Wie wäre es, wenn Sie Anomalien in der Lieferkette automatisch erkennen oder vorhersagen könnten? Wenn Sie also die Chance bekämen, rechtzeitig Korrekturmaßnahmen zu ergreifen und so Umsatz, Margen und Kundenzufriedenheit zu steigern? Die Planung einer Supply Chain kann sehr komplex sein. Von der Planung und Beschaffung über die Fertigung bis
Sie glauben, dass Machine Learning die Rolle von Nachfrageplanern komplett ersetzen kann? Dann lesen Sie diesen Beitrag besser nicht. Wenn Sie jedoch der Ansicht sind, dass maschinelles Lernen den Planungsprozess automatisieren kann, so dass Nachfrageplaner effizienter arbeiten können, dann stimme ich Ihnen voll und ganz zu! Intelligente Automatisierungstechniken sind quasi
만약 나의 주치의가 내 디지털 트윈(Digital Twin)을 만들어 실시간으로 나의 상황을 다양한 센서 데이터 등을 통해 업데이트 받을 수 있다면 어떨까요? 현실세계의 기계나 장비, 사물 등을 컴퓨터 속 가상세계에 구현한 디지털 트윈을 통해 몸 속의 잠재적인 질병에 대한 신호를 미리 받을 수 있을지도 모릅니다. 디지털 트윈이 암 관련 질병을 미리
GAHHHHHHHHH! My screams filled the office hallways on a Sunday afternoon. In agony, I hopped to the ice machine to find relief for my crushed toe. Moments before, while hanging my shiny new patent plaque on the wall, it dropped six feet and landed on my big toe joint. Since
What if you could automatically detect supply chain anomalies as they happen, or even predict them in advance? You'd be able to take timely corrective action and help maximize revenue, margins, customer satisfaction and shareholder value. There's no question: Supply chain planning and execution is complex. From design and sourcing, to
Die industrielle Produktion erstickt gerade, und zwar an Daten. Doch wären sie so wertvoll, wenn man aus ihnen Informationen zöge! Überall kommen sie raus: Aus Anlagen an Fertigungsstraßen, aus Sensoren an Geräten, aus Protokollen von Callcentern oder aus allerlei Wartungsberichten. Ich möchte sagen, dass sämtliche Daten, die permanent erzeugt werden,
I usually create very technical graphs, that just focus on conveying the information in a concise and straightforward manner (no wasted colors, and nothing to distract you from the data). But sometimes, depending on your audience and the purpose of the graph, you might need to create a graph that
When you hear someone refer to an ‘inside baseball’ move, it means they’re playing into the subtleties of the game. Inside baseball requires a high level of awareness, experience, and strategic thought. This typically results in a mix of strategies to get runners on base and manufacture runs rather than
Usted y su compañía lo hacen todos los días: toman decisiones vitales para responder y adaptarse al entorno en el que se mueven. Para hacerlo, desmenuzan y analizan una gran cantidad de información proveniente de todas las áreas de negocio. Actualmente, un número cada vez mayor de organizaciones aplica innovaciones
We have entered the “second machine age.” The first machine age began with the industrial revolution, which was driven primarily by technology innovation. The ability to generate massive amounts of mechanical power made humans more productive. Where the steam engine started the industrial revolution, the second machine age has taken
With all the technology advancements and innovative trends driving Industry 4.0 right now, you might expect geeky topics like the Internet of Things (IoT) or artificial intelligence (AI) to be the hottest topics of discussion among industry leaders. Instead, many leaders are still more focused on workplace culture. And here’s
Todo se basa en una sencilla teoría económica: cuando los precios de los productos aumentan, la gente no está dispuesta a pagarlos y, en consecuencia, la demanda se va a pique; evidentemente, sucede el efecto contrario cuando se reducen. No obstante, el mecanismo que se activa al modificar dicho valor
In August 2017, Britta Gross spoke about General Motors’ perspective on bringing electric vehicles (and their derivatives) to market. Her point of view reaffirmed GM's research on consumer awareness of electric vehicles (only 60 percent) and consumer adoption concerns with this emerging technology. She also revealed the portfolio of cars
Sábado por la tarde. Un aficionado al futbol visita la tienda de conveniencia más cercana para comprar todo lo necesario para disfrutar el partido de su equipo favorito: botanas, comida, bebidas. Recorre los pasillos, pero no encuentra todo lo que quiere. Pregunta al dependiente; éste le responde que algunos de
La medida en que las organizaciones se beneficien de la Inteligencia Artificial, machine learning y la analítica dependerá de sus necesidades y la aplicación que puedan tener para hacerlas más rentables, ágiles y competitivas. La inteligencia artificial (IA) ha estado presente en nuestras vidas más tiempo del que creemos. Está
Remember the military computer Joshua from the 1983 Matthew Broderick movie WarGames? Joshua learned how to “play a game” by competing against other computers, got confused about reality, and nearly started WWIII. As depicted in that movie, Joshua isn’t all that different from Google’s DeepMind, which became a superhuman chess
Connect with SAS before and during IndustryWeek Manufacturing & Technology, a three-day event focusing on the key elements of advanced manufacturing: lean and continuous improvement, leadership, technology integration, talent management and best practices to achieve operational excellence. We look forward to seeing you at Industry Week's Manufacturing & Technology Conference
La fortaleza que tiene la analítica ahora es la revolución de las tecnologías como la inteligencia artificial (IA) y el aprendizaje automático. Esta amalgama de innovaciones le da a las empresas, de todas las industrias, la oportunidad de llevar a cabo las percepciones que obtienen de sus datos a una
If you think machine learning will replace demand planners, then don’t read this post. If you think machine learning will automate and unleash the power of insights allowing demand planners to drive more value and growth, then this article is a must read.
Let’s lay down some fundamentals. In business you want to achieve the highest revenues with the best margins and the lowest costs. More specifically, in manufacturing, you want your products to be the highest quality (relative to specification) when you make the item. And you want it shipped to the
La inteligencia artificial (IA) es un avance tecnológico que sigue creciendo y que se perfila como una metodología para agilizar todo tipo de procesos, ayudando a la recopilación y el reconocimiento de datos y a la predicción de comportamientos hasta convertirse en una solución a necesidades inmediatas. Por eso se
Wherever there is uncertainty there has got to be judgment, and wherever there is judgment there is an opportunity for human fallibility. Donald Redelmeirer, physician-researcher Recently, I read a fascinating book titled The Undoing Project: A Friendship That Changed Our Mind by Michael Lewis (W.W. Norton & Company, 2017). Lewis
For the last two years, I’ve spent time listening to and brainstorming with automakers, their suppliers and other technology companies about how to monetize connected vehicle data. This involves: Data that’s offloaded from a roving vehicle fleet (cars, trains, semi-trucks, farm tractors, you name it!). Data coming from driving-related mobile apps used
Han transcurrido varios años desde que el e-commerce llegó a los sitios web y conquistó el mercado de compras en línea, pero nada de esto fue posible por el marketing, la parte estratégica para vender productos para las personas que desconfiaban del internet, tal vez porque la costumbre controlaba los
Some people might think it's an urban legend that SAS gives its employees free M&M's. Well, I'm here to tell you it's true! Every Wednesday at the Cary headquarters, a bucket of M&M's shows up in each of the break rooms. I'm only half-kidding in my suspicion that this is
I recently read an interesting article about petroleum coke (petcoke). A lot of it is produced in the US, and lately a lot of it is consumed (burned) in India ... contributing to air pollution there. The article mentioned some numbers in the text, but the data was really begging to
In my previous post, I described a new options to control the widths of the caps for Whiskers, Error and Limit bars. This topic could have been titled "Little things go a long way", as such details really make for a good graph. In a similar manner, another detail issue
The SG procedures and GTL statements do a lot of work for us to display the data using the specified statements. This includes setting many details such as arrow heads, line patterns etc, including caps. Often, such details have a fixed design according to what seems reasonable for most use
Künstliche Intelligenz (KI), maschinelles Lernen (ML) und Analytics erleben zurzeit einen wahren Boom. Geht es nach den Anbietern, gelangen Produktionsabteilungen mithilfe von Industrie 4.0 und Digitalisierung in ein neues, goldenes Zeitalter, in dem Maschinen „selbstlernend“ für Qualitätsverbesserungen und Kostenreduktion sorgen. Doch anfänglichem Enthusiasmus und ersten positiven Erkenntnissen folgt meist Ernüchterung,
Information Dashboards were the hot topic a few years ago, but the hype seems to have died down lately. A good dashboard is still a very useful way to summarize, analyze, and share data - so I thought I'd re-visit the topic, and try to improve an old dashboard. Did
