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.
The 2.10 and 2.10.1 releases of anyLogistix introduce new features, example models, and an upgraded CPLEX optimizer. They bring the latest from the development team and reflect market demands. Overall, they extend anyLogistix’s functionality and ease-of-use, to help you with supply chain design, experimentation, and analysis. Read on and find out what’s new in anyLogistix.
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The anyLogistix paper Supply Chain Digital Twins defines the technology, provides examples of the problems they can solve, and outlines how to develop and integrate them into a business environment.
Dive deeper into these technologies and see how you can improve your supply chain with them. Read on and download the free paper.
Shipment scheduling in anyLogistix helps you meet customer demand by making the best use of your delivery channels and distribution centers. With the free anyLogistix PLE, you can follow the video example and see how to optimally schedule shipments.
Check out the video and see how optimal shipment scheduling is conducted with the network optimization experiment in anyLogistix.
