What we can learn from the 2016 Supply Chains to Admire study
A data-intensive annual study conducted by Supply Chain Insights provides industry-specific supply chain benchmarks and identifies three practices that can enhance company value.
Five months of analysis. Many heated debates. It is now over. Last month our research firm, Supply Chain Insights, finished its annual analysis of supply chain excellence, the "2016 Supply Chains to Admire," listing 16 companies as winners and 21 companies as finalists. The research starts in April and stretches over 15 weeks as we analyze the different elements and understand the patterns of each industry.
Why do we do it? Selfishly, we need a good, standard definition of supply chain excellence for our research, but we also want to help supply chain leaders improve and benchmark their operations. Currently there is no widely accepted standard for supply chain excellence; leaders agree that supply chain excellence is easier to say than define. Progress, however, is not possible without a clear goal. The answer? We think deep research, such as the Supply Chains to Admire study, can help companies determine benchmarks and set these goals.
The Supply Chains to Admire analysis is now in its third year. It is data-driven research: a deep analysis of performance, improvement, and value of 320 companies across 31 industries for the period 2009-2015. The source data for the analysis is public reporting of balance-sheet and income statements.
To determine the winners, we compared the relative effectiveness of each company against average performance within an industry-specific peer group. The analysis identified which companies have driven higher levels of improvement (based on Supply Chain Index calculations) and shareholder value (as defined by "price to tangible book value," a valuation ratio expressing the price of a security compared to its hard, or tangible, book value as reported in the company's balance sheet) while also outperforming their peer group on the performance metrics of growth, operating margin, inventory turns, and return on invested capital (ROIC). This methodology is shown in Figure 1.
And the winners are ...
In the analysis, we divide companies into three groups: winners, finalists, and underperformers.
Winners. The winners of this analysis meet all of the criteria of improvement, value, and performance when compared to a like industry peer group. Sixteen companies qualify for this category (see Figure 2). This high-performing group represents 5 percent of public companies studied.
Finalists. Finalists, like winners, showed higher levels of improvement and value than their peer group. They were also within 10 percent of the industry average on three out of four of the performance factors (growth, operating margins, inventory turns, and ROIC) while being no more than 25 percent below the mean on any of these four factors. Twenty-one companies meet these criteria (see Figure 2). In this analysis, 7 percent of companies studied are finalists. The combination of finalists and winners equals 12 percent of companies studied.
Underperformers. The winners and finalists are an elite group; 88 percent of companies do not meet the three criteria of improvement, value, and performance. Unfortunately, we find most companies are moving backwards on the Supply Chain Metrics That Matter (growth, operating margins, inventory turns, and ROIC) or are making progress on singular metrics instead of driving performance improvement on a balanced portfolio of supply chain metrics that correlate to market capitalization. This includes industry icons that are often referenced as best-in-class supply chains.
It is notable that there are no winners or finalists in the following industries: aerospace and defense, automotive, automotive suppliers, conglomerates, consumer durables, e-commerce retail, hospitals, over-the-counter drugs, packaging, pharmaceutical, third-party logistics, or toys. Similarly, industries like beverages, contract manufacturing, food, oil and gas, restaurants and fast food, and retail apparel have finalists, but no winners. We find it interesting that the industries with the greatest challenges—high-tech and electronics—post the greatest progress, while industries with slower market shifts—household products, food, and beverage—are regressing. Furthermore there is more progress in retail and discrete sectors than process-intensive industries.
What can we learn from the research?
The Supply Chains to Admire list allows us to identify high-performing supply chains based on hard data (rather than on personal opinion). With this analysis, we can then look at the companies on a vetted list and see if top performers have any traits or practices in common.
When we interviewed companies that made the Supply Chains to Admire list, we did find commonalities and similar patterns as well as commonalities among the laggards. (See Figure 3.)
Figure 3: Characteristics of Supply Chains to Admire Leaders
Laggards
Leaders
Focus on functional metrics
Focus on horizontal processes
Driving singular metric strategies
Building of balanced scorecards
Changing leadership
Consistency of leadership and culture
Focus solely on transactional processes
Strong planning and network design
Changing focus and adoption of fads
Clarity of supply chain excellence
One thing the leaders have in common is longer tenure of their leadership teams and a focus on long-term outcomes. This provides consistency in direction. The teams sidestep fads to maintain a dogged focus on supply chain excellence. In our analysis, we also found that winners are more focused on the management of complexity through the adoption of customer segmentation, cost-to-serve analysis, and item rationalization. They are better at horizontal processes, supply chain planning, and network design (with a clear definition of form/function of inventory).
What drives value?
As a part of this analysis, we also wanted to identify for supply chain leaders the factors that drive value. To do this, we worked in parallel with the Supply Chains to Admire research, mining our quantitative data to answer this question: "What steps should companies take to improve price to tangible book value (PTBV)?"
In the Supply Chains to Admire analysis, we use PTBV as a proxy metric of value. In our early research, we only used market capitalization, but in this more recent analysis, we substitute PTBV for market capitalization. Why? There is less volatility. The definition of PTBV we use is:
Price to Tangible Book Value = Market Share Price / Tangible Book Value per Shares Outstanding
We believe that improving the value of shares outstanding in relationship to assets and tangible book value is within the control of the supply chain leader. The supply chain leader has direct input into asset strategies and inventory decisions and drives supply chain strategies. These are major contributors to PTBV results.
To help supply chain leaders, we wanted to use our survey database to understand the relationship between supply chain strategies/process options and improving PTBV. Through this analysis, we find that companies that have a successful supply chain center of excellence, an effective sales and operation planning (S&OP) process, and better supplier visibility and less business pain associated with supplier reliability have greater PTBV performance. In Figure 4, we include the correlations of these factors to PTBV. (The full report also includes factors that we considered but found had a correlation of less than r=0.30 and greater than -0.30. We found that many commonly held best practices, like having a single instance of enterprise resource planning (ERP), do not show a pattern of correlation to PTBV.)
It's easy for industry consultants to speak of a top-performing supply chain, and it is right to be skeptical of claims that cannot be verified. It is for this reason that we are open and share our calculations and our methodologies.
To use the research, we recommend that you check out the supply chain's performance by plotting year-over-year metrics at the intersection of two ratios and look at the patterns. This is an "orbit" chart. We find the patterns and the intersection of inventory turns and operating margin and the patterns and intersection of growth and return on invested capital to be insightful. (These patterns are visually represented in the "orbit" charts by industry. The patterns tell stories. To understand the patterns, check out the portfolio of the winners here.) We believe that the "Supply Chains to Admire" report, by looking closely at these patterns, provides the verification you need. We hope that it helps you benchmark supply chain performance and guide your efforts. Check out the full report at supplychaininsights.com/2016-supply-chains-to-admire/.
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."
Businesses engaged in international trade face three major supply chain hurdles as they head into 2025: the disruptions caused by Chinese New Year (CNY), the looming threat of potential tariffs on foreign-made products that could be imposed by the incoming Trump Administration, and the unresolved contract negotiations between the International Longshoremen’s Association (ILA) and the U.S. Maritime Alliance (USMX), according to an analysis from trucking and logistics provider Averitt.
Each of those factors could lead to significant shipping delays, production slowdowns, and increased costs, Averitt said.
First, Chinese New Year 2025 begins on January 29, prompting factories across China and other regions to shut down for weeks, typically causing production to halt and freight demand to skyrocket. The ripple effects can range from increased shipping costs to extended lead times, disrupting even the most well-planned operations. To prepare for that event, shippers should place orders early, build inventory buffers, secure freight space in advance, diversify shipping modes, and communicate with logistics providers, Averitt said.
Second, new or increased tariffs on foreign-made goods could drive up the cost of imports, disrupt established supply chains, and create uncertainty in the marketplace. In turn, shippers may face freight rate volatility and capacity constraints as businesses rush to stockpile inventory ahead of tariff deadlines. To navigate these challenges, shippers should prepare advance shipments and inventory stockpiling, diversity sourcing, negotiate supplier agreements, explore domestic production, and leverage financial strategies.
Third, unresolved contract negotiations between the ILA and the USMX will come to a head by January 15, when the current contract expires. Labor action or strikes could cause severe disruptions at East and Gulf Coast ports, triggering widespread delays and bottlenecks across the supply chain. To prepare for the worst, shippers should adopt a similar strategy to the other potential January threats: collaborate early, secure freight, diversify supply chains, and monitor policy changes.
According to Averitt, companies can cushion the impact of all three challenges by deploying a seamless, end-to-end solution covering the entire path from customs clearance to final-mile delivery. That strategy can help businesses to store inventory closer to their customers, mitigate delays, and reduce costs associated with supply chain disruptions. And combined with proactive communication and real-time visibility tools, the approach allows companies to maintain control and keep their supply chains resilient in the face of global uncertainties, Averitt said.
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.