Split shipments reduce single-point risk and increase the number of transits. Which trade is right depends on what you are protecting against.
Packaging that arrived damaged: documenting it properly — a second dataset
Acknowledging rather than arguing. The reasoning holds as far as I can follow it.
Peak periods and public holidays affect this more than any other factor and are entirely predictable in advance.
Taking post #39 at face value and following it one step further.
Anyone deciding whether a delay is a problem should ask what would change if they waited another week. Usually the answer is nothing.
That is the practical version. The rigorous version is longer and says the same thing.
Everything in post #50 holds. The case it does not cover is the one I have.
Document outcomes rather than forecasting them. A forecast in this category reads as reassurance and is not one.
On post #65 — agreed on the reasoning, with one qualification.
Anyone deciding whether a delay is a problem should ask what would change if they waited another week. Usually the answer is nothing.
The right answer here may simply be that it has not been measured.
Everything in post #67 holds. The case it does not cover is the one I have.
Peak periods and public holidays affect this more than any other factor and are entirely predictable in advance.
The interesting part of this is the exception, and I do not understand the exception.
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- Insurance and replacement policies, comparedSourcing › Logistics · 122 replies
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