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Jul 12, 2023 608 likes •683 views

The allocation zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA 18* International Symposium on Milltary Operational Research d tanker alrcran to meet a slated requirement E w n Ellen. FUM. Spam BLE SVSTEMS W m n for

SLIDE 1 18* International Symposium on Milltary Operational Research The allocation zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA d tanker alrcran to meet a slated requirement E w n

Ellen. FUM. Spam

BLE SVSTEMS W m n Background

WO* mmpreted

for zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA me FUTURE STRATEGIC TANKER AIRCRAFT (FSTA) bid team zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA

.BA€ SYSTEMS part d Tanker (LTranspon SBMCB CO Lld (wnh b i n & Sen0 and Spactrum Capitel)

U x S r E E m

What is this presentation about?

Pmvide a description d zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA

me tanWnQ pmblem. * Expkln why this problem U dinerent from omem.

Examine mm0 technlques

that were mnsldered to solve problem. * Descllbe zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA me 801Ulion memodologl. .Pmvlde e m " e of results.

SLIDE 2

SLIDE 3 What do we know?

Refuelling

wents (20 days zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA d operations)

day zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA
Ume zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA

window (six 4 hour ktewds each day)

0quence (order maintained

at Low Level Entry Point (LLEP))

locaUO" (0.0. towll"0)
fuel dellvemd [out and back)
DuraUon

01 each I@? (e.g. Ume to b p Imm towline to UEP. etc.) d climb, tmm TOC to AAR towllne. The situation

Why is this problem different?

R e l e m m

tound m 'standard problems'

MulUple depot VBhlcIe scheduling problems
Length
f Pam mnstmlned

problems

Crew 8chedUling lor m a s zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA

t m l t pmblem +emplane end aircrew scheduling pmblem S c h d bw mu+Jnp zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA and c&eduling

methDdolDOytound In lltemture Sequencing (bus muting)

Time WIMOWS
Dlmmlshing reulurc~

(luel)

Need to find our own SOiuuon methdology

SLIDE 4 Llnear prcgmmmg Non-linear pmgrammina Altechnquea zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA I zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA I I I I Slmulabon 1 zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA J 1 J 1 Sortie Time Sequencing Torvline Overall WndOrn, changes I X zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA J I X J J x X J I J x

Simulation - stochastic

*Randomly all~cate mtuellinp bme wlmin time Wlndw .Delemine haw many mtuelllnp alrcran muld bo required zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA *U88 zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA Mnte Call0 Bppmach 10 repeat .Problem HOW do we know lhal me answer Is m e best poa?llble?

Simulation - deterministic

.Algorimmic grouping of refuelling events Info sorties

~lgorimmic

alhxation 01 soties lo tsnker

Problems adso when It become

n m w r y lo move refuelling evenu

SLIDE 5

zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA

Interactive spreadsheet *Bails waa a ample zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA sprsadshmt CBlwlator Umr enters zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA data *Integrated ermr checking .Automated cBIcuIaUon o l minimum number zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA 01 dmran

lnteractlve spreadsheet - input

I.. ..... I , . I I I : I : : : : : : : j

I zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA l = y = F =

;

,.....,

1 - 1

I ..I I., ...... ...I 3.0. >a.. .,.I ........

.... " ' I

SLIDE 6 Example zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA

improved

....... zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA

1 I

,...

~ zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA r" ~ , , ""'

...... zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA

I + I

;+*: zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA

l . . . . , ,

i /...... 1

s zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA

y = = ! r /

...... I.. ... ,... ,... ,

...., ......

...

.,, -......, I I Clearer display

Conclusions

* Heunstic wpmach to Rnd number 01 aimran minimum *Uncertainty 01 global minimum. relies on experience .Time savmg. gmd amparlaon Mm hand Calcuiaflons