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Supply Chain Design: A Tool to Help Maximize Value

Logistics Viewpoints

At some companies, these relocations involved moving groups of different sizes from different offices with hundreds of possible destinations. The groups themselves were non-homogeneous with people of different ages and interests. Do we have a demand forecasting tool in place and, if so, how good is that forecast?

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6 Types of Automation [Benefits, Pros/Cons, Examples]

Conger

Examples of automation range from a household thermostat to a large industrial control system, self-driven vehicles, and warehousing robots. Programmable automation is code-based, allowing for excellent precision Programmable automation is most used in systems that produce similar items using the same automated steps and tools.

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7 Cost Saving Tips Every Supply Chain Manager Should Know

3PL Links

Example: Retail giant Zara uses real-time data from its stores to adjust inventory dynamically. This approach requires advanced planning and reliable forecasting tools, but it can transform inventory into a more fluid, cost-effective part of your supply chain.

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Is Your Problem Technical or Adaptive?

The Lean Thinker

I was part of a group that did days in local (to Seattle) ski areas; annual trips to Whistler, BC (my favorite place); Mount Hood and Mount Bachelor in Oregon; and a semi-fateful trip to Red Mountain in Trail, British Columbia in March of 1993. The expansion, examples and explanations are my interpretation. Whose Work Is It?

MRP 195
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The (misplaced) need for speed. Why faster supply chain planning will not get you to your destination.

Logistics Viewpoints

There is limited value to running an outdated process faster, and that value drops considerably when significant portions of the process run outside the enterprise tools. For example, running a batch process that now takes 8 hours instead of 12 does not translate into supply chain agility.

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Editor’s Choice: Machine Learning Will Make Warehouse Managers More Productive

Logistics Viewpoints

That is changing as companies like Lucas introduce machine learning tools to improve planning and decision-making in the DC. These new tools will free time for managers and engineers, making them more productive and their DCs more efficient and effective. This article provides an introduction to machine learning for warehouse managers.

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Boeing: The Turning Point(s)

The Lean Thinker

With the justification aside, they next had us go through exercises calculating net present value and ROI for a hypothetical capital investment in tooling – as though a shop floor supervisor would do this at any point in the course of their job. The structural designs were far more tolerant of production variation, for example.