Railroad workers’ unions continued to make strides this week in pushing for more flexibility in employees’ days off, with Union Pacific Railroad saying Wednesday that it had made a tentative agreement with the Brotherhood of Locomotive Engineers and Trainmen (BLET) to provide more predictable schedules for workers.
The proposed agreement would provide locomotive engineers with an 11 days on, 4 days off schedule. That approach will also enable the railroad to better manage staffing levels, which supports more consistent and reliable service, Union Pacific said.
The deal would impact some 5,600 Union Pacific locomotive engineers represented by BLET. And both parties said that negotiations are continuing that could affect additional employees, covering ways to improve quality of life such as sick time.
The contentious issue of days off and paid sick leave was the sticking point that nearly triggered a nationwide rail strike in December 2022, until Congress and the Biden Administration imposed an earlier agreement. The recent flurry of agreements in that area signal that unions and railroads have continued to negotiate agreements since backing away from that precipice.
"Union Pacific values its craft professionals and their candid feedback, which have led to these historic changes, improving the quality of life for the locomotive engineers who move the goods Americans rely on every day," UP Chairman, President and CEO Lance Fritz said in a release. "Last fall, we promised to address their concerns and find solutions, and we want to thank union leadership for their collaboration on this industry-leading agreement."
According to union leaders, the changes will make a substantial difference in working conditions for their members. "The 11-4 work/rest schedule will be life altering for employees who are used to working on-call 24/7, 365 days a year," BLET National President Eddie Hall said in a release. "We applaud our BLET General Chairmen and Union Pacific's management for this important step that we believe will improve our members' quality of life. This significant change in scheduling not only will make life better for locomotive engineers and their families, it also should help Union Pacific retain and recruit employees."
The U.S. manufacturing sector has become an engine of new job creation over the past four years, thanks to a combination of federal incentives and mega-trends like nearshoring and the clean energy boom, according to the industrial real estate firm Savills.
While those manufacturing announcements have softened slightly from their 2022 high point, they remain historically elevated. And the sector’s growth outlook remains strong, regardless of the results of the November U.S. presidential election, the company said in its September “Savills Manufacturing Report.”
From 2021 to 2024, over 995,000 new U.S. manufacturing jobs were announced, with two thirds in advanced sectors like electric vehicles (EVs) and batteries, semiconductors, clean energy, and biomanufacturing. After peaking at 350,000 news jobs in 2022, the growth pace has slowed, with 2024 expected to see just over half that number.
But the ingredients are in place to sustain the hot temperature of American manufacturing expansion in 2025 and beyond, the company said. According to Savills, that’s because the U.S. manufacturing revival is fueled by $910 billion in federal incentives—including the Inflation Reduction Act, CHIPS and Science Act, and Infrastructure Investment and Jobs Act—much of which has not yet been spent. Domestic production is also expected to be boosted by new tariffs, including a planned rise in semiconductor tariffs to 50% in 2025 and an increase in tariffs on Chinese EVs from 25% to 100%.
Certain geographical regions will see greater manufacturing growth than others, since just eight states account for 47% of new manufacturing jobs and over 6.3 billion square feet of industrial space, with 197 million more square feet under development. They are: Arizona, Georgia, Michigan, Ohio, North Carolina, South Carolina, Texas, and Tennessee.
Across the border, Mexico’s manufacturing sector has also seen “revolutionary” growth driven by nearshoring strategies targeting U.S. markets and offering lower-cost labor, with a workforce that is now even cheaper than in China. Over the past four years, that country has launched 27 new plants, each creating over 500 jobs. Unlike the U.S. focus on tech manufacturing, Mexico focuses on traditional sectors such as automative parts, appliances, and consumer goods.
Looking at the future, the U.S. manufacturing sector’s growth outlook remains strong, regardless of the results of November’s presidential election, Savills said. That’s because both candidates favor protectionist trade policies, and since significant change to federal incentives would require a single party to control both the legislative and executive branches. Rather than relying on changes in political leadership, future growth of U.S. manufacturing now hinges on finding affordable, reliable power amid increasing competition between manufacturing sites and data centers, Savills said.
The number of container ships waiting outside U.S. East and Gulf Coast ports has swelled from just three vessels on Sunday to 54 on Thursday as a dockworker strike has swiftly halted bustling container traffic at some of the nation’s business facilities, according to analysis by Everstream Analytics.
As of Thursday morning, the two ports with the biggest traffic jams are Savannah (15 ships) and New York (14), followed by single-digit numbers at Mobile, Charleston, Houston, Philadelphia, Norfolk, Baltimore, and Miami, Everstream said.
The impact of that clogged flow of goods will depend on how long the strike lasts, analysts with Moody’s said. The firm’s Moody’s Analytics division estimates the strike will cause a daily hit to the U.S. economy of at least $500 million in the coming days. But that impact will jump to $2 billion per day if the strike persists for several weeks.
The immediate cost of the strike can be seen in rising surcharges and rerouting delays, which can be absorbed by most enterprise-scale companies but hit small and medium-sized businesses particularly hard, a report from Container xChange says.
“The timing of this strike is especially challenging as we are in our traditional peak season. While many pulled forward shipments earlier this year to mitigate risks, stockpiled inventories will only cushion businesses for so long. If the strike continues for an extended period, we could see significant strain on container availability and shipping schedules,” Christian Roeloffs, cofounder and CEO of Container xChange, said in a release.
“For small and medium-sized container traders, this could result in skyrocketing logistics costs and delays, making it harder to secure containers. The longer the disruption lasts, the more difficult it will be for these businesses to keep pace with market demands,” Roeloffs said.
Jason Kra kicked off his presentation at the Council of Supply Chain Management Professionals (CSCMP) EDGE Conference on Tuesday morning with a question: “How do we use data in assessing what countries we should be investing in for future supply chain decisions?” As president of Li & Fung where he oversees the supply chain solutions company’s wholesale and distribution business in the U.S., Kra understands that many companies are looking for ways to assess risk in their supply chains and diversify their operations beyond China. To properly assess risk, however, you need quality data and a decision model, he said.
In January 2024, in addition to his full-time job, Kra joined American University’s Kogod School of Business as an adjunct professor of the school’s master’s program where he decided to find some answers to his above question about data.
For his research, he created the following situation: “How can data be used to assess the attractiveness of scalable apparel-producing countries for planning based on stability and predictability, and what factors should be considered in the decision-making process to de-risk country diversification decisions?”
Since diversification and resilience have been hot topics in the supply chain space since the U.S.’s 2017 trade war with China, Kra sought to find a way to apply a scientific method to assess supply chain risk. He specifically wanted to answer the following questions:
1.Which methodology is most appropriate to investigate when selecting a country to produce apparel in based on weighted criteria?
2.What criteria should be used to evaluate a production country’s suitability for scalable manufacturing as a future investment?
3.What are the weights (relative importance) of each criterion?
4.How can this methodology be utilized to assess the suitability of production countries for scalable apparel manufacturing and to create a country ranking?
5.Will the criteria and methodology apply to other industries?
After creating a list of criteria and weight rankings based on importance, Kra reached out to 70 senior managers with 20+ years of experience and C-suite executives to get their feedback. What he found was a big difference in criteria/weight rankings between the C-suite and senior managers.
“That huge gap is a good area for future research,” said Kra. “If you don’t have alignment between your C-suite and your senior managers who are doing a lot of the execution, you’re never going to achieve the goals you set as a company.”
With the research results, Kra created a decision model for country selection that can be applied to any industry and customized based on a company’s unique needs. That model includes discussing the data findings, creating a list of diversification countries, and finally, looking at future trends to factor in (like exponential technology, speed, types of supply chains and geopolitics, and sustainability).
After showcasing his research data to the EDGE audience, Kra ended his presentation by sharing some key takeaways from his research:
China diversification strategies alone are not enough. The world will continue to be volatile and disruptive. Country and region diversification is the only protection.
Managers need to balance trade-offs between what is optimal and what is acceptable regarding supply chain decisions. Decision-makers need to find the best country at the lowest price, with the most dependability.
There is a disconnect or misalignment between C-suite executives and senior managers who execute the strategy. So further education and alignment is critical.
Data-driven decision-making for your company/industry: This can be done for any industry—the data is customizable, and there are many “free” sources you can access to put together regional and country data. Utilizing data helps eliminate path dependency (for example, relying on a lean or just-in-time inventory) and keeps executives and managers aligned.
“Look at the business you envision in the future,” said Kra, “and make that your model for today.”
Turning around a failing warehouse operation demands a similar methodology to how emergency room doctors triage troubled patients at the hospital, a speaker said today in a session at the Council of Supply Chain Management Professionals (CSCMP)’s EDGE Conference in Nashville.
There are many reasons that a warehouse might start to miss its targets, such as a sudden volume increase or a new IT system implementation gone wrong, said Adri McCaskill, general manager for iPlan’s Warehouse Management business unit. But whatever the cause, the basic rescue strategy is the same: “Just like medicine, you do triage,” she said. “The most life-threatening problem we try to solve first. And only then, once we’ve stopped the bleeding, we can move on.”
In McCaskill’s comparison, just as a doctor might have to break some ribs through energetic CPR to get a patient’s heart beating again, a failing warehouse might need to recover by “breaking some ribs” in a business sense, such as making management changes or stock write-downs.
Once the business has made some stopgap solutions to “stop the bleeding,” it can proceed to a disciplined recovery, she said. And to reach their final goal, managers can use the classic tools of people, process, and technology to improve what she called the three most important key performance indicators (KPIs): on time in full (OTIF), inventory accuracy, and staff turnover.
CSCMP EDGE attendees gathered Tuesday afternoon for an update and outlook on the truckload (TL) market, which is on the upswing following the longest down cycle in recorded history. Kevin Adamik of RXO (formerly Coyote Logistics), offered an overview of truckload market cycles, highlighting major trends from the recent freight recession and providing an update on where the TL cycle is now.
EDGE 2024, sponsored by the Council of Supply Chain Management Professionals (CSCMP), is taking place this week in Nashville.
Citing data from the Coyote Curve index (which measures year-over-year changes in spot market rates) and other sources, Adamik outlined the dynamics of the TL market. He explained that the last cycle—which lasted from about 2019 to 2024—was longer than the typical three to four-year market cycle, marked by volatile conditions spurred by the Covid-19 pandemic. That cycle is behind us now, he said, adding that the market has reached equilibrium and is headed toward an inflationary environment.
Adamik also told attendees that he expects the new TL cycle to be marked by far less volatility, with a return to more typical conditions. And he offered a slate of supply and demand trends to note as the industry moves into the new cycle.
Supply trends include:
Carrier operating authorities are declining;
Employment in the trucking industry is declining;
Private fleets have expanded, but the expansion has stopped;
Truckload orders are falling.
Demand trends include:
Consumer spending is stable, but is still more service-centric and less goods-intensive;
After a steep decline, imports are on the rise;
Freight volumes have been sluggish but are showing signs of life.
CSCMP EDGE runs through Wednesday, October 2, at Nashville’s Gaylord Opryland Hotel & Resort.