Tag Archives: technology

When managing your supply chain, it’s crucial to be aware of the latest technologies and how to integrate them with your existing systems. Doing so will optimize the efficiency of your operations and boost transparency. To benefit from updated technology, you may first encounter some obstacles during implementation.

This article explores common barriers to adopting technology and provides strategic insights into overcoming these obstacles so your organization can maximize the benefits of technology advancements.

Common Barriers to Tech Adoption and How to Overcome Them

As you participate in the global supply chain systems, you may encounter a variety of common barriers to adopting technology effectively. Common barriers include:

Integration complexities

If you’ve been in business for a significant amount of time, your team will likely have legacy systems that are challenging to integrate with emerging technologies. It’s best to integrate new technologies slowly and methodically.

Prudent managers will create change management strategies to ensure the process goes more smoothly. Companies can work with supply chain integration services, which cover strategic decision-making and setting up integration teams when working with new technology solutions.

Budgetary limitations

One common objection in management to deploying modern technology is the expense of investment and maintenance. But you have to spend money to make money and avoid the opportunity cost that would result from failing to adopt a promising technology.

A strategic move would be to demonstrate the return on investment in Software as a Service, or SaaS, and how adopting new technologies will provide you with significant long-term savings.

For example, you can calculate how much money your organization could save if you migrated data and software services to a cloud computing solution, which would have a dedicated staff of IT experts keeping watch over your information. This will be less expensive than maintaining your own data servers and trying to predict how much capacity you’ll require.

Cloud computing lets your supply chain stakeholders connect to data from any location safely and securely, fostering greater collaboration using mobile devices when they’re not near a desktop computer.

Data security concerns

As you adopt new technology, you must understand the security implications of its use. Criminal hackers may try to invade the privacy of employees who maintain your supply chain.

They may attempt to breach your network with malware — which can lead to theft of intellectual property or lock down data during a ransomware attack — and threaten to not restore access to crucial information until you pay the ransom. You’ll want to implement advanced protocols to ensure optimized cybersecurity. It’s prudent to make sure you comply with global data privacy restrictions.

Workforce training needs

You may have been facing a shortage of skilled workers who can help you deploy and manage new supply chain technologies. Accordingly, you’ll need to invest in development and training.

Often, it’s best to partner with external consultants, whether you’re improving your onboarding process or overhauling the ongoing training you provide to long-standing members of your team.

You want to engage your employees so they can work to their maximum potential within the supply chain. For example, give them wearable mixed reality devices to provide them with additional content to enhance how they carry out complex tasks and work more safely.

Without the Latest Technology for Supply Chain Integration, You May Fall Behind the Competition

Owners and managers of businesses with significant reliance on the global supply chain cannot keep their heads in the sand regarding technology. It pays to hire supply chain experts with a background in technology to pave the way toward optimized integration.

Companies without in-house expertise can partner with firms that specialize in supply chain integration services. Doing so will help you maintain a competitive edge and work more efficiently and transparently.

 *This article is written by Gary Brooks. Gary is the CMO of ketteQ and has more than 25 years of experience leading marketing for top software companies. Brooks has been featured in major publications such as Forbes, VentureBeat, ZDNET, Equipment World, Nikkei, Manufacturing Business Technology, Supply & Demand Chain Executive, and Field Service News, among others. Brooks holds a BS from Northeastern University and an MS, Management from Lesley University. He also is the co-founder of the Brooks Family Foundation.

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As technology continues to improve, large companies and supply chain manufacturers have more opportunities to expand their businesses and reach more customers with their products. With this power comes responsibility, calling for transparency in supply chains.

Reliable tracking systems must be implemented to enhance supply chain transparency and ensure businesses and customers get the accurate information they need. Real-time visibility platforms (RTVP), new technology and optimized data collection can create more visible supply chains.

What Is a Real-Time Visibility Platform?

Real-time visibility allows for the tracking and monitoring of products and goods, from pickup to delivery. With real-time data, all steps involved in the supply chain process are receivable, making it much easier for large companies to provide honest product and transportation details.

Real-time visibility platforms are the software tools and technologies that make this data possible. RTVP gathers data based on live updates on product location and status.

What Technologies Play a Part in Real-Time Visibility?

Like many things today, real-time visibility would not be possible without technology. As systems continue to grow, so does the potential for full transparency.

Many technologies work together to make real-time visibility possible. The following are some of the tools used to streamline processes and maximize supply chain transparency:

1. GPS

GPS technology has become an integral part of the real-time visibility process and enables RTVP to track objects for accurate data. GPS technology uses satellite signals and signal reception to capture the location of items, roads and buildings, and it sends this data back to our devices.

GPS technology does wonders for the transportation industry. By accurately tracking trucks and other transportation vehicles, we can watch products travel from point A to point B and make decisions based on their location.

2. AI

Artificial intelligence has entered many realms of society, including the supply chain. Fortunately, AI makes RTVP possible for various transparency purposes.

AI considers all factors and works alongside humans to enhance decision-making and efficiency, leading to a faster, safer and more honest supply chain. AI also powers advanced analytics to help humans and businesses analyze real-time data, making it applicable to all industries.

3. Internet of Things (IoT)

IoT creates a robust network that allows data to flow freely and improves connection and communication between different devices. Through this created network, IoT can narrow down specific items and points of data to share information and even make decisions.

From quantity to fulfillment, IoT processes data through algorithms that contribute to accurate, real-time visibility.

4. Blockchain

Blockchain acts as a safety tool for RTVP, “blocking” hackers and other forms of data manipulation. There are four main types of blockchain: public, private, hybrid and consortium. Each form creates a securely shared network of data that allows parties to communicate.

Blockchain allows equal access for all parties, and there is no single network owner. This provides for ethical, open movement throughout the supply chain and adds transparency to traditional supply chains.

Why Implement a Real-Time Visibility Platform?

Real-time visibility platforms provide endless benefits to supply chain industries. RTVP acts as a high-functioning network of technology and intelligence to help businesses identify areas for improvement and solve problems in all areas — from ethical to logistical.

With RTVP, there is no shortage of possibilities. The following are four benefits of implementing a real-time visibility platform:

1. Ensure Customer Satisfaction

Without RTVP’s technology, product location and safety are unknown to businesses and customers. When companies implement a real-time visibility platform, “the unknown” is eliminated. With access to knowledge such as when and where their goods will arrive, customers know exactly what to expect.

RTVP shares information with customers they previously did not have access to, such as ETAs and tracking details. The more customers know, the happier they will be!

2. Speed up Reaction Time

RTVP gives companies the power to detect precisely when and where disruptions occur, from departure to arrival. If an issue arises along the way, businesses know in real time, allowing them to immediately develop a direct course of action.

Companies can mitigate risks with transparent access to data, which reduces wasted time spent planning strategies and reacting to issues. RTVP allows for the tracking of delays, traffic, congestion, weather and anything else that could pose a potential threat.

3. Reduce Costs

Implementing a real-time visibility platform provides many financial benefits. Companies have access to trucks and products, allowing them to see available capacity and, in turn, utilize all available space. This creates sustainable, efficient transportation and also cuts costs.

Many industries are now dealing with labor shortages, rising material costs and an ever-changing risk landscape. With RTVP, industries can detect traffic, weather conditions and other risks to product transportation, reducing the risk of unnecessary financial burdens. With saved time and money, industries can focus on solving more significant issues.

4. Improve Relationships

RTVP uses technology to improve relationships between all parties involved. With transparency and proper information sharing, people can access honest details, avoiding the risk of being blindsided or misinformed.

Transparency positively impacts shippers, managers, workers, clients and customers, resulting in better collaboration and more satisfied people. RTVP also enhances communication, allows for honest lane sharing and improves handoffs and business interactions.

Use RTVP for Supply Chain Transparency

RTVP allows supply chain leaders and manufacturers to stay ahead of their industry and interact with advanced modern technology. Businesses can work hand in hand with real-time data to make their processes more efficient and keep customers satisfied. With RTVP,  transparency is possible.

***This article is written by Jack Shaw. Jack is a seasoned automotive industry writer with over six years of experience. As the senior writer for Modded, he combines his passion for vehicles, manufacturing and technology with his expertise to deliver engaging content that resonates with enthusiasts worldwide.

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Exploring the dynamics of effective warehouse management reveals a myriad of strategies that significantly enhance operational efficiency and productivity. Focusing on best practices within the warehouse setting not only streamlines operations but also cultivates an environment poised for growth and adaptability. This article delves into essential techniques that are pivotal for modern warehouses aiming to thrive in an increasingly competitive landscape.

Streamline Your Space

You can achieve optimal performance by maximizing the layout and space utilization in your warehouse. By carefully planning and organizing the floor space to minimize movement, you ensure that your most frequently accessed goods are easily reachable. Vertical stacking and the use of adjustable shelving systems can significantly increase your storage capacity. Incorporating these practices creates an organized, efficient workspace that enhances overall productivity. Smart layout adjustments can also contribute to safer work conditions and reduce the risk of inventory damage.

Prioritize Safety Always

Ensuring a steadfast commitment to safety measures is essential for avoiding mishaps in your warehouse. Schedule and execute continuous safety training throughout the calendar to maintain awareness and adherence to crucial safety guidelines. Such consistent updates help embed these practices deeply into everyday activities, securing a safe working environment for all staff. Enhanced safety awareness not only diminishes the likelihood of incidents but also minimizes operational interruptions.

Harness Technology

Leveraging technology and automation in your warehouse can transform mundane tasks into high-efficiency operations. Consider implementing robotic systems for repetitive tasks such as packing and sorting, and use conveyor belts to minimize manual handling. Advanced technology like drones for inventory checks can save you time and labor. Integrating these innovations ensures your warehouse stays competitive in a rapidly evolving market. Furthermore, automation can significantly lower human error rates, leading to more reliable operations.

Master Inventory Management

An effective inventory management system is essential for maintaining the flow of goods in and out of your warehouse efficiently. Utilize modern software that offers real-time tracking and data analytics to keep tabs on inventory levels, order status, and logistical information. This integration allows you to forecast demand more accurately and manage stock levels to prevent both surplus and shortages, ensuring a smooth operation. Proper management systems enhance both speed and accuracy in order fulfillment. Streamlined inventory processes also help in reducing carrying costs and improving customer satisfaction.

Cultivate Clear Communication

Clear and efficient communication is the backbone of successful warehouse operations. Ensure that all team members are equipped with handheld devices that allow for real-time updates and communication. Establish a centralized digital notice system where updates and operational changes can be disseminated quickly. A well-structured communication process minimizes confusion and improves overall efficiency. Effective communication protocols facilitate quicker decision-making and response times in critical situations.

Commit to Continuous Training

Regular training sessions are crucial for maintaining high standards of operation in your warehouse. By continuously educating your staff on the latest operational practices and technology, you empower them to perform their roles more effectively. Regular training fosters a knowledgeable workforce that can adapt to new challenges and technologies as they arise. Investing in training improves both employee performance and job satisfaction. Ongoing education also promotes a culture of safety and efficiency, crucial for long-term operational success.

Embrace Regular Audits

Performing regular audits helps you identify areas for improvement in your warehouse operations. Use these audits to assess and refine workflow, inventory management, and efficiency. Continuous improvement initiatives should be a part of your operational strategy, aiming to enhance quality, reduce waste, and optimize overall performance. Regular feedback from these audits paves the way for incremental enhancements that lead to significant benefits. Audits also ensure compliance with industry standards and regulations, safeguarding your business against legal and financial penalties.

Refining warehouse operations through best practices is an ongoing journey that demands attention to detail and a proactive approach to management. As industries evolve and new technologies emerge, warehouses that prioritize efficiency, adaptability, and continuous improvement will stand out as leaders in their field, ready to meet the challenges and opportunities of the future.

*This article was written by Dean Burgess. Dean runs Excitepreneur, which celebrates the achievements of entrepreneurs. He understands that there are many types of entrepreneurs, and strives to provide helpful information to assist them in achieving their particular idea or goal.

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Efficient warehouse management is crucial for the success of any business. However, numerous challenges can hinder operations and impact overall profitability. Understanding these obstacles and implementing effective solutions is essential for optimizing warehouse performance.

Common Warehousing Challenges

Ineffective warehouse management practices, such as inadequate order and inventory management, can lead to significant inefficiencies and losses. Inaccurate data, inconsistent tracking, and insufficient space further exacerbate these issues. Additionally, erratic changes in demand and economic fluctuations can disrupt operations and make it difficult to maintain optimal inventory levels. Packaging wastefulness and design shortcomings can also contribute to increased costs and environmental concerns.

Optimizing Inventory Management

To address inventory management challenges, businesses should invest in advanced technologies and streamline processes. Implementing cloud-based inventory management platforms with demand forecasting tools and automated reordering systems can help optimize stock levels and reduce carrying costs. Utilizing mobile productivity tools allows for real-time inventory tracking and control, improving efficiency and accuracy.

Enhancing Warehouse Layout and Space Utilization

Maximizing warehouse space utilization is crucial for optimizing operations and reducing costs. Implementing a well-designed warehouse layout, incorporating storage solutions that maximize vertical space, and utilizing advanced warehouse management systems can help streamline workflows and improve productivity.

Leveraging Technology and Data

Technology plays a vital role in modern warehousing. Implementing barcode technology and system-directed pick/put-away procedures can significantly improve order fulfillment accuracy and speed. Digitizing documentation and utilizing data analytics can provide valuable insights into inventory levels, customer demand, and operational performance.

Addressing Packaging and Sustainability

Packaging waste and design shortcomings can impact both costs and environmental sustainability. Collaborating with pharma packaging machine manufacturers to optimize packaging design can help reduce waste and improve efficiency. Additionally, implementing recycling programs and using sustainable packaging materials can contribute to environmental responsibility.

Overcoming warehousing challenges requires a combination of strategic planning, technological advancements, and efficient processes. By addressing issues such as inventory management, space utilization, and packaging optimization, businesses can improve operational efficiency, reduce costs, and enhance customer satisfaction. The resource below provides a visual overview of common warehousing challenges and potential solutions.

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It’s no secret that manufacturing and supply chain organizations are constantly in pursuit of a greater degree of efficiency. This is the key to remaining competitive in both increasingly contentious markets.

It’s also no secret that attaining a higher degree of efficiency is harder than it looks. Supply chain organizations have faced disruption from multiple angles, with decentralized distribution, competitors with a higher level of digitalization, and the deglobalization of trade causing them to fall behind. Similarly, manufacturers are attempting to ride out the silver tsunami and the resulting gap in team member experience while doing so.

Automation is already impacting both industries for the better, providing accurate analytics, monitoring and limiting resource expenditure, and removing manual tasks from employee dockets. But newer technological innovations promise to be a massive boon for both industries, optimizing operations, further streamlining decision-making, and enhancing productivity. Digital twins technology offers insights that revolutionize traditional manufacturing and supply chain management – and we’re about to break down exactly how.

What is Digital Twins Technology?

A common misconception that surrounds the topic of digital twins technology is that it’s just another form of 3D modeling – a sensor, a software platform, or a particularly creative application of artificial intelligence (AI).  Digital twins are, in fact, none of these things.

Digital twins are an amalgamation of technologies that work in tandem to record, model, and simulate projects in real time. The technologies involved in this process will range according to organizations’ capabilities and needs but often include sensors, augmented reality tools, modeling software, and AI. Far from a simple model, digital twins technology tests, records, and reports key data points to leadership, unlocking agile decision-making on an unprecedented level.

Let’s quickly break down some of the use cases for digital twins in supply chain and manufacturing organizations:

• Predicting future bottlenecks with algorithmic insights: Instead of reacting to bottlenecks as they crop up, digital twins can model manufacturing and supply chain processes proactively. This empowers leaders to make decisions to avoid or break bottlenecks before they occur, instead of manually going back over data after an incident occurs to discover what went wrong.
• Assessing alternate plans of action: Unforeseen variables can always impact your ability to deliver – unless, that is, you have an algorithm on your side that can predict likely pain points and chart alternative plans of action. Digital twins can be used to test the viability of plan Bs and Cs, allowing you to react quickly when disaster strikes.
• Organization-wide transparency: When you create a digital twin, it stores its information in a widely accessible single source of truth, allowing stakeholders across the organization to see and understand what’s going on at every level.

Manufacturers in particular will see a massive value-add from digital twins technology, as it can be used to:

• Develop and virtually test stronger concrete;
• Improve yield sizes and limit defects in steel production;
• Accurately estimate costs and inventory;
• Design and create environmentally resistant structures.

While it’s not the most buzzed about technological innovation on the market, digital twins are certainly one of the more useful types of technology for manufacturers and supply chain organizations.

Digital Twins, Your Network, and Expanding Your Infrastructure

Digital twinning also has implications for your network, especially if you’ve already made the switch from copper to fiber. Employing digital twins technology necessitates a high capacity for data transference, as a large quantity of data will be consistently transferred to your single source of truth. While switching from copper to fiber can somewhat fill that need, depending on your network’s capacity and the quality of the components within, you may find that your current network doesn’t adequately support your data-transmitting needs.

Taking the step to convert to a dark fiber network is one possible solution, as dark fiber networks grant a robust, scalable network infrastructure that is entirely customizable according to need. Organizations that need to expand their bandwidth while also maintaining network security and consistent uptime may consider switching to dark fiber, as it is a high-capacity, consumer-controlled network that can effectively replace inferior infrastructure overnight.

Another option is actually using digital twins technology to replicate and reinforce your network. Creating a network digital twin allows you to connect tasks with network performance, granting you control over all facets of your network’s lifecycle. Similarly to how digital twinning allows you to identify bottlenecks and potential impediments to swift service throughout your operations, network digital twinning replicates those benefits for your network.

Either option will allow you to boost your network’s performance while also granting you a greater degree of visibility into and control over said network. This is key when using a technology like digital twins, which can consume quite a bit of bandwidth, as it allows you to reap the benefits of this technology without any unintended consequences.

Digital twins technology can empower manufacturers and supply chain organizations to drive efficiency, regaining a competitive edge in markets overrun with disruptions. With the right solution and the infrastructure to support it, you’ll find efficiency, customer satisfaction, and profits spike.

*This article is written by Ainsley Lawrence. View more of Ainsley’s articles here.

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Electric vehicles (EVs) have become more mainstream in today’s automotive industry, and the next few decades will see automakers electrifying their lineups and emphasizing emission-free cars. Some consumers hesitate to drive EVs because of their battery range, so how will auto manufacturers improve these critical devices? Here’s how far battery technology has come and what to expect in the future.

How Far Has Battery Technology Come for EVs?

The first EVs hit the road in the late 19th century, as inventors used primitive technology to power their machines. One of the first EVs came from Gustave Trouvé, who used a rechargeable battery to power a tricycle in 1880. By 1888, German engineer Andreas Flocken invented the first four-wheel electric car using a motor with about 1 horsepower. While it could only drive 9 mph, Flocken’s machine would be inspirational.

Modern EV batteries date back to 1997 with the EV1 from General Motors (GM). This vehicle didn’t last long on the market — as GM destroyed most of the cars — but its battery technology was critical for future machines. The EV1 used lead-acid batteries and had a range of about 74 miles before needing a charge. Nickel-metal hydride batteries doubled the range to 150 miles thanks to increased efficiency.

These batteries seem primitive by modern standards but were critical for the time and the evolution of battery technology. The inventions set up EVs to have improved technology for today’s EV revolution.

What EV Battery Technology Is Available Today?

Auto manufacturers transitioned from lead-acid to lithium-ion batteries in the 2010s, following Tesla’s success with the Roadster in 2008. The California-based EV manufacturer was the first to use these advanced devices in a car, with each system containing 6,831 lithium-ion cells for increased efficiency.

The Roadster could travel 200 miles on a single charge, giving consumers hope that manufacturers could produce efficient EV batteries and compete with gas-powered cars. Tesla’s innovation led to the Nissan Leaf, the Renault Fluence Z.E. and other mass-produced EVs utilizing advanced technologies.

This decade, EVs have improved their range and become more palatable for consumers needing reliable machines. While electric cars occupy a small market share now, experts say EVs will constitute 45% of new car sales by 2035 — signaling a significant shift in the automotive industry.

Most modern EVs still use lithium-ion batteries because they’re the most efficient mainstream option. However, researchers have found ways to improve battery technology and make electric cars more efficient.

What Does the Future Hold for Battery Technology?

EV demand has slightly slipped after a successful run in the late 2010s and early 2020s. Multiple automakers have announced they are pushing back EV production timelines because consumer desire has dropped. How can automakers pull customers back into buying EVs?

Making batteries more efficient to compete with gas-powered cars is a crucial first step. Additionally, manufacturers must produce more sustainable batteries to comply with environmental, social and governance (ESG) policies. Here are a few innovations on the horizon to improve EV battery technology.

Sodium-Ion

Sodium-ion (Na-ion) batteries are an emerging favorite for lithium-ion alternatives because they cost less and are currently in production in some countries. The International Energy Agency (IEA) says China plans to reach 30 production plants for creating Na-ion batteries, and it won’t be long before this technology spreads worldwide.

Na-ion batteries are advantageous because they contain no lithium, an expensive material for EV production. This alternative is cheaper and more accessible for the average EV driver. Using a Na-ion battery also brings advantages like faster charging and a reduced risk of overheating.

Cobalt-Free

Some question the sustainability of EV batteries, considering their use of cobalt. Much of the world imports this metal from the Democratic Republic of the Congo, where workers suffer adverse working conditions. Mining cobalt leads to polluted water and toxic effluents for the employees and surrounding communities.

These controversies have led researchers to develop cobalt-free batteries and boost sustainability. For instance, the University of Texas-Austin has created a battery using 89% nickel, with manganese and aluminum constituting the other elements. These cobalt-free batteries are less expensive and more energy-dense, making them a popular alternative for future developers.

Solid-State

EV batteries can be a liability in extreme hot and cold because the device must work harder to power the car. Using lithium-ion batteries means the liquid electrolyte solution is vulnerable to weather, so how can manufacturers remedy the problem? Solid-state batteries require no liquid or gas in their composition, making them a more stable alternative to lithium-ion devices. Removing liquid also means a reduced chance of leaks under the hood.

Solid-state batteries have existed for a while, but manufacturers like Toyota have improved them thanks to sulfide superionic conductors and other innovations. These batteries aren’t available in current vehicles, but reports say Toyota will implement them for commercial use by 2027. However, timelines could shift due to the supply chain and new research.

Advancing Battery Technology for EVs

Automakers are leaning into EVs to reduce emissions and meet sustainability goals. While technology has evolved, batteries have been an obstacle for consumers due to their perceived lack of range and reliability. Lithium-ion batteries have made EVs more efficient, and more innovations will arrive to boost range and safety.

*This article is written by Jack Shaw. Jack is a seasoned automotive industry writer with over six years of experience. As the senior writer for Modded, he combines his passion for vehicles, manufacturing and technology with his expertise to deliver engaging content that resonates with enthusiasts worldwide.

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Challenges are not new to the mining industry and 2024 is shaping up to hold several, from ESG pressure to labor shortages. But by focusing on challenges as opportunities to optimize, this resilient industry will no doubt weather these headwinds.

Here are the top issues, challenges and trends we’re seeing on the road ahead.

ESG (Environmental, Social, Governance)

According to 2024 research at EY, mining executives are looking at ESG as the biggest risk to their business — the third consecutive year ESG has received that dubious ranking. Why? It’s because of increasing scrutiny from investors and other stakeholders, and the likelihood of more strict regulations in the area of environmental protection and governance practices. All of which could lead to higher capital costs for mining companies that have to play catch-up in terms of ESG measures and compliance, like investment in new technologies and efforts toward carbon capture and storage. However, there’s a silver lining here for companies that take the lead in these efforts. It can put them on top in terms of attracting the best talent and capital investments, both of which are poised to be problematic this coming year.

Another thing about the environment …

In addition to mounting governmental pressure and stricter regulations in terms of ESG, there are other factors (and fallout) related to the environment as well. Shifting demand could mean changes in operations and production. For some companies, it may mean less demand for the materials they’re mining. For others, especially those that are focusing on nickel and lithium used in EV batteries, it means a boom.

Capital investments

That EY survey of mining executives cites capital as the second most pressing issue for the industry, behind (and hand-in-hand with) ESG. It’s shaping up to be a race for investments to facilitate the exploration for and extraction of minerals like nickel, copper and lithium, all crucial to the energy and environmental initiatives coming down the pike.

Delivering on growth projects

Linking to capital investments is the ability to develop new assets. Bringing new assets on-line faster, more responsibly and safer is more important than ever, especially in stable regions. Excelling in development projects is no longer a competitive advantage, it is an expectation from all stakeholders. Local communities and authorities expect a faster and larger return while shareholders expect a faster return on their investments. Executing growth projects on time, within budget and responsibly will define the exceptional from the pack.

Geopolitical instability

Ukraine, Israel, Gaza, and that’s just what’s making the headlines. Barring a holiday miracle, geopolitical instability isn’t going away anytime soon. In addition to the human toll, it means continued supply chain disruption, price volatility and more for the mining industry. It might mean trade tensions, embargoes, tariffs and other measures that impact the mineral trade, including “resource nationalism.”

Labor shortage

It seems like every year, we’re talking about a labor shortage in terms of recruitment and retention, and this year is no different for the mining industry. It’s particularly pressing because it’s a problem on two fronts. The labor shortage is impacting productivity today when you don’t have enough people to get the job done now. But it’s also the lack of a skilled workforce pipeline, people coming up and getting the skills they need to replace older, experienced workers who are retiring or leaving the workforce for other reasons. Workforce training, like we provide at USC Consulting, is the key to getting everyone on the same page, doing the same job the same way. It boosts productivity, which is an absolute necessity when you are feeling a labor crunch.

Technology

Technology and innovation will be big in 2024 for mining, as it will for most industries on the planet. Investments in automation will improve efficiency and safety, and it might help with the labor shortage as well. But technology advancements in mining aren’t really about the bots taking over people’s jobs. They can create new jobs and new opportunities for skilled workers which, in turn, will ratchet up productivity and process improvements mine-wide. Investments in new technologies will also help in areas of exploration, discovery and mineral extraction, again boosting productivity.

Cybersecurity

As data becomes king in all industries, not just mining, increasing digitalization heightens the risk of cyberattacks. Mining companies are considered high-value targets and are vulnerable to disruption, financial losses and more. Employee training, having a response plan in place and digital security measures are all important areas of focus for the coming year.

Remaining competitive through economic cycles or shocks

Many natural resource companies struggle to remain competitive through economic cycles or market and commodity shocks. The best possible operating efficiencies, productivity and lowest possible unit costs are the best insurance against these cyclical and adverse events. Companies design and develop good systems, but it is at the point of execution or operator level where the best distinguish itself from the others.

At USC Consulting Group, we understand what it takes to weather the headwinds for the Mining industry in 2024. We focus on optimizing processes and procedures, creating operational excellence and improving production to ultimately boost your bottom line and shore you up against whatever the coming year can dish out. Call us today to find out more.

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Statistical process control (SPC) is a commonly used machine learning software in manufacturing that measures the consistency of a product’s performance based on its design specifications. Minimizing variability is a crucial part of avoiding defects and maintaining resilient manufacturing operations.

This guide outlines the different ways that businesses can effectively utilize SPC and reap all of the benefits this technology has to offer.

How Statistical Process Control Works

SPC is a tried and true technology that businesses have been using for more than 100 years to improve their manufacturing operations. It conducts ongoing statistical analyses, taking into account factors such as the materials, design, employees who handled the product and the machinery used to create the product.

SPC’s constant vigilance enables businesses to make swift and accurate resolutions to quality control problems. However, it’s not fully autonomous like other manufacturing software that can identify statistical correlations without human help. Instead, it relies on large amounts of training datasets that another source must manually input to achieve the desired results.

This form of machine learning is known as supervised learning. Businesses can input human-labeled datasets by themselves, or they can recruit another algorithm to automatically input statistics in a process called “machine annotation.” In either case, SPC needs to absorb as much raw data as possible to maximize its efficiency.

SPC displays its findings in easy-to-read control charts, and it’s the business’s responsibility to set the parameters for each chart by providing the software with enough information. This process includes six basic steps:

1. Define the manufacturing process you want to monitor and control by establishing the input variables, output variables, equipment, materials and any other external factors that might affect the process.
2. Collect the data that the software extrapolated from the variables you provided, then organize it into a digestible format — usually a chart or spreadsheet.
3. Select and construct the control charts based on the type of data you’re using, such as weight, length, temperature and any defects that might have occurred.
4. Look for patterns in the control charts that indicate special cause variations in performance due to underlying defects. You can calculate process variability through a capability index, such as C, Cpk, Pp and PPk.
5. Investigate the root causes of the variations and make the necessary equipment, material or operational adjustments to correct them.
6. Continue to collect and organize data to identify more variations, updating the control specifications as needed.

This process sounds awfully similar to Statistical Quality Control (SQC), but there are some key differences. Statistical Process Control measures independent variables, while SQC strictly focuses on dependent process outputs. SQC also carries out acceptance tests by screening individual product samples, while SPC relies on large datasets and doesn’t have an acceptance testing feature.

Types of SPC Tools

Many types of analysis tools have developed during SPC’s century-long evolution. These tools are split into two main categories — basic tools of quality (7-QC tools) and supplemental tools (7-SUPP tools). Here’s a quick rundown of how businesses can use the 7-QC tools:

• Stratification: separating data into subcategories by unique characteristics to clarify the origins of an existing problem.
• Histogram: A bar graph that displays the frequency of variability and the most common offenders.
• Check sheet: A document with tabular or metric format that tracks the number of special cause variations.
• Cause-and-effect diagram: A chart that shows all of the factors that lead to special cause variations and draws potential correlations between them.
• Scatter diagram: A dotted diagram that displays the overlap between dependent variables on the y-axis and independent variables on the x-axis.
• Control chart: A line-based graph that shows processes’ stability levels and pinpoints the likely variation within produced items.
• Pareto chart: This chart applies the 80/20 principle — 20% of variables cause 80% of problems — to display the most common causes of manufacturing failures.

Stratification also often appears in the 7-SUPP tools category because of its versatility and importance to statistical analysis. Breaking up large datasets into smaller digestible chunks makes SPC software more accurate at identifying problems and reducing variability. Here are the other six 7-SUPP tools:

• Flowchart: A straightforward diagram that outlines the step-by-step process of a manufacturing sequence.
• Defect mapping: A chart that shows the different types of known product flaws within a business’s manufacturing operations.
• Events logs: A variable summary showing the chain of events that resulted from an undesired occurrence.
• Progress centers: Centralized locations dedicated to tracking improvements and supporting informed decision making.
• Randomization: The deployment of random manual and automated input variables to eliminate human bias.
• Sample size determination: Choosing the number of subjects to include in a representative group when tracking manufacturing trends.

Today’s SPC software modules include all of these tools, allowing businesses to access dashboards that display the various charts and diagrams in one place. These insights can lead to identification of quantifiable improvement opportunities that maximize operational efficiency.

Benefits of Using SPC

SPC is one of the most effective machine learning resources for achieving consistent performance in manufacturing operations. Eliminating process errors allows businesses to simultaneously address the three biggest challenges in material handling — workplace hazards, equipment damage and carbon emissions — in many ways:

• Reduces manufacturing costs
• Monitors employee productivity
• Improves resource utilization
• Optimizes manual inspections
• Reduces rework and warranty claims

When these benefits combine, the final result is a more satisfied client base and a more profitable business. While SPC software can’t do all of the inspection work on its own, the tools and insights it provides are invaluable in a manufacturing environment.

Use Statistical Process Control to Its Full Potential

Business leaders who are willing to put in the necessary effort to provide SPC software with large datasets can use this technology to its full potential. They will gain access to numerous eye-opening statistics about operational inefficiencies and have all the knowledge they need to make accurate adjustments.

*This article is written by Jack Shaw. Jack is a seasoned automotive industry writer with over six years of experience. As the senior writer for Modded, he combines his passion for vehicles, manufacturing and technology with his expertise to deliver engaging content that resonates with enthusiasts worldwide.

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The B2B supply chain is changing in this tech-forward world. Like so many other things, if you’re not getting on board with smart business tech, you could be missing out on important successes. That starts with your supply and integrating tech to reduce human error and track things more clearly.

As a B2B business owner, you already know that transactions tend to happen within the supply chain. Whether you’re a wholesaler or retailer, if you’re not using tech to keep track of your supply and your sales, your business might not be able to keep up with those who are integrating different types of tech – including cloud-based technology.

Let’s take a close look at how smart business tech is optimizing the B2B supply chain, and what steps you can take to implement more sophisticated technology into your management strategy.

Why Smart Tech Matters

Tech innovations aren’t just important for manufacturing purposes. They are extremely beneficial for every step in the B2B supply chain. If you’re a supplier, integrating smart tech into your supply chain strategy can help with things like:

• Compliance
• Cash flow
• Efficiency
• Accuracy
• Speed

You’re also reducing the risk of human error throughout the process, especially when it comes to processing and fulfillment. Integrating smart technology as a part of your risk management plan makes it easier to reduce risk and put plans in place for fast recovery if disaster does strike within your supply chain.

Additionally, when you use things like automation and AI, you’ll actually end up freeing up many of your employees so they can focus on other tasks while improving efficiency. Your business can grow, your employees can move up the ladder, and you can move more product safely and quickly.

What You Can Do Today

Although technology is quickly advancing, there is plenty of technology you can start implementing into your B2B supply chain strategy immediately. For example, Enterprise Resource Planning (ERP) software will help you overcome existing challenges you might face within supply chain management, including:

• Customer acquisition
• Retention
• A global shift toward e-commerce
• Time constraints

With this kind of software, you’ll enjoy seamless data transfer from system to system. This offers another opportunity to reduce human error while optimizing your efforts because you won’t have to rely on manual data entry. Instead, you’ll have a consistently-updated clear picture of your efforts.

You’ll also be able to take advantage of automated workflows and accurate shipment tracking while offering greater confidence in fulfilling orders on time.

Integrating ERP software into your existing system should be just the beginning when it comes to what you’ll be able to do in the future with smart business tech. As you continue to grow, take advantage of existing technology that is becoming more widely available to small businesses and enterprises alike.

Preparing for the Future

As our globe becomes inundated with fossil fuels, every business needs to do its part in reducing its footprint to succeed in the future. Luckily, our world has combined the power of technology and sustainability, and nowhere is that more evident than in solar power technology. In the last decade alone, the limits of solar technology have broken down significantly. Today, solar power has been used for a variety of purposes, including transportation, military defense, and even space exploration.

When it comes to harnessing solar power for your B2B supply chain, it can be utilized almost anywhere you’re currently relying on traditional forms of energy. You can take advantage of solar energy-powered transportation by integrating it into your fleet. Not only will it help to reduce your overall reliance on fossil fuels and reduce your budget for fuel, but it can shed a positive light on your business practices and help with client acquisition

In addition to solar technology, you should also be looking into 5G for the future of your supply chain. Integrating 5G into your existing supply chain tech will help to reduce disruptions and improve optimization efforts. Things like smart sensors can be placed on your fleet trucks to track product location or determine the cause(s) of delays in real time. Shipments can be tracked electronically to prevent cargo from getting lost. Again, the risk of human error will be greatly reduced this way. 5G makes it much easier to implement AI and automation into your strategy without having to worry about network lags or lapses in connection.

Many people look at the supply chain industry and automatically assume it’s outdated. Others think if it’s not “broken,” it shouldn’t be fixed. But, smart technology is already optimizing the B2B supply chain, and the businesses that don’t jump on board will experience greater losses, delays, and burnt-out employees for years to come. Consider some of the tech solutions you can implement now and in the future, and you’re likely to see greater success and more streamlined production.

*This article is written by Ainsley Lawrence. View more of Ainsley’s articles here.

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Studies have shown that over 40% of workers across various industries spend a significant portion of their workweek on repetitive manual tasks. In the manufacturing sector, these tasks often involve data collection and manual data entry, which many consider to be inefficient given the availability of advanced automation software in today’s market.

Innovative automation programs are designed to automatically collect, upload, or synchronize data into a system of record. This automation can help eliminate production bottlenecks and streamline manufacturing processes, ultimately improving output. Moreover, automation can significantly reduce the risk of human error, which can lead to injuries. In fact, a majority of workers (nearly 60%) believe that they could save six or more hours per week if the repetitive aspects of their jobs were automated.

Automation is not limited to the field personnel, as managers are also looking to streamline their own tasks. A renowned technological research and consulting firm predicts that by 2024, 69% of day-to-day managerial work will be fully automated. Examples of automatable managerial tasks include approvals, sign-offs, status updates, and confirmation requests. Increased efficiency in these operations can free up time for employees at all levels to contribute more strategically to the success of a business.

In addition to automation, cutting-edge robotic technology is also being utilized in many manufacturing organizations. Programmed robots or robot-controlled machines that use artificial intelligence (AI) can enhance a company’s assembly, material handling, and processing capabilities. Robots excel in predictable environments and can handle physically demanding or monotonous tasks that may negatively impact employee well-being or morale. This results in increased productivity and reduced labor costs.

Another type of robot gaining popularity is the collaborative robot, or cobot, which is specifically designed for direct human-robot interaction. Cobots are relatively new but are projected to have exponential growth in the market, with an estimated worth of nearly $2 billion by 2026, up from $590.5 million in 2020. Industry experts predict that by 2025, 34% of industrial robots sold will be cobots. Cobots are cost-effective, safe, and flexible, making them an ideal tool for small and mid-sized manufacturers to modernize their operations, reduce redundant tasks, improve productivity, and achieve peak performance.

To learn more about the impact of repetitive tasks in manufacturing and how technology can counter them, please refer to the infographic below:

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