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Posts from the ‘IoT’ Category

Automating the Commercial Kitchen: Making the Business Case for Long-Term Value

Paul_Hepperla Paul Hepperla | Vice President, Solutions Strategy – Cold Chain

Emerson Commercial & Residential Solutions

In 2019, Emerson hosted an in-depth E360 panel discussion on automating the commercial kitchen. The panelists, a cross-section of industry experts, proposed valuable insights on the potential that automation and connectivity offer commercial restaurants. In the second article of this three-part series, I summarize their thoughts on building the business case for internet of things technologies and tackling common challenges. You can read the full article here.

Automating the Commercial Kitchen: Making the Business Case for Long-Term Value

Internet of things (IoT) technologies are steadily making inroads in the commercial kitchen landscape. And that’s posing a set of challenging questions for quick-service restaurants (QSR) eager to benefit from the cost savings and improved quality control that a connected kitchen can deliver.

For this reason alone, building a sound business case for IoT technologies is critical. The process is an excellent opportunity to tackle difficult questions at the front end to avoid costly pitfalls during — and after — implementation.

Ensuring data is actionable

As we discussed in our first article in this series, IoT technologies offer tremendous potential to reduce labor costs and improve food safety. But before QSRs invest in new technologies, they must first ask how serious their operators are about actually using data.

This is one of the most important questions to ask, because applicability must always be the defining feature of every IoT investment. As more equipment comes online and the number of data points expands, store managers will have access to a staggering amount of data that they don’t have the time or skillset to interpret. To be useful, the data must be paired with simple alerts or other actionable information that operators can quickly and easily act upon.

Determining data ownership

As they build their business cases, QSRs must also determine who will own the data. Most often, this will be the foodservice corporation, the franchisee or the original equipment manufacturer (OEM). Issues can arise when the owner of the data doesn’t see much advantage in sharing with others.

However, making the data accessible to all three parties may prove beneficial to each. Sharing information between the corporation and the franchisee could identify new avenues for cost savings. OEMs could use the information to make ongoing improvements to their equipment. And opening up access to source and derived data could lead to a reduction in service calls and lower service warranty costs.

Simplifying the user experience

The user interface is another consideration that QSRs need to factor in early on. Most QSRs source their equipment from multiple manufacturers, which makes uniformity a challenge. Any efficiencies captured through connected equipment could potentially be undone if operators are forced to log into and navigate multiple interfaces in order to access data.

Some QSRs, such as Wendy’s, are creating custom interfaces which share a common look and feel. This allows employees to share the same user experience, no matter which equipment interface they are accessing. Conversely, QSRs can opt to invest in a common interface that consolidates data for all equipment types and brands in one place, under one login.

Room for improvement

One area that still needs refinement is servicing. IoT technologies should be providing technicians with a trove of information. Yet whether it’s because the data is too siloed or because IoT is relatively underdeveloped in commercial kitchens, the benefits to servicing are falling short. Still, as the technology matures, productivity gains for servicing and maintenance will come to light as well.

Emerson’s product development expertise is moving the industry closer to a true plug-and-play approach by simplifying connectivity and developing application program interface (API) strategies. Our goal is to provide intuitive, streamlined access and information that operators can act upon so they can achieve their business objectives, protect their brands, and drive greater cost savings.

In the next and final article in this series, we’ll delve into the future of automation in the commercial kitchen and dig into the emerging challenges of data security and connectivity protocols.

Automating the Commercial Kitchen: Enhancing Productivity and Food Safety

Paul_Hepperla Paul Hepperla | Vice President, Solutions Strategy – Cold Chain

Emerson Commercial & Residential Solutions

In 2019, Emerson hosted an in-depth E360 panel discussion on automating the commercial kitchen. The panelists, a cross-section of industry experts, proposed valuable insights on the potential that automation and connectivity offer commercial restaurants. In the first article of this three-part series, I summarize their thoughts on how automation is shaping labor efficiency and food safety. You can read the full article here. 

Automating the Commercial Kitchen: Enhancing Productivity and Food Safety

Automating the commercial kitchen is not a new concept. But as the adoption of internet of things (IoT) technologies accelerates, commercial restaurants are looking at a future where automation will more effectively deliver on their top priorities: reduced labor costs and improved food safety. The key for quick-service restaurants (QSR) will be investing in solutions that actually address what matters most to their operations.

 

Driving greater labor efficiencies

Thus far, the foodservice industry has had great success with using automation to enhance human labor. In the near future, the goal of automation will be to begin to replace human labor. Connected equipment and related technologies hold the potential to not just eliminate steps, but to automate manual processes. As a result, QSRs will be able to shift from saving minutes here and there to reducing their actual headcount.

That’s not to say that the entire labor force will be replaced by touch screens and robots anytime soon. Rather, automating repetitive processes and universally undesirable tasks will enable employees to focus on higher-value activities. Enterprising QSRs could even use automation to improve employee satisfaction and retention by integrating incentives into everyday tasks.

Improving food safety

Automation will increasingly play an omnipresent role in food safety. This is welcome news for QSRs complying with the Food and Drug Administration’s (FDA’s) Hazard Analysis and Critical Control Points (HACCP). For example, by automating food temperature documentation, QSRs will have greater confidence that the work is done correctly and consistently.

To fully benefit from automation, QSRs will need to integrate both hot side and cold storage areas. Doing so will provide operators with a real-time, end-to-end view of food safety, from storage to preparation to delivery to customers. Over time, the aggregated data can be used to further improve efficiencies and identify energy management cost savings.

Staying focused on long-term value

As the evolution of the commercial kitchen comes into view, it’s easy to get swept up in the possibilities and promise of emerging IoT technologies. But QSR operators need to look beyond the novelty and focus on real-world applicability.

A new high-tech solution may promise to improve operations through automation. But will it promote or detract from the customer experience? Will it deliver long-term, sustainable labor savings or just reallocate existing staff to different assignments? Above all, will it actually mitigate the risk of fines, bad press and reputational harm resulting from a food safety issue?

Likewise, operators need to determine what they will do with this abundance of data. The information is useless if it’s not attached to an actionable plan. And that means humans cannot be completely removed from the equation — yet.

At Emerson, we’re asking these questions on the front end to derive valuable business outcomes from all automation and connectivity initiatives. Our goal is to help operators capture the real-time data they need to ensure that food is safely stored, prepared and cooked. Our Cooper-Atkins solutions support critical food safety initiatives by automating temperature monitoring throughout the cooking and preparation processes. And as more of these processes are automated, QSRs benefit from enhanced productivity on the human side.

In our next article, we’ll delve into the business case of IoT technologies and the challenges involved with data ownership, user interfaces and servicing.

Tapping the Potential of IoT in the Food Cold Chain

John Rhodes_Blog John Rhodes |Group President, Cold Chain
Emerson Commercial & Residential Solutions

In a recent Progressive Grocer article, I described how business leaders are leveraging the internet of things (IoT) and connected technologies to achieve much tighter integration along every step of food’s journey to consumers, addressing some of the most challenging problems currently plaguing the food cold chain: food safety and food waste.

Consider what’s involved in bringing food to our tables. The process typically starts at a farm; proceeds to a processing plant; enters the transportation and logistics stream; arrives at a storage or distribution facility; and is delivered to retailers. Think about the many opportunities for errors along these steps — such as time in transport, temperatures and humidity. It’s easy to see how quickly and easily food quality can be impacted. We’re often reminded that these problems can lead to food safety issues for consumers and businesses. But too often, the related problem of food waste is overlooked.

A fully IoT-connected and integrated cold chain has the potential to change that.

Mitigating the cost of food waste

According to a recent study by the Boston Consulting Group (BCG), 1.6 billion tons of food — the equivalent of $1.2 trillion — are wasted each year, essentially reducing total global food production by one-third. It’s a staggering amount that if left unchecked, could reach costs of $1.5 trillion by 2030.1

The study looked at the potential for loss at every stage of the food supply chain. IoT can help combat the food waste crisis at every step.

In the article, I cited one area that’s particularly problematic: fresh produce, which represents 46 percent of the total output lost each year. To illustrate how IoT sensors provide real-time tracking, monitoring and analytics of food conditions, I tracked the journey of a single strawberry from the moment of its harvest to a retailer’s shelf, showing how producers can use IoT to greatly extend perishable shelf life and improve the quality of fresh produce.

IoT can connect historically disconnected supply chain providers to make a real difference in maintaining food quality and freshness and combat food waste. Per the BCG study, “An unbroken, temperature-controlled ‘cold chain’ can help to reduce spoilage significantly.”2 By boosting the food supply chain’s efficiencies and its underlying infrastructures, the potential exists for $270 billion in food preservation gains annually. Simply put, reducing food shrinkage translates into significant bottom line increases for producers and retailers alike.

Building a more sustainable cold chain

Emerson is actively collaborating with leading cold chain providers who are embracing IoT for its potential to match fresh food with growing consumer demand. Our connected solutions draw on decades of global experience in refrigeration, controls, communication, analytics and insights. We work to track, trace and monitor critical data points, making the connections needed to ensure the appropriate handling of perishable foods from farm to table, creating sustainable solutions that are good for businesses, consumers and the global food supply chain.

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References

  1. https://www.bcg.com/en-us/publications/2018/tackling-1.6-billion-ton-food-loss-and-waste-crisis.aspx
  2. Infographic from BCG report; available upon request

 

The Path From IIoT to Predictive Maintenance for Commercial Refrigeration

JohnWallace_Blog_Image John Wallace | Director of Innovation, Retail Solutions

Emerson Commercial & Residential Solutions

Emerson is writing a series of articles about the implications of new and transformative technologies for the commercial refrigeration industry. In our first article, I described the challenges and methodologies related to transforming a newfound wealth of data into true predictive maintenance capabilities. You can read the full article here.

 

One trend driving the commercial refrigeration industry’s rapid adoption of Industrial Internet of Things (IIoT) technologies is the promise of predictive maintenance. Collecting massive amounts of real-time data comes with the potential to develop data-driven algorithms that can accurately predict looming problems and failures in refrigeration systems and equipment.

In the commercial refrigeration space, operators’ goals related to predictive maintenance are to reduce energy savings, lower maintenance and service costs, improve food quality and safety (and indirectly, customer experiences), increase comfort, and reduce downtime. So as IIoT technologies become more affordable, widely deployed and interconnected, a question naturally arises: “When will we see the results of these predictive maintenance capabilities?”

It’s a fair question. After all, some industries, such as industrial automation, are seeing rapid advances in their predictive maintenance capabilities. But many of these industries also have an inherent advantage: they’re often monitoring identical devices with well-defined historical performance models, making early problem detection relatively easy.

However, commercial refrigeration is a different ballgame. Commercial refrigeration applications are diverse and complex, making the development of their predictive maintenance capabilities far more challenging. Commercial refrigeration systems consist of many diverse and interdependent components, which often originate from multiple vendors. They encompass a wide range from traditional centralized direct expansion systems to an ever-expanding array of emerging architectures designed to achieve very specific operational (and more often, sustainability) objectives. Industry trends further complicate the issue, such as the adoption of new refrigerants and the migration from centralized to distributed, self-contained and integrated systems.

These complex systems differ in the amount, type and quality of the data they can provide — making data modeling and writing algorithms for different equipment even more difficult. Add more variables into the mix, such as weather, humidity and climate — not to mention widely varying operator goals, processes and workflows — and you can start to comprehend the depth of the challenge.

Developing predictive maintenance capabilities for commercial refrigeration is not a matter of simply pouring more data into the cloud via the IIoT. That data is as diverse as the equipment and systems which produce it. Determining the predictive potential of all that data requires fundamentally changing how we understand and approach the needs of the commercial refrigeration industry.

At Emerson, we’re tackling this challenge head on, taking a methodical, deliberate approach to predictive maintenance. Our goal is not to simply throw more IIoT technologies at the challenge. We’re working to help deliver on the promise of predictive maintenance by applying our deep knowledge of the commercial refrigeration space to help operators uncover the predictive value of data gathered from many different applications. By doing so, we’re simplifying the complexities and uncovering insights into the industry’s most common refrigeration scenarios.

We’re deriving predictive maintenance solutions from IIoT data via a three-pronged methodology: 1) understand the complexity of the domain and its individual systems; 2) define what data is relevant to which situations; and 3) determine how application sensors should be used to generate the necessary data. Then we can take the crucial step of developing tools to extrapolate true predictive maintenance answers from real-time and historical data.

In upcoming articles, Emerson will expand on these learnings and provide examples of how new technology is already being used for successful predictive maintenance programs in commercial refrigeration.

HVACR Contractors Discuss the Potential of New Technologies

BobLabbett_Blog Bob Labbett | V.P. – Aftermarket Distribution, Cold Chain

Emerson Commercial & Residential Solutions

At a recent E360 Breakfast, Emerson hosted a panel discussion among HVACR contractors to glean their insights and opinions on the biggest challenges and emerging trends impacting their businesses. It was a valuable opportunity to get a working perspective on issues more often discussed by industry analysts. A recent article covers a wide range of topics, including talks of new, high-end technologies at a practical level. You can read the whole article here.

The new technologies, IoT and analytics in the field

In recent years, the HVACR industry has experienced an influx of new electronic controls, connected technologies and data analytics enabled by the internet of things (IoT). As these technologies have come online, each of the three contractors on the E360 panel, with companies and customer bases of different sizes, has had different degrees of experience and interaction with these technologies in the field — from working with component-level information to gathering insights on facility management.

Making better use of data and analytics in the enterprise

Jim Wharton, area vice president of Link Network, ABM in Atlanta, works with an enterprise-level customer base. He explained that while data collection capabilities have been available for decades in different forms of energy management systems (EMS), many operators don’t use them to their full potential. Many may glance at their facility dashboards, see multiple areas running in the red (out-of-tolerance conditions), and may simply ignore the potential problems. “Most operators know the way their building behaves, and if they see an alarm in a certain area, they also know whether it will go away or if they need to act on it,” he said. He added that advanced data analytics now offer more insights and the potential to add tangible operational value by helping to drive informed decision making, detecting performance trends and providing equipment diagnostics and troubleshooting.

Embracing new technologies at home

Residential consumers are also embracing whole-home automation, said Martin Hoover, owner of Empire Heating & Air Conditioning in Atlanta. He said that his customers love getting notified of routine maintenance items, such as when to change filters or fix a water clog or leak. But most importantly, homeowners are using these systems to diagnose problems. “They like the fact that their home automation systems can let us know if something’s broken, so we can fix it before it affects their comfort levels,” said Hoover. But from a contractor’s perspective, he stressed that a home system also helps properly trained and educated technicians perform their own diagnostics. “This doesn’t allow us to take someone straight out of high school and put them in the field, but it certainly makes it easier,” he added.

On-board compressor controls are also helping service contractors gain deeper insights into overall refrigeration system performance. Michael Duffee, owner of Restaurant Equipment Services, Inc. of Tucker, Ga., cautions that these advanced controls require trained technicians. “If they’re not familiar with the technology, then you have to train them to avoid misdiagnosis, as there’s still the potential for things to go wrong,” he said.

Developing new technology for the real world of refrigeration

Designing new sensor technologies to be resistant to the impacts of weather, water and humid conditions are also very important considerations for Duffee. For example, he said, “In walk-in cooler environments, where it’s wet and sometimes caustic with the food and so forth, we’ve seen issues with consistency and where sensors and microprocessors can cause problems.”

With our broad knowledge of the full range of commercial refrigeration applications, Emerson keeps these environmental considerations upfront as we develop and introduce next-generation sensors and controls. For applications as simple as automated residential controls or as the source of real-time data for enterprise and IoT analytics, Emerson continuously consults with end users on the real-world issues raised by new technology.

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