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I laugh when business leaders tell me that they are going to replace their current supply chain planning technologies with “AI.” Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. You are right.
In the fast-paced world of modern supply chains, traditional forecasting methods fall short. Probabilistic forecasting is revolutionizing demand forecasting, supply planning, and inventory optimization by significantly improving forecast accuracy and decision-making across distribution networks.
My head is wobbling with announcements, late-night Friday press releases, company name changes, and executive turnover in the supply chain planning market. Logility, a conservative company supply chain planning technology, historically had no debt and cash reserves of more than 80M, is undervalued in this deal. Is it musical chairs?
Today, in supply chain planning, this could not be further from reality. In May 2025, one in seven home-purchase agreements fell through resulting in the cancellation of 56,000 purchase contracts. Supply chain was defined in 1982 as interoperability between source, make and deliver. It is a landgrab of sorts.
Venture capitalists are high on Artificial Intelligence (AI), and over-exuberant professors with shiny new models are jockeying into position to get rich. Most of the business networks were hollowed out by venture capitalists or purchased by opportunists. 80% of the data that surrounds the supply chain is not used.
She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. Solving from a supply side seems to work for many companies I work with. I know that your primary focus is procurement. The distribution models were never tested when implemented.
But between rising costs, complex logistics, and the constant struggle to optimize space and labor, staying ahead can feel like an uphill battle. That’s where warehouse optimization comes in. Here’s what you can expect: A clear definition of warehouse optimization and its core components. Ready to get started?
Strategic sourcing and innovative solutions are often viewed as two distinct procurement tools, but they should not be seen in isolation. Think of them as apples and gearseach essential and effective on its own, yet when combined; they create a formidable mechanism for achieving procurementexcellence.
”) So, I sat across from a stranger on a cold winter night, the only thing that we had in common was our experience in supply chain planning. . And won’t the supply chain follow suit?” The perspective of a manufacturing leader is quite different than that of a business leader in logistics. “ Reflection.
Today, I speak at the North American Manufacturing Association, Manufacturing Leadership Conference, in Nashville on the use of data to improve supply chain resilience. Background The Council of Supply Chain Resilience met for the first time this month. What is supply chain resilience? Think this is possible?
When reviewing strategy decks for supply chain teams, I often see statements like “move from a functional-silo’d focus to a drive a more holistic response.” ” Followed by “How are you organized, and what defines functional excellence? And, how do you tie functional excellence to corporate value?”
The Covid-19 pandemic tested the global supply chain. Like riding a bumpy road, the supply chain leader is riding the ups and downs of changing market conditions facing greater variability day-to-day. Here, based on interviews with supply chain leaders, I share lessons learned. The Failure of Existing Demand Planning Solutions.
Commerce is global and regional at the same time, the world is getting smaller and more interconnected, and Consumer Packaged Goods (CPG) manufacturers operate in this build-anywhere and sell-anywhere market. End-to-end supply chain visibility, planning, and execution support software are critical in agile supply chain performance.
Supply management. Supply chain management. Supply chain planning. I believe demand is a flow based on the combination of products/services/customers and channels, as shown in Table 1. This exceeds the 55% previously reported in the Supply Chain Insights surveys. These are very different views of the supply chain.
At the Supply Chain Global Summit 2018 , Francois discussed the impact of digitalization, Industry 4.0, and L’Oréal’s approach to business that has allowed the company to continuously rank as a Supply Chains to Admire winner for four consecutive years. Read more to understand the details on the Supply Chain Index ,).
Today, supply chain excellence matters more than ever. During the pandemic, the supply chain discussions take new importance. While the supply chain technology market lost its allure at the start of the last decade, it is now cool again. The supply chain career is new. The supply chain career is new.
The basic frame of supply chain planning–functional taxonomies for optimization on a relational database–must be redesigned before supply chain leaders can reap the benefit of deep learning, neural networks, and evolving forms of Artificial Intelligence (AI). ” I don’t think so. I term this our data jail.
The supply network–shipments and production of trading partners–represents over 70% of the environmental impact of supply chain decisions. Networks take three forms–demand, design, and supply. Here I share insights on the sharing of supply data. Here I share insights on the sharing of supply data.
Supply chain excellence is easier to say than to explain. Executive teams strive to drive improvement in supply chain results; yet, sadly, only four percent of public companies succeed. The supply chain is a complex non-linear system. Understanding this relationship requires modeling. (A The reason? A Case Study.
The Introduction of Smokeless Tobacco Products Complicated Philip Morris’s Supply Chain. Dr. Alexandros Skandalakis – the Director Global Manufacturing Capacity, Strategic Assets and Capital Expenditures at Philip Morris Products S.A. This was done at a stock keeping unit level and for the entire manufacturingsupply chain.
During the 1980s, I was on a management team for a large manufacturer. The Company was attempting to gain economies of scale by grouping manufacturing technologies within a common infrastructure to reap the benefits of a co-generation facility, a centralized warehouse, and a talented administrative team.
My definition of a network is the bi-directional information exchange of manufacturing, procurement, quality, and transportation signals across multiple tiers of trading partners in a many-to-many trading partner information exchange with minimal latency. The models were not implemented correctly to use channel data.
Building Supplies. Supply chain shortages abound. The supply chain impact is unprecedented. I volunteered to write a report on supply visibility. We ordered pizza and started working on a visibility maturity model. Over the course of the five months, we iterated on the model over seven sessions. The reason?
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.
Supply chain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. In the automotive sector, manufacturers are simultaneously reducing inventory costs and delivery times.
While consultants know the answers (or believe they do), I believe my goal as a research analyst is to unearth new questions that should be asked (and answered together openly in the supply chain community) to improve value. Optimization engines to improve functional metric performance resulted in an exploding number of planners.
It was funded by 50 large consumer products manufacturing companies (CPG). In the dawn of e-commerce, conservative manufacturers, anteed up $240 million in four months. In the height of the e-commerce craze, the marketplace offerings started with a focus on e-procurement. The stories border on the ridiculous.
While companies talk digital, the projects follow traditional supply-centric paths. Wikipedia Unleashing the Contrarian Here are my thoughts this morning over coffee: Gartner Top 25: Really A Celebration of Supply Chain Leadership? The analysis is biased toward large process-based manufacturers in the Gartner network.
In 2004, I worked with a Midwest North American meatpacker to help define its supply chain strategy. The group needed a clear market signal on consumption patterns and the translation of demand with minimal latency to optimize price, mix, and schedule the factory to manage margin. What do I mean?
Waves of hype pass through supply chain narratives. and digital supply chains. and digital supply chains. A Closer Look at Digital For a decade, I have struggled to get a clear definition on the digital supply chain. While digital marketing is clear, for me, supply chain digital management is not.
As a supply chain leader, he is struggling how to dance in the ring of fire. The ring of fire is corporate politics at the executive level on supply chain performance. Each executive has a different perspective on the definition of supply chain excellence, but they are never discussed and aligned. Let me explain.
Why is there a discontinuous line on the model?” This model reminds me of a snail. In each phase, companies refine the models until they find that the future is discontinuous. The enterprise-centric models, due to the lack of adaptability, cannot shift to use market data. This is not a lift and shift proposition.
The supply chain is knotted. Yesterday, @DamarqueViews asked me a question on twitter: “What do you think are the greatest barriers in the adoption of social technology in the supply chain?” I find the evolution of social technologies, and the promise of social, exciting for the supply chain. It is unruly.
“We live in a world where supply chains, not companies, compete for market dominance. But companies often have diverging incentives and interests from their supply chain partners, so when they independently strive to optimize their individual objectives, the expected result can be compromised. ”.
We have this today in most supply chain planning solutions. The problem with supply chain planning is that it is, by definition, not repetitive work. Additionally, the tight integration of ERP to APS (Advanced Planning) makes the system nervous and throws supply chain results out of balance, increasing the bullwhip impact.
. <Bear with me… > Here I share a nine-step process in an attempt to help companies unravel the process for buyingsupply chain planning software. Let’s face a hard fact: the supply chain planning market is a mess. They center on how to make a good decision in the purchase of supply chain planning solutions.
Two months before COVID made headlines in the US, nobody was forecasting the dramatic downturn in demand. If a recession hits, demand will decrease. How much will demand be impacted? When companies talk about improving their forecasting, they are most often referring to demand forecasting. When will the recession hit?
From harvest to hands, the food & beverage (F&B) industry leaves no room for guesswork, especially without supply chain optimization software. This reality is compelling F&B companies to rethink their strategies and approach to supply chain optimization and demand planning.
The food and beverage industry is a dynamic, ever-evolving sector in which manufacturers are continuously seeking ways to optimize production and reduce costs in the face of shifting consumer demand and preferences. Optimizing production is essential to addressing these challenges.
Today, we published The Supply Chains to Admire for 2023. Nvidia, Northrup Grumman, PACCAR Inc, PCA (Packaging Corporation of America), ResMed, Rockwell Automation, Ross Stores, Taiwan Semiconductor Manufacturing (TSMC) Company, Tempur-Pedic, TJX, Toro, Toyota, West Pharma, United Tractors, and Urban Outfitters. I admit it.
GEON Performance Solutions purchases plastic pellets and add plastic compounders to make products of different strength, resilience, and flexibility. When companies want to digitally transform their supply chain capabilities, moving to an integrated business planning process (IBP) is often at the heart of the transformation.
The consulting team pitches a theme–vision of supply chain best practices, big data analytics, or demand-driven value networks– to the executive team, and a new project is initiated. Question 1: What drives a Successful Implementation of Supply Chain Planning? Supply chain planning is now on its third decade.
by John Westerveld Over the years, working for and with numerous manufacturing companies, I’ve seen many supply chain practices that cost companies money. Reason #3 Not having end-to-end supply chain visibility. Reason #4 Making key decisions by modelling the supply chain in Excel. Spoilage can happen.
I am a big believer in procurement getting involved as early as possible in new product development based on all the market knowledge available. The worst-case scenario is product engineering developing a new product, selecting a supplier and then telling procurement to get on with negotiation. On average a P.O.
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