Lora's Latest Post

Time for a Mea Culpa?

It is a slow week. Most of my friends are on vacation. I would like to be on vacation with them, but it is not in the cards.
I have taken myself off the road to write the book Metrics That Matter. It is tedious.
Let me just state for the record that “Saying that you are going to write a book, is far more exciting than writing one.” I like to write, but I am 52,000 words into a 90,000 word project, and I am struggling. My mind says write, but my heart says it is spring. I want to garden. I find it easier to write in the winter. For now, I have taped a picture on my desk of the vacation that I want to take in May when the book is finished, and I continue to be head-down … typing away.
Writing the book is helping me to get perspective. Check out Figure 1. For most companies today there is great room for improvement in the supply chain. It is cautious, reactive and traditional. We have designed it to be that way. Companies want a supply chain that is more aligned and agile. But, guess what? We have not designed it to be that way.
Figure 1.  Current State of Supply Chains

Some Stories from the Road

On the 2nd of April, I sat before a board discussing how a company could exceed expectations in the delivery of Return on Invested Capital (ROIC) and superior operating margins and fail at the delivery of customer service and inventory.
On the 9th of April, I went to see a supply chain leader that spoke of how a “tightly integrated” global supply chain was making things worse for him. His demand signal was worse in global markets, especially Brazil. Because he had reduced his buffers—both inventory and manufacturing—and had built a push-based supply chain using a forecasted demand signal, he was failing in many markets.
Last week, I was working with a company that personifies the words cautious and conservative. They have a goal to be agile and aligned; however, their continuous improvement processes are making steady improvement on an efficient supply chain model that is anything but agile or aligned.
As shown in Figure 1, we have built a global, controlled supply chain, but is this want we really want?

Many Ironies.

I see many ironies. There are too many to count. Let me give you a few.

  • Companies say that they want to build the end-to-end supply chain from the customer’s customer to the supplier’s supplier, but the investment is primarily in enterprise systems.
  • Supply Chain leaders will state in one breath that they want to be innovative and try new technologies; however, in the next sentence, they will ask for a statement of a definitive Return on Investment (ROI) for a project. How can you drive innovation if you hamstring yourself to only take a step to try a project with a definitive ROI?
  • New forms of analytics allow us to see demand patterns and translate actual channel demand 10-40X faster, but companies are slow to adopt the techniques.
  • As growth has slowed, and global compliance requirements are increasing. Supply chain matters more, but it is understood less and less.
  • Nine out of ten companies are stuck at the intersection of operating margin and inventory turns, but they do not know what to do about it.
  • Corporate social responsibility and the sustainable supply chain matters. Sixty-five percent of nonrenewable resources lie outside the four walls of the enterprise, but only 21% of companies are actively trying to work with suppliers on the reduction of carbon, water and energy footprints in the extended supply chain.

I Think That the Answer Lies in Leadership.

I encourage all supply chain leaders to have an “oops” day.  What is an “oops” day? It is a day for you to have a mea culpa meeting with your team. It is a meeting where you don’t pretend anymore that everything is wonderful. And, where teams don’t prepare pretty charts to tell you everything is glorious. Instead, you book the biggest conference room in the building and invite a cross-functional team to review what happened in 2013.
Before the session, ask a small group to chart your progress on the Effective Frontier using orbit charts. Figures 2 and 3 are some examples. Note that on the chart of inventory turns versus operating margin, that one division is making progress while the other has not. In parallel, on customer service, one category is making progress while two are not. This is common.
Figure 2. An Orbit Chart of  Performance Comparing Two Divisions within a Company

The issue? The company was doing well on the management of a regional supply chain, but failing in managing products across geographies for a global supply chain. They had not adopted work processes that were more global.
We often find that companies have better performance in the management of regional supply chains where the sources of supply are in the same market versus the management of products across borders. However, when you chart your own progress, you will see your own patterns.
Like most companies that we work with, these lines are not linear. And few show a positive trend. For most companies we work with this is eye-opening. You just do not see the patterns of the interrelationships of metrics in an Excel spreadsheet. And you need to look at the intersections over many years. It is useful to plot these, and then step back and have a dialogue with the greater organization in the meeting.
Figure 3. An Orbit Chart of Customer Service (Case Fill) Versus Inventory Turns

To get ready for your meeting ask each person to write down the number of “oops” moments, or issues, that they felt in 2013.
As part of the meeting, record all of the misses on chart paper and tape them to the wall. (This is why you need a big wall and lots of paper.)
An “oops moment” could be:

  • A product sold more than expected. Your team could not meet the customer service goals.
  • Product quality issues. The team had reliability issues with a new product or a launch that created problems.
  • The product undersold in the market. Your team could not throttle back production fast enough and the company was stuck with product to be written off.
  • Employee turnover was high. There was a shortage of planners resulting in a problem.
  • The issues go on and on…
After putting them on the wall, step back and ask a series of questions:
  • What are the root issues?
  • Where are we failing?
  • What are we doing well?
Then ask the group to work in smaller groups to answer the questions of:
  • What data is available that we could use to be more responsive?
  • Could new forms of analytics help?
  • How could we improve outcomes through better work in horizontal processes? (S&OP, revenue management, corporate social responsibility and supplier development)
Then give the group an innovation fund. Ask them where you should spend your money to drive iterative progress. And then charter a group to get started.
I firmly believe that we need to have more honest moments with our teams. Most companies do not have the answers. When I work with companies, the gap in supply chain performance is larger than I expected. Yet, I see us driving continuous improvement programs to get more efficient at doing what we do today. I do not think that this is the answer. Instead, I think we need new mental models and we need to adopt new ways of thinking.
For example, I think that there is promise in the adoption of new forms of analytics. It is an iterative process. It is not a Big Bang project like ERP. For more on this topic, listen to our podcast miniseries on Analytics available on itunes.
For additional insights on new ways of thinking, tune into our webinar series. We have one more in April and three planned in May. The one next week focuses on the work that we have been doing on the Supply Chain Index with Arizona State University (ASU). We have been partnering with ASU to determine the best method to calculate strength (year-over-year improvement) and resiliency in the orbit charts. We are making progress. This work continues through May with the launch of the Supply Chain Index report. The Index will rate every publicly held company on strength, resiliency and balance for the period of 2000-2012. Company performance will be by industry group.
To learn more on our work on the Supply Chain Index, join via the webinar sign-up on the Supply Chain Insights website.

 

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

Warning: Sidestep the Narrative of the Misguided Goldiggers

Ten years ago, I started writing a book titled Stories of the Misguided Gold Diggers. The book was a collection of stories from two decades of stories of technology leaders perpetuating the myth of integrated end-to-end supply chain planning.

I dusted off the manuscript on Saturday. I think that we have a new chapter. Companies focused on putting Artificial Intelligence (AI) on top of existing architectures are putting AI Stupid on steroids.

Read More »

The Myth of End-to-End Planning

Supply chain planning, supply management, supply chain execution, network design, and transportation/logistics management operate in silos. Not much has changed over four decades. The connections flow back through transactional systems: order-to-cash and procure-to-pay. There is a myth that companies can buy an end-to-end supply chain management solution. This is largely a myth. Here we explain.

Read More »

Lead Time: A Broken Gossamer

If you are struggling with supply chain planning, dancing in the light of shiny objects, and scratching your head, please read on. My goal is to help you.

Please do not AI Stupid. What do I mean? AI Stupid is putting agents and agentics on top of existing architectures believing that making them faster and hands free add value. To me, this is fools play.

I love AI. I am excited about new technologies. To this end, I want to shine a light on how new technologies can help address the black holes and inconsistencies in today’s supply chain, which largely stem from the limitations of the first generation of supply chain planning and execution technologies. In this blog, I give you three places to start.

Read More »

Do You Need a Supply Chain Coach?

Supply chain is where the rubber hits the road. For a public company, over 40% of market capitalization is tied to the trade-offs between growth, operating margin, inventory management, and Return on Capital Employed.

The road for supply chain improvement is fraught with issues. Here we share some and offer some advice.

Read More »

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 »