LensReading which lens this session carries.

Operate · the run state

Every queue, one day, one canvas

This is the operation as it stood at the close of Tue, Jul 21. 36 queues across 12 towers, ranked not by how large they are but by how fast they are changing …

The documents behind it
Day on screen
Tue, Jul 21
Sun, Aug 17365 modeled daysSun, Aug 16
Back to the last modeled day

Health

What the day did to the operation

Arrival against service is the only pair that tells you whether tomorrow is worse than today.

The binding constraint on this day
Order desk in Order-to-Cash — 186,244 items standing and draining by 3,013 a day.

Of the 36 queues on this canvas, this one is ranked first because releasing it frees the most work: it holds 9.7% of everything standing, and it is not growing, so the ranking is driven by the standing depth alone. At the day service rate of 9,777 items, and only if nothing else arrived, what is already standing in it is 19.0 days of work; work does keep arriving, and at the rate it is actually falling it takes 62 days to empty. Its oldest item has been waiting 18.4 d, and 1,061 of the 9,777 items it did serve cleared outside commitment.

The name recorded against most of the work in this queue in the sampled ledger week is Chidi Obi. That is who this constraint belongs to.

186,244
Standing
9.7%
Share of all standing work
6,764
Arrived on the day
9,777
Served on the day
-10%
Against its own normal
18.4 d
Oldest item

Detail on the record

The blockage map

Every queue in the operation, grouped by tower.

All queues at the close of the day

36 queues · 1,910,542 items standing · deepest is 186,244

■ 90%+ inside commitment■ 75 to 90%■ under 75%
S2PSource-to-Pay351,858 standing · 18.4% of the operation
Invoice processing
179,719-2,53113.3 d
Buying desk
130,034-51719.4 d
Supplier operations
42,105-1,9955.6 d
H2RHire-to-Retire265,071 standing · 13.9% of the operation
Payroll operations
159,666-77822.3 d
Time and claims
105,405-1,92512.5 d
Employee lifecycle
0-2140 min
ITSIT Service264,416 standing · 13.8% of the operation
Incident desk
126,155-85226.9 d
Change and access
72,744-1,41416.1 d
Service requests
65,517-416.2 d
M2DMake-to-Deliver251,571 standing · 13.2% of the operation
Move and deliver
129,681-1,7547.1 d
Make and release
121,890-1,89622.0 d
Quality control
000 min
AIOAI Operations203,909 standing · 10.7% of the operation
Model routing
85,817-71814.1 d
Agent run desk
84,517-11019.4 d
Prompt and policy
33,575-33012.9 d
O2COrder-to-Cash193,406 standing · 10.1% of the operation
Order desk
186,244-3,01318.4 d
Billing and credit
7,162-2,91032.8 h
Cash and collections
0-5790 min
C2LConcept-to-Launch149,851 standing · 7.8% of the operation
Artwork studio
73,948-1,12430.6 d
Formulation
61,617-4995.7 d
Launch gates
14,286-5773.4 d
R2RRecord-to-Report103,148 standing · 5.4% of the operation
Postings desk
98,706-34211.4 d
Close management
4,442-46442.3 h
Reconciliation
000 min
P2PPlan-to-Perform47,991 standing · 2.5% of the operation
Sales and operations planning
19,048-7025.3 d
Replenishment
14,935-2373.5 d
Forecast desk
14,008-2748.2 d
A2LAwareness-to-Lead31,894 standing · 1.7% of the operation
Media operations
31,894+1418.9 d
Trade promotion
000 min
Campaign briefing
000 min
D&AData and Analytics31,795 standing · 1.7% of the operation
Metric governance
19,525-3095.7 d
Report certification
12,270-1455.8 d
Data quality
000 min
LGLLegal Operations15,632 standing · 0.8% of the operation
Contract desk
11,086-1,43033.4 h
Matter management
4,546-1855.0 d
Obligation management
000 min

Three numbers follow each bar: items standing at the close, the day net change, and the age of the oldest item in the queue. The bars are an exhaustive map of the operation — all 36 queues appear, and their standing depths sum to the 1,910,542 on the tile above. A queue opens the series with work already in it, so standing depth is not arrivals minus service.

What to pick up

Flow rather than stock

Ranked by how much work releasing the queue would free — standing depth plus five days of the rate at which it is falling behind.

Every queue, ranked by what releasing it frees

1 queue is taking on more than they clear

#QueueTowerArrivedServedNetStandingNormalvs normalDays of workInsideOldest
1Order deskO2C6,7649,777-3,013186,244206,713-10%19.089%18.4 d
2Invoice processingS2P10,41712,948-2,531179,719208,065-14%13.976%13.3 d
3Payroll operationsH2R6,4967,274-778159,666168,311-5%22.088%22.3 d
4Buying deskS2P7,3187,835-517130,034144,267-10%16.677%19.4 d
5Move and deliverM2D6,4818,235-1,754129,681141,491-8%15.782%7.1 d
6Incident deskITS4,7965,648-852126,155137,706-8%22.385%26.9 d
7Make and releaseM2D4,7226,618-1,896121,890131,299-7%18.490%22.0 d
8Time and claimsH2R8,14010,065-1,925105,405113,036-7%10.570%12.5 d
9Postings deskR2R6,0046,346-34298,706105,113-6%15.673%11.4 d
10Model routingAIO3,0413,759-71885,81786,610-1%22.864%14.1 d
11Agent run deskAIO4,5734,683-11084,51793,605-10%18.070%19.4 d
12Artwork studioC2L2,6673,791-1,12473,94883,024-11%19.567%30.6 d
13Change and accessITS4,0635,477-1,41472,74485,401-15%13.390%16.1 d
14Service requestsITS4,0094,050-4165,51766,832-2%16.295%6.2 d
15FormulationC2L3,1053,604-49961,61762,447-1%17.176%5.7 d
16Supplier operationsS2P3,9545,949-1,99542,10553,987-22%7.189%5.6 d
17Prompt and policyAIO2,5712,901-33033,57534,938-4%11.679%12.9 d
18Media operationsA2L1,6411,627+1431,89433,660-5%19.688%18.9 d
19Metric governanceD&A1,3981,707-30919,52523,408-17%11.471%5.7 d
20Sales and operations planningP2P1,2481,950-70219,04822,165-14%9.876%5.3 d
21ReplenishmentP2P1,2501,487-23714,93518,470-19%10.062%3.5 d
22Launch gatesC2L1,4672,044-57714,28618,534-23%7.095%3.4 d
23Forecast deskP2P1,2751,549-27414,00817,096-18%9.080%8.2 d
24Report certificationD&A1,7621,907-14512,27016,974-28%6.468%5.8 d
25Contract deskLGL3,5785,008-1,43011,08622,287-50%2.295%33.4 h
26Billing and creditO2C5,9608,870-2,9107,16213,851-48%0.865%32.8 h
27Matter managementLGL8841,069-1854,5466,673-32%4.389%5.0 d
28Close managementR2R2,2402,704-4644,44211,648-62%1.671%42.3 h
29Trade promotionA2L1,8851,885005,358-100%0.082%0 min
30Obligation managementLGL1,6221,6220047-100%0.063%0 min
31Data qualityD&A2,2902,2900086-100%0.080%0 min
32Cash and collectionsO2C2,4062,985-57901,363-100%0.066%0 min
33Employee lifecycleH2R3,3353,549-2140411-100%0.092%0 min
34Quality controlM2D1,0841,08400147-100%0.083%0 min
35ReconciliationR2R4,8554,855001,490-100%0.080%0 min
36Campaign briefingA2L4,0654,0650035-100%0.071%0 min

"Normal" is the mean standing depth for that same queue over the 27 modeled days before the one on screen, so it is a comparison of a queue with itself rather than with any other queue. "Days of work" divides what is standing by what was served on the day. Both are unavailable at the start of the series, where there are no prior days to average.

Now versus normal

No queue is more than ten percent above its own 27 day mean

Every queue on this day is running at or below its own 27 day mean depth. That is a statement about variation, not about health: 1,910,542 items are still standing and 20.7% of what was served cleared outside commitment.

The commitment on the day
127,837 of 161,217 items served cleared inside commitment — 79.3%.

33,380 items cleared outside their commitment. They are spread across 36 queues, and the deepest single contributor is Billing and credit with 3,083. Commitment here is measured against what was served on the day; items still standing have not yet been judged against it.

900,433
Documents a week
36
Queues on the canvas
365
Days you can travel

Actions

What is waiting on a person

A queue is worth acting on when it is growing, not when it is large.

Operations

What this desk is allowed to start

A surface that only reports is not operable.

Trigger and bound

This page can rank every queue by depth, by growth and against its own prior distribution, and name the one whose release frees the most work.

Live observability

What the record shows right now

Direction of travel on the day on screen, an exhaustive partition of all 36 queues: each queue either grew, drained or held level.

Current distribution

36 queues

Growing2569%
Draining822%
Level38%

Is policy and strategy coming to fruition

Whether the written intent is holding here

79.6% of what was served on the day cleared inside commitment, with 1,636,528 items left standing.

Nothing on the record settles this

The written position is that work is managed by flow rather than by backlog size, and that a commitment is a promise about each item rather than an average.

What this page is, and what it is not

This page animates a modeled series. The 365 days between Sun, Aug 17 and Sun, Aug 16 were generated from a fixed seed for Brightvale, an invented company, and nothing on this canvas is attached to a running queue in any real system. Moving the day changes which generated row is being read. It does not replay anything that happened.

Brightvale Consumer Group is an invented company.

Two conventions matter for reading it. Queues open the series carrying work, so standing depth is not the running total of arrivals minus service, and the two should not be reconciled against each other. And unlike the ledger, none of this is sampled: arrival, service and depth are full population counts, so multiplying them by fifty to match the ledger sample would be wrong in both directions.

The binding constraint is computed, not chosen. It is the queue with the highest standing depth plus five times the rate at which it is falling behind — a deliberate weighting that puts growth ahead of size. A different weighting names a different queue, and the ranking below it changes with the day on screen.