Stop clashing over KPI target setting and achieve better results!

analytics, execution management

Is your organization aiming for the moon but not even capable of setting realistic goals? Goal-setting can be the bane or the boon of your organization. Whether you can set realistic goals and targets for your business can make all the difference between success and failure.

 

After all, it is not just about the demoralization that employees and stakeholders face when the targets are not attained. It also means that you have wasted a lot of resources, time, and effort in chasing a goal that could not have been accomplished in the first place, resulting in the company losing out on achievable results that it could have realized. 

Dr. Andreas Müller
By Dr. Andreas Müller

Building Up Digital Twins for improving Supply Chains

performance gap, innovation, analytics, digitalization, execution management

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. 

Dr. Andreas Müller
By Dr. Andreas Müller

Comparing Deterministic and Probabilistic Approaches for Supply Chain Planning 

The COVID-19 pandemic has been a massive disruptor of supply chain operations worldwide. Every aspect of supply chain planning (SCP), such as demand planning, supply planning, inventory planning and strategy, strategic network design, or sales and operations planning (S&OP), has had its fair share of risks and uncertainties. Companies suffered from sudden surges in raw material prices, delivery delays, and production costs. An EY survey reports that only 2% of the companies were prepared for the disruptions, while 72% faced adverse effects. The pandemic changing the dynamics of supply chain management for the foreseeable future has bought the spotlight on the relevance of proactive supply chain planning and forecasting.

Sagar Kothawade
By Sagar Kothawade

What Is Execution Management Not?

If you ask today's business leaders, you will see that many would have a perfect answer on what to do strategically and how they organize execution. However, beyond the approaches and frameworks, there are many digital platforms to support the execution of strategies, tactical decision-making, and operational excellence. This article will shed some light on the differences and application areas of some of the tools. And, we'll give a definite answer on how to pursue and track improvements on the tactical level.

Dr. Andreas Müller
By Dr. Andreas Müller

The Evolution of Sales and Operations Planning (S&OP) to Integrated Business Planning (IBP) 

supply chain, S&OP

What is Sales and Operations Planning (S&OP)? 

A general understanding of both terms is required to understand the evolution of Sales and Operations Planning (S&OP) to Integrated Business Planning (IBP). In our article Why Do Sales And Operations Planning Projects Fail? we already had a look into the definition of S&OP and the most likely obstacles for a successful implementation. In the following, a short re-cap is given about the definition of S&OP, and in addition, a brief look into the origins and the development of S&OP throughout the decades. 

Tobias Wandesleben
By Tobias Wandesleben

Leveraging AI And ML To Support Decision Making And Execution

AI and ML are the two pillars of the digital revolution, enabling an immense productivity gain, that the corporate world is on the cusp of. Although interchangeably used, it’s important to differentiate: in a nutshell, AI or Artificial Intelligence is the concept of machines to carry out tasks smartly, whereas ML or Machine Learning refers to an application of AI to analyze data, to discover, to recommend, to forecast and to learn from large data sets. The supply chain is one of the primary industrial areas that stand to gain a lot from the successful incorporation and implementation of AI and ML, as showcased in the three use cases for predicting customer behavior, demand forecasting, or avoiding charge-back risks. 

Dr. Andreas Müller
By Dr. Andreas Müller

Case study: supply chain forecasting as a service in consumer goods

supply chain, analytics, VUCA, S&OP

For complex supply chain networks in a VUCA world, expertise in supply chain planning is key to meet demand most efficiently and reliably possible. It is essential for a competitive advantage. Suppose you do not have this expertise in-house. In that case, supply chain planning as a service can be a good alternative by utilizing the expertise of specialized data scientists to increase the quality of your forecasts. 

Dr. Adrian Reisch
By Dr. Adrian Reisch

Case study: inventory management as a service at a global consumer goods manufacturer 

supply chain, performance gap

As supply chains are becoming increasingly more complex, managed services are gaining importance as this allows businesses to profit from expertise in those fields they need it, as they need it. Analytics demands will grow with increasing complexity, and managed services enable a business to focus on their core objectives, scale up and down as necessary while receiving support – ongoing or project-based – as they need it. Today, we're looking at a project in Inventory Management as a Service that we have implemented at one of our customers. 

Dr. Adrian Reisch
By Dr. Adrian Reisch

The Beauty and the Beast: From Analytics to Execution Technology 

analytics, data science, digitalization, execution management

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.

Dr. Andreas Müller
By Dr. Andreas Müller

The superpower for supply chain improvement

The supply chain is a highly volatile system. Therefore, the changes in the field are not just the frequent, temporary ups and downs of the market but also the movement towards a more digitized, dynamic, and customer-centric approach to business. Keeping up with these changes requires the supply chain management mechanism to keep constantly updating itself. Otherwise, some missing components may soon turn the mechanism into a legacy system that will lag.

Dr. Andreas Müller
By Dr. Andreas Müller
Supply Chain Brief