DTIC ADA461468: A Software Environment for the Design of Organizational Structures

16 Pages·0.22 MB·English

by  Defense Technical Information Center

A Software Environment for the Design of Organizational Structures *
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yigro e.GkMuhcveL
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Krishna R. itapittaP
gniree ns imlg eandtc Ensi.ayrt StpfceoeDlE
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,srrotS TC7513-96260
Tel./Fax: [phone]
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sihT repap stneserp a erawtfos tnemnorivne rof evitpada lanoitazinagro ,ngised htiw sucofno
gnizisehtnys tnioJ ksaT ecroF )FTJ( 2C serutcetihcra tcejbus ot lanoitazinagro stniartsnoc,.g.e(
eht ytilibaliava fo secruoser ro/dna ,sMD eht noitubirtsid fo ’sMD ,esitrepxe .).cte ,yltnerruCeht
ngised tnemnorivne sedulcni tfos eraw seludom :rof )1( noissim gniledom ot tcartxe ksat
ycnedneped ;shparg )2( noissim gninnalp ot etacolla secruoser ot ;sksat )3( lacihcrareih
gniretsulc smhtirogla rof gnipuorg secruoser otni rekam-noisiced )MD( ,sedon dna )4(gnidliub
na lanoitazinagr o.yhcrareih nI ,noitidda cisab seludom rof cimanyd noitatpada folanoitazinagro
seigetarts dna serutcurts ni eht ecaf fo gnignahc noissim tnemnorivne ro/dna secruoser eragnieb
.dedda ehT lanoitazinagro ngised tnemnorivne detneserp ni siht repap selbane na tsylanaot
ezisehtnys tsubor lanoitazinagro serutcurts dna etaulave rieht .secnamrofrep ehT erawtfosloot
swolla na tsylana ot esopmoced eht ssecorp fo lanoitazinagro ngised otni a ecneuqes fosegats
dna ezilausiv eht ngised .ssecorp ehT erawtfos osla swolla a resu ot tupni sretemarapdna
stniartsnoc ni a larutan yaw ta suoirav segats fo eht ngised ,ssecorp gnikam ti elbissop otngised
lanoitazinagro serutcurts htiw derised setubirtta ,.g.e( deeps fo ,dnammoc ,daolkrow maet
coordination).
1. noitcudortnI
A gniworg rebmun fo ,smelborp gnignar morf eliga gnirutcafunam smetsys ot tnioj ksatecrof
,snoissim eriuqer a detanidrooc troffe fo a egral puorg fo slaudividni gnillortnoc a yteiravfo
.secruoser nI na niatrecnu noissim tnemnorivne rednu emit ,erusserp eht ytiliba fo na
noitazinagro ot etanidrooc ,noitamrofni ,secruoser snoisiced dna snoitca gnoma sti stnega saha
tnacifingis tceffe no lanoitazinagro .ecnamrofrep ,yltneuqesnoC a reporp ecnalab gnoma
noitamrofni ,noitisiuqca noitangised fo noisiced ,yhcrareih ecruoser ,noitacolla dna noitca
,noitanidrooc ni ,trohs a reporp lanoitazinagro ngised , si lacitirc ot roirepus lanoitazinagro
____________ _________________________________________
-1-89-41000 N,#3970-1-39-410 0s0 tNc#artn orced nhucraes elRav afeNocif fe Ohydtbetropp us sakwr oswihT*
1010-1-00-410 0d0nNa#5640
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1. REPORT DATE 3. DATES COVERED
2000 2. REPORT TYPE 00-00-2000 to 00-00-2000
4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER
A Software Environment for the Design of Organizational Structures
5b. GRANT NUMBER
5c. PROGRAM ELEMENT NUMBER
6. AUTHOR(S) 5d. PROJECT NUMBER
5e. TASK NUMBER
5f. WORK UNIT NUMBER
7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION
University of Connecticut,Department of Electrical and Systems REPORT NUMBER
Engineering,Storrs,CT,06269-3157
9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR’S ACRONYM(S)
11. SPONSOR/MONITOR’S REPORT
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14. ABSTRACT
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a. REPORT b. ABSTRACT c. THIS PAGE 15
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Standard Form 298 (Rev. 8-98)
Prescribed by ANSI Std Z39-18
ecnamrofre pfo . sIn3oCitazinag ro suoi vhecrrPaeser sdaehtarts n,otmaehdt elihw ereht si oneno
yllasrevinu lamitpo lanoitazinagro ngised[( yelraC & ,niL ,]5991[ uorvatsapaP dna Athans 1992],
[Pete te .la ,]8991[ nambieR dna etloN ,]7891 gnaT[ et al. ,)]3991 ereht si a gnortspihsnoitaler
neewteb eht cificeps erutcurts fo a ksat tnemnorivne ,.e.i( )noissim dna eht tnatimocnoclamitpo
lanoitazinagro erutcetihcra eteP[( te .la 1998], [ kuhcveL et al. ,8991 .)]a9991 ,yltneuqesbuSeht
ytiliba fo snoitazinagro ot tibihxe roirepus ecnamrofrep sdneped no eht lautca noissimsretemarap
,.g.e( eht epyt fo ,noissim eht setubirtta fo gnidnopserroc ,sksat ).cte dna no ehtlanoitazinagro
stniartsnoc ,.g.e( eht lanoitarepo secruoser ,elbaliava eht yticapac fo noitacinummoc ,slennahceht
level fo esitrepxe/gniniart fo ,lennosrep .).cte oT ezilitu siht larutcurts ,ycnednepedetairporppa
sledom fo snoissim dna ,snoitaz ignnaigrruotpac eht lautca noissim sretemarap dnalanoitazinagro
, s dttresnotuiia ma rleropubttms rn neooeghfcsitashepd[ kuhcveL et al. ,7991 ,8991 .]a9991 roF
egral snoissim dna ,snoitazinagro siht sdael ot reve gniworg dnamed rof detamotua sloot ottsissa
na tsylana ni gniledom snoissim dna gnitareneg lamitpo lanoitazinagro serutcetihcra[ kuhcveL te
al. .]b9991 ,yllaedI hcus sloot tsum eb yltneiciffus elitasrev ot eldnah a ediw epocs fosnoissim
dna ot ezimitpo lanoitazinagro serutcurts rof tnereffid )denifed-resu( .airetirc nI ,noitiddagnivah
hcus na detamotua ngised tnemnorivne dluow wolla eno ot enimaxe namuh gnikam-noisiceddna
noitanidrooc sessecorp rednu tnereffid ,snoitidnoc ot etareneg wen ecnamrofrep serusaemdna
,sesehtopyh ot mrofrep a evitarapmoc sisylana fo tnereffid ton( ylirassecen )lamitpo
la n,osietrauzticnuargtrsdona .n gliasn eosdist e af nozottt is s enenuahatebtgvorirog
revO eht tsap wef ,sraey eht evitpadA serutcetihcrA rof dnammoC dna lortnoC )2C2A(tcejorp
sah g nniepeoble vaed ydob efgodelw onn iktnerr udcn aeru ttu nfdinoajmm odC nlaortn)o2CC(
dna sah neeb gnitset eht gnitluser seiroeht fo evitpada 2C serutcetihcra hguorht.noitatnemirepxe
ehT evitpadA lanoitazinagrO ngiseD )DOA( si eno fo eht rojam stnenopmoc fo .2C2A neviGa
2C ,melborp eht DOA sesucof no eht evitamron ngised fo lanoitaz isneargurtocurts ybgnidivorp
srewsna ot eerht yek larutcetihcra seussi fo na ,noitazinagro ,.e.i MD-ksat erutcurts ohw“(seod
,)”tahw a noisiceD rekaM tessa-)MD( erutcurts ohw“( slortnoc ,)”tahw dna nalanoitazinagro
erutcurts ohw“( stroper ot .)”mohw nehW gniledom a xelpmoc noissim dna gningisedeht
gnidnopserroc ,noitazinagro eht yteirav fo noissim snoisnemid ,.g.e( ,lanoitcnuf,lacihpargoeg
,)niarret rehtegot htiw eht deriuqer htped fo ledom ,ytiralunarg enimreted eht ytixelpmoc foeht
ngised .ssecorp ruO noissim gniledom dna DOA ygolodohtem wolla eno ot emocrevoeht
lanoitatup myotcixelpmoc yb gnizisehtnys na lanoitazina gerroutcurts aiv na evitareti noitulosfo
a ecneuqes fo rellams dna denifed-llew noitazimitpo smelborp[ kuhcveL et al . .]7991 ehTDOA
ygolodohte ms idetnemelpm ini l annaoit anzgiinsa egedr rotanwetmfnoosrivn eot tsissa a resuni
gnitneserper xelpmoc snoissim dna gnizisehtnys eht .snoitazinagro ehT tnenopmoc erutcurtsfo
ruo erawtfos tnemnorivne swolla na tsylana ot xim dna hctam tnereffid noitazimitposmhtirogla
ta tnereffid segats fo eht ngised .ssecorp ruO noissim gniledom dna a esahp-eerhtevitareti
lanoitazinagro ngised ,ssecorp tsrif desoporp ni[ kuhcveL et al. ]7991 dna retal decnahneni
[ kuhcveL et al. de t ennreiu sg.yei1lrF lp ,ae,]cr8 i9sh9ip1arg
ph1ase ph2ase ph3ase
Dependency ksaT ksaT Allocation -Resource DM Allocation -Resource Organizational Hierarchy
Graph
MissionModeling
Organization
Task -R ecruose D M -R ecruose D M -D M
assignment assignment Command
Hierarchy
sseco rnPgis elDanoitazinag reOsahp -e 3 h.eT1rugiF
:smelbo rnpo -isb tsu na ese gze cs fiireoatosmuhrhc eigT p pnsdtie1-iepFe3tvorslhiotds
esahP.I es aghnPilude hcS
nI siht ,esahp na lamitpo task-resource allocation si .dehsilbatse tI si denifed ni smret foa
ksat-ot-mroftalp tnemngissa .xirtam ehT evitcejbo noitcnuf noissim( noitelpmoc emit ro a
denibmoc evitcejbo noitcnuf delbmessa morf laudividni noissim sevitcejbo hcus sa eht
noitelpmoc ,emit ,ycarucca ,daolkrow dednepxe ,secruoser lanretxe ,noitanidrooc ).cte si
deziminim tcejbus ot ,tnemngissa ecruoser ,ytilibaliava mroftalp yticolev dna detaler-hparghcus(
s aecn .e)sdnteonciie tardarpnztaisnnoorchcnys
Phase II. es aghnPirets ulC
nI sih t,esahp na lamitpo ecruoser-MD noitacolla si .denimreted tI si derrefer ot samroftalp-MD
tnemngissa .xirtam ehT evitcejbo noitcnuf dethgiew( mus fo eht mumixam lanretni dnalanretxe
sdaolkrow ro a deni bemvoictc enjob iodtectncuufrtsn omcor flaudiv indonii ssseivmitcejbohcus
sa eht rebmun fo ,srekam-noisiced rieht ,esitrepxe elbaliava smroftalp dna rieht tnediser
, s)e . ct cdrctteu enez.osjeis s ibmmtoedunintrnsgnia iiads mrasMtoaDslnkorcow
Phase III. esa hnPoitazimit plOarutcur tS
nI siht ,esahp na lamitpo lanoitazinagro yhcrareih si .dnuof tI si detneserper ni eht mrof foa
detcerid eert htiw detcerid scra g nginyiftircoepppsus- d.estnrooiptpaulser ehT evitcejbonoitcnuf
lamixam( yhcrareih daolkrow decudni yb tcerid )eno-ot-eno( noitanidrooc dna tceridni
noitanidrooc ro a denibmoc evitcejbo noitcnuf denaelg morf eht deifitnedi noissimsevitcejbo
hcus sa eht rebmun fo noitacinummoc sknil elbaliava rof hcae ,MD htped folanoitazinagro
,yhcrareih noitamrofni ,wolf ).cte si deziminim tcejbus ot eht detaler-hparg noitamrofni(ssecca
.d sny)tahencriruaatrrcteusirnhtosc
neoniitlae-tsnpaOahdPA nI esac fo na tessa ro a noisiced edon ,eruliaf eht noitacilppa foa
dnuob-dna-hcnarb dohtem ot eht mroftalp-ksat-MD ecnereferp-noitacolla xirtam setarenegeht
st netehx mtetn(nsgeibssa wen ecruoser- knsoaittacollaygetarts .) sihT do hsteedmivorp akciuq
d ntanei chicfrfaees rnoof i.tsantopiatdpa oehT cginm iaslntuynddueohcccs arof enils-engonahc
tuohtiw gnivah ot yletelpmoc evloser eht .melborp fI eht ylwen deniatbo ecruoser-ksat
tnemngissa xirtam setaloiv eht lanoitazinagro ,stniartsnoc sesahP IIa dn III fo eht mhtiroglaera
desu ot etareneg eht wen lanoitazinagroerutcurts . nI siht ,esac esahPII si detelpmoc nina
yranoituloveedom mroftalp( sretsulc era deniatbo yb gnipuorger eht dlo mroftalp ,spuorgrehtar
naht gnitareneg yleritne wen seno morf .)hctarcs ,yllaniF fi eht ssecorp fo gnitareneg aelbisaef
e,rs ul nltieo acahitnuftssorsuitimt smaezbinagro detroba ees([ kuhcveL et al. . )]s8 l9ri9oa1fted
ehT tser fo eht repap si dezinagro sa .swollof noitceS 2 stneserp na weivrevo fo ehterawtfos
.tnemnorivne noitceS 3 swohs eht liated fo hcae erawtfos eludom yb gniylppa ruoesahp-eerht
lanoitazinagro ngised erudecorp ot a elpmis noissim .elpmaxe noitceS 4 sedulcnoc htiw a
y.rsan mo dmienusrasnuettuxfe
2. wtenievm rne feornovragOiwivtsnfeEoDS
2.1 nsgeilspeiDcnirP
,tn. ese m ewdn e leogrep d rne r ig iniiweayc nrugvnewbnniugin grtiIwoseeihfroehstopldtesldof
1. e le t br rn.syiay e isutx wlnde n mieothrrbfotsl tf geo oierf2otideseeCSahohsmvemtiirmdg
2. ehT erawtfos tsum ediug na tsylana ot ebircsed eht noissim ni a larutan yaw os tahteht
tgsn yin l dafa nnc onnia l a oatee edig sh.dndesdr taoairsneetmviiadhaoumntdrquper
3. ehT erutcurts fo eht erawtfos tsum eb raludom htiw denifed-llew secafretni os taht a-itlum
yranilpicsid maet fo mhtirogla dna erawtfos srepoleved nac ngised dna tnemelpmi eht
.n oetirnta eawhlnnttaoifimpdowimrsnooicomc
2.2 weeriuvtrceuvrOtS
ehT llarevo erutcurts fo erawtfos ,tnemnorivne sa yltnerruc ,detnemelpmi si nwohs ni erugiF.2
ruO gniledom dna ngised tnemnorivne sedulcni eht gniwollof 7 yek lanoitazinagrostnenopmoc
erug:i)F2(
(1) ecruoseR/tneosistApircseD ;
(2) MD eru;trceulritfSorP
(3) Mission Modeling;
(4) ;seru seacenMa/mariorferteiPrC
(5) ;enlouidteahrceSneG
(6) Resource Allocation; dn a
(7) .no iythccurratrsenioHC
ehT tsrif e esrthntenopm oecra derrefer ot sa g nsitlneednoompm odcna eh tgniniame rerademret
.s te ns needonh e.ioTeybwtprlio amafrlezoecehicisbtmreibdtpo
2.2.1 Modeling Components
ehT tsrif eerht stnenopmoc fo ruo ngised tnemnorivne ( ecruoseR/tessA ,noitpircseD MD
Structure Profiler, dna Mission Modeling ) era desived ot tsissa na tsylana ni gnipolevneodissim
sledom fo( suoirav )ytixelpmoc dna lanoitazinagro .stniartsnoc esehT evres sa stupni otruo
design process.
Software Environment
1 Database Definition Internal Software Interface
CapabilityDefinitionResourceCapabilityDefinitionResource Description Description Asset Asset 2 Profiler ProfilerDM DM DifferTernants laDtaiotna of DifferTernants laDtaiotna of Structures Structures
3 Mission Modeling
Algorithm Testing
Task
Mission Task Task
Mission Dependency Task
DecompositionDecomposition Dependency Graph Graph Parameters Parameters Organizational Other Other
Organizational
DesigAnl gorithms
DesigAnl gorithms
Optimization Components
4
Performance
Criteria / Measure Performance DynamiSci mulation
Criteria / Measure
1 esahP 2 esahP 3 esahP decnahnE decnahnE
5 6 7 DDD -III
Task -Asset DM -Asset Organizational DDD -III
Task -Asset DM -Asset Organizational Simulator
Allocation Allocation Allocation Allocation Hierarchy Hierarchy Simulator
Optimization Results
G antt C hart D M -D M
G antt C hart D M -A sset D M -D M
(T ask -A sset D M -A sset Command
(T ask -A sset Assignment Command
Assignment) Assignment Hierarchy
Assignment) Hierarchy
tnemnoriv neErawtf oeS h ftsoecafret ndI nearutcur t .Se2rugiF
ecruoseR/tessA noitpircseD tnenopmoc selbane eht tsylana ot enifed eht ecruoser ytilibapacdna
noitamrofni stnemeriuqer sepyt desu ot eziretcarahc eht lanoitazinagrO .stessA ehT tessaatad
nac eb denaelg morf tcejbus rettam strepxe ro morf a denifed-erp .esabatad MD erutcurtS
reliforP tnenopmoc stel a resu yficeps ngised stniartsnoc hcus sa daolkrow dna esitrepxe
,stniartsnoc dna lanoitazinagro yhcrareih stniartsnoc eht( rebmun fo noitacinummoc sknil
elbaliava rof hcae ,MD htped l af no,o yinhtocairztaiarnmearig ohr,fownoilf .).cte nA tsylananac
dliub a esabatad fo stessa sa llew sa sMD rof ralimis ,snoissim ecnis siht atad yllausu seodton
nymol oiteors nnt fseaotihcxmt ief fn. orieyan prlgayaiitvmsis
Mission Modeling se ttantei nln oiatpcsma yofelczain raoe tte chnatoria shgscni imysbopmtoiced
otni sksat dna gniyficeps a ksat ycnednepedhparg rehtegot htiw rehto tnaveler ksat.sretemarap
A mission noimtairsgoapimdoced si tliub tonte seleraru cpt giecanhruocrmrtaa sreehnitohissim
.sksat tnereffiD noitisopmoced seuqinhcet ,.g.e( lanoitcnuf ,noitisopmoced laog,noitisopmoced
niarret )noitisopmoced yllareneg tluser ni tnereffid sepyt fo sksat gnitneserper eht noissim
,seititne dna yletamitlu dael ot tnereffid lacitylana sledom fo eht .noissim ehT s’rengisedeciohc
fo ra lnuociittirs aoeppumqoicnehdcet dna ledo mytiralunarg tsum eb tnetsisnoc htiw ehtcificeps
lanoitazinagro ngised ssecorp dna sti gnitroppus .smhtirogla yllacipyT a ksat ycnednepedhparg
stneserper eht yaw ni hcihw a rednammoc ro( a gninnalp )llec dluow nalp ot hsilpmoccaeht
, ntociesjsbiu ms o etrl.ebshat/lesisiashvaa
2.2.2 noitazimitpOstnenopmoC
retfA eht ecna mariorferteiPrC /serusaeM tnenopmoc si desu ot enifed evitcejbo snoitcnuf,.e.i(
deeps fo ,dnammoc ,daolkrow )noitanidrooc rof eht ngised ,ssecorp eht tsal eerht stnenopmocfo
ruo erawtfos tnemnorivne ( eludehcS noitareneG , ecruoseR noitacollA , dna yhcrareiH
noitcurtsnoC ) wolla na tsylana ot mrofrep a pets-yb-pets ngised fo eht lanoitazinagro,erutcurts
elihw ,gnitnemelpmi fi ,derised eht denifed-resu ngised snoitacifidom ta suoirav segats foeht
ngised ssecorp ot tsujda eht scirtem fo lanoitazinagro ecnamrofrep ,.g.e( sthgiew noevitcejbo
,noitcnuf daolkrow ,noitubirtsid .).cte esehT ngised noitazimitpo stnenopmoc tneserp a-yb-pets
pets noitazilausiv fo ruo lanoitazinagro ngised .ssecorp ,yllacificepS eht eludehcSnoitareneG
tnenopmoc secudorp eht ecruoser-ksat noitacolla eludehcs taht sdnopserroc ot I-esahP foruo
lanoitazinagro ngised .mhtirogla ehT Resource Allocation tnenopmoc esahP( )II senifedMD
ytilanoitcnuf yb gnipuorg smroftalp dna sedivorp a ecnalab neewteb lanretni dna lanretxe
.noitanidrooc ,yllaniF eht yhcrareiHnoitcurtsnoC tnenopmoc esahP( )III seviredlanoitazinagro
yhcrareih ot eziminim eht daolkrow eud ot tceridni lanretxe noitanidrooc decudni yb eht
yhcrareih.erutcurts
3. lna gnnioosiiettDa azocitinlapgprAO
nI siht ,noitces yb gniylppa ruo lanoitazinagro ngised erudecorp ot a elpmis noissim
dezilanoitarepo ni eht cimanyD detubirtsiD gnikam-noisiceD )III-DDD( mgidarap[ namnielK te
al ,. ,]6991 ew lliw etartsulli eht ytilitu fo ruo erawtfos loot dna edivorp a feirb noitpircsed foeht
l aenr.rasewettlnfuiodsom
3.1 elpm afx onEdoeiis fsaiilMpmiS
A tnioj puorg fo ,yvaN eniraM dna riA ecroF ,stinu sreenigne dna lacidem lennosrepera
dengissa ot etelpmoc a yratilim noissim taht sedulcni gnirutpac a tropaes dna tropria ot wollarof
eht noitcudortni fo no-wollof .secrof erehT era owt elbatius gnidnal sehcaeb detangiseddeR“
”hcaeB ni eht htron dna eulB“ ”hcaeB ni eht ,htuos htiw a daor gnidael morf eht deR hcaeBot
eht ,tropaes dna rehtona daor gnidael morf eht eulB hcaeB ot eht tropria ees( erugiF .)3 erehTsi
a ll almlsih ni e, hhhnttcori ioh gt nwsnaniivi des enlil haehl.tmtaammeeosrccan eg imlolreFtni
,secr utois deh sstiialhbta teshe thcae by ls tirneedrnr uu eclhotrtn ofc o.ym ernaeeN ,eshethcaeb
ymen esah tes pu a edi waera fo a e,ss ehncii mhltwlniewv erru pospi hmgson rieftstoelgc oteht
.sehcaeb emoS MA Stfarcri as-eiltinsasim era dnuof ni htob eht nrehtron dna nrehtuos noigerfo
eht .hcaeb nI ,noitidda ereht si a egdirb detacol ni eht ,tsewhtron hcihw si tnatropmi rofeht
ymene dnuorg secrof ot troppus eht .hcaeb sihT egdirb sdeen ot eb deyortsed erofeb ehtlavirra
fo ymene .secrof ehT evitcejbo si ot ngised na lanoitazinagro ,erutcurts ,.e.i MD-ksaterutcurts
ohw“( seod ,)”tahw a noisiceD rekaM tessa-)MD( erutcurts ohw“( slortnoc ,)”tahw dna na
e .tsy en utloro ecrlhui, h eouwts)ltoxpf“cs”atees( uimnrsormooetthicswtcauzsinagro
3.2 noitazi nsatgersOsA dna MDeliforP
nI eht tsrif trap fo eht ,erawtfos eht ecruoseR ytilibapaC noitinifeD eludom dna ehttessA
noitpircseD eludom elbane na tsylana ot ebircsed ro( daol morf a )esabatad eht deliated
sr ertoe fmlal rasea t hpdreyteoststsi ucaln . e iisnev sbeoc e iadirahehpusutthTalsoatccisdnmeir
0.0
Mission Task:
Attack patrol 10.0
boats in the North “North”
penetration
Estimated frequency of zone
Mission Task: task object appearence: 20.0
Attack 1 object / min;
uniformly distributed over
Seaport
the geographical area and over 30.0
(Single task object). the time
S?? -316
Task Object appearance:
GSP -237 Mission 40.0
Seaport PORT Task:
Clear 50.0
Offshore
Bridge
Mission Task: Mines
Eliminate Hill 60.0
Estimated
South Road Tanks
number of
Estimated number tuaps tko o 1b0j;ects: “South” 70.0
oufp to 3; task objects: “bReeadc”h udoivnseitrfr oitrbhmuetl eyd penetration zone 80.0
uniformly distributed
geographical
over the geographical
area.
area. “Blue”
90.0
Tapapseka Orbajneccet: GTNK -266 Airport beach SMS -387 Tapapseka Orbajneccet
0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0 100.0
noiss iemlpma xe ehfotoirane c.eS3rugiF
fo hcae ,tessa ,deeps segnar dna rehto .setubirtta ,ylralimiS eht seliforp fo elbaliava sMD lliweb
tupni ni eht MD eliforP .eludom ehT atad rof sMD sedulcni eht esitrepxe ni tnereffidlanoitcnuf
,saera eht timil fo lanretni ,daolkrow eht timil fo lanretxe ,noitanidrooc eht noitacinummoctimil
y et,hiltre uv.ceceltse eW llac eh ttsr itfrap fo eer hantwo ti eeftscso ianasenibsisaeftheaatdtdad
smeti od ton yllausu yrav yltnacifingis morf eno noissim ot rehtona fo a ralimis .epyt nIruo
de i,feil lpspmemadixiseseb eh teyctri ul,oirsboeatrpcaecv eht ylno r erhettoemara pfo na tessasi
eht egareva ,deeps elihw ew taert lla sMD sa .lauqe ehT gniwollof 8 ecruoser
seitilibapac/stne meerraiuqer deledom ni siht elpmis :elpmaxe WAA riA-itnA( ,)erafraWWUSA
enirambuS-itnA( ,)erafraW WSA aeS-itnA( ,)erafraW TLSAG dnuorG( ,)tluassA ERIFgniriF(
,)dauqS MRA ,)yromrA( ENIM eniM( ,)gniraelC SED .)reyortseD( ehT atad rof eht stessadna
eht neercs rof gniretne dna gniyalpsid tessA snoitpircseD era nwohs ni elbaT 1 dna erugiF,4
.ylevitcepser
3.3 g nnioliesdsoiMM
sihT tnenopmoc swolla na tsylana ot ledom a noissim .yllacihcrareih nI ruo erawtfos
,tnemnorivne ereht si on timil no eht rebmun fo slevel desu ot esopmoced a .noissim enOnac
trats htiw a lareneg weiv fo eht noissim dna esopmoced ti otni a tes fo .snoissim-bus esehTnac
eb rehtruf desopmoced otni neve relpmis snoissim dna yllautneve otni laudividni .sksat sihT
lacihcrareih weiv fo snoissim si tnetsisnoc htiw eht stceffE desab snoitarepO gnieb detacovdani
.st ne ehlmtaibroelpGxE
smroftalP rotceV ytilibapaC ecruoseR yticoleV
1 GDD 10 10 1 0 9 5 0 0 0.2
2 GFF 1 4 10 0 4 3 0 0 0.2
3 GC 10 10 1 0 9 2 0 0 0.2
4 GNE 0 0 0 2 0 0 5 0 0.3
5 AFNI 1 0 0 10 2 2 1 0 1.35
6 DS 5 0 0 0 0 0 0 0 0.4
7 1HA 3 4 0 0 6 10 1 0 0.4
8 1SAC 1 3 0 0 10 8 1 0 0.4
9 2SAC 1 3 0 0 10 8 1 0 0.4
10 3SAC 1 3 0 0 10 8 1 0 0.4
11 1FV 6 1 0 0 1 1 0 0 5.4
12 2FV 6 1 0 0 1 1 0 0 5.4
13 3FV 6 1 0 0 1 1 0 0 5.4
14 CMS 0 0 0 0 0 0 10 0 0.2
15 PRAT 0 0 0 0 0 0 0 6 0.5
16 TAS 0 0 0 0 0 0 0 6 0.7
17 FOS 0 0 0 6 6 0 1 10 5.2
18 VAAA( FNI –)1 1 0 0 10 2 2 1 0 1.35
19 VAAA( FNI –)2 1 0 0 10 2 2 1 0 1.35
20 22VM (FNI –)1 1 0 0 10 2 2 1 0 1.35

sretemara ptess A. 1e l b a T noitpircse Dtess A. 4eru g i F
nI eht esac fo ruo elpmis ,noissim ta eht tsompot ,level eht noissim si dedivid otni esneffOdna
.esne fhecDaE fo eseht s i dreeshotp rmouotfcnei dhtroN dna .htuoS nI eht esac fo esneffO nieht
,htroN eht aes senim yam deen ot eb deraelc erofeb gnikcatta dna gnidnal no eht .hcaebnI
g n,inro uietthpitad cdlalih yam y reabss e oclteon r.tn nogeoin hctietaduvnq eailmnemuoc nIeht
e se,n mnenaifis e fevhOht tuy oadSmee no tdna ln o ,eh hc d tadnn eraehba heswotvurtopomfer
ymene dnuorg secrof gnola eht .daor A yrat irleidmnammoc yam tsrif emoc ot hcus a feirbnalp
tuohtiw gniog otni eht sliated fo a cificeps ,ksat hcus sa eht cificeps ssecorp rof gnivomereht
ymene dnuorg .ecrof ,nehT eh yam evig a cificeps ksat ot a MD fo a rewol ,level ohwlliw
eunitnoc ot esopmoced eht cificeps ksat ot neve rellams sksat dna yllanif dliub a nalp-bus fotaht
.ksat nO hcae ,level eht rednammoc yam osla etamitse eht tnuoma fo secruoser taht yameb
dedeen ot etelpmoc eht .ksat nI ,noitidda eht gnissecorp emit rof a ksat lliw eb detamitsedesab
ensoi tefrhoetpx ea de et Mnu p eDgc.u ohie ko,ttssnsry s ooaglllaerittal hpsnbitseowidlmigvE
er u,n. s d tewe eoie erclorert hnsouphueunrtioFr. mstrgiu pt6aa ctioemsxeuFeoebrrcttesd
elpma xee h fteoe rnToiss i .Me6rugiF
erehT si y can egdnnoempae deh t.sksat tahT ,si emos ksat nac trat sylno nehw emo srehto tesfo
sksat evah ne e.bdetelpmoc roF ,elpmaxe eht secrof yam ton eb elba ot dnal no eht hcaebsselnu
eht aes senim e.rdaevomer erofe Beno na cdnefe deh t,hcae beno sdeen ot kcatt ad nlaortnoecht
.hcaeb nI ,lareneg sksat yam evah ecnedecerp erutcurts gnoma ,meht dna emos sksat nacylno
trats nehw yeht eviecer emos evitisop ngis fo lufsseccus noitelpmoc morf rehto .sksat ecnOeht
noissim eert si ,detareneg eht erawtfos lliw trats eht ksaT ycnednepeD hparG eludom tahtsediug
eht tsylana ot yficeps eht seicnedneped gnoma .sksat ,ecniS ni eht noissim eert ,erutcurts aksat
yam niatnoc a eert fo ,sksat-bus eht ksat ycnedneped hparg nac eb tliub no yna fo ehtyhcrareih
.slevel nI ruo ,elpmaxe ecnis ereht era ton ynam yratnemele ,sksat ew lliw etartsulli ehtksat
yhcpna ertdg a n mleeoepht vet teednorlibug.i7F
hpa ryGcnednep ekDs a .Te7rugiF
ehT yratnemele sksat era dengissa tnereffid sroloc ot pleh eht tsylana ni gniyfitnedi .mehtmorF
eht e eerrtutcurt sot eyhctne d,nheppaerdg eht tsylana si dediug morf a daorb epocs ogtniyficeps
laudividni sksat htiw denifed-llew ycnedneped .snoitaler tA yna fo eht evoba ,segats ehttsylana
nac etavitca eht ksaT retemaraP eludom ot tupni eht sretemarap fo a cificeps .ksat esehTedulcni
eht ecruoser ytilibapac ,stnemeriuqer hcihw snaem eht secruoser deriuqer ot etelpmoc siht,ksat
ksat noitacol dna ksat gnissecorp emit dna os .no esehT sretemarap nac eb denifed gnidroccaot
eht yratilim ,nalp ro desab no eht sesnopser morf tcejbus rettam .strepxe nA noitartsulli foksat
sret esm ianrwaoph s neirug i.F8 ,n oni I ttnisady dl naaeans caoeos hoo cptemho tckesdat tayna
stage.
ehT erawtfos stnenopmoc gniyficeps eht lanoitazinagrO stessA dna noissiM edivorp aylhgih
elbixelf snaem ot ledom eht taerg ytisrevid fo nredom 2C .snoissim yehT osla ediug natsylana
ot ebircsed eht noissim ni a larutan yaw os taht eht tsylana nac niag na gnidnatsrednu foeht
noi slseidmom d neadivo redphetri.uaqteard
3.4 e c ealrfaarnwerttefntoInSI
sihT eludom nac eb detaert sa a atad gnissecorp retnec edisni eht erawtfos .tnemnorivne tIsi
dengised ot edivorp a egdirb neewteb a yranilpicsid-itlum maet fo mhtirogla dna erawtfos
srepoleved os taht yeht nac ngised dna tnemelpmi rieht evitcepser stnenopmoc htiwlaminim
.noitanidrooc ,yllacipyT erawtfos sreenigne margorp eht ecafretni-resu stnenopmoc
lanoitazinagrO( ,stessA noissiM ,)gniledoM elihw srehcraeser era gnipoleved ehtnoitazimitpo
.smhtirogla ehT lanretnI erawtfoS ecafretnI eludom sevres sa a rotalsnart neewteb tnereffidatad
.sse rrsdeu re h ttes escecIeu dc errun onaydatarilsafbieaw tgalrvshtnsnnaeoetfaertrroenpstixe