Tag: demand-driven manufacturing

Creating Trust Throughout the Supply Chain Using Demand-Driven Methods

How reducing forecasting errors and disruption risks create better supplier relationships.

Building trust in the supply chain is essential to driving flow; and when there are forecast errors, there is an inherent mistrust throughout the supply chain. Lack of collaboration is often the cornerstone of conflict, blame, and mistrust between a manufacturer and suppliers. Missed shipments tend to lead to finger-pointing, followed by over-buffering on both sides to guard against further disruptions, which often results in further exacerbation of the negative bull-whip effect.

Cost-effective supply chain collaboration between manufacturer and suppliers is paramount. Without that constraint addressed, all other benefits are pointless.

Start with right-sizing inventory and just-in-time replenishment practices.

In a recent issue of Financial Director, editorial contributors Paul Dennis and Peter Young, suggested if there is one thing about predicting the future that always comes true, it’s that everyone, from time to time, gets things wrong. It is safe to say that with forecasts, they can be relatively accurate at a high level (i.e. total sales, sales for product type, etc), but at a low level like sales for an individual for the week 40 is near impossible. However, this is where the relationship between manufacturer and suppliers exists. The article argues that what separates best-in-class companies from those that struggle with accuracy is how they root out (and learn from) forecasting errors.

From an inventory perspective, today more manufacturers are viewing excessive inventory as a huge financial liability rather than an asset. Best-in-class demand-driven manufacturers successfully combat this risk through “right-sizing” inventory and stock buffers using pull-based or demand-driven replenishment solutions. This methodology greatly reduces reliance on forecast and therefore reduces the impact of forecast error. A common and highly effective way to implement a demand-driven methodology is through an electronic Kanban system.

In leveraging an eKanban system, manufacturers and supply chain professionals start driving good replenishment signals to the supplier, fostering trust and reducing noise. eKanban systems automate inventory replenishment by sending suppliers real-time demand signals and enable collaboration by providing both parties with online visibility into order and fulfillment status. How does real-time collaboration and visibility impact the financial statements and key performance indicators? Case in point: In their first year on an eKanban system, plastics manufacturer, Dynisco, saved over $985,000.00 in inventory costs, just by right-sizing. (See article in Plant Services magazine.)

Create a collaborative, transparent environment for all suppliers.

“From Superstorms to Factory Fires: Managing Unpredictable Supply Chain Disruptions,” was a feature article published in Harvard Business Review by David Simchi-Levi, William Schmidt, and Yehua Wei. They suggested that leaders using traditional risk-management techniques and simple heuristics (dollar amount spent at a site, for instance) often end up focusing exclusively on the so-called strategic suppliers for whom expenditures are very high and whose parts are deemed crucial to product differentiation, and overlooking the risks associated with low-cost, commodity suppliers. The fact is, a lack of collaboration with any supplier introduces an element of risk including disruptions to flow that impact throughput. And, a lack of visibility across the supply chain network results in managers taking the wrong actions, wasting resources, and leaving the organization exposed to hidden risk. Demand or Pull-based manufacturing is a method that allows companies to identify, manage, and reduce exposure to supply chain risks by creating transparency.

We define Pull-based or Demand-Driven Manufacturing as a method of manufacturing where production is based on actual customer demand rather than a forecast – and where all layers of manufacturing are synchronized (people, process, materials, machines, and information) to drive flow. This process is accelerated by technology that automates, digitizes data and connects every function within the demand-driven organization to every layer of the supply chain. Gartner estimates that 90% of manufacturers who are not truly demand-driven, want to be. This is likely due to the many benefits demand-driven manufacturing offers, including greater customer – and supplier – satisfaction.

Environments for Demand-Driven Manufacturing

Demand-driven principles can be used in nearly every manufacturing environment because the focus is on flow through the factory. In make-to-stock (MTS) environments, a demand-driven manufacturing platform can drive immediate improvements by right-sizing inventory, increasing flow and throughput, and replenishing resources using an eKanban system. These improvements can be extended across the entire supply chain. In make-to-order (MTO), engineer-to-order (ETO), and configure-to-order (CTO) environments, a synchronized demand-driven manufacturing planning, scheduling, and execution approach manages constraints to deliver increased flow, throughput, on-time delivery, and clarity throughout the manufacturing process and the extended supply chain.

In any environment, the aim of a demand-driven system is to synchronize all layers of manufacturing to drive flow. Order statuses (and any associated disruptions) are visible throughout the enterprise – to the production team, supply chain management, customer service, sales, leadership – and suppliers. Everyone is working from the same factual, real-time information. Trust is built from a single version of the truth gained through shared visibility and collaboration.

Additional resources:

White Paper: Gaining Confidence: Syncing Supplier Delivery to Customer Demand

Article: What is Demand-Driven Manufacturing?

Case Study: Continuous Improvement Immersion + the Right Tools Proves Profitable for Dynisco

November 7, 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
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
Five Key Elements that Drive Manufacturing Flow
If you follow the Demand-Driven Matters blog, you know we specialize in Demand-Driven Manufacturing and have identified the two key components of this method as synchronization and flow. At an enterprise level, synchronization is all about fully connecting your organization to aggregate and share information in real-time. Data from machines, tools, applications, enterprise systems – any data source – is synchronized to drive decision-making (In our view, this also enables the Industrial Internet of Things – IIoT.)

Synchronization is also an enabler of flow. In this post, I want to introduce a discussion around what we’ve identified as the Five Key Elements that Drive Flow in manufacturing production. They are:
1. Control the release – create “Pull” by gating the release of work into production.
2. Synchronize activities – align upstream operations to downstream needs, paying attention to convergence points and final assembly.
3. Continuous improvement – use the first two Elements as a baseline for defining areas for continuous improvement – and never get complacent.
4. Extend to the supply chain – synchronize activities beyond the factory to the extended supply chain.
5. Align metrics – 6 metric categories to monitor for driving action in Demand-Driven Manufacturing environments.
On their own, each of these Elements would likely improve production flow. Our position is that by working these Elements together, you take a demand-driven leap in overall flow improvement. An episode of the podcast, Demand-Driven Matters, explains this in greater detail – along with data points on actual improvements manufacturers have gained:

Recently, we’ve been hearing from more manufacturers who want to do more with what they have. That is, drive flow to the point that they’ve increased capacity to take on more work – or enter new markets. One client we worked with saw the Demand-Driven method – and its ability to drive flow – as a means to expand one of their business units without dramatically increasing headcount. Another client was able to use this method to free capacity to enter a new market – and doubled revenue in 2.5 years.

In upcoming posts, we’ll review each Element in greater detail – you can also learn more about them through the Demand-Driven Matters podcast. In the meantime, let us know if you’ve worked through any or all of these Elements – and what your results were.
November 5, 2015
The Industrial Internet of Things (IIoT) and the Modern Marketer

For your customers, it’s more than just connectivity

I was recently reading about the Industrial Internet of Things as it relates to my business—manufacturing software. It’s exciting that technologies are now available that will liberate manufacturers from the rigid systems and processes of the past. For today’s manufacturer, the IIoT boils down to the ability to capture and connect data from multiple sources to attain truly meaningful information.

An interesting outcome of all of this is that it’s driving manufacturers to a more service-driven model to effectively compete. Manufacturing.net noted that 77% of manufacturers polled view improvements in services as a key competitive factor. (FYI – Interesting article.) They also described this movement in a blog entry:

“In this new era, manufacturers need to look beyond the single product sale transaction into a new relationship between themselves and the consumer—characterized by an ongoing delivery of value—exchanged over a platform in the form of a smart, connected product.”

Similarly, I have found that marketing manufacturing software requires me to position our services as a differentiator. Yes, most of our products can be purchased on a Cloud-based software-as-a-service model. Today’s manufacturers, however, need more than agile software, they need long-term business partners to help them navigate the changes brought on by digitization and connectivity (e.g, the Industrial Internet of Things, the Factory of the Future and Industry 4.0).

On Board Early

It’s interesting to see manufacturers really collaborate with us during the early part of the sales cycle. Long before we get to software implementation, we work with clients to address their goals and plot a course to achieve their vision. (The Orbital ATK case study is a good example.) We draw from various tools – Lean Manufacturing, Theory of Constraints and Six Sigma – to drive a demand-driven change. (Where demand equals actual customer need.)

Our prospective clients are not looking for us to just install software and leave. They need assurance that we will be true partners; always available to not only help them get the most out of their system, but to help use their new found digitization and connectivity to best manage constraints, drive ongoing continuous improvements and make informed decisions. Francis daCosta describes this perfectly in his book, Rethinking the Internet of Things:

“With the increasing automation of the factory floor, the autonomous or semi-autonomous lower–level control and feedback loops made possible through distributed intelligence within the Internet of Things may allow for higher production and better use of human resources. If integrator functions can handle lower-level adjustments and controls of operating machinery, human eyes and minds may be freed for longer-term analysis and optimization, based on exception and historical data collected at a higher level. (p. 135).”

So, with the factory floor more digitized and your machines and systems connected, you suddenly have access to an incredible amount of data. The question then becomes how do you turn that data into meaningful information? Information that will improve workflow, pre-empt issues, lend focus to continuous improvement efforts and more? This is the service component – and where experience really counts. In many cases, we become trusted advisors to our client’s in-house teams, not just because we know the software inside-out, but because we’ve been successful with a variety of similar manufacturing environments.

Selling Consultative Value

With the rate of change brought on by the Industrial Internet of Things, connected factories will look completely different in a decade. Because our clients know that Synchrono has always been ahead of the curve, they know we are not just selling them software—we’re selling them tools to better service their customers and better compete. And we’ll be there to help them realize it.

If you are a marketer engaged in classic features-benefits selling, I would urge you to move beyond that discussion. Practically speaking, of course, these matters are extremely valuable to clients because they can check off all of the boxes on their functional requirements list – but you don’t distinguish yourself. Communicate how you will help them win in a competitive market through stellar service enabled by a more informed workforce.

Case studies provide a great vehicle for communicating service value. For example, we have service plans that build continuous improvement processes into the implementation plan. We have ROI numbers from other clients that show how much they realized in waste reduction—and also, about the time they saved through our standard integrations into their ERP.

We can plot a compelling graph that shows cost-avoidance numbers because we have helped put an end to expensive expediting in their production environment. We have testimonials from our clients’ suppliers about how their new, end-to-end eKanban inventory replenishment software repaired adversarial relationships and helped them become more responsive to customer needs.

These are just a few of the stories we tell that were a result of the added services we provide. Clearly integrating services (and their results) into your value proposition helps differentiate your company in a cluttered market.

Customers need to know they can trust us—their supply chain depends on it. Building this trust requires sharing our strong record of success with other clients. Are there unique ways that you have done that? Let me know, I’d love to hear from you.

July 8, 2015

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