This blog post explores the growing importance of last-mile delivery optimization and the challenges it presents for modern supply chains. It shows how simulation provides a practical way to test scenarios, perform last-mile delivery route optimization, and design resilient delivery networks. The case study illustrates how anyLogistix helps companies balance efficiency, customer satisfaction, and resilience.
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Food delivery is growing rapidly, but getting meals to customers on time is more challenging than it appears. In this blog post, we’ll show you how smart food routing and the new last-mile optimization experiment in anyLogistix can help solve the food delivery optimization problem. Follow an example to see how to set up, run, and interpret the results of the experiment.
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anyLogistix 3.4.0 is now available! This update introduces the long-awaited Last-Mile Optimization experiment and a brand-new Welcome page. It’s all about enabling realistic, order-level delivery planning and making project navigation easier. Check out the details of the release and update right away.
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Transportation planning in supply chain management is vital for operational efficiency and sustainability. Our blog post delves into the transformative benefits of green supply chain management. It highlights how anyLogistix empowers businesses with innovative tools for optimization and sustainable operations.
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As increased commodity and energy prices are fueling inflation and the geopolitical shift has caused supply disruptions, supply chain managers must plan for volatility and uncertainty. Integrating cost optimization into supply chain operations helps determine the optimal combination of cost, resilience, and quality that best contributes to business growth. From this blog post, learn what supply chain cost optimization is and how to make it work.
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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.
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.
We have added new experiments and optimization features to anyLogistix in response to customer feedback. The 2.9.1 release of anyLogistix also brings three new example models for you to explore, plus a handful of performance and bug fixes. Read on, find out more, and get the updated Studio and free PLE versions.
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