Tag Archives: Process Improvement

 

If you’re considering hiring a management consultant to improve efficiency, reduce waste, optimize processes, or streamline workflows, you may be wondering how it all works and if it will disrupt your operations.

Management consultants serve as a trusted resource with a fresh set of eyes to analyze your operations and work together with your team to drive process improvements. Yes, you can do this internally and obtain results.  However, teaming up with consultants will accelerate your efforts while augmenting the deliverables, all while your team maintains focus on your #1 priority – your customers.

Management consultants can provide you with the expertise and boots-on-the-ground help to maximize your improvement efforts. Here’s a rundown of how the partnership works.

What is a management consultant?

Management consultants are experts in efficiency and process improvement, who come into a business, analyze your operations, identify gaps and inefficiencies, and then implement positive, impactful change. Implementation is a key difference between a management consultant and a boardroom consultant. Boardroom consultants’ work generally ends with recommendations for change. A management consultant gets into the thick of it, guiding and working with employees to effect that change.

As described in “Management Consultants vs Boardroom Consultants: Which is Right for You?”, management consultants start by listening and learning, then involve your entire team in the improvement process… from C-suite executives to frontline workers.

While C-suite participation is vital in their process, the nuts-and-bolts of the work centers on the employee level at the point of execution. That’s the best way to get to the root of the challenges, uncover opportunities for greater efficiency, optimize processes and in the end, increase profits.

With a management consultant, you can expect:

 

Here’s a primer in how management consultants team up with your organization.

Assess and analyze

It’s critical to first understand the client’s current state of operations (The “As Is”), employee behaviors and disciplines they are using to get the job done.

That’s why management consultants typically start by listening and learning to get a thorough understanding of a client’s current outcomes, their ideal outcomes and the gap that exists between the two.

For example, a food processing plant is getting X amount of throughput per shift. Ideally, they’d like to increase it by half. Is that goal feasible, and if so, what’s the best way to get there?

In this initial information-gathering phase, consultants perform a comprehensive analysis of your systems, procedures, and more. This system review tells the story of a company’s process and can depict how it will look with the deficiencies from current state corrected. It shows the flow of data, actionable information and decision-making points in a closed loop environment.

Process improvement methodologies

Management consultants use various process improvement methodologies and tools, depending on the needs of the project. They include:

Lean Six Sigma. LSS is a combination of two powerful methodologies, Lean, which focuses on limiting waste in a process, and Six Sigma, which focuses on increasing quality.

Sales, Inventory, and Operations Planning (SIOP).  SIOP aligns sales, inventory and operations planning functions to improve demand forecasting, efficiency, supply chain performance and more.

Employee Involvement Prototype (EIP) Process. The EIP process is unique to USC Consulting Group where we validate and measurably implement positive changes at a grassroots level. Your employees are the most vital components to every project and having them write the narrative to success is vital.  However, there are tactical steps that need to be followed in the EIP process and the strategy USC imparts is critical.

AI, Machine Learning, and Predictive Analytics. Much like Netflix’s use of predictive analytics created a seismic shift in consumer expectations, this technology is transforming operating procedures and processes. Predictive analytics helps companies better understand what’s occurring in any given process, refine and optimize processes, and more. But it also needs the human touch. People aren’t getting replaced by the bots in this area any time soon.

Prototype

Prototyping is a technique management consultants use that can be best described as starting small. Say a client has a manufacturing plant filled with machines that process their product. Prototyping involves choosing one area, one machine, one shift, and rolling out the plan for change in just that one place.

It serves as a pilot to demonstrate the effectiveness of new procedures, policies and practices.

The team of client and consultants outlines their plan and goals for any given day, or any given shift. After the day or shift is over, they compare their results to their plan. How did it work? Did they hit the mark? Why, or why not? What are the issues? Where are the bottlenecks? If they fell short, why? What can they do better on the next shift?

This part of the process involves weekly meetings with employees, managers and even the top brass to hash out these questions and devise solutions together.

Rollout

When the prototype is bullet-proof, it’s time to roll out the process companywide. Consultants may do this phase in stages, adding one or two more machines to the mix and repeating the prototyping process.

This phase constitutes the bulk of the project and involves careful monitoring, analyzing and reporting to measure its effectiveness and success.

Educate and support

Solid change management is critical and one of the most important elements of that is to involve employees in the new processes, policies and procedures from the beginning. Educating the client’s employees on the how and why changes are made is the key to lasting success and ensures sustainability for the process improvements.

At USC Consulting Group, we are management consultants. We roll up our sleeves and engage with our clients to implement positive, impactful change, both financially and operationally. It’s very much a “with” and not “to” attitude.

If that approach sounds right for your needs, give us a call. We’ll be happy to talk with you about the positive change we can bring to your company.

Contact USC Consulting Group

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You’ve hit a snag in your operations. You’re wondering if your manufacturing line could be more productive. Your demand forecasting didn’t hit the mark. You’d like to increase your throughput without adding machines.

Whatever the reason, you’re thinking about bringing in an outside consultant to ramp things up. Now what?

You’ll find two types of consulting firms out there. Boardroom consultants and Management consultants. What are the differences between the two approaches? Which is best for your situation?

Here’s a consultant primer to help you sort out those questions and make the right choice.

Boardroom consultants

Boardroom consultants do most of their work with the upper management of the company. They typically come in, perform a three-to-four-week analysis of a client’s operations, provide a report of their findings, give recommendations for improvements, and then head out the door leaving the client to implement their recommended changes.

With a boardroom consultant, you can expect:

These are valuable strengths that can benefit companies, no doubt. If what you’re looking for is an analysis of your operations from an outside perspective, this type of consulting can get the job done.

However, boardroom consultants have their limitations, including:

Management consultants

Management consultants start by listening and learning… and not just in the boardroom.

Management consultants value and rely on C-suite participation in their process, but the bulk of the work centers on the employee level, at the point of execution where the job gets done.

As a part of their process, management consultants work on the front lines with employees. In their view, that’s the best way to get to the root of the problem and uncover ways for the company to become more efficient.

With an management consultant, you can expect:

Factors to consider when choosing the right type of consultant

How do you know which approach is right for you? Consider these factors:

At USC Consulting Group, we are management consultants. We roll up our sleeves and engage with our clients to implement positive, impactful change, both financially and operationally. It’s very much a “with” and not “to” attitude.

If that approach sounds right for your needs, give us a call. We’ll be happy to talk with you about the positive change we can bring to your company.

Contact USC Consulting Group

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Labor shortages, supply chain disruption, and technological change have been cause for concern for executives in the manufacturing industry the last few years. As 2024 draws to a close, business leaders are looking ahead to the coming year. What will manufacturing be facing in 2025?

Here are five trends and challenges we’re expecting for the manufacturing industry in 2025 and advice on how to handle each issue.

1. Digital transformation

It’s not that AI and technology are coming for people’s jobs. It’s about this technology being able to streamline how the job gets done, adding speed, quality, and efficiency to the process. The 2024 Manufacturing and Distribution Pulse Survey Report by Citrin Cooperman found 43% of leaders in manufacturing are currently implementing advanced tech programs and policies in their organizations.

It’s involving AI and Machine Learning to optimize processes and outcomes, the Internet of Things (IoT) which will use smart technology to have machines communicate their own glitches and needs for maintenance, and robotics and automation for tasks like assembly.

The end goal is to increase predictive maintenance, optimize processes, ramp up quality control and provide real-time data for better decision making.

What manufacturing should do:

At USC, we help clients use AI, Machine Learning, and Predictive Analytics to optimize their workflows, processes and demand forecasting. Companies should be using these techniques now, if they’re not already. It’s also crucial to upskill existing employees to be able to work with the new technologies. That’s a win-win for manufacturing companies and their workforce. Higher skilled employees are happier, more effective, and more loyal to the company.

2. Talent

Workforce development, skills gaps and employee retention will be the top issues in regard to talent in 2025. It has been estimated that 1.9 million manufacturing jobs could go unfilled over the next decade if talent challenges aren’t solved. The old guard, long term, experienced employees that executives rely on to get the job done are retiring without a strong pipeline of younger workers to take their place. In addition, the labor force itself is concerned with flexibility, hours, pay, child care and more.

But there’s also the issue of skills. A new study by Deloitte and the Manufacturing Institute found that the need for roles requiring higher-level skills, including technical, digital and soft skills are growing at a rapid rate.

What manufacturing should do:

Working with local trade schools, community colleges and even high schools to offer internships and apprenticeships is a great way to build the talent pipeline.

Also, offering current employees training in digital skills, as well as soft skills like leadership and management training, will provide the company with higher-skilled workforce. This will create a sense of loyalty and pride in the employee knowing the company is investing in them with an eye toward the future.

3. Sustainability

The focus on sustainability is everywhere. Manufacturers are feeling increased pressure to become greener, and as a result are implementing environmental, social and governance strategies.

There is governmental pressure because of tighter environmental standards, but there is also pressure coming from consumers who increasingly want and seek out goods that are manufactured with “clean” methods.

What manufacturing should do:

Continuing to investigate efficient technologies like solar and wind, and making investments in machinery and other assets that are more energy efficient, will be crucial in the coming year and beyond. It will help lower operating costs while satisfying the demand from consumers.

4. Supply chain

Supply chain disruption that plagued just about every business on the planet during the pandemic has eased to a great extent, but challenges are still out there. Lead times for materials is still high, and the cost of transportation and logistics is weighing on companies’ bottom lines.

Shipping delays and uncertainties are a big part of the problem, with headlines nearly every day of yet another cargo ship being attacked at sea.

Then there’s the issue of labor shortages all along the supply chain, both in foreign countries and the U.S., with labor strikes slowing down delivery and labor shortages of truck drivers adding to the snarl.

What manufacturing should do:

It’s extremely challenging for companies to combat labor shortages and shipping delays in their supply chains, but smart demand forecasting and considerations like reshoring supply sources can help. In addition, establishing a strong Sales, Inventory, and Operations Planning (SIOP) program will optimize your supply chain.

5. Tariffs

With a new administration may come new global trade policies, and it’s not just the U.S. that held elections in 2024. Many countries around the globe are restructuring leadership. Ongoing U.S.-China trade tensions will certainly intensify as a result of the tariffs the new administration is proposing, driving up the cost of materials for manufacturers.

What manufacturing should do:

Many manufacturers are ordering supplies and materials now, before the new administration takes over. Stocking up now, in case of major price hikes later.

This issue goes hand in hand with supply chain disruption and is one more reason to consider reshoring and nearshoring of supplies and materials.

The Outlook

Despite ongoing challenges, 2025 looks bright for manufacturers to grow their businesses. Adapting operations to be sustainable and incorporating advanced technology with an upskilled workforce to manage it, business leaders will enjoy major improvements to productivity, their supply chain, and customer satisfaction.

At USC Consulting Group, we’re here to help manufacturing companies become more productive and profitable with standardized operating procedures, enhanced management operating systems, SIOP improvements, and other strategies to find opportunities for greater efficiencies, increased throughput and bottom line results. Contact us today to have your operations humming in 2025.

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There is one element of an organization that holds significantly more value than any other aspect and yet many companies overlook it.

Focusing on this critical piece of your business leads to increased productivity, improved efficiency and safety, and higher customer satisfaction.

This essential asset… your employees.

At USC Consulting Group, we understand the value of your people and why it is so vital to empower them to be the best they can be.

One key to our success is a strategy we call the Employee Involvement Prototype (EIP) process. This gets to the heart of what makes companies tick.

The EIP process is one of the cornerstone techniques USC uses to validate and measurably implement changes to a company’s management operating system. The secret of it all is getting onto the shop floor at the point of execution and talking to employees to obtain their feedback and insights.

But change is hard

We’ve been in the consulting business since 1968 and have learned a few things about change in that time. When we go into a company, it’s because something isn’t working and needs to be tweaked, optimized or even overhauled. That usually involves changing the way things are done, day to day. But here’s the thing about change. It’s difficult and people don’t love it, especially if it’s coming from a consultant.

In the end, when we’ve finished our work and the company is functioning more efficiently and effectively, like a well-oiled machine, people are happy with the changes we’ve implemented. But it can get pretty dicey when you tell a shift boss who has been on the job for decades that the “way they’ve always done it” can be improved upon. It messes with their sense of competency, job satisfaction and know-how.

That’s why the EIP process is such a powerful ally.

Why the Employee Involvement Prototype process works

The Employee Involvement Prototype process is a method of introducing change on a small scale that involves the people who do the work. You can’t change the whole plant at once, we need a good point to start.

First, together we pick an area that has a need to improve and is open to change. An area where we can start to fill in the gaps and address the issues we have observed. Then, design or enhance the needed tools and demonstrate our techniques. We have open dialogue between USC, the employees and on up to management with daily meetings. These meetings are held on the floor, in the area where the work takes place.

We spend time observing how things are currently done. We talk to the employees on the front lines and ask for their input.

The answers to these questions become employee identified opportunities for improvement.

And it’s not just us out there. We involve the top brass at the company and encourage them to walk the shop floor with us.

Along the way as we’re rolling out changes, we have daily EIP meetings. The key agenda points are:

You find a lot of wisdom on the shop floor from people who have spent years, even decades, doing the job.

It allows us to identify the root cause of operating problems and implement permanent solutions.

This simple tactic works on many levels. Here’s how and why:

Employee buy-in. When change is foisted on people, they don’t like it. They might even fight against it and undermine it. But when you involve employees in creating change, that creates ownership, pride and ultimately, buy-in. They become the champions for the change.

Demonstrates the USC difference. Employees can be quite skeptical of outside consultants. The EIP is a very rapid and concrete way for the company leadership to show their employees that this effort is different. They have likely never seen their managers and executives in the workplace striving to fix issues.  We spend the shifts in the area, seeing the process in action and demonstrating that we are interested in what is really going on.

Quick results. We call the EIP a starting point, a “pilot” in which we begin with one machine or in one area of a plant where we can start to engage the client in the change process, the tools we use, and how it all works. It allows us to start small, and if something isn’t working, we can correct it quickly.

Bottom line, it’s all about involving employees in the changes we’re making. In the end, they’re the ones whose day-to-day will change, so they should be part of the team that uncovers the problems and finds solutions.

For more info into what USC Consulting Group does and how we do it, read “How USC Consulting Group Accelerates Your Process Improvement Efforts.”

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At USC Consulting Group, we’ve been empowering performance for more than 50 years. What does that mean?

It means we’re an operations management and process improvement firm that empowers your people and processes to achieve operational excellence.

The below graphic lays out our experience and the areas we specialize in:

USC Empowering Performance Infographic

Let’s look in more detail at how USC partners with you to accelerate and augment your process improvement efforts.

What we focus on

Operational excellence. We help clients define and implement a strategic approach to achieving and maintaining the highest levels of operational performance. It’s about eliminating waste, improving quality and ramping up productivity.

Process improvements. We look at your processes through the lens of efficiency and effectiveness. We identify bottlenecks that might be slowing down your workflow, assessing the “we’ve always done it this way” processes that every business has. We find that a fresh set of eyes on these types of long-held processes can yield more effective ways to achieve results.

Optimal efficiency. This is about the “well-oiled machine” factor. Everyone knows what that is, although it’s different for every company. It’s when you’re cooking and booking, churning and burning, and achieving the maximum throughput for your efforts.

Supply chain optimization. In the post-Covid era, we’re still seeing supply chain disruption and the headaches they cause. We help companies analyze their supply chain networks and spot inefficiencies and bottlenecks. Is there a supplier closer to home? Is it time to reshore? Can we improve procurement or logistics?

Change management. Many of the process changes we recommend involve new ways of doing things – perhaps significant changes. With training and development, strong communication and getting feedback and input from stakeholders, we can help companies embrace change for the better.

Asset Performance Management. At USC, we focus on getting the most out of the assets you already have. Heavy investments in new technology is not always necessary, especially if your old workhorses just need some care and feeding. Applying predictive maintenance to reduce unplanned downtime, usage that doesn’t cause more wear and tear than necessary, and processes to extend the lifecycle of the tools you rely on.

EBITDA improvement. This refers to a company’s Earnings Before Interest, Taxes, Depreciation and Amortization. Sounds like your worst day in the accountant’s office, right? But it’s really about helping clients look for cost-savings opportunities, revenue enhancement, and more. It’s also about everything else we do – productivity improvement, asset management, operational efficiency, cost reduction and more.

How we do it

How do we enhance our clients’ operations? We’re experts in process improvement methodologies and tools, like:

Lean Six Sigma. LSS is a combination of two powerful methodologies, Lean, which focuses on limiting waste in a process, and Six Sigma, which focuses on increasing quality.

Sales, Inventory, and Operations Planning (SIOP). In a nutshell, SIOP aligns sales, inventory and operations planning functions to improve demand forecasting, efficiency, supply chain performance and more.

Employee Involvement Prototype Process. One of the cornerstone techniques USC uses to validate and measurably implement changes to elements of the MOS with full client personnel engagement. Your employees are the most vital components to every project, especially the workers in the trenches on the shop floor or production site. We involve them every step of the way.

System Reviews. We do a comprehensive analysis of your systems, processes, procedures and more. System Reviews tell the story of a company’s process and depicts the future state MOS with the deficiencies from current state corrected. It shows the flow of data, actionable information and decision-making points in a closed loop environment.

LINCS advanced reporting tools. The Lean Information Control System (LINCS) is a state-of-the-art software application that facilitate fact-based decision making from the shop floor to the boardroom. It includes modules for advanced planning, manufacturing and logistics, value stream mapping, scheduling, inventory analysis and more. Operators are able to see and evaluate their work as it takes place, while executives and managers are better equipped to prioritize activities based on accurate, actionable information.

AI, Machine Learning, and Predictive Analytics. Much like Netflix’s use of predictive analytics created a seismic shift in consumer expectations, this new technology is transforming operating procedures and processes. Predictive analytics helps companies better understand what’s occurring in any given process, refine and optimize processes, and more. But, it also needs the human touch. People aren’t getting replaced by the bots in this area any time soon. To learn more, download our free eBook: AI and Machine Learning: Predicting the Future.

Our 55-plus years of experience covers a wide variety of industries, including:

We have a defining principle to our approach that guides every project. We do not swoop in and tell companies how to do it better.

We are partners in the process. We work with your team to implement the changes at the point of execution.

We listen to what makes your company tick, observe your current operations, get a handle on the issues, involve your frontline employees in the process, and implement a plan for change.

We play the long game, delivering results our clients can maintain for years to come. We don’t have our 98% customer satisfaction rating for nothing.

That’s how USC Consulting Group empowers YOUR performance.

Contact USC Consulting Group

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Manufacturing can be a competitive industry. You not only need to produce innovative products that capture the market. It’s also essential to run efficient operations to keep your margins healthy. One of the elements that helps you achieve both of these is a high-quality workforce.

When your employees have the resources and skills to maintain high performance levels, you have a powerful tool to meet your company’s goals. Indeed, with continual development and nurturing, the group of professionals you cultivate can contribute to your successful growth. It’s well worth looking closer at some strategies that help you hone your workers into cohesive and productive teams.

Prioritize Communication

Any manufacturing enterprise features a range of professionals. One of the elements that helps this disparate workforce to function as a unit is solid communication. If there are hurdles to interactions, your workers are likely to be less efficient and less able to overcome challenges. Therefore, focusing on designing and implementing communication protocols is a key to better-performing teams.

The most straightforward protocols you can adopt are those that make communication easy and convenient for all staff members. This begins with establishing channels that offer multiple methods on a single platform. For instance, tools like Slack and Microsoft Teams enable staff members to direct message (DM) each other, have audio calls, and hold video conferencing all on an app they can store on their phones or computers. As a result, they can keep in regular contact with all colleagues present on the platform.

Another good step is creating an accessible organizational chart. This outlines the personnel in each department, their place in the hierarchy, the skills they have, and the best ways to connect with them. Having images of each also supports recognition when moving throughout the production floor and break spaces. Placing these org charts in each department and storing them on cloud platforms empowers workers to know who to contact whenever they need help or have questions.

You must also make it easy for workers to communicate their opinions to company leaders. Employee feedback can enhance performance by highlighting areas for practical improvement. When workers see their insights are appreciated and actioned, there can also be greater engagement and trust, which feeds into positive outcomes. Manufacturing managers need to actively reach out to staff of all levels to gain feedback, both in conversations and using surveys. Your company can also make open feedback channels available on the intranet or aforementioned communication apps.

Optimize Operations

It’s difficult to cultivate high-performing manufacturing teams if there are elements of their working processes that present hurdles. Investing in methods to optimize different aspects of your operations is essential. These enable you to develop an environment that empowers your workforce to function at its peak.

Technology plays an important role here in various ways. Some of the tools that enhance optimization include:

Data analytics

Having a thorough understanding of how efficiently each element of your business is running is central to making informed operational adjustments. There are cloud data analytics platforms on the market that track the metrics of all aspects of your manufacturing operations, from staff behavior to the waste your production processes generate. You can further optimize this by placing devices in the Internet of Things (IoT) throughout your facility, so that embedded sensors can collect accurate data to share with your analytics tools.

Automation

The manufacturing industry has long embraced automation. However, it’s important not to simply limit it to dangerous or precision production processes. You can also consider automating certain administrative and management tasks. Many repetitive parts of jobs, like data entry, invoicing, and inventory management can be performed by artificial intelligence (AI) driven software. This optimizes your human staff’s available time, enabling them to concentrate on more complex parts of the business.

Remember, too, that investing in your staff’s development is also a vital optimization practice. Training levels up your workers’ skill sets, allowing them to operate more efficiently and innovatively. Your investment also makes workers feel valued, which may boost their connections with your business, which can drive their productivity.

Encourage Collaboration

While each employee is an individual professional, developing cohesive teams is key to high performance in manufacturing. When you establish protocols and tools that encourage positive collaborations, there’s the chance to generate results from the collective that you wouldn’t get from individuals alone.

For instance, during the ideation phase of projects, using mood boards can offer opportunities for teams to work together on a shared creative document. These materials involve the team contributing images, colors, and even text to evoke the emotions around the project and spark concepts that lead to the final product. When you make digital mood boards stored on a cloud platform, you can empower different members of the team to provide contributions, no matter what department they work in or even if they’re operating remotely. It helps everyone to feel a meaningful part of the business and maintains team cohesion.

Wherever possible, arrange for members of each team to engage in collaborations with diverse populations of professionals. Cross-departmental projects and even fun team-building activities give your staff chances to work with people outside of their usual circle. This exposure to different perspectives and experiences with people of different abilities, seniority, and cultures can be a vital source of development that boosts future collaborations and innovations.

Conclusion

Building high-performing manufacturing teams influences your success. Your efforts should include a range of measures, from protocols that bolster communication to adopting tools that optimize working practices, among others. Don’t forget to seek your workers’ feedback on this matter, too. They are likely to have keen insights into what hurdles to performance are in their jobs and how to overcome them.

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

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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:

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

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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Do you ever notice that, right around this time during every presidential election cycle, the candidates always start talking with much urgency about how it’s the “most important election of our lifetime”?  We’re not so sure about believing that hype. As far as we can remember, total Armageddon has never occurred after Election Day.

As a wise man once said decades ago, “No matter who wins, I’ll still pack my lunch and go to work in the mines.”

And yet, a recent poll by Investopedia found that 61% of respondents are worried about the impact of the 2024 elections on their investments. That translates to worries for CEOs.

Here are some common concerns CEOs and other top executives at companies of all stripes may be thinking about, and looking for, as we run up to the “most important election of our lifetime.”

Typical concerns as election hype swirls

Uncertainty. A recent survey of CEOs by KPMG found that top executives ranked political uncertainty as their top risk to growth over the next three years. A CNN poll had a similar finding, reporting that 51% of CEOs believe political uncertainty is the top risk to growth.

Another disputed election. This is the last thing anybody wants, CEOs included.

Economic policies. Issues like tax breaks and the tax rate for corporations, a candidate’s stand on trade impacting the supply chain, minimum wage hikes, and other economic policies matter to the heads of large companies. Which candidate will be more favorable to business?

Geopolitical issues. With war and unrest all over the globe, CEOs may be concerned on a personal level, but for business, geopolitical unrest might mean supply chain headaches, price hikes and trade disruption. They are looking for candidates who will work to quell that unrest.

Social issues. There are pressures on companies in all sectors now about things like sustainability, climate change, carbon neutrality. But also, more than ever before, companies are supposed to stand for something larger than the product or service they provide. Which candidates fit best with their brand?

What CEOs may want to see from candidates

Stability.  The ancient curse, “May you live in interesting times,” is on the minds of many execs, who prefer boring, old stability and predictability in order to plan, forecast and hit those numbers.

Business-friendly policies: No matter which political party individual execs subscribe to, the bottom line for most is a candidate who is business friendly, promising lower taxes, fewer regulations, and streamlined processes.

Global policies. Many execs have big concerns about supply chain disruption after the past few years, and any politician who can normalize trade and global relations will be a welcome relief.

The good news

Despite the hype surrounding this (and every) election, there is good reason to be optimistic this year. In fact, most CEOs are. According to that CNN poll, “optimism outweighs pessimism among CEOs” for the first time in two years. And just 27% expect economic conditions to worsen, down from 47% in the fourth quarter of 2023.

The bottom line for business during this election year? Focus on efficiency, operational improvements and increasing throughput. That’s the port that will help you weather any political storm.

If history teaches us anything, it’s to heed those long ago words from that miner. Markets tend to rise in presidential election years, no matter who is on the ballot. That same Investopedia article sites the S&P 500 showing positive returns in 20 of the last 24 election years, dating all the way back to 1928.

That’s 83.3% of the time.

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Since the industrial revolution, every technological advancement has been viewed through the lens of its effect on jobs. Will I be obsolete? Can a machine do my job better than I can? Are the bots coming for me? If my skills are rendered obsolete, what will I do?

The plain truth is, sometimes machines can do the job better, faster or more efficiently than a human can. Think of the advent of the sewing machine. Even your grandmother’s old Singer model is a whole lot faster, more precise and efficient than she is working with a needle and thread. The art and craft of sewing isn’t lost or obsolete, but for sheer volume and exact replication, you can’t beat the machines.

What’s happening now with artificial intelligence (AI) in manufacturing is a little bit like that. People on all levels of the manufacturing chain want to know if AI is taking over.

The answer is no. Don’t think of it as a takeover. Think of it as more of a transformation. It’s already happening, and it’s not all bad.

AI’s current impact on manufacturing

Artificial intelligence is seeping into the manufacturing workplace in a couple of important ways.

Automation: Much like the sewing machine and indeed all of the industrial revolution, AI has the power to automate repetitive tasks previously done by humans. Operating machinery, tasks on the assembly line, even inspecting products for defects – all of these things are increasingly being automated.

Efficiency: AI can help us optimize processes and procedures, leading to greater efficiency on the line and as a whole.

New job creation. Yes, you read that right. Whereas AI may reduce the amount of jobs focused on repetitive tasks, it is also creating jobs that we haven’t seen before in the manufacturing realm, including specialized programmers, engineers, and technicians. It means companies will need people with different skill sets, and the savvy employers will dig in and train the people they already have to take on these new roles.

Predictive analytics

At USC Consulting Group, we’ve already been using AI with some of our manufacturing clients, specifically in the area of predictive analytics. We spell it all out in our eBook, “AI and Machine Learning: Predicting the Future Through Data Analytics,” but here is the gist of it in a nutshell.

By now, we all know what AI is — computer systems that perform intelligent tasks, like reasoning, learning, problem solving, decision making, and natural language processing, among others.

Machine learning is a subset of AI. It is, technically, a set of algorithms that can learn from data. Instead of having to be programmed, the computer learns on its own based on data.

Predictive analytics is one output of machine learning. It is the ability to forecast future outcomes based on data. It’s like having a crystal ball that’s informed by vast amounts of complex algorithms and data.

You’re already familiar with predictive analytics but may not know it. You know how Amazon suggests an item for you to buy based on past purchases, or Netflix queues up new shows based on what you’ve already watched? That’s predictive analytics in action.

Much like Netflix’s use of predictive analytics created a seismic shift in consumer expectations, this technology also has the potential to transform operating procedures and processes for many industries.

The benefits of using AI in predictive analytics are many, including:

Bottom line: AI needs us

AI is a powerful tool we’ve used at USCCG to help our clients achieve greater efficiency, productivity, and profits.

But here’s the thing about that. It’s a tool. And it’s only as good as the data we supply. Any variation, and there can be skewed results.

As we all know, life is not a data set. Variation is happening all around us, all the time, even in projects where we need great precision.

That’s why the bots are never going to replace humans. They need us as much as we need them. At USCCG, we have more than 50 years of experience making process improvements, finding hidden opportunities for efficiency, creating leaner systems and helping companies thrive. For the next 50, AI will be one tool we use to help achieve that.

Read more about this innovative technology, including a specific case study about how AI works in practice, in our eBook, “AI and Machine Learning: Predicting the Future Through Data Analytics.”

AI and Machine Learning - Predicting the Future Through Data Analytics eBook

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