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For example, if I improve the cost structure in transportation, procurement, manufacturing and sales independently, what decision support framework decides the right trade-offs? In today’s architectures and functional metrics, value optimization does not exist. You are right. Or the use of AI to improve supply chain planning.
In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. For example, a cost improvement in one function could raise the costs in another. Error is error, but is it the most important metric? What Drives Value?
The use of orbit charts allowed me to see the patterns of performance at the intersection of metrics over time. We purchase data from Y charts. (A As an aside, I do not think that Lenovo is an example of a supply chain excellence. By charting the performance against peer groups, I could see the story.
Reason #4 Making key decisions by modelling the supply chain in Excel. Reason #9 Relentless pursuit of one supply chain metric at the expense of other metrics. Yet, these are similar instructions as what is passed down to the supply chain from executives focused on a specific supply chain metric.
The award, based on beating the industry peer group on rate of improvement on the key metrics of growth, operating margin, inventory turns, and Return on Invested Capital (ROIC) while outperforming their peer group, is tough to achieve. The orbit chart below illustrates L’Oréal’s performance at the intersection of two metrics.
Supply chain excellence is easier to say than to explain. At each company, there is a relationship between the metrics of growth, margin, inventory, customer service, and asset strategy. For the purpose of this article, I will use Return on Invested Capital (ROIC) as the proxy metric to discuss asset utilization.) The reason?
How Do You Define Excellence? In retrospect, I find that technology is an enabler, but only if we are clear on what defines supply chain excellence. Many believe that an ex-supply chain exec knows the definition of supply chain excellence. The group’s response is, “Are these supply chain metrics?”
The latest ML algorithms can detect subtle shifts in consumer sentiment that precede actual purchasing behavior changes by weeks or even months. ML excels in these scenarios, quickly identifying and adapting to intricate seasonal patterns and trends that traditional statistical methods miss entirely.
Introduction Gardner, (1954) and Huntzinger, (2007) define Purchase price variance (PPV) as a metric used to measure the effectiveness of cost-saving efforts by calculating the difference between the planned cost (standard pricing) allocated for purchasing activities and the actual cost incurred.
Interview for Metrics That Matter. My kitchen table is piled high with interviews for the upcoming book, Metrics That Matter. I recently interviewed him for my upcoming book, Metrics that Matter, that publishes in August 2014. Which metrics do you think matter to supply chain excellence? I am behind.
Initially, the output was published to procurement to design strategic buying strategies. Watermelon Metrics Don’t Drive The Right Results. I love the metaphor of watermelon metrics. The issue is that traditional functional metrics drive underperformance—the greater the variability, the larger the gap.
How aligned do you believe your organization is to drive these metrics? Observations on What It Takes In the Mea Culpa post, I wrote that I used to believe that excellence in S&OP was a ratio of 60/30/10. (60% For example, in the research, I found maturity in Cadbury, DuPont, and Gilette processes.
For example, in my qualitative research studies, I find few can answer the questions of what defines a feasible plan, how to measure inventory effectiveness, or how to tune and refine models. The shifts over the last decade are profound: Is the answer a Supply Chain Center of Excellence? Lack of aligned metrics. Let me explain.
Users are accustomed to building everything in Excel and manipulating the data as needed for their own particular use, typically using static reports or spreadsheets that are siloed in specific departmental needs. A key first step is to have buy-in at the highest level of the organization. Starting at the Top.
While there is work within SAP to rethink SNC and use the assets purchased with Ariba to build multi-tier capabilities, the progress is not encouraging. the company is owned today by 20 organizations representing manufacturers, distributors, hospitals and group purchasing organizations (GPOs). Marketplace Rebirth.
We’ll examine the key components of efficient supply chains, explore essential performance metrics, and uncover the fundamental drivers that influence efficiency. An efficient procurement process optimizes vendor selection and purchasing decisions to maintain cost-effective inventory levels.
The classical approach involves functional silos, sequential decisions, and Excel and people to render a plan executable. Big data is used to understand a customer’s propensity to buy, the tendency to return, conversion of clicks to orders, demand sensing signals, individualized promotions, etc.
Or agreement on the definition of supply chain excellence. As a result, functional excellence anchors action. The focus is on digitization—automating today’s processes—versus rethinking process excellence based on the art of the possible. An orbit chart is a plotting of data at the intersection of two metrics.
It was a story where people believed that functional excellence leads to supply chain superiority. Year after year, well intentioned people toiled against improving metrics that reduced, not improved, the effectiveness of the supply chain. Metrics comparison of Kellogg Co. Don’t get me wrong. You got it! A Case Study.
For the past five years, the team at Supply Chain Insights identified Supply Chains to Admire Award Winners by analyzing performance by peer group on the key metrics of growth, operating margin, inventory turns and Return on Invested Capital (ROIC). Solutions, for example, can take from 12 to 16 weeks to manufacture.
Nick Lynch is the Global Excellence Manager at Shell Lubricants, a division of Shell Global. The Terra Technology implementation is an example of demand sensing while the DDMRP implementation is an example of demand translation of the probability of demand into materials requirements. The reason?
Optimization engines to improve functional metric performance resulted in an exploding number of planners. Let’s take a couple of examples: Retail Available to Promise (ATP). days to receive a purchase order confirmation. The average purchased order changes 3.5 How does this happen? On average, it takes 2.8
When making discretionary purchases, I could look at my projection to make sure that if I made that purchase, I would have enough money in the bank, not only now, but at the end of the month when my mortgage and car loan came out. Then could I buy it? For me, this was game changing! What if I save my money this month?
In this blog, I’ll try to shed more light on it with examples from our work with our customers. Think of the Lego as the ultimate example of a composable toy. Examples of Composability in Supply Chain Planning Platforms. Here are some real-life examples from the trenches to demonstrate what I mean by flexibility and modularity.
Buying supplies, equipment, low preference items and the latest innovations to support high-value care delivery is expensive and while it’s not an area where you want to skimp, there are certainly ways to reduce these expenses without impacting quality of care. The Path to Supply Chain Excellence.
Weve even included some examples of these KPIs using pre-built views for inventory reporting from our Stratum business intelligence solution. Available to Promise (ATP) Available to Promise (ATP) is a real-time inventory management metric that tells you how much of a product you can promise to customers without overcommitting.
Gartner purchased the firm in 2010.) Driving Improvements in Supply Chain Excellence. He felt strongly that supply chain leaders knew how to drive supply chain excellence and needed a forum– or maybe two or three depending on the business model– to help them network and refine their approaches. I disagreed.
In this guide, we’ll unpack the essential functions every ecommerce warehouse must master, along with best practices, real-world examples, and technology tips to help. For example, adding additional warehouse associates during the holidays can have a positive impact on fulfillment speeds. What are warehouse functions?
Let me give you an example: Last week, I gave a presentation at a global supply chain team meeting of 175 professionals. This team is not buying the message. So much so, that three years ago, I founded a research company to focus on understanding supply chain excellence. It was a large multinational company. What do you think?
Organizations then convert those demand forecasts to the associated quantities of raw materials to purchase, goods to be manufactured, or finished products to ship. It is important to benchmark forecast accuracy and similar supply chain metrics against your peers. forecasting product sales at 10,000 stores. This sounds obvious.
While it does an excellent job in streamlining the front-end customer experience from discovery to checkout its true potential is unleashed when combined with CRM tools like Salesforce, HubSpot, Zoho, or Pipedrive. An example of such a scenario is a European fashion retailer experiencing stockouts and unpredictable delivery times.
It is hard work to maintain the status quo in metrics performance. A balanced portfolio of metrics delivers the greatest value. Companies balance supply chain metrics better in good times than bad. Growth in car buying stimulated the value chain. 2) Focus on a balanced portfolio of metrics. Most are treading water.
You’ll note in the headline I use the preposition “of” instead of “to” when describing the “journey of Supply Chain Excellence.” The differentiator is whether Supply Chain Excellence is defined as a one-time project or as on ongoing process. Circuit City failed to adapt and is now history.
The focus is on the role of supply chain finance in driving supply chain excellence. The design of the conference includes tours of several modern warehouses and centers of excellence. Let’s take an example. A simplistic view is that supply chain excellence is the trade-off of cost, inventory and customer service.
Several customers addressed those questions in excellent case study presentations: Dr. Bernhard Herzog, Oxea GmbH – “Business Impact of a Supply Chain Operating Network”. “Vendor Interaction Portal – A practical Example for Business Process Management at BASF,” Ralf Kahre and Patrick Gött, BASF, Elemica reveal 2014.
Here are my predictions for 2018: Supply Chain Excellence as We Know It Is Redefined. Supply chain excellence definitions evolve as companies explore the Art of the Possible. This includes SCOR, APICs, Gartner Top 25 Supply Chains, Gartner Hierachy of Metrics, etc. Examples include Bark Box, Dollar Shave Club, and Blue Apron.
They each lag in their understanding of supply chain excellence, and are now struggling to build effective supply chain teams. On the webinar, when the participants were polled on the reason for rising inventories, over 50% of respondents indicated that it was the lack of an executive understanding of supply chain excellence.
“Reach out to other departments about ways to collaborate on sustainability initiatives, and talk to your executive team to gain buy in.” Translating corporate targets into specific team goals and building them into each function’s performance metrics helps embed sustainability into regular workflows.” The post St.
The network senses, translates, and orchestrates market changes (buy- and sell-side markets) bidirectionally with near real-time data to align sell, deliver, make and sourcing organizations outside-in. An example of a global demand network is IBM iBAT. In 2012 I built on these concepts to define the market-driven value network.
Procter & Gamble and Kimberly Clark); but for most companies that I have worked with, I see that they have purchased and implemented inventory technologies, but there has not been an impact on future years results in either Days of Inventory or Days of Working Capital. Ownership of Inventory as a Metric. What I Think it Means.
Demand latency is two-eight weeks delayed from consumption purchase to translate to an order. Organizations can align to drive value despite the allegiance to functional metrics. I kept pressuring this client to use their channel data locked into the Excel files in their sales account teams. Mistake #3. My challenge? Measure it.
Q: You mention that Executive Buy-in is the biggest stumbling block. What techniques are being used to get executive buy-in? Q: What is the best metric to begin analyzing when starting to evaluate Supply Chain agility? Can you give a few examples of tools that are available today? Tips on Executing Agility Well.
She works with supply chain leaders to take teams to higher levels of excellence and is an influencer with more than 340,000 followers on LinkedIn. How often do your purchase orders change? For example, if your supplier is on wafer-thin margins, it may be bulk purchasing in order to reduce costs, leaving it with excess stock.
Examples of the notifications include leadership mandates for inventory reduction and pending union strikes. The choices that must be made by the end of each round (where each round represents one month of play) include how much of each finished good to produce and how much of each raw materials to purchase at the various manufacturing sites.
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