We’ve said it before: shifting to being a project-based company is crucial to future-proof your business in an increasingly VUCA world. Today, aioneers co-founder Dr. Adrian Reisch speaks with Christian Schumacher of MT Aerospace and dives into how they managed their digital transformation while balancing core business and simultaneously branching out into new fields, enabling innovation with a solid digital infrastructure.
With data becoming the key to any organization's progress, the necessity for improving its quality and consistency, too, has turned imperative. This necessity led to the genesis of Master Data, which encapsulates the core of business information. It includes structural and hierarchical references needed for a specific enterprise and is easily shareable. In the absence of Master Data, one cannot do any business in present times. If excelled at Master Data effectively, companies can see a direct impact on boosted sales, reduced risk management, and improved profitability.
The concept of digital twins has been around for a long time in terms of modeling and simulation. However, the two are vastly different. The digital twin is a living-learning model, as described by Colin Parris, CTO of GE Digital. Thus, it is continuously running and updating itself based on data received from the subject of the twin.
With the rise of the age of data abundance, it is natural for technology like data infrastructure, analytics, and AI platforms that process such data to appear. These new technologies enable to access, transform, and analyze the vast reservoirs of data available to us. However, analyzing and processing data provides us with insights in dashboards and more information involving the worst-case, and such information is useless – unless it can be put to good use.
The main aim of the digitalization of supply chain management is to simplify the management of the complex, interconnected processes of the supply chain. Moreover, for the digitalization of tactical decision-making, a digital model of the decision-making process is necessary. This is because every digital technology runs on rules, algorithms, and frameworks, learned or discovered.
We live in a changing world, where in the future, supply chains will no longer be managed in a linear fashion, as suggested by the SCOR model of Source-Make-Deliver chains. In this article, we present our vision for the future of supply chains and the topics that will determine their competitiveness. The future of supply chains will be characterized by growing business networks and cloud-enabled ecosystems. Companies will be members in multiple ecosystems and may play multiple roles. For instance, an OEM could act as a supplier, an engineering contractor, and a participant in a marketplace he has created with competitors.
Join Dr. Christoph Kilger and Dr. Boris Reuter as they discuss the supply chain performance gap, and where you can start closing it. Most businesses collect large amounts of data, yet supply chain analytics doesn't always translate into concrete measures that are executed. How can you start digital execution management that leads to real results?
This article will analyze the complexity resulting from the coexistence of several different sales channels. It is precisely this complexity that continues to be the cause of supply chain performance issues. As a basis, you can check the previous articles from the 10-part series about the root causes of the supply chain performance gap that started with a summary and headed right to the root causes - product portfolio complexity, speed of innovation, and new types of competition.
The driving force behind blockchain technology is decentralized data linked together like a chain in a network across several computers so that control does not reside with a single entity. When first launched in the implementation of Bitcoin, this revolutionary idea gave rise to a whole set of crypto exchanges, financial solutions, and decentralized platforms. But the scope of blockchain technology is much larger.
Even though it's hard to pin down an exact percentage, research has shown that on average, about half of strategic initiatives fail to be executed successfully. For those conceptualizing strategies, this is, of course, a sobering statistic: this means half the strategic work you're doing is not leading to the desired results. In this article, we'll look at some of the reasons why strategic measures aren't executed, and help you ask the right questions to increase the impact of your strategies.