Kwaliteitsborging met AI in de autoproductie van BMW Group

Een wereldspeler in de farma wenste het Quality Control-proces voor de klinische productie verregaand te digitaliseren.

Vereiste van de klant

Een toonaangevend globaal farmaceuticabedrijf vroeg ons om strategische logistieke capaciteiten te ontwikkelen voor een snelle en flexibele klinische Supply Chain met diepvriesbewaring, verpakking, labeling en distributie. 

De klinische ontwikkeling in de vroege fase vereist snelle en flexibele capaciteiten voor de Supply Chain, zoals de verbetering van de capaciteiten voor de diepvriesbewaring, verpakking, etikettering en distributie van geneesmiddelen. 

Deze probleemstelling werd aangepakt met een benchmarking en optimalisatie van vriesprocessen, zoals oplossingen voor het invriezen/ontdooien, pick & pack en de monitoring van de verzending. De krappe tijdlijn voor de leveringen, de uiterst volatiele VUCA-omgeving en de globale Supply Chain met een mix van interne en uitbestede expertise stellen tal van uitdagingen. Vandaar dat Moore werd gevraagd om het Supply Chain-team van de klant bij te staan.

In an era where supply chains are becoming increasingly complex, dynamic, and interconnected, the significance of a control tower has risen as a pivotal element in orchestrating the intricate flows of data and products.  A control tower represents the nerve centre of a modern supply chain, providing real-time visibility, data-driven insights, and collaborative capabilities. However, while the concept promises many operational and financial benefits, many organisations stumble along the path towards successful implementation. In this article, you’ll learn more about the main pitfalls of a set-up and we’ll provide you with insights on how to overcome them.

The adoption of digital technologies has gained momentum in the field of maintenance and asset management in recent years. A 2023 survey conducted by PwC and Mainnovation focuses on five key technologies that are gaining a foothold in the sector. The key technologies are mobile maintenance, predictive maintenance, digital twins, augmented reality and 3D Printing. Comparison of implementation levels show that mobile maintenance is a mature technique, predictive maintenance is emerging but digital twins, augmented reality and 3D printing are still new and not yet ready to be optimally applied in the field.

Supply chain disruptions have, sadly, become a frequent reality. In recent years, events such as the COVID-19 pandemic, supplier bankruptcies, geopolitical conflicts, natural disasters and other unexpected crises have sent disruptions through even the most robust supply chains. 

To survive and thrive in this environment, organisations must be able to not only identify and quantify potential risks but also proactively prepare for disruptions. This article explores the critical components of effective disruption planning, defining the new organisation roles and technologies needed in supply chain operating models today.

The world has experienced a myriad of disruptive events recently, such as high levels of inflation, steep price fluctuations, the COVID-19 pandemic, geopolitical conflicts, and increasing interest rates. These events, coupled with rapidly changing technological advancements and increased attention for environmental, social, and governance (ESG) matters, as well as the difficulties of attracting and retaining skilled talent, pose significant challenges for procurement functions.