This article introduces the broad field of supply chain analytics and its main approaches, gives an example workflow for end-to-end supply chain analysis, and compares supply chain tool anyLogistix with traditional Excel-based analysis methods.
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anyLogistix 2.13 has been released with major updates that include improved data import and export capabilities and speeded-up performance.
You can download the latest version by clicking ‘Check for Updates’ in the Help menu, or by visiting the Downloads page.
Let’s see what it has to offer!
Predictive analytics is a powerful tool for optimizing supply chains and managing risks. Learn how predictive analytics can help reduce supply chain costs and improve service levels. This blog introduces the broad field of supply chain predictive analytics as well as its connection with simulation and anyLogistix.
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Many businesses turn to Excel spreadsheets when planning for their supply chains. This traditional approach is relatively easy yet has a limited application area when it comes to solving complex business challenges. Beyond this method, the most powerful techniques for supply chain design are analytical optimization and dynamic simulation.
Learn how to choose the right one for your business.
We can already say that 2020 was a difficult year in many spheres of life. In that context, it is no surprise that businesses have begun to think more and more about the importance of supply chain resilience and reliability.
Let us walk through what is needed for supply chain resilience and reliability and show how anyLogistix can help turn theory into reality.
