistics. Elemica Delivers Predictive Visibility to Global Industrial Supply Chains.
ARC’s definition of TMS is freight centric. OTM and GTM share a common data model, user interface, workflow, reporting, and integration. However, when you look at the proportion of respondents that achieved negative results (increased freight costs) or no improvement in their freight spend, TMS appears to be the less risky investment.
By definition blockchain is a decentralized digital ledger that records transactions across a peer-to-peer network. Unlike traditional databases, which rely on a central authority, blockchain uses cryptographic methods to ensure that data is tamper-proof and transparent. can be recorded as a secure transaction.
What is artificial intelligence The definition of artificial intelligence(AI) is one that has evolved with the passage of time. As far as its definition in academic circles is concerned, opinions differ. For the purpose of this article, we will consider this lay man’s definition when talking about AI. What is supply chain?
After a long project, your organization has finally gone live with an ERP system that allows the company to automate and integrate the majority of its business processes , share common data across all functions, and produce and access information in real-time. The truth is that going live is not the end. Degradation.
But for that special class of disruption, the low-probability, high-impact events like natural disasters, epidemics and other upheavals, organizations don’t know how to mitigate the risk and successfully manage their supply chains, and are now trying to find their way through the minefield of issues and challenges with no clear solution.
The US quality guru Joseph Moses Juran (born 1904 in Romania ) divides the supplier quality assurance process into nine steps: definition of the product’s quality requirements, evaluation of alternative suppliers. The definition of this metric is similar to the way it sounds. Cost of quality.
We organize all of the trending information in your field so you don't have to. Join 84,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content