収益性が高く回復力のある物流ネットワークを設計するには、配送センター、倉庫、生産拠点の配置場所を決定し、最適なネットワーク構成を見つけて、シミュレーションでストレス テストを行う必要があります。このブログ投稿では、簡単な 3 ステップの例を使用して、プロセス全体を説明します。
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Governments have been trying to come up with a solution to climate change and increasing greenhouse gas emissions for years. However, their success has been limited. So, it is time for businesses and individuals to take the reins, and one way to do that is through implementing green practices in supply chain management.
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Mass vaccination is one way to fight against the pandemic. However, in some countries people have minimal access to vaccines. A way to overcome this challenge is to open new mobile clinics. But where? How many? Find out in this case study.
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In today’s dynamic world and highly competitive market, customers expect low-cost, on-time deliveries, and reliable service tailored to their needs. To maintain a high service level and fulfill the demand, companies do capacity planning for their supply chains. In this post, we explore what capacity planning is, and look at examples of how to account for throughput and storage capacity in a supply chain.
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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.
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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Supply chain Greenfield Analysis helps determine where to locate your warehouses and factories for a business case scenario.
Check out this video and see how anyLogistix provides detailed insight for a real business case – selling chocolate bars in Poland.
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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