Tag Archives: digital transformation

Jason Chester, InfinityQS
FST Soapbox

Resilience for Tomorrow Begins with Digital Transformation Today

By Jason Chester
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Jason Chester, InfinityQS

COVID-19 has been a sharp wake-up call for many food manufacturers in the need for resilient production environments that can readily respond to large and sudden changes, including fluctuations in demand and disruptive external events. This means being able to optimize operations for the following:

  • Efficiency: Where you can achieve constant output even when given fewer inputs—such as in workforce availability or resources. This was especially important when the pandemic caused widespread supply shortages, as well as staffing shortages due to social distancing measures.
  • Productivity: When you can ensure that, given the amount of available input (i.e., raw ingredients, manpower, equipment availability), you can maintain a consistent output to meet demand in the marketplace.
  • Flexibility: Where you can rapidly and intelligently adapt your processes in the face of change, in ways that are in the best interest of your business, the supply chain, and the consumers who purchase and trust in your products.

That trust is paramount, as manufacturers must continue to uphold quality and safety standards—especially during a time when public health is of the upmost importance. But between operational challenges and managing product quality, that’s a lot for manufacturers to wade through during a crisis.

To navigate the current COVID reality and improve response to future events, more organizations are looking to harness the power of data to enable agile decision-making and, in turn, build more resilient production environments.

Harnessing the Power of Data

The key to harnessing data for agile decisions is to aggregate end-to-end process information and make it available in real time. When you can achieve that, it’s possible to run analytics and derive timely insights into every facet of production. Those insights can be used to increase efficiency, productivity and flexibility—as well as ensure product quality and safety—even amidst upheaval.

When looking at solutions to aggregate data from a single site—or better yet, multiple sites—all roads lead to the cloud. Namely, cloud-based quality intelligence solutions can decouple the data from physical locations—such as paper checklists, forms, or supervisory control and data acquisition (SCADA) and human-machine interfaces (HMI) systems—and centralize what’s collected digitally in a unified repository. The data can then be accessed, analyzed, and consumed by those who need actionable insights from anywhere, at any time, and on any device, making cloud an ideal solution for connecting on-site operators and remote employees.

Digital transformation
When process and quality data are centralized and standardized on the cloud, they can be leveraged for real-time monitoring and timely response to issues—from anywhere and at any time. (Image courtesy of InfinityQS)

An Opportunity for Broader Transformation

In migrating to the cloud, manufacturers open the opportunity to break away from the legacy, manual processes of yesterday and transition to more nimble, digitally enabled environments of tomorrow. For example, manual processes are often highly dependent on individual operator knowledge, experience and judgement. As the pandemic has shown, such institutional knowledge can be lost when employees become ill, or are unavailable due to self-isolation or travel restrictions, presenting a risk to operational efficiency and productivity. But if that valuable institutional knowledge were captured and codified in a quality intelligence solution as predefined workflows and prescriptive instructions, then a manufacturer could more easily move their resources and personnel around as necessary and find comfort knowing that processes will be executed according to best practices.

For many organizations, this would be a remarkable transformation in the ways of working, where data and digital technologies can augment human capacity and flexibility. Take for instance, in traditional production environments, a lot of human effort is spent on monitoring lines to catch process deviations or events like machine anomalies or quality issues. Using real-time data, next-generation solutions can take on that burden and continuously monitor what’s happening on the plant floor—only alerting relevant teams when an issue arises and they need to intervene. Manufacturers can thereby redeploy people to other tasks, while minimizing the amount of resources necessary to manage product quality and safety during daily production and in the event of disruption.

Ensuring Quality Upstream and Downstream

One company that has succeeded in digital transformation is King & Prince, a manufacturer of breaded, battered and seasoned seafood. When the company digitized its manufacturing processes, it centralized the quality data from all points of origin in a single database. The resulting real-time visibility enables King & Prince to monitor quality on more than 100 processes across three U.S. plants, as well as throughout a widespread network of global suppliers.

With this type of real-time visibility, a company can work with suppliers to correct any quality issues before raw materials are shipped to the United States, which directly translates to a better final product. This insight also helps plant-based procurement managers determine which suppliers to use. Within its own plants, operators receive alerts during production if there are any variations in the data that may indicate inconsistencies. They can thereby stop the process, make necessary adjustments, and use the data again to confirm when everything is back on track.

During finished product inspections, the company can also review the captured data to determine if they need to finetune any processes upstream and respond sooner to prevent issues from making it downstream to the consumer level. Overall, the company is able to better uphold its quality and safety standards, with the number of customer complaints regarding its seafood products dropping to less than one per million pounds sold year over year—and that’s all thanks to the harnessing of data in a digitally enabled production environment.

There’s No Time Like the Present

In truth, technologies like the cloud and quality intelligence solutions, and even the concept of digital transformation, aren’t new. They’ve been on many company agendas for some time, but just haven’t been a high priority. But when the pandemic hit, organizations were suddenly faced with the vulnerabilities of their long-held operational processes and legacy technologies. Now, with the urgency surrounding the need for resilient production environments, these same companies are thinking about how to tactically achieve digital transformation in the span of a few weeks or months rather than years.

Yet while digital transformation may sound like a tremendous initiative with high risks and expenses, it’s more tangible than some may think. For example, cloud-based Software-as-a-Service (SaaS) solutions offer flexible subscription-based models that keep costs low on top of rapid scalability. Digital transformation doesn’t have to be an all-or-nothing endeavor either. In fact, it can be better to progress incrementally, starting first with the manufacturing areas that are most in need or have the most issues. This minimizes unnecessary risk, makes digital transformation more achievable and realistic over short timeframes, and avoids overwhelming already maxed out operational and IT teams.

All things must pass. The pandemic will eventually be over. But in its wake will be a permanent legacy on not just society, but also on the manufacturing sector. In my opinion, digital transformation is a fundamental basis for building resilience into the modern food production environment. Now, more than ever, is the time to address that opportunity head on.

Maria Fontanazza, Food Safety Tech
From the Editor’s Desk

Top 10 from the 2020 Food Safety Consortium Virtual Conference Series

By Maria Fontanazza
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Maria Fontanazza, Food Safety Tech

2020 has taken a lot away from us, but it has also taught us the importance of being able to quickly adapt (can you say…“pivot”?) to rapidly changing, dire circumstances. For Food Safety Tech, that meant shifting our in-person annual Food Safety Consortium to a virtual event. I really look forward to the Consortium each year, because we are a virtual company, and this is the one time of year that most of the Food Safety Tech and Innovative Publishing Company team are together. When we made the decision to move the event online, we really wanted to be considerate of our attendees, who more than likely were quickly developing webinar and Zoom fatigue. So we created a series of 14 Episodes that spanned from September until last week. I am not going to single out one episode or speaker/session in particular, because I think that all of our speakers and sponsors brought a tremendous amount of education to the food safety community. Thank you.

With that, the following are my top 10 takeaways from the 2020 Food Safety Consortium Virtual Conference Series—and this simply scratches the surface. Feel free to leave a comment on what you learned from our speakers and the discussions this fall.

  1. COVID-19 has served as the springboard for digital transformation, more of which we have seen in the past nine months than in the last several years or even decade. Tech advances are increasing efficiencies, adding the ability to be more predictive, giving more visibility and traceability in the supply chain and offering increased accessibility. These include: IoT; Advanced analytics; Artificial intelligence (FDA has been piloting AI technology); Graph technology used in supply chain visibility; blockchain; mixed reality; and remote monitoring.
  2. There are new responsibilities that come with being a part of America’s critical infrastructure and protecting essential frontline workers.
    • Companies must have a strong relationship (or work to build one) with local health departments and authorities
    • Name a COVID Czar at your company: This is a designated person, located both within a production facility as well as at the corporate location, who manages the bulk of the requirements and precautions that companies should be undertaking to address the pandemic.
  3. Every company should have an emergency risk management plan that centers around good communication.
  4. The COVID-19 pandemic is a reminder to us that the threat for viruses is always lurking beneath the surface. There is still work to be done on the food labs side regarding more rapid assays, leveling the playing field regarding conducting viral testing, and technology that enables labs to get safe, effective and consistent results.
  5. Lessons in sanitation: Investment in sanitation is critical, there are no shortcuts, and empower your sanitation employees, give them the tools they need to effectively do their jobs.
  6. The FDA’s FSMA Proposed Traceability rule is expected to be a “game changer”. It will lay the foundation for meaningful harmonization. FDA Deputy Commissioner for Food Policy and Response Frank Yiannas said the pandemic really put a spotlight on the fact that the U.S. food industry needs better tracking and tracing.
  7. Know your suppliers, know your suppliers, know your suppliers!
  8. Biofilms are ubiquitous, and the process of detecting and eliminating Listeria in your facility is a marathon with no finish line.
  9. Food Safety Culture is a profit center, not an overhead department.
  10. “If I’m not well, I can’t do well.” Making sure your needs are met personally and professionally plays an important role in being a better contributor to your company’s success.

As part of a special offering, we are making four episodes of the 2020 Food Safety Consortium Virtual Conference Series available on demand for free. Head to our Events & Webinars page to register to view the sessions on or after January 2021.

Jason Chester, InfinityQS
FST Soapbox

Digital Revolution: Empowering the Remote Workforce and Resilience Post-COVID-19

By Jason Chester
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Jason Chester, InfinityQS

Around the world, countries are beginning to take tentative steps toward a return to normalcy following months of stay-at-home mandates and other restrictions in light of COVID-19. Slowly, we’re starting to see employees return to their offices, retail stores open their doors, and restaurants welcome back patrons. However, many will find themselves in a world dramatically different from the one they left before quarantine.

Namely, on top of social distancing and disinfection measures to control further spread of the virus, entire industries are re-examining their legacy processes and systems—especially ones that presented operational challenges at the pandemic’s outbreak—the food manufacturing industry included.

In truth, food manufacturers have gone to great lengths to maintain productivity and output to meet demand throughout the pandemic. But they have done so in the face of unprecedented circumstances, with many plants operating with limited workforces and key employees like quality professionals and plant managers shifted to remote work. Lacking connectivity between those on the plant floor and at home due to long-held manual processes, a growing number of manufacturers must now take a hard look at their quality and safety programs and embrace digital tools.

A Wake-Up Call for Digital Transformation

Most technological investments in food manufacturing over the past several decades have centered on electro-mechanical automation designed to scale up the physical production process. Fewer investments, however, have been made on the equally important data-driven, decision-making process necessary for ensuring optimal performance, food quality and safety.

Even in the most heavily automated plants, it’s not uncommon to find manufacturers managing quality through manually updated spreadsheets, which are often only reviewed after the fact, when it’s too late for remedial correction. There are unfortunately also those who still rely on paper checklists, making it practically impossible to take proactive action on collected process data—much less get the information in front of remote quality professionals and managers. Meanwhile, others have gone as far as adopting software solutions for quality data management and process control, but these tend to be on-premises systems that employees can’t access outside of the four walls of the plant.

We have also seen many examples where, due to workforce restrictions and availability, employees from other parts of the manufacturing business (e.g., R&D, IT, and back-office teams) have been brought in to perform plant-floor activities like quality and food safety checks. The goal has been to prevent impediments to production output, just when demand has increased substantially. But ensuring that these employees perform the checks on time and in the correct way—with little time for training or coaching—has left many plant leaders in a precarious position.

The challenges seen with these capabilities and enabling geographically dispersed teams to work together through the pandemic have been a wake-up call of sorts for digital transformation. Manufacturers are coming to the realization that they’ll need data accessibility, actionability and adaptability along the road to recovery and in the post-COVID-19 world. And with social distancing and other workplace precautions expected to continue for the foreseeable future, the imperative is all the more urgent.

The Solution Lies in the Cloud

To digitally transform quality and safety programs today, food manufacturers should prioritize investment in the cloud. Notably, cloud-based quality management systems offer a way to standardize and centralize critical process information, as well as tools to empower employees at all levels of the enterprise.

For plant-floor operators struggling to keep up on account of reduced workforce sizes, such solutions can automate routine yet important activities for quality assurance, including data collection, process monitoring and reporting. If a team member needs to cover a different shift or unfamiliar task, role-based dashboards can help them to see required actions, while process workflows can provide guidance to ensure proper steps are taken even with a limited workforce. Further, automated alerts can provide timely notifications of any issues—whether it be a missed data collection or an actual food quality or safety concern present in the data.

Perhaps most importantly during the pandemic and for the post-COVID-19 world, the cloud makes critical quality data instantly and easily accessible from anywhere, at any time. Quality professionals, plant managers, and other decision-makers can continue to monitor and analyze real-time process data, as well as observe performance trends to prevent issues from escalating—all safely from home.

The scalability of cloud-based solutions also streamlines deployment so organizations can rapidly implement and standardize on a single system across multiple lines and sites. In doing so, it becomes possible to run cross-plant analyses to identify opportunities for widescale process improvement and align best practices for optimal quality control at all sites. This ability to understand what’s happening in production—through real-time data—to enact agile, real-world change is a hallmark of successful digital transformation.

An Investment for Whatever the Future Holds

Ultimately, investments in secure cloud-based quality management and the broader digital transformation of manufacturing operations are investments in not only perseverance during the pandemic, but also resilience for the future. Food producers and manufacturers who can readily access and make informed decisions from their data will be the ones best equipped to pivot and adjust operations in times of disruption and uncertainty. And while it’s unclear what the future holds for the world, the food industry, and COVID-19, it’s safe to say we likely won’t see a full return to normalcy but the emergence of a new—and in many ways better—normal, born out of digital solutions and smarter ways of thinking about quality data collection and monitoring.

Data protection, security

The Digital Transformation of Global Food Security

By Katie Evans
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Data protection, security

Modern food supply chains are inherently complex, with products typically passing through multiple suppliers and distributors, as well as countries and continents, before they end up on the supermarket shelf. While global supply chains offer consumers greater choice and convenience, they also make protecting the security of food products more challenging. With additional stakeholders between farm and fork, products are exposed to an elevated risk of biological or chemical contamination, as well as food counterfeiting and adulteration challenges—potentially putting consumer health and brand reputation in jeopardy.

Given the importance of maintaining the safety, quality and provenance of food products, global regulatory bodies are placing the integrity of supply chains under increased scrutiny. In the United States, for example, the adoption of FSMA moved the focus from responding to foodborne illnesses to preventing them by prioritizing comprehensive food testing measures, enforcing inspections and checks, and enabling authorities to react appropriately to safety issues through fines, recalls or permit suspensions.1 Similarly, China’s revised Food Safety Law (known as FSL 2015) is widely considered to be the strictest in the country’s history, and seeks to drive up quality standards by empowering regulators, and enhancing traceability and accountability through robust record-keeping. 2 The European Union continues to closely regulate and monitor food safety through its General Food Law, which is independently overseen by the European Food Safety Authority from a scientific perspective.

Achieving the Highest Standards of Food Security, Integrity and Traceability

For producers, manufacturers and distributors, the heightened regulatory focus on the security and integrity of the food supply chain has placed additional emphasis on accurate record-keeping, transparent accountability and end-to-end traceability. To meet the needs of the modern regulatory landscape, food chain stakeholders require robust systems and tools to manage their quality control (QC), environmental monitoring and chain of custody data. Despite this, many businesses still handle this information using paper-based approaches or localized spreadsheets, which can compromise operational efficiency and regulatory compliance.

The fundamental flaw of these traditional data management approaches is their reliance on manual data entry and transcription steps, leaving information vulnerable to human error. To ensure the accuracy of data, some companies implement resource-intensive verification or review checks. However, these steps inevitably extend workflows and delay decision-making, ultimately holding up the release of products at a high cost to businesses. Moreover, as paper and spreadsheet-based data management systems must be updated by hand, they often serve merely as a record of past events and are unable to provide insight into ongoing activities. The time lag associated with recording and accessing supply chain information means that vital insight is typically unavailable until the end of a process, and data cannot be used to optimize operations in real-time.

Furthermore, using traditional data management approaches, gathering information in the event of an audit or food safety incident can be extremely challenging. Trawling through paperwork or requesting information contained in spreadsheets saved on local computers is time-consuming and resource-intensive. When it comes to establishing accountability for actions, these systems are often unable to provide a complete audit trail of events.

Digital Solutions Transform Food Security and Compliance

Given the limitations of traditional workflows, food supply chain stakeholders are increasingly seeking more robust data management solutions that will allow them to drive efficiency, while meeting the latest regulatory expectations. For many businesses, laboratory information management systems (LIMS) are proving to be a highly effective solution for collecting, storing and sharing their QC, environmental monitoring and chain of custody data.

One of the most significant advantages of managing data using LIMS is the way in which they bring together people, instruments, workflows and data in a single integrated system. When it comes to managing the receipt of raw materials, for example, LIMS can improve overall workflow visibility, and help to make processes faster and more efficient. By using barcodes, radiofrequency identification (RFID) tags or near-field communication, samples can be tracked by the system throughout various laboratory and storage locations. With LIMS tracking samples at every stage, ingredients and other materials can be automatically released into production as soon as the QC results have been authorized, streamlining processes and eliminating costly delays.

By storing the standard operating procedures (SOPs) used for raw material testing or QC centrally in a LIMS, worklists, protocols and instrument methods can be automatically downloaded directly to equipment. In this way, LIMS are able to eliminate time-consuming data entry steps, reducing the potential for human error and improving data integrity. When integrated with laboratory execution systems (LES), these solutions can even guide operators step-by-step through procedures, ensuring SOPs are executed consistently, and in a regulatory compliant manner. Not only can these integrated solutions improve the reliability and consistency of data by making sure tests are performed in a standardized way across multiple sites and testing teams, they can also boost operational efficiency by simplifying set-up procedures and accelerating the delivery of results. What’s more, because LIMS can provide a detailed audit trail of all user interactions within the system, this centralized approach to data management is a robust way of ensuring full traceability and accountability.

This high level of operational efficiency and usability also extends to the way in which data is processed, analyzed and reported. LIMS platforms can support multi-level parameter review and can rapidly perform calculations and check results against specifications for relevant customers. In this way, LIMS can ensure pathogens, pesticides and veterinary drug residues are within specifications for specific markets. With all data stored centrally, certificates of analysis can be automatically delivered to enterprise resource planning (ERP) software or process information management systems (PIMS) to facilitate rapid decision-making and batch release. Furthermore, the sophisticated data analysis tools built into the most advanced LIMS software enable users to monitor the way in which instruments are used and how they are performing, helping businesses to manage their assets more efficiently. Using predictive algorithms to warn users when principal QC instruments are showing early signs of deterioration, the latest LIMS can help companies take preventative action before small issues turn into much bigger problems. As a result, these powerful tools can help to reduce unplanned maintenance, keep supply chains moving, and better maintain the quality and integrity of goods.

While LIMS are very effective at building more resilient supply chains and preventing food security issues, they also make responding to potential threats much faster, easier and more efficient. With real-time access to QC, environmental monitoring and chain of custody data, food contamination or adulteration issues can be detected early, triggering the prompt isolation of affected batches before they are released. And in the event of a recall or audit, batch traceability in modern LIMS enables the rapid retrieval of relevant results and metadata associated with suspect products through all stages of production. This allows the determination of affected batches and swift action to be taken, which can be instrumental in protecting consumer safety as well as brand value.

Using LIMS to Protect Security and Integrity of the Food Supply Chain

Increasingly, LIMS are helping businesses transform food security by bringing people, instruments and workflows into a single integrated system. By simplifying and automating processes, providing end-to-end visibility across the food supply chain, and protecting the integrity of data at every stage, these robust digital solutions are not only helping food supply chain stakeholders to ensure full compliance with the latest regulations; they are enabling businesses to operate more efficiently, too.

References

  1. FDA. (2011). FDA Food Safety Modernization Act. Accessed October 3, 2019. Retrieved from https://www.fda.gov/food/food-safety-modernization-act-fsma/full-text-food-safety-modernization-act-fsma.
  2. Balzano, J. (2015). “Revised Food Safety Law In China Signals Many Changes And Some Surprises”. Forbes. Accessed October 3, 2019. Retrieved from https://www.forbes.com/sites/johnbalzano/2015/05/03/revised-food-safety-law-in-china-signals-many-changes-and-some-surprises/#624b72db6e59.