Tag Archives: Supply Chain

 

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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In Gartner’s latest report “Top GenAI Use Cases That Work Best for Supply Chain Logistics,” Carly West and Jose Reyes highlight the transformative impact of generative AI (GenAI) on supply chain logistics.

The key findings from their research indicate a widespread exploration of GenAI, with nearly 100% of supply chains investigating its potential to improve operations.

Additionally, organizations are dedicating an average of 6% of their 2024 budgets to GenAI technologies, underscoring the significant investment in these advancements.

Furthermore, 65% of organizations are creating new roles specifically for generative AI expertise, reflecting the need for specialized knowledge to leverage these technologies effectively.

Generative AI and Key Use Cases

Generative AI, supported by foundation models trained on vast datasets, offers numerous applications within logistics. One prominent application is content creation, which includes drafting KPI scorecards, creating standard operating procedures (SOPs), and generating essential documents such as shipping forms and RFP templates. Another key use case is information discovery, where AI aids in KPI analysis, supplier performance diagnostics, and managing shipment inquiries, thereby streamlining processes and enhancing decision-making support.

Generative AI excels in summarization tasks, efficiently summarizing meeting notes, reports, and customs documents, which helps in managing large volumes of information. In transportation and warehousing, AI-driven solutions facilitate predictive maintenance, enable autonomous systems for robotic picking and document processing, and provide real-time customer assistance, contributing to more efficient and reliable operations.

Implementation Considerations and Challenges

For successful AI implementation, it is crucial to assess the feasibility and business value by evaluating talent availability, technology readiness, and data quality. Effective data governance is also essential, as organizations with well-managed data report more impactful business outcomes. However, data-related barriers such as accessibility, quality, and complexity remain significant challenges that must be addressed. Furthermore, by 2027, 50% of large organizations are expected to reevaluate their data governance to handle complex, data-driven use cases effectively.

AICA’s Role in Addressing Opportunities and Challenges

AICA specializes in product and service data cleansing, enrichment, creation, and comparison, leveraging advanced AI and ML algorithms to detect and rectify errors in datasets.

Enhancing Data Quality and Consistency

AICA’s data cleansing and enrichment services ensure high data quality, crucial for leveraging GenAI in logistics. They address data inconsistencies and quality issues through robust data cleansing processes, including deduplication and anomaly detection.

Facilitating Data Integration

Modular design supports the seamless integration of diverse data sources, aligning with logistics’ needs for unified data systems. AICA’s data normalization services enable standardized data formats for efficient processing, overcoming integration difficulties.

Strengthening Data Governance

Data governance framework establishes clear standards and accountability, enhancing AI readiness. Their domain-specific algorithms ensure compliance and data integrity, helping organizations navigate data governance challenges.

Supporting Multilingual and Localization Needs

Multilingual translation capabilities support global logistics operations, making data accessible across languages. AICA is able to overcome language barriers and localization issues with precise translation and cultural adaptation of data.

Enabling Advanced Analytics and AI Use Cases

AICA utilize AI-driven insights for advanced logistics analytics, including predictive maintenance and KPI diagnostics. Their comprehensive data management solutions enhance model accuracy and reduce bias, tackling AI implementation barriers.

Enhancing Operational Efficiency

AICA leverage AI solutions to automate routine tasks and improve logistics efficiency, aligning with GenAI’s potential. Efficient data processing capabilities address time constraints and resource allocation, allowing teams to focus on strategic initiatives.

Why Choose AICA?

AICA’s solutions are up to 90% faster than traditional methods, significantly reducing the time needed for data management tasks. Their AI-driven approach reduces the need for manual labor and minimizes errors, cutting down on operational costs.

AICA’s specialized Large Language Models (LLMs) achieve over 80% accuracy, far exceeding the 30% accuracy of general AI models. Their algorithms are specifically trained on MRO product data, ensuring highly relevant and precise data handling.

Furthermore, AICA’s services are highly customizable, allowing you to select specific solutions that address your unique data challenges.

In conclusion

AICA’s advanced AI and ML solutions are well-positioned to help organizations navigate the complexities of integrating generative AI into supply chain logistics. By addressing data quality, integration, governance, and operational efficiency, AICA ensures that organizations can fully leverage the transformative potential of AI in their logistics operations.

We would like to thank and reference Gartner for the information referenced in this article.

*This article is written by USC Consulting Group’s strategic partner in data cleansing and management, AICA. For more information how AICA can cleanse and enrich your product and services data with AI, visit their website.

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Global supply chains are intricate networks that span multiple countries and continents, involving a multitude of processes, from procurement to distribution. The complexity is further compounded by varying local standards and regulations, making standardization a critical need.

The United Nations Standard Products and Services Code (UNSPSC) provides a universal classification framework that is essential for streamlining these complex processes and facilitating seamless international operations.

Benefits of UNSPSC

UNSPSC serves as a global language for businesses, ensuring that products and services are categorized consistently regardless of where they are produced or consumed. This standardization is vital for global trade, as it simplifies communications between suppliers and buyers, enhances spend analysis and reporting capabilities, and improves procurement efficiency.

By adopting UNSPSC, companies can ensure more accurate demand forecasting and inventory management, which are crucial for maintaining the flow of goods and services across global markets.

AICA’s Automated Approach to UNSPSC

Data management and cleansing specialist AICA offers a SaaS platform that leverages advanced AI and ML technologies to automate the UNSPSC classification process. This automation is driven by AI models trained on extensive datasets, significantly increasing accuracy and reducing errors commonly seen in less sophisticated systems.

The process of manually classifying products into UNSPSC codes is a task that traditionally requires substantial time investment. For instance, cataloguing a single product into the UNSPSC framework manually takes approximately 10 minutes. Classifying 10,000 products would, therefore, require about 69 days. Thus, manually classifying products consumes a significant amount of time, representing a substantial opportunity cost.

However, AICA’s platform automates this process and assigns the classified items with an accuracy score. Items that receive a quality score lower than 93% are flagged for review by our subject matter experts.

Here’s a breakdown of the time savings:

Thus, by using AICA’s system, a task that would normally take over 69 days of continuous work can be reduced significantly to only a few.

This methodology not only speeds up the classification process but also ensures a high level of accuracy and reliability, allowing businesses to deploy resources more effectively and enhance overall productivity in the supply chain.

Universal Relevance

The relevance of UNSPSC and AICA’s technological solutions extends across various critical sectors, including Manufacturing, Mining, and Aerospace and Defense. These industries face unique challenges such as managing complex assemblies, complying with strict regulatory standards, and handling high-value inventories.

UNSPSC codes help standardize component classifications, making it easier to track and manage parts across global supply chains. For these sectors, the ability to accurately classify and analyze product data can lead to more strategic sourcing and better risk management.

Conclusion

For global enterprises aiming to improve their supply chain operations, adopting AICA’s UNSPSC-classifying technologies offers a transformative opportunity. By integrating our solutions, companies can benefit from enhanced data accuracy, improved operational efficiency, and a competitive edge in the global market.

*This article is written by USCCG’s strategic partner, AICA Data. AICA is a data cleansing and management specialist that optimizes your product and services data with AI to provide faster, more accurate, and cost-effective solutions. To find out more about AICA’s services – visit their website here.

Looking to optimize your supply chain

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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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There are a lot of terms used by organizations to describe their mid to long range strategic planning discipline.  Whether your organization calls it Integrated Business Planning (IBP), Sales and Operations Planning (S&OP), Sales, Inventory and Operations Planning (SIOP) or something else, the key message is that abbreviations are not important – results are. Strong strategic planning discipline orchestrates sales plans, operations constraints, and financial objectives while giving guidance to short-term scheduling for execution. At USC, we call this discipline SIOP due to the strategic importance of inventory to smooth supply and demand fluctuations to maintain customer service levels.

Survey Says!

Businesses find S&OP beneficial because it helps balance supply and demand, it improves communication between sales and other departments, leads to better decision-making with everyone on the same page, and it ultimately results in better efficiency. Most organizations refer to their planning process as S&OP, but we think it’s incomplete. Inventory needs to be part of this process to unlock greater levels of operational efficiency and customer service rates.

Planning Process Name Chart

Most companies have less than five years of experience utilizing a SIOP discipline and significantly, fewer than 50% of all companies integrate financial objectives into their monthly planning process. The result is the organization’s annual plans are disconnected from the monthly “replanning” SIOP process. Managers are typically held accountable to their annual plans which are increasingly out of date as the year progresses and better plans are known resulting in sub-optimal decision making based on old assumptions.

Annual Operating Plan Chart

Furthermore, since most companies rely on static models such as Excel and Access to as their primary analytical tools, the planning process can be labor intensive, time consuming and more prone to human error. Integrating decision support systems with operations data, procurement data, inventory data, and customer demand improves simulation and scenario analysis capabilities. Integrating with advanced predictive analytics can further augment planning knowledge.

Primary Data Analytics Chart

Sales, Inventory and Operations Planning

We tell our clients that SIOP is making sure you’re having the right conversations about the right things at the right time.

SOP vs SIOP Chart

Sales, Inventory, and Operations Planning is a holistic process that integrates customer-focused demand plans with production, sourcing and inventory plans and results in improved tactical and long-term business decision making capability.

Keys to Implementing a Successful SIOP Process

But Why the Added Focus on Inventory?

Inventory tells a story about a business’ operational efficiency. Inventory accounts pool the collective decisions and market forces affecting the company, telling stories of sales forecasting accuracy, manufacturing efficiency, planning effectiveness, supply chain disruptions, and quality control. Lean inventories reveal robust planning systems and culture, integrated ERP systems, and good governance. Excess inventories can be a short-term benefit to sustain high customer service levels during times of uncertainty, however they come with high obsolescence and carrying costs.  Inventory is a strategic lever to smooth operations, procurement, and sales fluctuations. The right level of inventory is different for each company, and changes based on current consumer demand, supply chain disruptions, and strategic decisions.

Benefits of SIOP

Interested to learn more about how adding inventory to your planning can make you more efficient? For more information on how SIOP can help your business read our eBook, “Sales, Inventory and Operations Planning: It’s About Time.”

David Newman

David Newman

*This article is written by USC Consulting Group’s Supply Chain Practice Leader, David Newman.

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Effective risk management, strategic planning, and operational excellence are crucial for minimizing NPV losses and maximizing project value.

Recent studies and industry reports suggest that a significant portion of mining projects may face challenges that impact net present value (NPV) negatively. Estimates range from 20% to 60% or more, highlighting the inherent risks and complexities involved in the mining industry. These challenges may include cost overruns, schedule delays, geological uncertainties, regulatory changes, and market fluctuations, among others.

In fact, in other reports, McKinsey says as many as 4 out of 5 mining projects come in late and over budget by an average of 43%. EY found that 64% ran over budget or schedule with the average cost overrun sitting at 39%, after studying 192 global mining and metals projects worth more than $1 billion.

How can mining projects improve project execution when it comes to budgets and timelines? Mining companies must grapple with many pain points – cost overruns, schedule delays, operational risks, supply chain disruptions, and geopolitical uncertainty.

One of the most critical areas involves owner-contractor relationships and creating a “culture by design” right from the beginning. Many owners outsource their projects to EPCMs that have historically operated in mining and are typically very engineering focused on getting the design as accurate as possible to maximize outcomes and benefits. While important, it only represents 35% or 40% of the total cost of a typical project and that’s not where we tend to see issues. The other 60%-65% of the scope is construction.

Organizational culture can significantly impact projects in several ways:

  1. Risk Management: prioritizing safety, compliance, and responsible resource management can lead to better risk identification and mitigation strategies, reducing the likelihood of costly incidents and delays.
  2. Employee Engagement: creating a positive and supportive culture to foster employee engagement, morale, and retention, leading to higher productivity, better teamwork, and lower turnover rates, which are critical for project success.
  3. Decision-Making Processes: promoting transparency, collaboration, and innovation can lead to more efficient decision-making processes, enabling quicker responses to project challenges and opportunities – maintaining “single source of the truth”.
  4. Adaptability: encouraging flexibility, learning, and continuous improvement enables organizations to navigate changing market conditions, regulatory requirements, and technological advancements more effectively.
  5. Stakeholder Relations: valuing relationships with stakeholders, including local communities, governments, and investors, can enhance trust, collaboration, and support for mining projects, reducing the risk of opposition or regulatory challenges.

In summary, positive mining capital project performance, characterized by effective organizational culture, cost management, revenue generation, risk mitigation, and optimal capital expenditure allocation, can enhance NPV by increasing cash flows and reducing project risk.

USC partners with your organization and coaches your people to significantly impact performance outcomes and get your capital projects over the line on-time and within budget.

USC works with Owner Teams to execute capital projects and prepare for operational readiness during the early stages of the capital project development process, typically prior to the start of the construction phase. Operational readiness activities should be integrated into project planning and execution to ensure early adoption of the desired project culture while building buy-in from the various project stakeholders. There are three key elements to successful projects and capturing NPV.

Culture: Corporate culture is the shared values, attitudes, and practices that define the owner’s project, operation and interactions with its employees and various stakeholders. Culture clashes often occur when people from different backgrounds are assembled.

In capital projects, this often occurs when stakeholders are not aligned around a common set of goals and priorities, potentially resulting in the creation of an unsafe environment and/or low productivity and poor-quality execution. The imperative in this situation is to align stakeholders and define a “culture by design” at the top and instill the culture from the bottom up – deliberately starting at the work activity level.

USC works with successful owner teams to begin this journey from the outset of the project, and usually with a high sense of urgency.

Governance: While most recognize the need for establishing a robust governance framework, with a measurable set of metrics, many fail to execute. Typically, governance frameworks include everything from policies, regulations, functions, processes, procedures, and responsibilities, as well as how project progress and execution performance are tracked and reported.

It is not uncommon for EPCs and sub-contractors to use their own processes and systems to track performance – leading to various versions of the truth on the project. Inconsistent and inaccurate information results in inaccurate project execution planning, ineffective execution, and inaccurate status reporting which in turn results in schedule slippage and costly overruns.

USC works with project stakeholders to ensure governance goes beyond the decision-making of a single project, by developing a “Truth Center” where priorities are set, planning is done, performance is integrated, measured and communicated. By creating a single source of the truth and defining detailed work activities, including who is responsible for what and when, stakeholders can avoid the typical project execution pitfalls. By providing consistency, certainty and coordination, owner teams add to the stability of the project.

Readiness: How many projects are delayed due to poorly defined feasibility studies, engineering delays, late recruitment of key personnel and/or procurement delays? These early delays are difficult to overcome during the project and have a severe impact on NPV.

Many organizations are unclear when to start working on operational readiness – long ramp up times and slow operational start-ups are NPV killers, even for well executed capital projects. Key operations personnel should join the project early in the engineering phase to ensure the operability and maintainability of engineering designs. Additionally, they should play a role in defining and designing the culture for the project. Initiating the design of the operational processes and defining operational system requirements no later than the beginning of the construction phase and completed before starting the commissioning phase.

USC brings 55+ years of experience in shaping organizations and designing and implementing management operating systems and processes to assist owner teams in mitigating start-up risks and unlocking hidden-value to accelerate ramp-up success.

USC Helps You Tackle Key Challenges

Do you want to understand how prepared your company is to manage project risks while accelerating work execution and operational ramp-up and what the key focus areas that will contribute to improved net present value?

Want to find out more about how USC can help you uncover the hidden-value lurking in your capital project?

For more information, let’s talk it through with a no obligation meeting with one of our executive team members. Email info@usccg.com to arrange a call.

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The energy and utilities industry is in the midst of change.

Businesses are facing pressure from the government and consumers alike for more renewable energy while also balancing that with grid reliability and traditional energy sources. Meanwhile, electricity demands are expected to skyrocket. Other wild cards are supply chain disruption, labor shortages and more.

But within those challenges, we always see opportunities. Let’s take a closer look into the outlook for energy.

Continued focus on renewables. The demand for clean energy will continue to rise. Governmental regulations are mandating the focus on clean energy and decarbonization, including enacting green-friendly legislation and incentives for companies to transition to cleaner sources like solar and wind. The industry made great strides in solar power and the energy storage it necessitates in 2023, but more is needed and the focus will continue in 2024 and beyond. Consumers are demanding it as well, with climate change among people’s top concerns. All of it has led many companies to push the timeline to cut carbon emissions by 80% from 2050 up to 2030.

Energy storage. The push for solar requires an enormous amount of battery storage capacity to, in very simple terms, store all of that energy for times when the sun’s not shining. It means innovation in battery technology, and 2023 saw much of that, with storage capability doubling in 2023 and set to nearly double again in 2024.

Electricity surge. According to industry sources, the demand for electricity is expected to triple by 2050. It means planning now for this increased load on what is likely aging infrastructure, resulting in costs to shore up that infrastructure to ensure grid reliability. It’s also necessary to consider expanding the grid to meet that demand.

Aging grids + extreme climate.  We all saw the worst-case scenario play out in Texas when their grid failed when the state experienced a rare deep freeze. But weather extremes are becoming the norm, with heat, wildfires and drought on the one hand, floods and record snowfall on the other. The industry is modernizing the grid, and made progress in that area in 2023, but reliability is still a large concern.

Supply chain uncertainty. The recent geopolitical unrest in Ukraine and the Middle East has underscored the need to reshore this nation’s oil supply.

Labor shortages. Like many industries today, energy is battling a labor shortage and facing the double whammy of their most experienced workers retiring and taking institutional knowledge with them, and having too few younger people in the pipeline to pick up where they left off.

It’s a full plate for the energy sector in the coming years, that’s clear. But within these challenges, we see opportunities to bolster processes, making operations more efficient and guard against supply chain snafus. Reducing operating costs, improving productivity and increasing efficiency will help the industry navigate these challenging times.

This is where USC can help

Management Operating Systems. A solid Management Operating System is a must for efficiency, time savings, employee productivity and so much more. For a real-world example on how USC helped an energy producer save time and money by implementing an MOS, read “Energy Producer Generates Savings with Smarter Labor Practices.”

Reskilling employees. All of this innovation and growth in renewables, not to mention AI entering the mix, requires more workers with new skills. This can be very good news for your current employees, who can move up the food chain with new training, and the ability to attract highly qualified workers.

Resource planning. If you know anything about our company, you know we are great proponents of SIOP – Supply, Inventory and Operations Planning. It gives companies a roadmap to the future, so they’re not reacting to events, they’re anticipating them. With the exponential growth of the energy and utilities sector in the coming years, solid planning for the resources needed for that growth, like increased storage capacity and grid strength, is a must.

Bottom line, delivering reliable, affordable and sustainable energy is the goal for the energy and utility industry. It takes efficient operations, a handle on resources, and a clear eye toward the future. Contact us today to find out more about how USC Consulting Group can help.

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The rise in food prices is all over the news these days. The USDA and the Consumer Price Index tell us that, in 2023, grocery store purchases were up 5% from the previous year, while eating out cost an average of 7.1% more. This year, those costs are set to bump up another 1.3%. But, if you work in food manufacturing, (or buy groceries for your household) you don’t need the government to tell you those prices are rising.

It’s the trickle-down effect. Challenges facing food manufacturers mean higher production costs, which are ultimately influencing everyone’s grocery bills.

Here’s why, and what food manufacturers can do to save money on the front end to stop that trickle down.

Challenges affecting food prices

Some of the issues food manufacturers are navigating through that can ultimately show up in prices at the grocery store include:

Supply chain disruptions. Whether it’s geopolitical tensions, droughts, wildfires, strikes, or other events, it can disrupt the supply of raw materials food manufacturers use to get the job done. This can and does create delays, backlogs and other costly challenges.

Price inflation. Before price increases hit the grocery store shelves, the rising cost of things like grain, meat and dairy affects manufacturers who use those raw materials to make their goods.

Shipping costs. Rising fuel prices affect how much it costs to get those raw materials to food manufacturers, whether it’s coming from across town or across the world.

Labor shortages. The continuing battle to hire and train good people, and retain the ones you have, contributes to labor costs at the plant, which contributes to rising costs for the end user.

Evolving demand. Consumers are ever changing in their preferences and expectations. People are increasingly demanding sustainability, ethical sourcing, friendly practices like free-ranging and more. And dietary trends shift too, with plant-based alternatives growing in popularity on the one hand and minimally-processed meals on the other. This makes it difficult for manufacturers to forecast to accommodate the demand.

Regulations. Compliance with FDA regulations can be complex at best and lead to inefficiency and higher costs for manufacturers at worst. It’s especially prevalent in yield, when manufacturers are trying to hit the “wiggle room” the government allows between what the package label says and how much product is actually in the package. Not wanting to be out of compliance, manufacturers often overfill packaging to reach that sweet spot, but it means they’re actually giving away product… and profits.

All of these challenges can have a direct impact on manufacturing costs and will inevitably trickle down to their customers. It boils down to:

Higher production costs. This is by no means unique to the food manufacturing industry. Higher production costs on things like raw materials, labor, transportation and more mean higher costs to the customer – that’s a fact of life for most every business.

Supply and demand uncertainty. Supply chain disruption leads to shortages, which cause prices to rise.

How food manufacturers can tackle these challenges

In the short term, agility is key. But strategic planning, process improvements, and a focus on efficiency can shore up food manufacturers for the long run.

Sales, Inventory & Operations Planning which we call SIOP, takes the sales and operations planning (S&OP) process that most manufacturers use and adds inventory to the mix. At USCCG, we find inventory is often left out of the planning process, but it can be as important of a variable and a strategic tool. Following this methodology helps manufacturers eliminate waste, increase efficiencies and achieve an optimal level between not enough and too much.

It’s also an unparalleled tool for inventory management, which is a tricky business today given all of the challenges this industry is facing.

If you would like to learn more about SIOP, download our (free) eBook, “Sales, Inventory & Operations Planning: It’s About Time.”

Sales Inventory and Operations Planning eBook

Process improvements. One way streamlining and refocusing your processes can help manufacturers now is in the area of yield. Getting a handle on yield — improving processes so you’re not giving away product — can save millions of dollars. To learn more about how one food distributor saved $2.3 million per year by improving their yield, read “Food Distributor Masters Management by the Numbers to Improve Yield.”  And speaking of management by the numbers…

Implement a Solid Management Operations System. Many manufacturers, whether food or other industries, tend to manage on the basis of what has worked in the past, a gut feeling by seasoned managers, and other methods. At USCCG, we like hard numbers, streamlined processes and everyone doing the same job the same way. And about that…

Focus on training. It’s crucial to have all shifts, all facilities and all employees working in tandem, doing the same job the same way. It’s how you create the proverbial well-oiled machine.

None of these tactics will stop challenges from happening, but they can and do make your operations more efficient, and in turn, save you money. Not only will it improve your bottom line, but you might just be able to trickle the savings down to your customers, too.

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The automotive industry is driving automation by having the largest number of robots working in factories around the world — operational stock hit a new record of about one million units, according to the International Federation of Robotics (IFR). With the prevalence of automation rising in the automotive industry, the benefits associated with its use in manufacturing cannot be understated. With advantages that work to bring productivity and efficiency all around, advancements in technology such as the integration of artificial intelligence underline the many innovative applications to come.

Exploring the current advantages of automation

“The automotive industry effectively invented automated manufacturing,” notes Marina Bill, the President of the IFR. “Today, robots are playing a vital role in enabling this industry’s transition from combustion engines to electric power. Robotic automation helps car manufacturers manage the wholesale changes to long-established manufacturing methods and technologies.” The IFR goes on to highlight the recent density of robots in the automotive industry — in the Republic of Korea, 2,867 industrial robots per 10,000 employees were in operation in 2021, while Germany had 1,500 units followed by the United States with 1,457 units.

Automation plays a variety of roles in automotive manufacturing, including taking on tasks such as screw driving, windshield installation, and wheel mounting. Automate highlights one example of a valuable role that automation plays in the manufacturing process, via an automated vehicle floor plug insertion system developed by FANUC for General Motors. As a result, the system effectively helps relieve workers from “the ergonomic strain of the manual process and improves production time.” Apart from assembly, Robotics and Automation News notes additional uses for automation in manufacturing include car painting, welding, polishing and material removal, and quality inspection. Regarding the benefits, automation in automotive manufacturing is known to have a wide variety of advantages that heighten productivity in immense ways — including lowering costs, improving accuracy and safety, and amping up efficiency.

Increasing automation highlights a productive future

According to CBT News, automakers are “likely to introduce more robots and other forms of automation over time.” Currently, CBT notes that many robots on production lines are called ‘cobots,’ as they work alongside workers in order to complete tasks that are physically demanding or more challenging to do — Ford, for example, has “at least 100 of these cobots across two dozen of their plants around the world.” Automakers are already planning for increased automation in the future in order to achieve various goals. Tesla is a pioneer regarding factory automation and robots; Elon Musk, for example, has said that introducing more automated equipment at Tesla as part of a goal to cut the costs of making future models by 50%, according to CBT News.

To further underline the presence of automation in auto manufacturing, a 2021 article from The Korea Economic Daily Global Edition highlights the use of robots and artificial intelligence (AI) by Kia Corp., South Korea’s second-largest automaker. According to the article, the company had released a video “showing a highly automated production line of the all-electric mid-size crossover utility vehicle (CUV) at a smart factory powered by artificial intelligence and robot technology.” Crossovers have risen in popularity in the US, with the vehicle featuring an SUV-style body based on a car (rather than a truck platform), therefore using unit-body construction. Today’s crossovers offer a variety of features, with top-rated crossovers offering those such as a spacious interior and a smooth engine.

Innovation foreshadows advancements to come

In addition to simply expanding automation efforts throughout auto manufacturing, ‘smart manufacturing’ employs technology in addition to automation. Also called Industry 4.0, RT Insights notes that data-driven decision-making and predictive maintenance are just the beginning of the advantages associated with smart manufacturing, with benefits extending to areas such as energy efficiency and supply chain optimization. “The resulting factors of having a smart manufacturing set-up are efficiency, production optimization, trackability, quick turnaround during downtime, safer working conditions, and responsible manufacturing,” notes Mobility Outlook.

AI and machine learning (ML) are both components that are driving the future of smart manufacturing, with Mobility Outlook explaining that AI systems analyze data sets and historical records of Internet of Things (IoT) devices. As a result, AI can identify patterns and trends which would otherwise go unnoticed by workers. ML algorithms, on the other hand, can “learn from data, make predictions, and make suggestions to improve manufacturing processes.” Predictive maintenance can also make a major difference in the future of automotive manufacturing, with the analysis of data allowing for minimized repair costs and proactive maintenance. Furthermore, Mobility Outlook highlights the value of quality control systems powered by AI — with this technology, defects can be detected in real-time, allowing for waste reduction and improved product quality across the board.

Automation brings a variety of benefits to automotive manufacturing. While automakers are already making use of the technology, technological advancements like AI are driving the future of ‘smart manufacturing,’ effectively foreshadowing a range of advantages to come.

*This article is written by Lottie Westfield. Lottie spent more than a decade working in quality management in the automotive sector before taking a step back to start a family. She has since reconnected with her first love of writing and enjoys contributing to a range of publications, both print and online.

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All roads are leading most industries to adopt increasingly more sustainable practices. The pressure for manufacturers to go green is growing in the face of climate change, supply chain challenges and especially consumer preferences.

A report from the Roundup, “Environmentally Conscious Consumer Statistics,” paints a pretty clear picture.

Consumers are opting for products that are sustainable, but that’s not the only headline for manufacturers. Because, it’s not just products. It’s the companies, too. Some 29% of consumers said they are “often or always” influenced by a company’s commitment to adopting more sustainable practices.

Sustainability challenges: It’s not easy being green

Many in the manufacturing industry are undoubtedly feeling some kinship to Kermit the Frog these days. Despite the pressure to adopt more sustainable practices, as the Muppet so famously lamented: “It’s not easy being green.”

It’s all well and good to work toward shoring up the environment (and we need to) but it’s a challenging lift for manufacturers. Some obstacles include:

High upfront costs. New technologies, processes and materials come at a price. It’s especially tough for manufacturers in industries like food and beverage, which has razor-thin margins.

Long wait for return-on-investment. ROI from major expenses can take years to come to fruition.

Supply chain challenges. Even if your company has shifted to more sustainable practices, what about your suppliers?

Skilled labor shortage. It’s difficult enough to find warm bodies to work on the line. But new technologies come with new skills requirements.

Opportunities are emerging

At USC Consulting Group, we help companies look for the opportunities within challenging situations. We always find the silver linings. Here are a few:

Cost reduction. Yes, there are upfront costs. But sustainable practices can lead to reduced energy and water consumption, the possibility of lower regulatory compliance costs, and lower materials costs by using recycled materials.

New partners, suppliers and revenue streams. The sustainable marketplace is an ecosystem all its own. It’s possible to find new partners, customers and even suppliers.

Attract and retain top talent. Yes, there is a labor shortage. But the companies with strong sustainable practices are attracting the best people out there. Companies that care for the environment also find their employees are more engaged and involved.

Governmental tax breaks. The government is committed to rewarding companies for adopting more sustainable practices with tax breaks and other financial incentives.

Strategies for manufacturers

One of the best ways to adopt more sustainable practices is to first look in the mirror. It’s not necessarily about investing in new technologies and turning the world upside down. First, look at your processes and operating systems. You’ll likely find efficiencies you didn’t even know were there. Places to start:

Minimizing waste. Lean Six Sigma methodologies can find hidden wastes and lead to more efficient operations. Not only will it save you considerable money, but minimizing waste is a key principle in sustainability. That’s a win-win.

Operations improvements. How efficient are your operations? A solid management operations system, which is a structured approach to your operations, creates much greater efficiency. The best MOS focus on processes, systems, roles and structures to map out how the job gets done, and by whom. Learn more about it in our short video, Stop the Firefighting Mentality to Improve Your Bottom Line.

Sales, inventory and operations planning. You’ve heard of S&OP. We added the “I.” We find inventory to be a key piece of the operations puzzle. When doing sales forecasting and planning for demand and supply, adding inventory elevates the process a notch. It makes inventory a strategic tool. Learn more about it in our free eBook, “Sales, Inventory and Operations Planning: It’s About Time.”

Training. About that skilled labor shortage. A way to combat that is by training and upskilling your people. And solid training for not just employees on the line but managers, too, will get everyone on the same page, creating greater efficiency organization-wide.

By moving toward more sustainable practices, manufacturers can ultimately reduce costs, find greater efficiencies, attract both consumers and employees and help the planet in the process. But it’s not easy. At USC Consulting Group, we’re the experts on helping companies become more efficient, effective and profitable. With more than 55 years behind us, we’ve seen trends come and go. The key is turning challenges into opportunities. Get in touch to find out more.

Contact USC Consulting Group

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