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How are companies leveraging scenario modeling for network design and optimization ? The company modeled scenarios and performed simulations in AIMMS Network Design Navigator with all their products grouped together. Another use case we see for scenario modeling in the current context is evaluating new sourcing locations.
Lets break it down with some examples that hit home: Supplier Diversification : Reflecting on the disruptions caused by the pandemic, companies heavily reliant on Chinese suppliers faced significant challenges. An automotive company I collaborated with conducted detailed modeling of potential tariff impacts on semiconductor supply chains.
How are companies leveraging scenario modeling for network design and optimization ? The company modeled scenarios and performed simulations in AIMMS Network Design Navigator with all their products grouped together. Another use case we see for scenario modeling in the current context is evaluating new sourcing locations.
When applied to S&OP and IBP, modeling and optimization enable you to balance out scenarios and perform what-if analyses so you can analyze how these different scenarios will affect your inventory and/or cost. JBS offers a great example of how you can support your IBP and S&OP process with optimization.
The bullwhip effect is one example of this disruptive effect, when small changes in demand cause huge demand spikes downstream. Table 1 describes a few examples of these types of risks. Examples of disruptive risks are suppliers going out of business or shipwrecks that result in the loss of cargo containers.
Our recent webinar shared 3 must-haves for companies to improve their S&OE capability. In this blog, we will cover some commonly asked questions about S&OE and S&OE applications, based on what we heard from our webinar audience. We start developing the model based on extracts of system tables and separate files.
When applied to S&OP and IBP, modeling and optimization enable you to balance out scenarios and perform what-if analyses so you can analyze how these different scenarios will affect your inventory and/or cost. JBS offers a great example of how you can support your IBP and S&OP process with optimization.
Air cargo for example, though continuing to make digital strides, is still behind – and is often compared to – passenger travel where digitized capacity, pricing and online bookings have been around for decades and is in some ways the digitalization template air cargo is referencing.
Organizations must take the following steps to bring departments together to create truly resilient and sustainable supply chains: Leverage external data to sense market shifts Look to external causal factors and forecasting models to identify market shifts. Impact ESG at the point of decision Move from passive reporting to active impact.
As we discussed in our recent Supply Chain webinar, this is not an easy task if you have a lot of fluctuating demand and uncertainty in your production process. It was not a dynamic process, in the sense that it was impossible for somebody to model things, create scenarios and look at optimization opportunities.
Rapid prototyping is a group of techniques used to quickly fabricate a scale model of a physical part or assembly using three-dimensional computer aided design (CAD) data. Rapid prototyping is the speedy creation of a full-scale model. The word prototype comes from the Latin words proto ( original ) and typus (model ).
In a recent webinar hosted by DC Velocity and CSCMP , Target’s Director of Logistics, Joe Delussey, sat down with project44’s Senior Vice President, Jason Duboe, to discuss how the best transportation operations build loyal and happy customers. Digital Transformation Drives Effective Organizational Change.
Though both warehouse and distribution center management operations typically take place in large warehouse environments, the term “warehouse” refers to a traditional product storage model, and “distribution center” refers to the more contemporary and high-velocity order fulfillment model. Take Advantage of Technological Innovation.
As we discussed in our recent Supply Chain webinar, this is not an easy task if you have a lot of fluctuating demand and uncertainty in your production process. It was not a dynamic process, in the sense that it was impossible for somebody to model things, create scenarios and look at optimization opportunities.
Alternatively, this model will be applied to enhance the use of store pick up, which has been used extensively by Wal-Mart to create a comprehensive omnichannel environment. Furthermore, this model of e-commerce and omnichannel solutions has enabled Wal-Mart to optimize load consolidation processes and reduce costs across the organization.
Consider Differing Fulfillment Models. Furthermore, this will help reduce delays from issues in one type of fulfillment model. For example, trade from a single port may become congested. For example, an information hub may contain data from ERPs , the TMS, and the WMS. Gather Information in a Central Location.
Author’s Note: The following is an excerpt of what I presented recently in a webinar organized by Descartes Systems Group (a Talking Logistics sponsor) focused on “ Delivery – The Moment of Truth.” I’ll give you a quick personal example. For the rest of my comments and Brian Hodgson’s presentation, watch the webinar archive.
In a thoughtful webinar today digital freight forwarder Zencargo co-Founder, Richard Fattal, and Bis Henderson ‘s Louisa Hosegood debated the unprecedented pressures in the global supply chain this year and how they jeopardise retailer’s profitability. Retailers should ask how risky their operating model is.
For example, subscription-based services, such as self-driving car giant, Tesla, and the shaving guru, Dollar Shave Club, are able to collect an insurmountable amount of data on consumers, feeding back into the company’s forecast model. For example, Amazon is working tirelessly to get the two-hour delivery window open to its consumers.
Flexibility is often misunderstood as more companies move towards software-as-a-service (SaaS) models for transportation management systems (TMS). Flexible and strategic logistics management includes three key means of improvements: delivery models, functionality, and services. Core Components of Flexibility.
Soon, these “additive manufacturing” robots were able to work with metal, and by 1990 plastic feedstock was introduced by Stratasys under the name of fused deposition modeling (FDM). Models small enough to fit on a desktop, such as the popular MakerBot , run just several thousand dollars and are ready to use out of the box.
Unlike Descriptive (focused on reporting with basic trend or pattern recognition) or Predictive Analytics (focused on predicting the future with forecasting techniques), Prescriptive Analytics uses techniques like machine learning and mathematical modeling to help you improve decision making. Take production planning tools, for example.
For example, does location A offer more benefits than location B. In this example, location A is located outside of shopping center with few restaurants. For example, an analysis of fuel efficiency may require information on road conditions, tire pressure and octane ratings. Where Is Big Data Impacting Business? .
For example, let’s say that you’re a construction company. This is a good deal, because you’re getting the newest models on the market and you don’t have to pay retail for something that you’ll only use once. So, for example, a company like jackswinches.com will let you hire out a winch for a reasonable price.
The transportation management system, or often referred to as TMS, is a great example of how this technology is being used to create a more interconnected space both digitally and physically. We call this SaaS TMS model Hybrid SaaS TMS. An example might be a retailer who is managing inbound transportatio n. Real Results.
for example, used predictive analytics to make changes in their inventory processes and have since seen an increase in their production and purchase orders. The simpler the model, the more likely the use. If you want your company to embrace an analytics system, it’s important that the model is simple and easy to grasp.
We asked a great question at our recent webinar on the subject of benchmarking. If you are working in a very large business, let’s say for example that you are benchmarking warehouse performance, maybe you have a whole bunch of different warehouses in the business—you can benchmark them against each other. External Benchmarking.
For example, the Cerasis Rater enables B2B sales by allowing other B2B partners to request automatically reorders, retrieve freight rates and offer e-commerce fulfillment and shipment. Pricing Models Are Subject to the “Amazon Standard.”. Pricing models are changing as well.
Across our many blog posts, videos, webinars, eBooks, and other shared content, you’ll find a wealth of information about various aspects of outsourcing in the supply chain. However, I can’t recall writing a general guide about exploiting outsourcing opportunities to improve your supply chain.
Predictive capabilities and modeling to reduce costs. Another example might be a situation in which production constraints might delay delivery of raw materials by 3 days to a proprietary supplier. Improve service levels. Improve quality levels in real-time.
For example, a returned product may only require rewrapping of exterior for sale to a secondary consumer. For example, customers may favor your company over your competitors when you implement an RLS. For example, leaking acid from batteries may contaminate the water of a lake, which then impacts drinking water for various towns.
By using big data to analyze the buying patterns of its repeat customers, the company optimized its delivery schedule and profitability, while simultaneously adopting a more lean production model. Responsive Technology #3: Reconfigurable Manufacturing Systems. A third revolutionary technology is reconfigurable manufacturing systems (RMS).
This example generates a huge amount of data that can leverage in the supply chain. While this example may still be a few years off, it is important that you understand how the top emerging trends in automation will shape supply chains and transportation processes in the coming years. The truck never stops until arriving for reloading.
For example, if your supply chain and transportation vendors are immune to the stress caused by holidays such as Christmas , you should feel comfortable using historical truck carrier rates for budgetary purposes. You Don’t Have To Worry About Seasonality. Cerasis knows that without our carriers we would not have services for our customers.
Gainsharing comes with its share of benefits too, and more logistics services providers are starting to use a newer pricing model, Vested Outsourcing, in place of rigid gainsharing models. Gainsharing in logistics is often used by third-party logistics providers ( 3PLs ) as a pricing model. The Drawbacks of Gainsharing.
Brands which once sold primarily through other channels are embracing D2C (direct to consumer) sales and deliveries in order to own the customer experience and introduce profitable new business models. Building new business models from branded deliveries. Apple is another great example of branding the delivery experience.
For example, a shipper may want to take advantage of transportation management systems (TMS), which enhance visibility and improve transportation management. For example, the use of cloud technology to enhance communication with clients and promote up-time for e-commerce traffic fall into the realm of managed IT services.
Brand identity, interactive marketing campaigns and differential lifestyles complicate a perfect trend analysis model. Of course, these sophisticated automated models will not give the full picture either, especially in a market run by the pandemic. Simple Examples of Predictive Analytics. Check out our July Webinar!
Yesterday we explained how to calculate dimensional weight covering the parcel examples and the impact on shipping costs , in general. Under this new pricing model, LTL freight classes will be determined by weight and space occupied on the truck. For example, 50 pounds per cubic foot or greater will receive class 50 designation.
Unlike Descriptive (focused on reporting with basic trend or pattern recognition) or Predictive Analytics (focused on predicting the future with forecasting techniques), Prescriptive Analytics uses techniques like machine learning and mathematical modeling to help you improve decision making. Take production planning tools, for example.
For example, more manufacturers are likely to begin the process of outsourcing services and transportation to 3PLs. Everyday items, such as household products, clothing, electronics and recreational items are not ready to become part of the outcome-based pricing model, but it is on the horizon.
For example, in China alone, where the last decade brought millions of new participants into the workforce, a skills gap is expected to cause a deficit of 23 million sufficiently skilled workers there by 2030. For example, job training grants totaling $450 million were distributed among approximately 270 community colleges in 2014.
For example, when one company orders from a supplier in Asia to be delivered by a certain ocean carrier, the lead time is 24 days. To learn more, you can register for a free webinar as part of the ARC Advisory Group Digital Transform Council’s ongoing discussions around digital transformation.
Brands which once sold primarily through other channels are embracing D2C (direct to consumer) sales and deliveries in order to own the customer experience and introduce profitable new business models. Building new business models from branded deliveries. Apple is another great example of branding the delivery experience.
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