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[Paper 555] Under Multiplication, Fixing a Stage That Is Not the Worst Still Helps

Abstract

A line is judged by finding what holds it back. What this paper shows is that the manner of aggregation depends on the quantity asked for: yield multiplies, and under multiplication a stage that is not the worst still repays repair. No new theorem or law is claimed.

First, multiplication works quietly——stages at $0.99$ leave $\mathbf{0.366032}$ after a hundred of them, and halve after $\mathbf{68.967564}$ (Section 2).

Second, it is near $1/e$ but not equal to it——$\mathbf{0.366032}$ against $0.367879$, differing by $\mathbf{0.001847}$, and demoted under Paper 405 (Section 2).

Third, and this is the core. A stage that is not the worst still repays repair——with one stage at $0.80$, raising an unrelated $0.99$ to $1.00$ gives $\mathbf{1.010101}$ (Section 3).

Fourth, repairing the worst helps far more, though——$\mathbf{1.237500}$, for a ratio of $\mathbf{23.512500}$: large, and finite (Section 3).

Fifth, asking the same line about speed gives a minimum——in Paper 550 that same stage returned exactly $\mathbf{0.0000}$: the difference between $\mathbf{1.010101}$ and nothing (Section 4).

Sixth, the separator is whether a stage’s failure discards the item or caps the rate——discarding gives a product, capping gives a minimum (Section 4).

Keywords: yield, serial process, law of the minimum, process improvement, semiconductor manufacturing.

Scope (what is not claimed)

No new theorem or law is claimed——that yields multiply along a line, and that capacities take a minimum, are standard. No factory improvement is recommended——where to invest is not stated; only what happens when a stage is repaired. Stages are assumed independent——if a defect at one stage causes defects later, the product form fails. Rework and re-entry are excluded——an item once lost is taken as lost. The cost of improvement is not discussed——raising $0.99$ to $0.995$ and raising $0.80$ to $0.99$ must cost very different amounts, and that is not included. Neither “start with the worst” nor “anywhere will do” is asserted——only the ratio of the effects is measured, and an order requires costs. Relation to earlier papers: Paper 292 showed that only the logarithm adds——the $\mathbf{0.605006}$ obtained here from fifty stages at $0.99$ is the same number as the $0.60500607$ obtained there from fifty gains of ten per cent and fifty losses of ten per cent, both being $0.99$ raised to the fiftieth; the same arithmetic serves the averaging of returns there and the allocation of improvement here. Paper 550 showed that a line’s capacity is its minimum stage and that widening helps either fully or not at all——this paper is its counterpart: for one line, changing the quantity asked changes the aggregation from a minimum to a product, and the effect of repairing a non-binding stage from $\mathbf{0.0000}$ to $\mathbf{1.010101}$. Paper 405 showed that a numerical coincidence is evidence of a common root only when there is a bijection——applied here to the nearness of $\mathbf{0.366032}$ to $1/e$. Paper 300 showed that sharing a root is decidable——“the aggregation is a product” and “the effect never reaches zero” are separate roots. What is added is inverting for the halving length of $\mathbf{68.967564}$, checking the nearness to $1/e$ both for closeness and for inequality, measuring the non-binding effect as $\mathbf{1.010101}$, measuring the ratio of effects as $\mathbf{23.512500}$, and placing the separator on discarding against capping.

1. Notation and the Question

Setting: $n$ stages in series, with a fraction $y_i$ passing stage $i$ as good, and nothing lost ever returning. The overall yield is

$$Y=\prod_{i=1}^{n}y_i$$

Observation 1.1 this is not a minimum. The capacity treated in Paper 550 was $\min_i c_i$——one line is being looked at, and the manner of aggregation differs.

Observation 1.2 multiplication is inconspicuous. With every stage at $0.99$, every stage looks nearly perfect——the overall yield falls with no bad stage anywhere.

Question: which stage repays repair, and by how much?

2. Multiplication Works Quietly

Computation 2.1: every stage at $0.99$, varying the number of stages.

stagesoverall yield
$10$$0.904382$
$50$$\mathbf{0.605006}$
$100$$\mathbf{0.366032}$
$200$$0.133980$

Observation 2.2 every stage nearly perfect, and a third left after a hundred. $\mathbf{0.366032}$——a poor result with no culprit anywhere.

Observation 2.3 it halves after $\mathbf{68.967564}$ stages. Feeding that number back returns exactly $0.5$, to $10^{-12}$——confirmed by inversion.

Observation 2.4 the $\mathbf{0.605006}$ at fifty stages is the number of Paper 292. There fifty gains of ten per cent and fifty losses of ten per cent gave $0.60500607$——both are $0.99$ raised to the fiftieth. The same arithmetic serves the averaging of returns there and the allocation of improvement here: one number, two questions.

Observation 2.5 it is near $1/e$. $\mathbf{0.366032}$ against $0.367879$, differing by $\mathbf{0.001847}$——close enough to tempt one into writing “a hundred stages leave $1/e$”.

Observation 2.6 but it is not equal. The difference exceeds $10^{-4}$——demoted under Paper 405. The hundredth power of $0.99$ is $e^{-1.005033}$, not $e^{-1}$; the nearness comes from $\ln 0.99$ being near $-0.01$, which is an approximation and not an identity. The check demands both closeness and inequality.

3. Which Stage Repays Repair

Computation 3.1: on a line of stages all at $0.99$, comparing two ways to improve.

improvementoverall yieldratio
none$\mathbf{0.366032}$$1.000000$
one stage to $0.995$$0.367881$$\mathbf{1.005051}$
every stage to $0.995$$0.605770$$\mathbf{1.654964}$

Observation 3.2 repairing one stage barely moves it. $\mathbf{1.005051}$——against $\mathbf{1.654964}$ for all of them, a ratio of gains above a hundredfold. The more stages there are, the worse concentration pays.

Computation 3.3: now a line with a single stage down at $0.80$.

improvementoverall yieldratio
none ($99$ stages at $0.99$ and one at $0.80$)$\mathbf{0.295784}$$1.000000$
raising the $0.80$ to $0.99$$\mathbf{0.366032}$$\mathbf{1.237500}$
raising an unrelated $0.99$ to $1.00$$\mathbf{0.298771}$$\mathbf{1.010101}$
ratio of the gains—$\mathbf{23.512500}$

Observation 3.4 this is the core. Repairing a stage that is not the worst gives $\mathbf{1.010101}$, which is not zero——“that one is not the culprit, so touching it is wasted” does not hold under multiplication.

Observation 3.5 the worst is still far better to repair. The gains stand at $\mathbf{23.512500}$ to one, above $20$ and below $30$——measured, then bracketed; “orders of magnitude” set beforehand would have been wrong.

Observation 3.6 position does not matter. A product does not care about order, so the same improvement placed elsewhere gives the same answer, to $12$ digits——what decides the effect is the original value, not the position.

4. The Separator

Observation 4.1 the separator is whether a stage’s failure discards the item or caps the rate. Discarding gives a product, capping gives a minimum——both are stages in series, aggregated differently.

Observation 4.2 one line, and the aggregation follows the question. Ask how many come out per hour and the answer is a minimum; ask how many of those started come out good and the answer is a product——there is only one line, and two ways to build an answer about it.

Observation 4.3 that is the contrast with Paper 550. There, widening a stage that was not the constraint returned exactly $\mathbf{0.0000}$——here it returns $\mathbf{1.010101}$, which is not zero. A minimum discards whatever it did not select, while a product keeps every stage. The answer to “is touching an unrelated stage wasted?” reverses with the question asked.

Observation 4.4 separate roots under Paper 300. “The aggregation is a product” carries items lost never returning——“the effect never reaches zero” carries each factor entering the result linearly. Allow rework and the first fails, and the product form goes with it.

Observation 4.5 what is not said. Neither “start with the worst” nor “anywhere will do”——only the ratio of effects was measured, and raising $0.99$ to $0.995$ must cost quite differently from raising $0.80$ to $0.99$. An order requires costs.

5. Roll Call and Closing

  1. a hundred stages leave $\mathbf{0.366032}$ (Computation 2.1): each at $0.99$.
  2. halving after $\mathbf{68.967564}$ stages (Observation 2.3): confirmed by inversion.
  3. the $\mathbf{0.605006}$ at fifty is Paper 292’s number (Observation 2.4): a different question.
  4. differing from $1/e$ by $\mathbf{0.001847}$ (Observation 2.5): close.
  5. but not equal (Observation 2.6): demoted under Paper 405; $e^{-1.005033}$.
  6. one stage to $0.995$ gives $\mathbf{1.005051}$ (Computation 3.1): barely moving.
  7. repairing the worst gives $\mathbf{1.237500}$ (Computation 3.3): $0.80$ to $0.99$.
  8. a non-binding stage gives $\mathbf{1.010101}$ (Computation 3.3): the core; not zero.
  9. a ratio of $\mathbf{23.512500}$ (Observation 3.5): measured, then bracketed.
  10. in Paper 550 the same position gives $\mathbf{0.0000}$ (Observation 4.3): the question reverses it.
  11. the separator is discarding against capping (Observation 4.1): product or minimum.

Closing: A line is judged by finding what holds it back. Yield, however, aggregates by multiplication, so the result falls with no culprit anywhere——with every stage at a nearly perfect $0.99$, a hundred of them leave an overall yield of $\mathbf{0.366032}$. It halves after $\mathbf{68.967564}$ stages, a value confirmed by feeding it back to return exactly $0.5$. The hundred-stage figure lies near $1/e$, differing by $\mathbf{0.001847}$, but is not equal to it: the hundredth power of $0.99$ is $e^{-1.005033}$ rather than $e^{-1}$, the nearness coming from $\ln 0.99$ being near $-0.01$. It is demoted under Paper 405, and the check demands both closeness and inequality. The $\mathbf{0.605006}$ at fifty stages is moreover the same number as the $0.60500607$ of Paper 292, where fifty gains and fifty losses of ten per cent were compounded: both are $0.99$ raised to the fiftieth, serving the averaging of returns there and the allocation of improvement here. And under multiplication, a stage that is not the worst still repays repair——on a line with one stage down at $0.80$, raising it to $0.99$ gives $\mathbf{1.237500}$, while raising an unrelated $0.99$ to $1.00$ still gives $\mathbf{1.010101}$, which is not zero. “That one is not the culprit, so touching it is wasted” does not hold here. The worst is still far better to repair, the gains standing at $\mathbf{23.512500}$ to one, above $20$ and below $30$ — measured before being bracketed, since “orders of magnitude” set beforehand would have been wrong. A product does not care about order, so what decides the effect is the original value and not the position. The separator is whether a stage’s failure discards the item or caps the rate——discarding gives a product and capping gives a minimum, both from stages in series. For one and the same line, asking how many come out per hour gives a minimum while asking how many of those started come out good gives a product: one line, two ways to build an answer. That is the contrast with Paper 550, where widening a stage that was not the constraint returned exactly $\mathbf{0.0000}$ against the $\mathbf{1.010101}$ here. A minimum discards whatever it did not select while a product keeps every stage, so the answer to whether touching an unrelated stage is wasted reverses with the question asked. Under Paper 300, “the aggregation is a product” carries items lost never returning while “the effect never reaches zero” carries each factor entering linearly. To be honest——no factory improvement is recommended. Stages were assumed independent, so a defect at one stage causing defects later would break the product form, and rework was excluded with an item once lost taken as lost. The cost of improvement was not discussed, though raising $0.99$ to $0.995$ must cost quite differently from raising $0.80$ to $0.99$. Neither “start with the worst” nor “anywhere will do” is therefore asserted: only the ratio of the effects was measured.

References

  1. Cunningham, J. A. (1990). The Use and Evaluation of Yield Models in Integrated Circuit Manufacturing. IEEE Transactions on Semiconductor Manufacturing.
  2. Hopp, W. J., & Spearman, M. L. (2011). Factory Physics (3rd ed.). Waveland Press.
  3. May, G. S., & Spanos, C. J. (2006). Fundamentals of Semiconductor Manufacturing and Process Control. Wiley.
  4. Nahmias, S., & Olsen, T. L. (2015). Production and Operations Analysis (7th ed.). Waveland Press.
  5. Yamagishi, Y. (2026). Only the Logarithm Adds [Paper 292]. Zenodo. 10.5281/zenodo.22171519
  6. Yamagishi, Y. (2026). The Three Hundredth Census: Whether Two Things Share a Root Is Decidable [Paper 300]. Zenodo. 10.5281/zenodo.22171914
  7. Yamagishi, Y. (2026). A Numerical Coincidence Becomes Evidence of a Common Root Only When There Is a Bijection [Paper 405]. Zenodo. 10.5281/zenodo.22699433
  8. Yamagishi, Y. (2026). Widening Helps Either Fully or Not at All, With Nothing In Between [Paper 550]. Zenodo. 10.5281/zenodo.23014187

Reference

Yamagishi, Y. (2026). Under Multiplication, Fixing a Stage That Is Not the Worst Still Helps [Paper 555]. YOI: https://www.yamagishiyuuki.com/yoi/555
ORCID: 0009-0006-8587-3450

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The record page for this paper (in Japanese, with the PDFs in each language and the date proof): YOI 555. This paper is a preprint and has not been peer reviewed.