Introducing our newest supply chain design and analytics software release – anyLogistix 2.12. This version features advanced capabilities for simulating sophisticated transportation policies. Supply chain and logistics specialists, for networks small and large, can better assess shipping options, optimize shipping fleets, and account for custom facility work and shipping times.
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.
Collaboration and agility in supply chain teams are key to gaining a competitive advantage and returning higher profits. This means how quickly and easily you can capture data, model your supply chain, and do analysis to support changes is critical. Get it right and you can rapidly adjust tactics and operations based on informed decision making.
Watch the webinar and see how with SimWell Managing Partner Jon Santavy and Senior Supply Chain Consultant Alex Franco.
anyLogistix 2.11 introduces new features, example models, and a new Advanced Transportation Optimization experiment. All editions of anyLogistix, including the free Personal Learning Edition, are updated to 2.11.
To get the latest version, ‘Check for Updates’ in the anyLogistix help menu or install from the download. Read on for highlights from the update.
Learn how ITC Infotech developed a tool to inform supply chain decision making by taking live data and combining it with simulation modeling to provide insights into the sources of potential problems and predictions of future supply chain behavior.
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The world of supply chain has shifted from making decisions based primarily on cost to decisions based on a more complete formula that includes cost, service, and risk. This formula reflects real-world complexity and helps you make better data-driven decisions in business.
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When almost 25% of the world’s population is ordered to stay at home how can global supply chains mitigate the associated risks? Can anyone, or any company, be prepared for a global pandemic like the COVID-19 Coronavirus outbreak?
In a now eerily prescient exchange last September, Micah Zenko asked a vice president for risk at a Fortune 100 company in Washington, D.C "What are you most worried about?" The reply came without hesitation "A highly contagious virus that begins somewhere in China and spreads rapidly."
For more than 30 years, consumer goods giant has been establishing its presence in South East Asia, shipping products to most remote areas and expanding its supply chain network across the region. Expansion, however, came with its challenges: for Indonesia, how could the corporation cost-effectively produce, distribute and market their goods in a country with 15,000 islands that occupies a space nearly 15 times the size of England?
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Decision making in complex trade-off situations is difficult. For supply chains, what-if analysis with anyLogistix helps.
This video demonstrates how simulation-based what-if scenarios help supply chain decision making. Using the example of a South Korean smartphone and tablet manufacturer, we learn how simulating different scenarios can identify an optimum balance of production, profit, and service levels.
