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For the past few years, the news has been filled with stories about supplychain disruptions, supplychain fragility, and the need for supplychain resilience. A term once prominent in supply discussions optimization isn’t heard quite as often as it used to be.
Drip BigData. The Connected SupplyChain. Drip Digital SupplyChain. Autonomous SupplyChain Planning. Self-Healing SupplyChains. Touchless SupplyChains. The most efficient supplychain (in terms of lowest cost) is not the most effective.
Supplychains quickly move through fads and buzz words. Today, entangled in digital supplychain discussions is the concept of the digital twin. Today, entangled in digital supplychain discussions is the concept of the digital twin. In our pandemic research, we interviewed thirty manufacturers.
Today, supplychain excellence matters more than ever. During the pandemic, the supplychain discussions take new importance. While the supplychain technology market lost its allure at the start of the last decade, it is now cool again. The supplychain career is new. Reflection.
The supplychain 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 supplychain?” I find the evolution of social technologies, and the promise of social, exciting for the supplychain.
Are industrial manufacturers seizing all the opportunities of a more digital world? A recent article suggests that, by 2018, only 30 percent of manufacturers investing in digital transformation will be able to maximize the outcome. Harnessing BigData. Possibly not. This is concerning. Changing Consumer Expectations.
“We live in a world where supplychains, not companies, compete for market dominance. But companies often have diverging incentives and interests from their supplychain partners, so when they independently strive to optimize their individual objectives, the expected result can be compromised. ”. What Is Value?
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 supplychain visibility, planning, and execution support software are critical in agile supplychain performance.
by CJ Wehlage What would you say is the next great disruption coming to our supplychain world? However, there’s one great disruption already occurring, which has yet to truly “touch” supplychain. Philip Evans shares how today’s consumer is sharing a colossal amount of data to come to a buying decision.
Over the years, supplychain professionals have been trying to improve supplychain efficiency so they can gain an edge over the competitions. Companies seeking to further improve their supplychain efficiency will have to continue fighting their old foe – variability – albeit in a set of new clothes.
Waves of hype pass through supplychain narratives. As an old gal attending multiple conferences (more than I would like at times), I have listened to speakers waft eloquently about the value of concepts like networks, bigdata, industry 4.0, and digital supplychains. and digital supplychains.
Yesterday, I finished a post on supplychain planning maturity. A client had asked me, “How do I know if we have a mature supplychain planning organization?” Excellence in supplychain planning is a cultural shift. Most organizations are better at reacting than planning. Understanding Planning.
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 supplychain community) to improve value. In most supplychain projects we follow, we see an increase in blackholes. Blackhole Automation.
How MES is Shaping the Future of Manufacturing and Boosting Production Efficiency What is a Manufacturing Execution System (MES)? A manufacturing execution system (MES) is a comprehensive, dynamic software system that monitors, tracks, documents, and controls the process of manufacturing goodsfrom raw materials to finished products.
Digital Twin from Infor Nexus Drives SupplyChain Agility. When it comes to driving supplychain agility there are several solutions that are important, but the key solution is a Multi-enterprise SupplyChain Network (MSCN). But even in more normal times, a supply plan usually can’t be fully executed.
Many large enterprises use one form or another of a supplychain application to help manage their supplychains. Supplychain vendors have been touting their investments in artificial intelligence (AI) for the last several years. Artificial intelligence is beginning to be used to update the data.
Today, nine out of ten supplychains are stuck. Despite two decades of advancement in supplychain technologies, companies are struggling to gain balance at the intersection of operating margin, inventory turns and case fulfillment. Market volatility is increasing and supplychains can respond, but they cannot sense.
The basic frame of supplychain planning–functional taxonomies for optimization on a relational database–must be redesigned before supplychain leaders can reap the benefit of deep learning, neural networks, and evolving forms of Artificial Intelligence (AI). I term this our data jail.
She wrote, “I have been working in the supplychain 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. Or planned orders to purchase orders?) I don’t know.
If this challenging past year has taught us one thing, it is the value of connections–not only in our lives, but in supplychains. We saw this right at the start of the pandemic, when parts being manufactured in Wuhan province disrupted car manufacturers’ production lines around the world.
I was talking to a client yesterday about the evolution of technologies for the extended supplychain. I left supplychain and went to Europe for four years, and thought it would change. Today, I want you to imagine what our world could look like if we had an effective extended supplychain. But, guess what?
However, it’s only early February 2024, and we already have several major disruptions impacting supplychains. This is an important time for the supplychain profession. Supplychains are in the news, on governments’ agendas, and in the spotlight. For more information on the research, click here.
Global supplychains are built on three assumptions: rational government policy, availability of transportation resources, and low variability. Supplychain leaders have little history to use as a guide to prepare. Before the pandemic, supplychain leaders experienced relatively free trade across borders in 2017.
Embracing the Future: How Manufacturing 4.0 is Transforming Industry What is Manufacturing 4.0? Also known as the Fourth Industrial Revolution, Manufacturing 4.0 integrates data with smart technology and automation to optimize production, supplychains, and create agility. Manufacturing 1.0:
There are many buzzwords in the supplychain and logistics industry today, and perhaps there’s none bigger than “BigData.” Everybody talks about it, but what does BigData really mean? When it comes to leveraging BigData effectively in your organization, where do you begin? What is BigData?
Companies invested in tight integration of ERP with supplychain planning (APS). We have not been able to build the planning architectures that effectively let manufacturers plan from the customer’s customer to the supplier’s supplier. As shown in figure 1, the gaps in the value chain network are large.
Yesterday, I spoke at the Eye for Transport conference on the BigData opportunity in supplychain. I hate the term BigData. I firmly believe that the SupplyChains in the next decade will look vastly different from those we see today. It is not driven by data volumes. The reason?
The consulting team pitches a theme–vision of supplychain best practices, bigdata analytics, or demand-driven value networks– to the executive team, and a new project is initiated. Question 1: What drives a Successful Implementation of SupplyChain Planning? But, did it add more value?
Industrial IoT and bigdata are converging to enable demand-driven 'smart supplychains.' The advancements in 3D printing and 'Additive Manufacturing,' coupled with supplychain efficiencies, could make distributed manufacturing a reality, ushering in the era of smart manufacturing.
Cooper University Health Care Relies Upon Real-time Alerts to Improve Operations Cooper University Health Care, like most companies, struggled with their supplychain during COVID. The company bought a risk solution that provides real-time alerts to potential supply disruptions. We knew exactly what we couldn’t get.”
The BCG analysts explain, “Today, another workforce transformation is on the horizon as manufacturing experiences a fourth wave of technological advancement: the rise of new digital industrial technologies that are collectively known as Industry 4.0.” So, it’s not a question of if but when AI will become the norm in the manufacturing sector.
Consider a story from Seth Stephens-Davidowitz’s book, Everybody Lies on the topic of bigdata. Manufacturers Thrive on Timely Information. Manufacturers Thrive on Timely Information. Consider just three areas where improved data access boosts operational performance: Improve Supplier Performance.
Consumer packaged goods (CPG) manufacturers and their end-customers constantly engage in a complicated dance that has no choreographed steps. Sometimes CPG manufacturers take the lead and sometimes consumers take the lead. Most business consultants today urge CPG manufacturers and retailers to become consumer-centric and demand-driven.
As a manufacturing leader, you’re faced with constant disruptions, labor shortages, and the threat of job loss — time is of the essence. The time is now to take action and invest in technology to optimize your operations, streamline your workflows, and enhance supplychain efficiency across the board.
China fully shutdown its manufacturing output during this phase affecting consumers globally. Huge demand supply issues breaking the ever-so-fragile supplychain globally. Manufacturing Planning. Business and supplychain leaders need to revisit and restructure their end-to-end supplychains.
Throughout the industrial value chain, artificial intelligence (AI) and machine learning (ML) have been adopted at an accelerating rate. According to a 2021 Google Cloud report , 76% of manufacturers have turned to digital enablers and disruptive technologies such as data analytics, cloud, and AI due to the COVID-19 pandemic.
The manufacturing sector covers such a broad spectrum of products and processes that any discussion about industry trends must take place at a very high level. One of the megatrends that has been driving manufacturing for over a decade is digitization. Manufacturing Trends. And the manufacturing sector overall looks strong.
” The storyline starts with a supplychain story of a shortage–semiconductors, rental cars, plastics–and ends with an easy answer. Nothing about the current state of the supplychain is easy. Supplychain leaders have the ability to drive change like never before. And, voila!
Supplychain leaders are enthralled with the idea of using bigdata, but they tend to fail to understand how to disseminate bigdata in their organization properly. Ask Traditional Questions, and Let BigData Provide Answers. Ask Traditional Questions, and Let BigData Provide Answers.
Most manufacturing companies are working on what a low carbon future means for their business with the urgency to cut global CO2 emissions in half by 2030 and strive for a net-zero by 2050. We know that the manufacturing industry is the engine of economic growth and social impact. The pressure to confront climate change.
Manufacturing isn’t exempt from this pressure. Regardless of what laws politicians enact, customers want their purchasing dollars to go to those who behave responsibly. Some companies, such as Apple, are addressing their supplychain while making public statements on their climate stance. Additive Manufacturing.
The confusion starts when a supplychain leader states the need for improved visibility without a clear definition. Well-seasoned supplychain leaders understand that visibility is a capability not an IT taxonomy. The IT taxonomy for visibility is supplychain analytics. Supplychains are complex.
How can manufacturers manage disruption and improve productivity? By using advanced analytics for manufacturing, to understand the valuable information concealed within the data they already have! Therefore, manufacturers must continually look for new ways to improve the productivity and profitability of their operations.
The amount of information and improvement possible through bigdata can be overwhelming. Unfortunately, this may lead some supplychain managers or executives to simply avoid the topic until a more cohesive understanding of its possibilities can be made. How to Get Started with Your BigData Strategy. .
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