Author: David Dehne

Lean Manufacturing Driven by Rapid Return on eKanban Technology Investment

Lean Manufacturing relies heavily on trusted relationships with suppliers and pre-negotiated terms of engagement. Through the use of supplier quality certifications and blanket (long-term) purchase orders, a manufacturer can accurately and effectively calculate the optimal level of inventory needed to fulfill demand requirements through the duration of replenishment lead time.

Ensuring supplier performance

When a relationship is setup with a supplier, a service level agreement is defined. Items such as negotiated lead times, packaged quantities, order receipt confirmations, and advanced shipment notices must all be specifically spelled out. An eKanban Pull-based inventory replenishment system monitors that each aspect of the service level agreement is being met by the supplier in real-time. If they are not, a series of alerts and notifications are issued to all interested and affected parties. This gives everyone a chance to quickly adjust their behavior to bring performance back in line.

eKanban software also makes all of this real-time information available for historical analysis and to identify trends in performance. Late shipments, short shipments, and other supply chain performance concerns are all captured and presented in terms of percentage of conformance to the service level agreement. These reports give everyone in the supply chain information about how to focus their continuous improvement energies.

Eliminating inventory waste

eKanban is heavily based on Lean and Six Sigma principles and tools, and adds focus to these efforts by eliminating inventory waste through real-time demand signaling and just-in-time replenishment.

eKanban replenishment is based on the notion that if you take one, you make one. As such, you are reducing on hand inventory and not building assemblies or products without actual demand. You dramatically reduce the amount of inventory that becomes old or obsolete, free warehouse space and you build flexibility – and potential capacity – into your production process. An eKanban system exposes this flexibility so that manufacturers and suppliers can rapidly evaluate the true capability of the system to respond to a specific change in demand.

Manufacturing operations utilizing Lean are increasingly implementing Pull systems with more suppliers. And eKanban systems are taking hold as a relatively easy, and non-disruptive way to introduce Lean thinking into the organization – and bank on a quick return. Just in “right-sizing” inventory levels alone, some manufacturers have saved millions and added tens of millions back to cash flow that can be put to use in more productive ways than filling a warehouse. Additional savings are being realized in improved supplier relationships, lead times and inventory turns – and a dramatic reduction in administrative paperwork.

If you have an experience using a manual or eKanban system, please add a comment. I’d like to hear it!

Additional Resources:

Case Study: Dynisco, A Roper Company

White Paper: Exploring Push v. Pull Manufacturing with Kanban

October 18, 2016
Demand Driven Manufacturing in the Engineer-to-Order Space

Aligning Lean Manufacturing and Continuous Improvement Practices

Demand-driven manufacturing (DDM) is an approach to manufacturing where production is based on actual demand rather than forecasts. DDM enables a synchronized, closed loop between customer orders, production scheduling and manufacturing execution – all while simultaneously coordinating the flow of materials and resources across the supply chain. The terms Pull-based manufacturing and Just-in-Time (JIT) manufacturing are also used within the context of DDM and the flow of materials.

Synchronizing engineering and manufacturing

Engineer-to-Order (ETO) product designers attempt to provide “mass customization” of unique, one-of-a-kind products better, faster, and cheaper than competitors. DDM methods and systems allow for many or all portions of the ETO process to be automated, providing quicker turnaround, lower engineering costs, and consistent adherence to product rules and standards. Extending Demand/Pull automation capabilities beyond manufacturing to the engineering group, ensures that they are in alignment with manufacturing production, and ultimately, customer needs. We’ve found that engineering groups who are engaged in this way realize significant increases in Engineering throughput.

ETO, along with MTO (made-to-order), CTO (configure-to-order) and MTS (make-to-stock) environments can improve production flow and throughput (profitability) through synchronization (people, process, machines, materials and data) enabled using demand-driven manufacturing methodologies.

Process automation and big data

Synchronization of data improves processes, production flow and visibility. The practice of analyzing, documenting, optimizing, and automating manufacturing processes starts by evaluating value-added tasks. Well-developed DDM systems create a seamless link from initial client contact throughout the supply chain to customer delivery. Automation of these processes improves the accuracy of the information transferred and ensures the repeatability of the value added tasks performed.

In addition to automation, effective ETO technology solutions drive engineering innovation. Data integration and aggregation with machines and systems across the enterprise provides insight to develop new features and additional product offerings. Instant visibility into design requirements, compliance, quality, process and machine data through a single window not only empowers engineering with essential product development knowledge and lessons learned, but provides an information platform from which they can direct continuous improvement efforts.

Connecting and communicating through a demand-driven ecosystem

ETO manufacturers invest in demand-driven methods based on (among other things) the value of significantly reducing lead times, engineering and manufacturing cycle times, and product rework while improving customer service, internal communication, capacity and throughput. There is additional value to the clients of ETO manufacturers when their product is of high quality, designed precisely to their requirements and delivered on time and within budget. As such, demand-driven technologies for the ETO market extend value when they create a single version of the truth through an ecosystem that connects sales/customer service, engineering, operations and the shop floor with the same, real-time information.

With nearly 60% of ETO sales now based globally, the ability to operate in a web-based data-driven environment becomes more critical. ETO manufacturers build unique products designed to customer demand (specifications). Each product requires a unique set of item numbers, bills of material, and routings. Estimates and quotations are required to win business.

Unlike standard products, the customer is heavily involved throughout the entire design and manufacturing process. Engineering changes are typical and material is not purchased for inventory, but for a specific project. All actual costs are allocated to a project and tracked against the original estimate. Once complete, the product is typically installed at the customer’s site. In most cases, aftermarket services continue throughout the life of the product. And while it sounds onerous, these one-of-a-kind manufacturers are thriving because they recognize the value (and growing market opportunity) in implementing manufacturing solutions based on actual customer demand. Case studies demonstrate that margins are better when proven, demand-driven solutions geared for discrete manufacturers are implemented.

If you work in an ETO environment, I’d welcome your comments and thoughts around demand-driven and Lean practices.

Recommended reading:

White Paper: Why Become More Demand-Driven? Responding to Customer Needs

Article: What is Demand-Driven Manufacturing?

Webpage: Lean Manufacturing and Demand-Driven Value

October 4, 2016
Modern Metrics

How Technology Has Changed What We Measure

The two areas of my working world are embracing technology like never before: Marketing and manufacturing. While digital content and automated technologies gave birth to the modern marketer, a more real-time, digitally connected enterprise is driving modern manufacturing strategies like the Factory of the Future, Smart Manufacturing and Industry 4.0 – all of which are grounded in Demand-Driven Manufacturing methods.

This got me thinking. In both worlds, technology is not only changing our strategies, processes and behaviors, it’s changing what and how we measure.
Eight or so years ago, a dramatic shift began occurring in marketing as a result of a more Internet-enabled and digitally connected market. With greater access to information, today’s buyers are better informed; they do their due diligence before even contacting vendors. In fact, some say that up to 70% of the buying process is complete before the buyer even engages with a salesperson.¹ As such, more marketers have embraced inbound, or pull-based strategies that drive quality engagement (visits, downloads, clicks, views, likes/follows, etc.) based on meaningful, relevant content.

Nurturing, tracking and analyzing that engagement – and discovering behavior patterns – is where technology comes in. Today’s modern marketer may have a toolbox of technologies, including, a marketing automation system (MAS), content management system (CMS), customer relationship management (CRM) system, SEO and media intelligence tools and more. We use these technologies to track levels of contact engagement and conversion ratios to develop more predictable buying cycle patterns and pipeline forecasts. We develop lead scoring systems based on engagement and where people are in the buying cycle. We nurture contacts who are not in an active buying cycle with relevant content so they know where to find us when they’re ready. We garner data that helps us to better understand our prospects, in particular, the challenges and issues they experience in their daily role so we can deliver more personalized and meaningful content.

In the same way that marketing is leaning more on technology for decision-making data – and what to take action on to improve performance – more manufacturers are investing in technology to better serve their clients, elevate their competitive position and increase revenue. As mentioned earlier, modern manufacturing concepts like The Factory of the Future, Smart Manufacturing and Industry 4.0 are based on Demand-Driven Manufacturing methods and enabled by a more digitally connected enterprise. Modern manufacturers have the ability to connect their software systems and machines; pulling, aggregating and analyzing data from these resources in real-time and making it visible to all. Quality analysts are instantly alerted to issues; process engineers are better equipped to drive production flow, and machine operators have a clear view of job priorities and what to work on next.

Given the more customer-centric demand-driven model – coupled with greater access to information – the metrics that manufacturers monitor to make improvements in operations become more focused and actionable. Inventory Turns, On-time Delivery and Fill Rate provide an overall indication of Operations and Supply Chain health, while other metrics such as Schedule Adherence, Supplier Quality and Yield provide more localized insight. This model has also introduced some new operations metrics – Queue Turns (how often the queue turns in front of a resource over a given time period) and Constraint Productivity (indicates whether constraints are operating at their optimal capacity).

Focus on what you can take action on to improve

For both marketers and manufacturers, technology has converted data into actionable information and provided great insight on how we can continuously improve. A caveat to all this data is that it is not how much you measure, but what you are measuring. Like manufacturing, in marketing there is no end to the number of data points you can monitor. Combat data overload by knowing what you want to achieve and focusing on metrics that align with those goals.
If you’d like to learn more, here are some resources that you may find helpful:
eBook: The Definitive Guide to Marketing Metrics & Analytics by Marketo
White Paper: Demand-Driven Manufacturing Metrics that Drive Action

¹Definitive Guide to Marketing Metrics and Analytics, Marketo, ©2011.

August 22, 2016
Made for Manufacturers

By Sarah Balogh

Made for Manufacturers

A common statement I hear from customers is that they are working with technology and software that doesn’t provide the functionality they need as manufacturers. They are told that certain enterprise software packages “can do everything” they need to plan, schedule, and run their factories. But months after implementation they feel a sense of disenchantment. Why is this?

Software Made for Manufacturing

What these customers have in common is that they bought software that can be used for manufacturing. But what they really need is manufacturing software. True software built for manufacturers provides capabilities and value unique to companies in the business of planning and producing goods to bring to market. Manufacturing software is created with the industry and business of manufacturing in mind. It is built with the intention of providing an organization the tools it needs to gain control of their production floor, deliver quality goods on time, and gain visibility into operations and the supply chain beyond the four walls of the plant.

The good news is even if you didn’t purchase manufacturing software initially, you always have the opportunity to start the journey of enabling the factory of the future, exactly from where you are today. How? By selecting manufacturing software that can integrate and play nicely with your existing systems while providing the specific manufacturing functionality you need.

Connect to Anything and Everything

Manufacturing enterprises today have one thing in common – they are all unique. They have nothing in common with other manufacturers’ architecture and solution portfolios. Each organization tends to be a mixed collection of legacy, new enterprise, and point solutions (with the ability to access data within and across these solutions just as varied for each company). Therefore, one of the elements that good manufacturing software should include is the ability to connect to and take advantage of all of this data, plus any future data sources. This makes it possible for any company, wherever they are in their continuous improvement or demand-driven journey, to start harnessing the power of their own information to drive decisions from real data.

To start driving value for your manufacturing business, I recommend using a factory visualization solution that has the ability to connect to and use this existing data for analysis, visibility and to serve as the much sought after single version of the truth. Suddenly data across the enterprise is liberated to serve your organization as usable and actionable information. When your different technologies are all connected to a visual factory system, you break down the data silos. In combining these data sources, you become empowered with information, gaining new and more comprehensive insight into your environment and business.

At this year’s IndustryWeek Manufacturing & Technology Conference, Orbital ATK shared how they connected their environment to enable the Internet of Things and how they are using visual factory technology as a communications tool and a means to respond to issues in real time. (YouTube video.)

Next time we will talk more about what a good factory visualization tool should be able to do, and why those capabilities are necessary. In the meantime, please leave a comment!

July 6, 2016
Demand-Driven Technologies Evolved

By John Maher

When I first began instituting demand-driven practices in the late 90s, we were into creating pull, eliminating waste, and getting on a path of continuous improvement. Technology at the time was seen as an inhibitor rather than an enabler. Most people active in Constraints Management and Lean Manufacturing were abandoning their technology and going to purely manual solutions. I always believed that technology was important to get the most out of the system and to make it scalable, however, in the late 90s, the lack of technologies that enabled pull made manual the only logical choice.

One of the more fascinating developments in demand-driven enablement has been the shift of demand-driven manufacturing back to technology as an enabler rather than an inhibitor. There is recognition today that technology has to play a significant role in eliminating waste and synchronizing operations and extended supply chains. Along with this trend, the creation of open ERP systems that are easily integrated with service-oriented architecture allows companies to leverage the system they already have and benefit from today’s best-of-breed, demand-driven solutions through seamless, real-time integration. Finally, the web-based, SaaS revolution has made this process more cost effective, with expensive internal services now “downloaded” to the software provider, freeing up IT and manufacturing teams to focus on what matters. The digitization of demand-driven practices has, in effect, opened up companies’ ability to manage inventory and constraints more effectively; free up capacity; control operating expenses; drive flow; dampen variability; and create innovations to meet customer demand.

Based on decades in this business, I have found that demand-driven manufacturers realize the most benefit when they keep their eyes on the prize: Each day, they stay focused on demand-driven behaviors and remain disciplined in their efforts. It can be a difficult road. But it is my hope that this conversation will validate why demand-driven matters and inspire you on your journey each day. Until next time, keep it Lean!

Additional resources on this topic:

White Paper: How Technology Will Connect Your Enterprise and Create the Demand-Driven Factory of the Future – Today

White Paper: Why Become More Demand-Driven? Responding to Customer Needs

Article: What is Demand-Driven Manufacturing?

February 3, 2016
If it’s Not Real Time Data, It’s Old Data
We have so much real-time data around us in our daily routines. A barista starts to prepare my order the moment that I purchase my daily coffee. I instantly know how close I am to the speed limit thanks to my car’s speedometer. And I see an accurate count down of the number of minutes before my computer turns off due to a drained battery. Since all of this real-time data is available in our day-to-day lives, shouldn’t we expect the same for data we use in our manufacturing organizations?

Countless times I have walked into customer sites on Day 1 and seen old data everywhere. I have seen four walls of a conference room covered with 8 ½” by 11” printed reports, most of which were multiple weeks old. Or users that explain that they perform analysis based off of desktop spreadsheet files, with manual data loads. In each of these cases, people are operating off of old data, even if it was updated just a few hours ago. If my speedometer had that same delay, I would have a lot more speeding tickets!

Old Data is Just… Old Data

Manufacturers today are asking themselves how they can do better and be better. They realize that to be competitive, they should look inside the factory first and explore their own processes to find areas for improvement. If they analyze their data to see what it shows about their operations, they tend think that any data to go off of is better than no data, right? Not always, I say.

Based on how fast your environment changes, it could be detrimental to make decisions off of old data. Since the pace of business has increased for manufacturers, thanks to both technology and complexity, so too should the pace at which data is collected and made available to make informed decisions. For example, consider everything that can happen in the span of an hour:
- Purchasing finds out that a truck shipment of raw materials will be delayed two days due to weather.
- A new customer puts in a rush online order double the size of previous months.
- Maintenance begins fixing a problem on a constraint resource that is estimated to take at least a couple of hours.
Wouldn’t your organization want to know about all of these situations as soon as it could? Certainly. Keep in mind, however, that as more and more data is available, you’ll need to discern if, when, and how you take action. That is, you’ll need to separate knowing that events occur versus reacting to them right away. Each event could immediately impact your organization’s priorities, but you also don’t want to be jumpy and let every event disrupt your overall process. The important thing is that you are aware and that you have the right information at hand to make necessary decisions.

Better yet, your systems can also be aware of this same event data and alert you only to the issues that require your intervention. Technology solutions for manufacturers should be able to take real-time data, assess it against other conditions and values, and then notify you to respond only to the events that need your attention. This is the nature of demand-driven manufacturing – since the focus is on overall production flow, you only need to address those issues that disrupt flow. The rest is probably just normal “noise” – or what becomes a normal day for a manufacturer.

Manual Reporting Makes Data Stale

So how did we get to the point where so many manufacturers are not using real-time information? Thankfully, manufacturing technology is catching up to provide all of the information and analytics that companies seek in an automated, real-time manner. Organizations have always had the desire for information and reports, but they’ve commonly only had manual methods as options. Consider the volume of reporting that a typical manufacturing company does on a recurring basis – that’s a lot of manual reporting happening based on non-real time data. Think of the time drain that both the manual data collection and report running put on a company. If it takes an analyst only two hours to run a report, that means they are already using information that’s at least two hours old.

If you run reports on yesterday’s manually collected data, then you will only have information about yesterday. Further, we will still need a clear, straightforward way to display that information to users. I know my car’s current speed based on the easy-to-read dashboard, for example. If we demand that our organizations collect real-time data – and we have a tool like a visual factory system to display this information – then we have a powerful platform from which to understand what is happening today and what to prepare for tomorrow within operations. In the next blog, we will pick up on this topic of how to use historical data in a meaningful way, but in the meantime, send me your comments and questions.
January 14, 2016

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