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For example: The global GDP growth rate for 2021 was 6.02%, a 9.1% According to a recent article, Maersk Line is expecting container volumes to drop by 4% in 2023 globally, while their previous forecast was 2.5%. The post Analysis: Today’s Global Economy vs. Global Container Shipping appeared first on More Than Shipping.
Have you conducted a cost-to-serve (CTS) analysis for your enterprise? And that is the sole purpose of cost-to-serve analysis. If you were going to say, “What is a cost-to-serve analysis?” Only a complete cost-to-serve analysis will expose these underlying issues unless they happen to be discovered incidentally.
Quality and Detail of Data and its Analysis In some of our earlier posts, weve stressed the importance of simplicity in distribution network design , and we will return to that topic later in this article. It’s not a short list, so we’ll set it down here as a summary to help you with plans for analysis.
In this article, we will explore these last-mile delivery optimization strategies and the role of route optimization software as we look ahead to industry trends shaping the future of delivery in 2025. 3) Customer Feedback and Behavior Analysis Understanding customer feedback is crucial for optimizing last-mile delivery.
Original article: Cost of Warehouse Management System Software. For example, a WMS vendor without its own label printing tools is unlikely to bring that topic to the table on their own, so make sure you know what questions to ask. Original article: Cost of Warehouse Management System Software . WMS Software Cost Drivers.
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. Impact of Policy Proposals: An Industry-Specific Analysis 1. This article is for informational purposes only and presents a high-level overview.
Let’s look at my 7 truths of customer service that every business should consider; Most companies don’t truly know their customers’ service needs, though they think they do This often stems from insufficient customer interaction, lack of surveys, and limited performance measurement Even after working with thousands of businesses over (..)
We continue our series on the most read articles from the Cerasis blog for 2015 today by featuring any of the blogs in the transportation management or transportation categories. . We've already listed the top 10 manufacturing articles, the top 10 supply chain articles, and yesterday, the top 10 logistics articles.
Original article: Freight Truck Shortages Are Changing The Face Of Logistics. Michelle Sodomka, a Senior Director in charge of Open Sky Group ’s transportation management practice has 15 years’ experience in risk analysis and mitigation within the logistics industry. Freight Truck Shortages Are Changing The Face Of Logistics.
“Of course, you can build more tracks and there are places in the Netherlands where it would be easy to do this, but in areas like the Randstad conurbation, where extra capacity is needed most, it’s going to be difficult,” said Pier Eringa, CEO of ProRail in an article on the railway’s efforts to boost capacity and speed. million by 2025.
Like our two previous infographics (we’ve reposted those below this article & if you click each one it will go to the respective article), this article continues to examine the American manufacturing industry. The Rise Of Manufacturing Data Analysis. This process is referred to as ‘data cleansing.’
I tend to use time series analysis as an anchor to my forecast, as I suspect many of you do. For example, in a recent CNBC interview Ben Bernanke noted that the Federal Reserve likely looked at the unemployment rate and total employment in early 2021 and inferred that there was plenty of slack in the labor market. Final Word.
Still, in this article, I will help you evaluate the need for supply chain and logistics KPIs in your organisation, and identify which types of measurement might be most appropriate. For example, you might call the highest level the “primary tier” and the second level the “secondary tier.” Which ones to use?…
The Wall Street Journal’s recent analysis of retailers’ logistical challenges highlights the appeal and success of alternative solutions to traditional warehousing in retail and beyond. We’ve rounded up the key insights from the article below. Read the Wall Street Journal article
In the rest of this article, we will delve deeper into the advantages of how a fleet management system works and how to monitor it properly. The opportunities for improvement when using this system include: Real-time location tracking of each vehicle; Analysis of drivers’ behavior in relation to what was planned and what happened.
Examples of automation range from a household thermostat to a large industrial control system, self-driven vehicles, and warehousing robots. Examples are industrial robots and multipurpose CNC machines. For example, full warehouse automation to support event-driven, mission-critical system delivery.
The tips in this article will help you know how to identify the customers, products, and processes that might be inflating your cost to serve (CTS) unnecessarily. For example: Compared to selling a product in-store, the cost to deliver that same item as a small parcel can be several times higher. Identifying Cost Elements and Drivers.
Too much leads to resources being monopolised on gathering tons of data and a subsequent risk of “paralysis by analysis” Cost to Serve (CTS) is an approach that helps you avoid both extremes. Besides optimising the present or fixing the past, CTS reporting and analysis opens the door to what-if scenarios and projections.
Common Forms of AI Computer Vision Face recognition is one example of Computer Vision. Common applications include facial recognition, object detection, medical image analysis, and autonomous vehicles. Machine Learning (ML) Predictive analytics is one example of Machine Learning. Deep Learning is a subset of machine learning.
In this article, we will delve into strategic ways for warehouse managers to eliminate waste, with a focus on not only optimizing the use of cartons and packing, but labor resources and warehouse space as well. By conducting a velocity analysis, the software can categorize products based on their demand and importance.
The research process includes an analysis of large amounts of information and interviews with executives from numerous warehouse automation providers; and concludes with the publication of ARC’s research study. Together, these two articles provide a substantial quantitative and qualitative overview of the global warehouse automation market.
Key Takeaways from This Article: COVID-19 has unveiled the fragility of a global supply chain predicated on lowest-cost principles. Many companies, for example, have considered drastic revisions to their sourcing strategies to reduce reliance on far-flung regions. The true control tower technology is going to take time,” Singh said.
A thorough analysis of Design for Manufacture and Assembly (DFMA) is just one tactic you can use to find success within the constructs of the chain. This post was inspired by the great article we found over at DesignNews titled, " Is DFMA the Way Forward for Reshoring Efforts? " Assembly Analysis. Manufacturing Analysis.
In this article, we’ll explore how these technologies can make a difference and enhance port operations. For example, if a vessel is delayed due to adverse weather, port operators can adjust resource allocation accordingly. For example, predictive analytics can alert maintenance teams to potential issues with cranes or conveyor belts.
For example, a recent survey of 100 randomly selected people showed that many are not conversant with shipping industry terminologies, let alone the services. Hence, it is not surprising that early analysis indicates that 8 out of every 10 participants in the survey had never heard of the term “freight forwarding.” Wrapping up.
Despite the inherent challenges, a 2018 McKinsey article estimated that the payoff of agility enabled by digitalization can be staggering: “For companies that aim well and execute effectively, the resulting cost reductions could be transformational. A Positive Example. And Agility Can Help Improve Profitability Too?
This article, which is focused on the different types of artificial intelligence used and the types of problems they are solving, is aimed at helping practitioners cut through the hype. Lead times, for example, are a critical form of master data for planning purposes. Artificial intelligence is beginning to be used to update the data.
Quality and Detail of Data and its Analysis In some of our earlier posts, we’ve stressed the importance of simplicity in distribution network design , and we will return to that topic later in this article. It’s not a short list, so we’ll set it down here as a summary to help you with plans for analysis.
That is one example of a public version of Generative AI. For example, a robot in a warehouse that results in a physical action, or it could just be something as small as, if this event takes place, then make this phone call or change this data. Biggest one is data analysis. Public AI We talked about ChatGPT.
Those are the precise questions we’ve set out to answer in this article. For example, you can optimise for cost, profit, or service, but not for all of them. In that case, please read on, as the rest of this article is dedicated to explaining the nine fundamental factors typically contributing to suboptimal inventory levels.
In this article we will look at the topic of customer service: getting it right in your business, understanding the implications for your distribution network, and how you can extract more value —and get more cost—out of your business. To do that we use a technique called conjoint analysis. What should the service be?
For example, you might use simple observation to identify visible defects at goods-in, or you could make your analysis a bit deeper by testing a percentage of items received from the supplier. In procurement, cost analysis is not just about the price of your company’s purchases. Supplier Defect Rate.
Let’s start with an uncomplicated example: Company A is in the business of distributing whiteboard markers. If they are going to understand their cost to serve, they need to know the cost of shipping, for example, the green one to a customer. Let’s take allocation of fixed warehouse costs as an example.
Even more complex, some 3PLs may offer different degrees of service, such as a 4PL model that blends a shipper’s existing network and fleets with a 3PL’s technology and solution, as discussed in this third-party versus fourth-party value article. . Does the Transportation Management Services Provider Offer Logistics Consulting.
For example, the New York Times is out with a new article on wind energy and how it can help shipping in the near future as climate change becomes a major focus. Could wind power help power tomorrow’s shipping vessels as shippers look to become more environmentally-friendly?
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.
As a result, and as we’ve mentioned in several previously published articles, we’ve discovered that many companies lack a defined and documented supply chain strategy. For example, you don’t want to assume that a single logistics strategy and service approach will meet all your customers’ needs. It may do, but how do you know?
For example, it can look like imports from China are cheaper than the same goods imported from Mexico if a company is not relying on analysis produced by an advanced good global trade compliance (GTC) system. In addition to using a GTC as part of a landed cost analysis, GTC solutions help companies adhere to restricted party lists.
Key takewways in this article are the following: As technology and geopolitical risks converge, cyberthreats of all kinds become more prevalent and costly, from ransomware to trade-and-tariff wars. The global supply chain, for example, has been hit hard over the past 15 months, creating supply shortages and imbalanced demand.
Doing so helps organizations detect market shifts and makes supply chain decisions more forward-looking than an analysis of the past, present, and at best, a tactical view of the future. Designing vehicle routes that explicitly optimize transportation routes with carbon footprint considerations is another example.
In this article, I will redress the balance by exploring outsourcing from a more holistic perspective, focusing on ways to consider outsourcing partnerships for improvement throughout the supply chain. So, for example, outsourcing sales activity is not typically a good idea if yours is a retail sales company.
“Paralysis by analysis” is a common term used to describe such a situation, and you can avoid it by monitoring a smaller number of carefully chosen KPIs. As an example of how illuminating the perfect order KPI can be, let’s look briefly at damage-free delivery as an example. x 0.96 = 0.8661.
This article describes how to incorporate simulation techniques into optimization, build a stochastic optimization model, and end up with a more resilient supply chain model. For example, Colorado should be serviced by the plant in Texas in certain months and by the California plant during others. But it has gaps.
This article will look at three major issues that come up time and time again. But I often see companies that have more cutting tools, for example, than they need. Machinists may set aside a box of inserts and drills at their work stations, for example, to ensure they don’t run out. Too Little. Too Costly.
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