Author: David Dehne

3 Ways to Put Big Data to Work in Your Factory

Is enthusiasm for Big Data wavering?

In 2015, McKinsey Global Institute claimed that the IIoT had the potential to create as much as $3.7 trillion in economic value in the global manufacturing sector by 2025. They also predicted that 80 to 100% of manufacturers will have implemented IIoT applications by then and already be reaping the benefits of data-driven insights into their operations.

When Gartner surveyed manufacturers in 2016, nearly three quarters said that their organization had invested or were planning to invest in Big Data, perhaps putting the manufacturing sector a bit ahead of schedule.

However, the Gartner survey also uncovered signs that Big Data investments may not yet be providing the anticipated returns. A full 85% of projects were still at the pilot stage. And, as further evidence that enthusiasm for Big Data may be wavering, only 11% of those who said they had invested claimed their Big Data investments were at least as important as other IT initiatives.

To drive ROI, begin with a purpose in mind

From our perspective, a large part of the reason Big Data/IIoT projects fizzle out is because team leaders and company executives don’t have a clear vision of the purpose of the initiative. They gather data as though it were a valuable raw material, but then they struggle to make anything useful out of it.

In this post, I’ll cover the three ways you can use Big Data to improve operational performance.

#1 Predictive analytics – The most common benefit espoused by Big Data enthusiasts is gaining insight into what might happen so you can prepare. Bernard Marr, a noted speaker and columnist for Forbes, describes it this way. “Big Data works on the principle that the more you know about anything or any situation, the more reliably you can gain new insights and make predictions about what will happen in the future.”

Predictive maintenance is probably one of the best-known applications of predictive analytics and Big Data. Before the IIoT, manufacturers had to guess how long a piece of equipment would last and when it would need maintenance. Unplanned downtime was common and costly.

Intelligent machines (even if that intelligence is retro-fitted) provide alerts on when the equipment is performing outside of normal parameters, e.g., running at a higher temperature indicating excess friction. And when connected to smart manufacturing tools like SyncOperations™, automated workflows and alerts to maintenance address the issue before it becomes a problem. From a demand-driven manufacturing perspective, this turns unplanned downtime into planned downtime and gives the planner/scheduler time to adjust and optimize flow.

Related resource: How Technology Will Connect Your Enterprise and Create the Demand-Driven Factory of the Future – Today.

#2 Continuous improvement – Continuous improvement is the cornerstone of any Lean initiative and has become a best-practice throughout the industry, even in those organizations that don’t consider themselves Lean. Big Data gives you the data you need to measure what matters and the ability to work with real data as opposed to someone’s best guess about what’s happening on the factory floor.

Of course, it goes without saying that a BigData initiative is only as good as the data the manufacturer has to work with – and if the right data can be accessed by the right people at the right time. In a typical manufacturing operation, data may be stored in dozens of places. Managing issues impacting production is easier with software like SyncManufacturing™ that can leverage its own data in addition to that stored in an ERP or other external system – and use it to make real-time adjustments to ensure production is flowing and resources are synchronized throughout the factory and extended supply chain.

Related resource: Metrics that Drive Action

#3 Real-time responsiveness – Finally, most manufacturing operations can be considered something like “controlled chaos.” Rush orders come in. People get sick. Raw materials shipments are delayed. Scheduling to known constraints is a piece of cake compared to optimizing flow when the unexpected happens. Demand-driven manufacturing can take signals from the shop floor to automatically synchronize production based on what is actually happening in your operations.

Related resource: Set the Right Pace for Production

Just as you wouldn’t buy a piece of equipment without knowing what it’s for, you shouldn’t launch a Big Data initiative without knowing what you want to accomplish. Beginning with a clear idea of what you want to accomplish can help keep enthusiasm high and ensure you see a return on your investment and efforts.

October 16, 2017
Doing more with less: Learning from Kanban

The manual Kanban cards that were the precursor to Lean Manufacturing have evolved into eKanban systems that automate inventory replenishment and reduce material waste...

READ MORE on our guest post on EBN, the premier online community for global supply chain professionals.

October 11, 2017
The Magic Bullet for Real-Time Supply Chain Collaboration? Cloud Visibility.
Jessica Twentyman reported in the Financial Times, that for many manufacturers, supply chain collaboration is stuck in the dark ages. When it comes to ordering materials and components, managing inventory levels, or organizing the delivery of finished goods to customers, companies are forced continually to chase business partners – mostly suppliers, logistics companies, and retailers – via a messy stream of emails, phone calls, and even faxes. Worse still, much of the data that could give manufacturers a complete, end-to-end view of their supply chain already resides within the systems of these partners; as much as 80 percent of it, according to some industry estimates.

Supply Chain Market reported the closest any manufacturer can get to the magic bullet of efficiency (collaboration) is through greater supply chain visibility. Supply chain visibility means all partners get access to – and share data – in real-time. Visibility to all orders allows suppliers to proactively respond to demand signals. Poor visibility often results in parts shortages. Frustrated manufacturers report having no idea they were down to the last box of parts. The result is expensive; using faster shipping methods to get the part back on the shop floor. A real-time view of parts on hand allows a supply chain manager to take action before there is a stock out, eliminating expedited fees.

A single – visible – version of the truth

Modern Demand-Driven Manufacturers are leveraging real-time Cloud-based visualization and collaboration systems to view data from multiple, disparate sources while keeping the data in its original, host environment. The value of these visualization systems is in their inherent flexibility. Once the data connections are made, they can be accessed and used (with appropriate permissions) at any point along the end-to-end supply chain spectrum. There is no limit to the data sources that can be connected or how the data can be sliced and diced and made visual to accommodate the different layers and levels of the manufacturing enterprise.

The result is a single – visible – version of the truth that enables a more compliant, consistent, Lean, and waste free supply chain. Visualizations can be created or configured by and for the individual user, work center, plant or multi-plant/enterprise, supplier, or customer level. Order, replenishment status, inventory levels, machine maintenance, system alerts, KPIs, logistics tracking, and more can be made accessible to the appropriate parties anytime, anywhere, providing a single source for real-time information.

Data on Demand: Examples of value across supply chain layers
- Customers gain visibility into order receipt, status, and delivery data. In ETO environments, visibility tools can provide further collaboration capabilities on product specifications and requirements.
- Suppliers receive real-time demand signals with the ability to exchange purchase order and projected delivery information online. Supply Chain Managers can collectively visualize and track the performance of all suppliers against their service level agreements (SLAs).
- Individual users have easy access to information they can act on to analyze issues and improve performance. Customer Service representatives can follow the status of their customer’s order and confirm delivery details; Operators have a clear view of priorities and an understanding of what to work on next; Quality Analysts are immediately alerted to issues and can quickly trace the source of the problem.
- Work Centers can monitor all the machines in their area through a single screen to collectively determine overall equipment effectiveness (OEE) and gain insight for preventative or prescriptive maintenance.
- Individual Plants can visualize real-time end-to-end production flow and the status of safety, compliance, and key performance indicators (KPI) at any level in the facility.
- Regional Plant Networks can connect to Warehouse/Distribution Centers to better manage excess inventory and monitor status from Third Party Logistics (3PL) providers.
- Multi-National Enterprises can connect to global data sources – including Supplier networks and Contract Manufacturers – to assess individual plant performance and collectively view and track logistics flow throughout their enterprise.
Newer Cloud technologies are more intuitive with drag-and-drop functions and natural language queries. IT is no longer saddled with pulling data and generating reports. Through self-service tools, even non-techies can perform their own analyses and create their own dashboards and visualizations.

The technology is available and the impact of such can be far-reaching. The investment quite often produces an immediate or near-term return just in avoiding costs associated with downtime, waste and expediting.

Standardizing data formats – the key to universal, real-time accessibility.

With the multitude of data sources feeding the supply chain, the visibility value is in the ability to “mash up” or bring together data from these disparate sources to tell a complete story. The strategy for doing such is standardizing – or normalizing – data. And while this is not a new concept, today there is a more efficient and cost-effective approach. Through the Cloud, data is accessed from its host environment and aggregated, analyzed, and shared by standardizing the data and making it accessible in real-time through technology tool sets like SignalR. These lighter weight, highly flexible and scalable web-enabled technologies are rapidly replacing costly hardware devices traditionally used for data standardization.

Ultimately, visibility technologies should be measured by their ability to provide the right data to the right people at the right time. The true value proposition is in having the right information to take immediate action – the decision-driving data that will make a difference in how your supply chain is performing today.

More information on this topic:

White paper: End-to-End Supply Chain Visibility Technology is Here

Video case study: How Orbital ATK is Leveraging the IIoT and Visual Factory Technology to Drive Continuous Improvements

Video: SyncView Real-time Manufacturing Visualization System – 4 minute overview
June 19, 2017
Why Demand-Driven Manufacturing is Focused on Metrics for Action

Driving Continuous Improvement.

In Demand-Driven Manufacturing, there is only one measurement that is important to drive performance: Throughput. There are two subordinate measurements: Inventory and Operating Expense. These three measurements cover the gambit of what needs to be measured because they are directly related to customer orders, cash captured inside the organization, and the cash it takes to turn inventory into sales.

Demand-driven managers know that having too many metrics leads to conflicting measurements. From a Demand-Driven Manufacturing operations perspective, you want to pay strict attention to strategic control points for improving Throughput. We call these Metrics for Action.

Metrics for Action

Metrics for Action are not intended for overall business analysis or for simply reporting. Rather, they are metrics grounded in Lean Manufacturing, Constraints Management, and Six Sigma principles that serve as operational indicators that can be acted on to improve production flow and ultimately, Throughput.

Example: A specific actionable metric for Demand-Driven Manufacturers is Constraint Productivity; a metric that determines whether a constraint resource is operating at its optimal capacity. Manufacturers monitoring Constraint Productivity want to get to the point where they are releasing work onto the shop floor at a rate that equals the constraint resource’s optimal production level. This is the pace at which the constraint keeps flow moving throughout the entire production process. Think of it like a metered freeway entrance ramp – your car is let on to the freeway at a rate where you can easily merge and traffic keeps flowing. Without the meter, there would likely be a traffic jam, impacting everything up and down-stream.

Ultimately, the constraint is the pacemaker of the system, so by understanding Constraint Productivity, you understand the flow of the entire system.

Alignment Between Metrics for Action and Continuous Improvement

Sustainable metric improvements require a continuous improvement methodology—a cycle that is never fully complete. Continuous improvement (also referred to as Kaizen) is a process for becoming increasingly competitive by improving efficiency and quality through systemic, incremental changes. In demand-driven environments, continuous improvement efforts look to address the most significant disruptions to production flow. Toward that end, Demand-Driven Manufacturers monitoring Metrics for Action have a leg up. The goal of this concise set of actionable metrics is to provide real clarity around the elements that drive flow – and to quickly make adjustments to improve organizational excellence and enhance demand-driven results.

Example: If you applied a continuous improvement process to the Constraint Productivity example, you would work to understand the capacity of the constraint(s) and adjust the pace until you’ve achieved an optimal rate of flow (e.g., end-to-end production flow). In doing so, you may also create a competitive advantage in your market through improved lead times and/or increased capacity.

Like Demand-Driven Manufacturing itself, Metrics for Action are based on synchronization and managing constraints to drive flow. Improvements in these areas lead to improvements in the core metrics of Throughput, Inventory and On Time Delivery which in turn, leads to improvements in other key areas. Are your metrics really working for you? We welcome your comments – and any examples you have of how you’ve used actionable metrics.

Additional resources:

White paper: Demand-Driven Manufacturing Metrics for Action provides additional background on Metrics for Action and examples.

Article: CONLOAD™ is a software scheduling algorithm that will determine the pace of constraint resource(s) and automatically release work into production at an optimal rate to keep production constantly flowing.

April 4, 2017
Demand-Driven Supply Chain Transformation

End-to-end Visibility for Real-time Coordination, Communication, and Commitment

By applying demand-driven methods and synchronizing processes, manufacturers are reaching new levels of communication, profitability, and customer responsiveness.

Demand-Driven Manufacturing incorporates the best of Lean manufacturing, Theory of Constraints (TOC), and Lean Six Sigma principles. In demand-driven environments, production is based on actual customer demand, with everything synchronized (people, processes, materials, machines, and information) to drive flow. The process is accelerated by software that automatically collects, analyzes, and communicates data in real-time; connecting every function within the manufacturing organization and throughout the extended supply chain.

Demand-Driven Manufacturers focus less on unit-costing measures and more on global effectiveness, taking a more holistic view of the entire production system and extended supply chain. While data silos are still frequently found among discrete manufacturers, those with synchronized systems and processes have more comprehensive, actionable knowledge about their production cycles – and a single version of the truth. This heightened visibility ensures that managing customer orders, expenses, and investments across the enterprise is both accurate and profitable.

Supply chain transformation

Disruptions large and small confront today’s supply chains on a daily basis, and organizational survival depends on the ability to anticipate, adapt, and transform supply chains to deliver greater reliability and performance. In modern Demand-Driven Manufacturing environments, the traditional supply chain is transforming into more of a virtual value chain – connecting customers, suppliers, service providers, and contract manufacturers in real-time using Cloud-based technologies that enable end-to-end supply chain visibility. These manufacturers can instantly adapt to demand fluctuations, by sending real-time signals across their supplier network. Beyond the major strategic advantages, these connected supply chains can respond with greater agility to traditional short-term challenges such as shorter lead and replenishment timelines, cost reduction/avoidance strategies, inventory optimization, logistical issues, and more.

A demand-driven supply chain with end-to-end visibility provides real-time information on current demand and inventory levels to all supply chain participants so that they can react quickly and effectively—by revising forecasts given to their own suppliers, or by altering production or distribution plans—when unexpected changes occur. This allows manufacturers to optimize planning, procurement, production, inventory replenishment, and order delivery for better service, higher sales, and lower overall costs.

A real-time connected supplier network offers both tangible and intangible benefits. Tangible benefits include greater market share and increased revenue by maintaining relevance with the supply network through improved product development, cost avoidance, and additional cash freed by reducing inventory and managing shortages or obsolesce.

Intangible benefits are rarely discussed but include engaged employees and suppliers working together, rather than creating barriers from misaligned objectives. A demand-driven supply chain with end-to-end visibility results in better coordination, communication, capacity, and commitment among all participants.

The annual meeting of transformational minds

At this year’s Gartner Supply Chain Executive Conference (May 23 – 25 in Phoenix), Chief Supply Chain Officers and their teams will learn how to recognize the impact of disruptions and create transformational strategies that empower the organization. The ability to identify must-have innovations to support the supply chain of the future will be part of the conversation as well as fostering solutions for next-generation supply chains with best-in-class talent and organizational strategies. If you are attending, stop by the Synchrono booth – we’ll have our new white paper available on end-to-end supply chain visibility technologies.

March 23, 2017
Supply Chain Visibility and Collaboration – How ERP Falls Short

TR Cutler, Inc. Market Research (TMR) just released the results of a survey conducted in the first two weeks of February, 2017. The respondents were all discrete manufacturers and all held VP or C-level titles. The universe of completed surveys totaled 401 and inquired about the highest priorities for manufacturers today. (The sample size ensures statistical significance to a probability of +/- 3%).

Key Findings and Frustrations

Unsurprisingly more than two-thirds (68%) of the participants said streamlining the supply chain is the highest priority for discrete manufacturing companies. Purchased parts are typically 60% or more of the manufacturing expense, driving tremendous pressure on materials and supply chain executives to trim costs, while simultaneously improving on-time delivery.

Interestingly a near identical percentage (67%) said that ERP (enterprise resource planning) solutions fall short of achieving accurate, real-time, visible supply chain data. This frustration is understandable as most medium and large manufacturing companies have already invested significant capital (both fiscal and human resources) in these ERP systems. ERP systems are capable of managing many business processes within the four walls of their operations, but fall short in providing complete supply chain visibility and collaboration capabilities.

Because of the prior investment into ERP, most senior manufacturing engineers, plant managers, VP of operations managers, and top supply chain executives, invariably look to their ERP/MRP vendors with whom they have been working for years, to solve the problem. Despite promises of ERP panaceas, none has an ideal solution for supply chain collaboration, supplier visibility, or the ability to access and aggregate voluminous amounts of real-time data from multiple sources.

ERP systems are great for their intended purpose of managing and processing structured transactions. Manufacturing modules in ERP systems, however, do not have the flexibility to manage the real-time variability inherent in most manufacturing environments or the capabilities to support end-to-end production planning, scheduling and execution and associated visibility needs. Therefore, manufacturers who bought into the promise of holistic ERP solutions are forced to return to planning and scheduling using archaic spreadsheets. To address the market need for end-to-end supply chain visibility and collaboration, manufacturers need a solution that will connect to many data sources, such as logistics, supply chain management, lean production, inventory/warehouses, distribution, and transportation.

Synchrono solutions address these market needs. The company’s demand-driven solutions will work with any ERP system to capture transaction data; allowing manufacturers to maintain their current ERP investment and extend automated, end-to-end solutions to manufacturing operations and the extended supply chain. Synchrono has been facilitating collaboration between manufacturing plants and their global supply base in this way for nearly twenty years.

Synchrono data allows discrete manufacturers to gain visibility of demand and supply, simplify the buying and receiving processes, reduce inventory, eliminate part shortages, and track continuous improvement metrics. The ability to extend the value of the ERP system with secure, real-time supply chain visibility solutions gives both IT and the business, the tools to be successful.

February 28, 2017

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