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Executives at Blue Yonder refer to this as a “cliff event.” To avoid a cliff event, Blue Yonder has proceeded by turning its supply chain applications into applications that are part traditional software code and part microservices. Blue Yonder, for example, has created a microservice for transportation optimization.
of events and respond accordingly. Clarity of Impact: Context helps planners understand the significance of an event. For example, a warehouse inventory discrepancy may only matter if it affects high-priority orders or strategic customers. For instance, detecting a delay in a shipment is not enough.
Understand the role of AI in logistics through examples like AI assistants and supply-demand prediction tools. Explore Trimble’s strategies for improving productivity by addressing the fragmented nature of the transportation industry.
The quarter was particularly impressive given, as you know, we were, a victim of a cyber ransomware event. Returns, Mr. Tollefson pointed out, is an example of an application that must have the network at its core. When that occurs, the deal sizes grow. Deal size almost doubled year over year. This business was up 5x year-over-year.
An event upstream in a different country or region can cause considerable disruption downstream. The COVID-19 pandemic is an extreme example of how this unfolds in practice. Today's supply chains are networked, global ecosystems. How prepared are supply chain teams to react and recover from a planning maturity stance?
Let me profile a company – I have an actual company in mind, but this one is only a concrete example. For example, are there metrics or line management expectations that run counter to moving continuously toward 1:1 production at takt? If improvement only happens as an event, then it is, by definition, not “continuous.”
For example, with a data gateway, a supply planner gains accelerated access to customer orders, inventory levels, and transportation schedules, all in one place, to increase the user experience of making the right choice to identify inefficiencies and make better, more informed decisions.
An iGPU (integrated graphic processing unit) is a current example. As an example, if we have congested lanes, the system will automatically flag that we have a potential risk of delay based. For example, we’re working on telling the solution that it has a budget. I’ll give you an example.
For example, adding a new workflow to accommodate a different order fulfillment strategy or scaling the system to handle increased volume during peak seasons can become a time-consuming and expensive process.
The resilience of your supply chain is determined by its structure and operations, whether we’re dealing with major immediate events like a pandemic or gradual systemic changes to your business environment over time. Typically it involves carrying extra inventory and hiring more workers than absolutely necessary.
For example, flexible systems allow warehouses to shift resources seamlessly between e-commerce and business-to-business (B2B) operations, enabling smooth transitions between high-demand cycles for different clients. Flexibility enables these warehouses to customize workflows and systems to accommodate their clients diverse needs.
For example, numerous ports are still severely congested today. Weather events will continue to impact in 2025. Gulf exporters that are shipping pretty much anywhere that goes via transshipment. The situation is not very different at destination ports either. Carriers were also advised that it wont be as easy as turning on a switch.
.” In the background, also in the early 90s, Boeing was beginning to experiment with things like 5S and “Accelerated Improvement Workshops” (AIW) (aka kaizen events). The structural designs were far more tolerant of production variation, for example. Most of these were small-scale tactical affairs.
For example, if an employee works 40 hours at regular pay plus 10 hours of overtime, they will not pay federal income tax on those overtime hours. This is particularly important during periods of heightened security needs, such as holidays, major events or during peak business seasons.
For example, if delivery times consistently exceed targets, further analysis may reveal specific routes that require optimization or additional resources. For example, if delivery times consistently exceed targets, further analysis may reveal specific routes that require optimization or additional resources.
MODEX 2024, held in Atlanta, Georgia, from March 11 to 14, attracted more than 35,000 attendees and featured over 150 educational sessions, keynote speakers, and networking events. Here are some of the examples that caught our attention. They can also work alongside humans or independently, depending on the task and the environment.
The expansion, examples and explanations are my interpretation. One key indicator – if you have put in a technical solution (like “standard work” or “5S” for example), but then seen it erode, then you are probably in adaptive territory. A new ERP system is a prime example. Whose Work Is It?
These solutions use natural language processing, for example, to read online publications and other data sources, make sense of what they read, contextualize the data into information, and report supply chain disruptions caused by weather, geopolitical events and other hazards in near real-time.
Companies can also test-drive their supply chains by introducing the uncertainty of events that are difficult, if not impossible, to predict with accuracy. These events can range from minor supply disruption or canceled shipments to significant black swan events. suppliers impact your ability to deliver.
Discover capability gaps and create sourcing events Seek and discover what capabilities the organization may be lacking, such as vulnerabilities or inefficiencies in transportation or supplier capacity. By identifying these gaps, you can create sourcing events to close them. <br>- Organize sourcing events to address gaps.
12,000 SAP customers and partners attended the event, and another 15,000 watched remotely. I might tell Alexa, for example, “Play the station Smooth Jazz!” For example, when GenAI is used to write job descriptions, aggregated anonymized customer data can improve the results. In contrast, Joule is Business AI.
A one-number forecast, for example, looks across the range of demand that might emerge in a period and decides to create a forecast that is mid-way between the most and the least demand that is apt to emerge. For example, in a trip to the airport, there is a chain of events that determines whether a person will arrive on time.
A good KPI dashboard can show you for example, the difference between planned and actual kilometers for each route. It also allows them to communicate proactively with customers in the event of vehicle maintenance issues, heavy traffic, or other conditions that might delay delivery.
Buying organizations use this technology to monitor and analyze supplier risk events in real-time. These are big data platforms that monitor news sources and assorted databases from governments, financial institutions, ESG NGOs, and other sources to detect when a negative event has occurred or may be about to occur.
It was our job to teach our continuous improvement people how to do that coaching and assisting – beyond just running kaizen events that implement tools. Here’s an example: Say your plant has a set of rules about how fork trucks are to be operated – speed limits, staying out of marked pedestrian lanes, etc.
Another example of data normalization is accounting for lost sales due to stockouts or waste of perishable products due to overstocking of inventory. For example, the demand for the Chocolate Peanut Butter Cup will behave much more similarly to the flavor of Chocolate than Rainbow Sherbert. Wouldn’t it be cool to know within minutes?
For example, running a batch process that now takes 8 hours instead of 12 does not translate into supply chain agility. When evaluating new solutions, look for a unified data model that combines all the supply chain planning and manages real-time event data internally and externally.
These discussions ensure that, in the event of a security breach, both immediate and long-term responses are swift and effective, minimizing potential damage and downtime. Understand where the data resides and the measures in place for at-risk data is foundational to securing logistics and warehouse operations against external threats.
Agility can also reflect a company’s ability to effectively deal with unexpected constraints caused by strikes, earthquakes, political strife, and a variety of other events. So, for example, a manufacturer knows what it has sold to a retailer. Machine learning is particularly effective when it also uses external downstream data.
Consider a planner in Brazil working with the previous lead time prediction example, who has forgotten how to update the parameters. Sometimes hilarious examples of its “hallucinations” illustrate its failure to understand ( My Dinners with GPT-4 by Justin Smith-Ruiu is one of my favorites).
AI algorithms process this vast amount of data for root-cause analyses and alerts, for example, lower UARs than expected, high forecast bias, and low forecast value-add. For instance, you can see the full history of imports, exports, edits at the userID level, stage in the workflow, time of transaction, and reason codes for changes.
For example, the grocer released its first report on corporate social responsibility efforts last year. Until July 18, Walmart is offering Walmart+ memberships for $49 a year, or half off the usual $98 fee. Lidl’s partnership with WWF builds on previous commitments to achieve a more sustainable future.
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