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Sourcing · Logistics

Assessing a warm arrival: the decision process — one year on

KA
k.adeyemiTL227 May 2024#1

Assessing a warm arrival: the decision process — one year on Writing it up because I had to work it out twice and would rather nobody else did.

An honest uncertainty about Assessing a warm arrival rather than a disguised assertion.

I do not know the answer and I have not been able to find one. What I have is the shape of the question, which may be worth more than my guess at the answer.

42 likes 2.2y
CF
c.falkTL227 May 2024#2

The opening post answers the question as asked. The question underneath it is different.

Delivery to an address where somebody is present is worth more for cold-chain material than any packing decision available to the supplier.

Reporting the observation and leaving the explanation open deliberately.

10 likes 2.2y
ZL
z.laurentTL228 May 2024#3

Peak periods and public holidays affect this more than any other factor and are entirely predictable in advance.

1 like 2.2y
KC
k.chukwuTL228 May 2024#4

Taking Assessing a warm arrival seriously for a moment rather than deflecting: the honest position is that the community has observations and no controlled comparison, and those two things support very different sentences.

0 likes 2.2y
CL
c.lundgrenTL228 May 2024#5

Agreed on Assessing a warm arrival, with one qualification that I think matters. The reasoning holds for the case as described. Change the starting assumption and it does not, and the starting assumption is the part nobody states.

16 likes 2.2y
HE
h.eriksenTL228 May 2024#6
z.laurent, post #3: Peak periods and public holidays affect this more than any other factor and are entirely predictable in advance. Go to post

Post #5 is right about the mechanism and I think understates the practical bit.

Anyone deciding whether a delay is a problem should ask what would change if they waited another week. Usually the answer is nothing.

I have separated what I observed from what I concluded, which does not always happen.

6 likes in reply to #3 2.2y
TP
t.pereiraTL228 May 2024 · edited#7

The most useful logistics record is boring: order date, dispatch date, arrival date, condition on arrival. Four fields, and they answer most questions here.

A qualification I should have led with rather than closed on.

0 likes 2.2y
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n.nybergTL228 May 2024#8

Split shipments reduce single-point risk and increase the number of transits. Which trade is right depends on what you are protecting against.

32 likes 2.2y
TW
t.waldenstrmTL2Member28 May 2024#9
k.chukwu, post #4: Taking Assessing a warm arrival seriously for a moment rather than deflecting: the honest position is that the community has observations and no controlled comparison, and those two things support very different sentences. Go to post

Import restrictions by jurisdiction: what is legal to import for personal use varies enormously by country. Some jurisdictions are quite permissive; others are not. Checking your own country's rules before ordering is prudent.

11 likes in reply to #4 2.2y
EK
ew.kuuselaTL228 May 2024#10
z.laurent, post #3: Peak periods and public holidays affect this more than any other factor and are entirely predictable in advance. Go to post

The question underneath Assessing a warm arrival is usually "how would I tell?" rather than "what is true?", and that one has a method attached to it.

Write down what you would expect to see under each hypothesis before you collect anything. If they predict the same observation, collecting it will not help.

3 likes in reply to #3 2.2y
MS
m.stephanopoulosTL3Regular28 May 2024#11

Practical experience of Assessing a warm arrival, offered as one case with the conditions stated, not as a general finding. Conditions first, because they are what make it interpretable.

2 likes 2.2y
ZI
z.iyerTL228 May 2024#12

Peak periods and public holidays affect this more than any other factor and are entirely predictable in advance.

A weak preference rather than a position.

9 likes 2.2y
RG
r.girardTL228 May 2024#13

Right, and stated more narrowly than I would have dared to state it.

29 likes 2.2y
CS
c.silvaTL228 May 2024#14
k.adeyemi, post #1: Assessing a warm arrival: the decision process — one year on Writing it up because I had to work it out twice and would rather nobody else did. An honest uncertainty about Assessing a warm arrival rather than a disguised assertion. I do not know the answer and I have not been able to find one. What I have is the shape of the question,… Go to post

Coming back to post #12, because the follow-up matters more than the original answer.

Cold packs and temperature control: inclusion of cold packs at despatch is standard. Whether they maintain temperature through transit depends on journey duration and ambient temperature. Long journeys through warm climates put product at risk.

0 likes in reply to #1 2.2y
AZ
a.zamoraTL228 May 2024#15

Filing a mild objection to the consensus on Assessing a warm arrival. Mild because I might be wrong; an objection because nobody has addressed the case that does not fit.

1 like 2.2y
DT
d.tammTL228 May 2024#16

Documentation after arrival: photograph the parcel and its contents on arrival. If something later turns out wrong (damage, loss, wrong item) you have evidence of the condition it arrived in.

That is where I would start, not where I would stop.

5 likes 2.2y
BF
b.fonsecaTL228 May 2024#17

Post #14 answers the question as asked. The question underneath it is different.

The number people quote for Assessing a warm arrival is a central estimate presented without its interval, and the interval is wide enough that the estimate is nearly uninformative on its own.

21 likes 2.2y
AA
a.adebayoTL228 May 2024#18
z.laurent, post #3: Peak periods and public holidays affect this more than any other factor and are entirely predictable in advance. Go to post

Reading this Assessing a warm arrival thread as someone who came in with a fixed view: the third and seventh replies moved me and the confident ones did not.

0 likes in reply to #3 2.2y
RH
revision_historyTL3Wiki editor29 May 2024#19
k.chukwu, post #4: Taking Assessing a warm arrival seriously for a moment rather than deflecting: the honest position is that the community has observations and no controlled comparison, and those two things support very different sentences. Go to post

Document outcomes rather than forecasting them. A forecast in this category reads as reassurance and is not one.

0 likes in reply to #4 2.2y
JI
j.ivaturiTL229 May 2024#20

Post #16 describes the usual case. This is about the unusual one.

Anyone deciding whether a delay is a problem should ask what would change if they waited another week. Usually the answer is nothing.

3 likes 2.2y
OV
o.vogelTL229 May 2024#21

Practical note on Assessing a warm arrival: write down what you expect before you look. The number of times I have found what I went looking for is higher than chance would allow.

1 like 2.2y
MD
m.duarteTL229 May 2024#22
t.pereira, post #7: The most useful logistics record is boring: order date, dispatch date, arrival date, condition on arrival. Four fields, and they answer most questions here. A qualification I should have led with rather than closed on. Go to post

Post #21 is the version of this I will quote in future. One addition.

I disagree with the framing of Assessing a warm arrival above, and I think it is a substantive disagreement rather than a terminological one. Setting out why, so it can be checked.

The reasoning depends on an assumption that is doing a lot of work and is never stated. If the assumption holds, the conclusion follows. I do not think it holds generally.

0 likes in reply to #7 2.2y
RD
r.danquahTL229 May 2024 · edited#23

Answering the question post #21 raises rather than the one it answers.

The same route behaves differently in different months. A single good or bad experience is one sample from a distribution.

The variance between people here is larger than the effect being discussed.

24 likes 2.2y
RV
r.villalobosTL229 May 2024#24

Assessing a warm arrival is one of those subjects where the general answer and the answer for a specific case diverge, and the thread will go in circles until someone says which one is being asked for.

11 likes 2.2y
AB
a.batistaTL229 May 2024#25
ew.kuusela, post #10: The question underneath Assessing a warm arrival is usually "how would I tell?" rather than "what is true?", and that one has a method attached to it. Write down what you would expect to see under each hypothesis before you collect anything. If they predict the same observation, collecting it will not help. Go to post

I had read the opposite somewhere and cannot now find where, which tells me something.

0 likes in reply to #10 2.2y
AN
a.nwosuTL229 May 2024#26
c.lundgren, post #5: Agreed on Assessing a warm arrival, with one qualification that I think matters. The reasoning holds for the case as described. Change the starting assumption and it does not, and the starting assumption is the part nobody states. Go to post

Photographing the parcel on arrival before opening it takes ten seconds and is the difference between a report and a recollection.

0 likes in reply to #5 2.2y
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bench_notesTL4 Moderator29 May 2024#27

Everything in post #26 holds. The case it does not cover is the one I have.

Adding the boring version of Assessing a warm arrival, because the interesting version keeps getting posted and the boring one is usually right.

Check the ordinary explanations, in order, and stop when one of them accounts for what you are seeing. Most of the time the second one does.

17 likes 2.2y
KP
k.perrinTL229 May 2024#28

Narrowing post #26, because the general version has more than one answer.

Before the thread moves on from Assessing a warm arrival — what is the sample size behind the claim? I am not being difficult; I have seen the same figure quoted from an n of four and from an n of four hundred.

7 likes 2.2y
RA
r.aldana_pharmdTL429 May 2024#29
AV
a.vukovicTL229 May 2024 · edited#30

The confident answers on Assessing a warm arrival and the well-sourced answers are not the same answers, which is the most useful thing I have learned reading this category.

1 like 2.2y