通过实现可视化取得成功：利用 Minitab 的图形功能来优化库存 Visualizing Success: Leveraging Minitab's Graphical Capabilities for Inventory Optimization
Discover how Minitab's graphical tools can provide valuable insights into inventory patterns, leading to more efficient and effective supply chain.
通过 Minitab 为供应链旺季的成功做好准备 Preparing for Peak Season Success in the Supply Chain with Minitab
The time is now to prepare for peak season! Learn how Minitab's powerful data analysis tools can help ensure peak season success in the supply chain.
对供应商执行（双样本比例）检验，分析延迟交付率 Putting Your Suppliers to the (2-Proportion) Test to Analyze Late Deliveries
Learn how to use a 2-Proportion Test in Minitab Statistical Software to analyze delivery times between two different suppliers.
食品制造业的可持续性和成本节约：消除浪费的 6 种方法 ？| Sustainability and Savings in Food Manufacturing: 6 Ways to Eliminate Waste
50% of all edible food that becomes waste does so during manufacturing, distribution, and retail? Minimize food waste in the manufacturing process:
您知道过程有多强大吗？| Do You Know How Capable Your Processes Are?
Get the information that you need quickly and from as few samples as possible will make a big difference.
3 种用于改进过程的基本精益工具 3 | Essential Lean Tools to Improve Your Process
Lean tools can help you eliminate waste and prevent mistakes. Learn how A3, Work Element Time Study & Gemba Walk can improve your organization's process.
持续改进与质量：有何区别？| Continuous Improvement vs. Quality: What’s the Difference?
Continuous improvement and quality are quite different, and you cannot have one without the other. 要确保研究质量和改进研究过程，质量工具和持续改进工具都不可或缺。质量工具有助于确保研究结果的准确性和有效性，而持续改进工具则有助于优化研究过程，从而以更少的时间和精力获得更好的结果。因此，研究人员应当使用这两种工具来获得高质量的研究成果。 正如您所看到的那样，持续改进和质量大不一样，但不能只取其一。如果您想了解 Minitab 如何帮助您实施持续改进或质量计划，请与我们联系！
通过机器学习和 R 集成减少过程缺陷的 4 个步骤 4 Steps to Reduce Process Defects with Machine Learning and R Integration
We explore how to build a Neural Network in Minitab using R to compliment and compare with results from our own Predictive Analytics module.
未来就在眼前：利用预测分析改进供应链 The Future is Now: Improving the Supply Chain with Predictive Analytics
See how predictive analytics can be used in the supply chain to optimize inventory, route planning, risk management, customer satisfaction and more. 供应链预测分析是利用数据挖掘、机器学习和统计分析来识别供应链数据的模式和趋势，并对未来的业绩和结果进行预测。 供应链预测分析的目标是通过更准确地了解未来的需求、供应和其他可能影响供应链的关键因素来改进决策和战略规划。这使企业能够积极管理和优化其供应链运营、降低成本、提高效率，进而提高客户满意度
价值流图用于降低供应链成本的 8 种方式 8 Ways Value Stream Maps Can Reduce Supply Chain Costs
Learn 8 ways value stream maps can reduce supply chain costs. Discover how Minitab Workspace and Minitab Engage make it easy to create value stream maps. 价值流图是一种功能强大的工具，可用来优化供应链中的材料和信息流。组织可以对从原材料到成品的整个过程进行分析和可视化，从而确定瓶颈、低效和需要改进的领域。 一旦确定了这些问题，组织就可以实施变更，改进其供应链中的材料和信息流 – 这最终会降低成本并提高其利润收益。