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The theme this year was “Chart Your Course” which Richard Stewart, EVP Americas at Körber Supply Chain pointed out, is all about overcoming supply chain complexities and challenges. Mr. Elliott made two statements early in his presentation that stuck with me. First, supply chains do not operate in isolation.
Steve’s proposal was a Current / Target condition template that includes more than the “blank generic version” but doesn’t focus so much on the cadence and timing: From Steve Medlin’s KataCon presentation. This is true in Steve’s example of an Emergency Department. are an example of this.
Of course, a high stock price enriches those people who already own shares, and makes options and stock grants more valuable, but they didn’t get into that either. ” The result was a 32 hour course that ran two days, then a break, then two days the following week. Elimination of waste: Focus on adding value.
Of course, it can add up to a vast pool of data, so realistically, access to advanced modelling and analytics tools will be essential to get the most value from it. Its worth remembering, for example, that secondary distribution tends to generate higher transportation costs than primary distribution.
Of course that implies that we (our community) is still largely stuck in the same groove we were a decade ago. I dutifully presented my findings to the plant manager and his continuous improvement manager. I think it is time for reflection and an update. That being said, I think the 2013 post has actually aged pretty well.
The transition has taken place so swiftly that some companies may still need to fully grasp the present or future possibilities to exploit distribution performance as a competitive advantage. A good KPI dashboard can show you for example, the difference between planned and actual kilometers for each route.
However, complex process manufacturing presents a much more difficult ATP problem than is typical in discrete industries. By leveraging causal knowledge and data graphs, Causal AI can navigate complex business scenarios, anticipate outcomes, and recommend optimal courses of action. Of course, getting a promise right is vital.
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