Lora's Latest Post

Can You Take the Risk?

“This is not a supply chain process. It is a new way of doing business.”

Financial Leader in Discussions on Demand Sensing

In 2013, 80% of supply chain leaders had a material supply chain disruption. It was not just one. The average company had  three. Yet, in a study that we just completed, when asked about business pain, supply chain risk rates low. How come?
It is new.  It lacks a consistent definition and set of practices. Companies reward the urgent. Risk management requires a focus on the important. It requires leadership and orchestration. Teams don’t know what to do. The companies that are the most mature learned the hard way. They had a disruption.

Defining the Topic

Let’s start with a definition. For the purposes of the study that we just completed, we defined supply chain risk management as the proactive identification and resolution of potential risks to the supply chain. The key word in this sentence is proactive. Unfortunately, too many supply chains are reactive. The systems respond, but they do not sense. Performance is measured by indicators, not by performance predictors. The reward systems focus on the urgent, not the important.
In this series of posts, I will be sharing insights from the research from this recent study. This data will also be featured in an upcoming report in our newsletter.

New Insights

When you talk to supply chain leaders about risk management, their answers tend to be hard-wired for supply. Many will wax eloquently about the work that they are doing on “control tower” or “supply chain visibility.” It is not sufficient. We are only dipping our toes into turbulent waters.
I have been working as an analyst in supply chain management for the last decade. In this role, I have done a study on risk management about every five years. I seldom get surprised on study results; but, the answer to the question on risk drivers in this survey surprised me.  As you can see in Figure 1, today it is less about supply and more about demand. The largest gap in risk management expected over the next five years will be the management of global operations. For me, these two trends hop off the page:

  • Increasing Complexity of Operations. With a decade of building global supply chains behind us, companies are feeling the impact. Local regulations, fair labor, variability in shipping lanes, new materials, outsourced manufacturing and faster product development cycles are all contributing to the pain. The financial stability of contract manufacturers and third-party logistics firms is a growing risk. It is not just one factor. We are better at managing regional supply chains than tangled/knotty global ones. The organizational dynamics and politics make regional/global governance difficult.
  • Demand Variability. The biggest surprise for me in the research is the role of demand uncertainty on risk. The building of demand sensing capabilities requires the automation of market sensing and the use of channel data. The change management issues are high. It is difficult for the supply chain to accomplish this by themselves. Why?  The term “supply chain” is politically charged. It has become a function, not an end-to-end process.  Marketing and sales are also functions. The functional approach does not allow us to build demand processes. By and large, marketing and sales are not good at forecasting demand. They introduce bias. To combat this issue, and drive success in demand sensing, many companies have to rename the work stream so that it can truly be an end-to-end focus. For sales-driven and marketing-driven companies, this is a major change management issue.

 
Figure 1.
Supply Chain Risk Drivers

So, What Should Companies Do?

Recognize the Issue. Simplify Operations. This includes simplification of the product lines and the definition of standard ingredients and/or interchangeable parts. Our research supports that getting this on the product development agenda is a barrier. Mitigating this risk issue requires striking the right balance between global and local governance. There is less variability in the management of regional supply chains. Accountability and priorities are clearer.
Use Channel Data and Build Demand Sensing Capabilities. Reduce demand latency and automate the processes of demand. I work with many companies on the differences between marketing-driven and sales-driven processes and the journey to become market driven. When marketing and sales operate as functions, they are not aligned to more holistic end-to-end processes. This is growing as an enterprise risk.
Focus Where It Matters. Yesterday, I hosted a webinar with David Simchi-Levi of MIT. He has defined a Risk Index which analyzes the Time for Recovery and the Financial Impact (FI) to analyze the risk of the supplier base. It is a great technique to use in supplier development and network design.  For those interested, check out David’s recent article on Harvard Business Review. His work with Ford is profiled in Figure 2. After the analysis of Ford’s supplier base, David offers recommendations and actions that are shown in figures.  However, to use this methodology requires the organization to be proactive. In the Ford example, the greatest risk was with a tier 2 supplier of O-rings that had low spend. David’s methodology is a stark contrast to the conventional work on supplier development and network design. In the conventional approach, companies would look at the suppliers with the greatest spend and miss the impact on the tier 2 suppliers with low spend. David’s point in the webinar is that you have to be focused and deliberate. Ford has 5,000 suppliers. It is not a simple activity. It requires work. However, based on the results of the study, it is worth it.
 
Figure 2.
Chart by David Simchi-Levi
 
The slides from the risk management webinar are now available on SlideShare. Check them out. We will be doing complimentary webinars twice a month in a countdown to the Supply Chain Insights Global Summit. In this event on September 10th-11th, 230 supply chain leaders will gather to focus on the supply chain of the future. With the coalescence of digital manufacturing, new forms of analytics, The Internet of Things, and the collaborative economy, we think that it is time to re-think supply chain practices and imagine what it could be. Today, 45% of the seats are sold. It is limited to 15% technology and consulting attendees. We would love to see you there.
 
 

Search the Archives
Search
Share this Post
Email
Twitter
LinkedIn
Facebook
Pinterest
WhatsApp
Featured Image
Recent Posts

Is your Supply Chain AI Ready?

A simple quiz to assess an organization’s AI readiness.

The pace of change is fast and furious. Every day, technology advances faster than we can digest. A great challenge to have.

Determining whether a supply chain is “AI-ready” is less about technology and more about the gray matter between the ears of supply chain leaders. Leadership, alignment, and clarity of goals matter.

Too few companies are clear on the definition of supply chain excellence. Measuring and rewarding functional metrics reduces the firm’s value. Putting agentics on top of today’s processes can make bad practices run faster, reducing value.

The toughest job for the supply chain leader is challenging existing supply chain paradigms that were defined by the limitations of decades of supply chain technologies. As the curtain lifts on the potential of new forms of technology, process redefinition is our opportunity, but only if we are clear on what drives value. (Here, I link to the Supply Chains to Admire reports to help you define value. The next report will be published on June 23rd, along with my Dynamic Benchmarking Product, to help you define value in the face of your AI readiness. More information about the launch is at the bottom of this blog.)

Read More »

Case Study: A Scrappy Demand Management Approach

This study of Franklin Sports shines a light on the work that needs to be done at the sales account level to challenge a retail forecast, and also highlights the importance of a new technique for a forecast engine — reinforcement learning.

Artificial intelligence comes in many forms — large language models, generative AI, machine learning, unstructured text mining, deep learning, neural networks, reinforcement learning, agents, and agentics. While the industry is wigging out about agentics, I think reinforcement learning is a great step forward in the journey of Artificial Intelligence.

Read More »

Can We Side-Step the AI Spin Cycle?

When it comes to combining tech, 1+1+1 should equal more than 1. The impact should be exponential. Unfortunately, today, the answer is 0.

What do I mean? Let me explain.

I find that the supply chain technology market moves slowly along traditional technology lines. Conferences are usually focused on the use of technology, not on redefining work. This bothers me. I want it to bother you as well.

Here I share some insights to drive change.

Read More »

Supply Chain Health Check: The Power of an Orbit Chart

An orbit chart is a powerful tool for understanding the “health” of a supply chain and its potential for improvement. The supply chain is a complex, non-linear system with limited trade-offs. The relationship between trade-offs varies by industry, region, and size. The orbit chart is a diagnostic we use in the Supply Chains to Admire work. Here I explain the use case.

Read More »

Are You Writing a Check You Cannot Cash?

Don’t let a well-intending, but ill-informed consultant or technologist set an expectation that you cannot meet. No when wins when there is a check written that cannot be cashed. In this case, the consultant will move to the next account leaving you holding the bag. Fight back with a data-driven argument. Help the organization think about inventory more holistically.

Read More »