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The layout re‐arrangement of fashion production lines realizing many small batches is rarely deployed according to well‐known engineering procedures. In fact, it would often appear too complex to call a plant engineer for the proper layout design of such small production lines. Rather, it is preferred to apply empirical methodologies when considering, generally, factory know‐how, general business needs, safety requirements, and so on. In the present work, the results of a fashion manufacturing line re‐layout were compared by analysing the current situation with the solutions provided by a ʺhomemadeʺ company design, both through a systematic layout planning approach and a broader lean reengineering activity. In order to evaluate the effectiveness of each solution, the different alternatives were compared with the help of a discrete event simulator, analysing productivity, transportation times and costs. The result of the case study showed a slight advantage with the lean approach in considering such efficiency indicators. In addition, the lean production methods allowed the designers to identify some inefficiencies that other approaches could not see, since the latter did not focus on production in a holistic way.
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International Journal of Engineering Business Management
Special Issue on Innovations in Fashion Industry
Layout Design for a Low Capacity
Manufacturing Line: A Case Study
Regular Paper
Filippo De Carlo1,*, Maria Antonietta Arleo2, Orlando Borgia1 and Mario Tucci1
1 University of Florence - Department of Industrial Engineering
2 Politecnico di Milano - Department of Management, Economics and Industrial Engineering
* Corresponding author E-mail: filippo.decarlo@unifi.it
Received 1 June 2013; Accepted 15 July 2013
DOI: 10.5772/56883
© 2013 De Carlo et al.; licensee InTech. This is an open access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use,
distribution, and reproduction in any medium, provided the original work is properly cited.
AbstractThelayoutrearrangementoffashionproduction
linesrealizingmanysmallbatchesisrarelydeployed
accordingtowellknownengineeringprocedures.Infact,it
wouldoftenappeartoocomplextocallaplantengineerfor
theproperlayoutdesignofsuchsmallproductionlines.
Rather,itispreferredtoapplyempiricalmethodologies
whenconsidering,generally,factoryknowhow,general
businessneeds,safetyrequirements,andsoon.Inthe
presentwork,theresultsofafashionmanufacturingline
relayoutwerecomparedbyanalysingthecurrentsituation
withthesolutionsprovidedbya ʺhomemadeʺ company
design,boththroughasystematiclayoutplanning
approachandabroaderleanreengineeringactivity.
Inordertoevaluatetheeffectivenessofeachsolution,the
differentalternativeswerecomparedwiththehelpofa
discreteeventsimulator,analysingproductivity,
transportationtimesandcosts.Theresultofthecase
studyshowedaslightadvantagewiththeleanapproach
inconsideringsuchefficiencyindicators.Inaddition,the
leanproductionmethodsallowedthedesignersto
identifysomeinefficienciesthatotherapproachescould
notsee,sincethelatterdidnotfocusonproductionina
holisticway.
KeywordsLayoutDesign,SystematicLayoutPlanning,
LeanProduction

1.Introduction
Oneofthemaingoalsofamanufacturingsystemisthe
maximizationofitsproductivity.Thisdependsupon
severalfactors,suchasthekindandthecomplexityofthe
productmade,thequalityoftherawmaterials,the
complexityofthemanufacturingprocessandthe
arrangementoftheworkstationsconstitutingthe
productionprocess.Someoftheseparametersare
determinedbytheproductand,forthisreason,are
unchangeable;others,however,arevariableandthus
improvable.Thechallengeofdeterminingthebest
arrangementoftheworkstationsisoneoftheelements
thathasagreatimpactonsystemperformance.Itis
knownasthe“facilitylayoutproblem”[1],namelythe
problemofthearrangementofeverythingthatis
requiredfortheproductionprocess.Afacility,infact,is
anyelementthatsimplifiesanactivity’sexecution,such
asamachinetool,aworkcentre,adivision,a
manufacturingunit,andsoon[2].Theliteraturegivesa
Filippo De Carlo, Maria Antonietta Arleo, Orlando Borgia and Mario Tucci:
Layout Design for a Low Capacity Manufacturing Line: A Case Study
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ARTICLE
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Special Issue Innovations in Fashion Industry, 35:2013
lotofdefinitionsofvariouslayoutproblems:oneofthe
firstdatesbackto1957,whenitwasdefinedasan
ordinaryindustrialproblemwiththeaimofminimizing
thecostoftransportingmaterialsbetweenthedifferent
workstations[3][4].Transportation,asamatteroffact,
isthekeyfactorinthefacilitylayoutproblem.Awell
knownstudyofthe1970s[5],infact,hashighlighted
thatfrom20%to50%oftotaloperatingmanufacturing
costsarerelatedtothematerialhandlingactivitiesand
thatthesecostscouldbereducedby10%to30%
annuallywithefficientfacilityplanning.Inadditionto
thedirecttargetofminimizingmaterialhandlingcosts,
effectivefacilitylayoutplanningalsohasindirect
advantages:forexample,itcanhelptodecreasethe
workinprocess(WIP)andthethroughputtimes(TT)
[6],oritcansimplyfacilitatethecontrolofinformation
andmaterialflows[7].
Amorerecentdescription[8]definesthefacilitylayout
problemasanoptimizationproblemthattriestoimprove
layoutefficiency,consideringalltheinteractionsbetween
facilitiesandmaterialhandlingsystemswhiledesigning
layouts.Duringthisoptimizationphase,therearealotof
elementstobeconsidered:safety,flexibilityforfuture
designchanges,noiseandaestheticsareexamplesof
basicqualitativefactorsinthefacilitylayoutplanning
process[5][9].
Theindustrialsignificanceofthefacilitylayoutproblem
isattestedalsotobythenumerousreferencesinthe
literature:sometextsofferanexpositionoftheplant
layoutprinciples[10][11][12]orareviewofallthe
differentapproachestothefacilitylayoutproblem[9]
[13];otherspresentcasestudieswithpossibleoptimal
solutionstotheproblem[14].
Thechoiceofthebestfacilitylayoutconfigurationis
clearlyadecisiontobemadeduringtheearlyplant
designphase,evenifitcouldbemodifiedduringa
redesignphasedue,forexample,toaplantextension.
Accordingtothedifferentpropertiesofamanufacturing
processmainly,theproductivecapacityandthevariety
ofproducts‐theworkstationsshouldbeorganized
appropriately.Itispossibletorefertoaschematic
classification,representedinFigure1[15],thathighlights
thepresenceoffourkindsoflayout.
Fixedposition:thisisusedfortherealizationofvery
bigproducts,suchasships,aircraftsandheavy
machinery[16].
Jobshop:thisistheproductionareaisdividedinto
differentdepartments,eachofwhichisspecialized
inaparticulartechnology[17].
Cellularlayout:thisischaracterizedbycells
(namely,groupsofdifferentworkstations)andused
toproducesimilarproductsoffewdifferent
families.Itissuitablewhentheproductionvolume
doesnotsupportthechoiceofmassproduction[18].
Flowline:thisisusedfortherealizationofone
productinhighquantitythroughaseriesofclosely
connectedworkstations.
TheclassificationofFigure1isonlyaninitialstepin
identifyingthepossiblefacilitylayoutconfigurationsfor
aspecificmanufacturingplan.Thedevelopmentofthe
bestandmoresuitableplantlayoutconfiguration,infact,
isusuallymadewithsomespecifictechniqueinwhich
manyotherparametersareconsidered,suchasthe
relationshipsbetweenthedifferentworkstations,
problemsintheirproximity,etc.
AccordingtoFigure1,theoptimallayoutforthe
productionofafewpartswithhighvarietyisthecellular
layout.The‘grouptechnology’or‘cellularlayout’is
effectivelyproposedforsmallbatchproduction[19].It
givesmanyadvantagesrelatedtoimprovingproductivity
andcostreductions[20].
Figure1.Varietyquantityproductionrelationship.Inthepictureis
shownthebestlayoutforseveralcombinationsofquantityand
variety.Generallyspeaking,ifthelayoutisdifferentfromtheone
proposed,higheropportunitycostsorlowerefficienciesarefaced.
Formanylowvolumebatchproductionlinesas,for
instance,inthefashionindustry‐thechoiceofplant
layouttypeisessentialinordertoensurenotonlyhigh
productivityandcostcontrolbutalsoahighlevelof
flexibility.Thisstronglydependsuponthefacilitylayout:
thepossibilityofchangingtheproductiontypeeasilyand
quickly,infact,isstrictlyrelatedtotheworkstations’
disposition.
Increasedinternationalcompetitionanditsgrowing
economicimportancehavecaused,inrecentyears,a
growingattentiononthepartofresearcherstothe
fashionfield,whereproblemsandsolutionsaremoving
closerandclosertothoseofmorematureindustries.The
topicsdealtwithbyresearcherscomprehendmethodsto
enhancelogisticsinnovationandintegration[21][22],
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toolsinperformingeffectiveperformancemeasurement
[23],properlayoutselection[24],theappraisalofthe
brandequity[25]andsuitableadaptationsofforecasting
techniques[26][27].
Animportantelementtobeconsideredinchoosingthe
properlayoutconfigurationforsmallbatchfashion
productionlinesisthelevelofthesimilarityofthe
productsinthemanufacturingprocesses.Ifanitem
differsalittlefromtheothers(forexample,onlyinterms
ofcolour,size,etc.)andthemanufacturingsequenceof
operationsremainsunchanged,theoptimumlayoutmay
besomewhatdifferentfromtheclassicalcellularlayout.
Inthiscase,itisnecessarytoadoptoneormoreofthe
specificlayoutmodelscurrentlyavailable.
Theaimofthepresentstudyistomakeacomparisonof
thedifferentlayoutdesignmethodsforlowvolumebatch
fashionmanufacturinglines.Inparticular,acasestudy
wasinvestigatedanalysingamanufacturinglineoffelt
hats.Theresultsshowthatthebestapproachtobe
adoptedi.e.,togainanappropriatelayoutarrangement
‐ isthefacilitylayoutcomingfromawider“lean
production”analysisandreengineeringprocess.This
resultwasachievedthroughadiscreteeventssimulation
analysis,whichpermittedustocomparethecostsand
productivityperformanceofeachsolutioninvestigated.
Theremainderofthepresentpaperisorganizedas
follows:insection2theprincipallayoutdesignmethods
arepresented;section3givesthecasestudyanalysisand
thedescriptionofitsmanufacturingprocess;theresultsof
theanalysisareexplainedinsection4,whilethefifth
sectionprovidesadiscussionoftheresultsandpresents
someconclusions.
2.Methods
Todesignorredesignthefacilitylayoutofa
manufacturingprocess,itispossibletoapplymany
differentmethods.Eachoneisbasedonaspecificidea
andgoaltobeachieved.Sinceamethodusuallygivesan
optimallayoutconfigurationdifferentfromtheothers,it
isimportanttohaveaperformancemeasurementtoolin
ordertogainhintsaboutthebestmethodtoadopt.This
comparisoncouldbemadethroughascore,suchasthe
totalclosenessratingindex[28],orasimulationanalysis
highlightingtheresultsofthemainproductionprocess
parameters,suchascosts,times,thethroughputrate,the
WIPorthelineavailability[29][30][31].
Beforeinvestigatingthebestfacilitylayoutdesign
method,wepresentinthissectionsomeoftheirmajor
features,especiallythoseofthesystematiclayout
planning(SLP)technique[32]andthelayoutsuggested
bythewideractivityof“lean”redesign,throughthe
valuestreammappingtool.
2.1SLP
SLP,developedin1973byRichardMurther,isoneofthe
mostfrequentlyusedmethodsinthedesignorredesign
ofafacilitieslayout.
SLPincludesthreespecificphases[32],namely:
Datacollectionandanalysis;
Searchingamongthepossiblelayoutsolutions;
Evaluatingalternativesandthechoiceofthebest
layout.
TheoutputofthefirststepofSLPistherelationshipchart,or
‘buffdiagram’.Itderivesfrominformationsuchastheflow
ofmaterialsbetweenthedifferentworkstations[2],their
adjacencyrequirementsandthecorrespondingreasons.Ina
relationshipchart,wecanseethedifferentoperations ‐on
therightside andaspecificlettercodewithanumber,
correspondingtoeachdepartmentpair.Eachlettercode
representsaspecificclassofadjacency,inparticular:
A:absolutelynecessary.
E:especiallyimportant.
I:important.
O:ordinary.
U:unimportant.
X:undesirable.
Alternatively,thenumberisrelatedtothereasonwhythe
relationshipcodeisappointed,suchintermsofsafety,
easeofsupervision,etc.
Thenextstepistheconstructionoftherelationship
diagram.Thisrepresentstheactivitiesofthebuffdiagram
withtheASMEnotation,connectedwithlines.The
numberoflineslinkingtwoactivitiesderivesfromthe
levelofdesirednearness:fourlinesfortheAclassof
adjacency,threefortheEclass,andsoon.
Therelationshipdiagram,whichderivesfromthe
relationshipchart,allowstheconsiderationofalternative
layoutconfigurations.Amongthemwewillfindthebest
solution,chosenconsideringmorethanjustfactorsof
economy,suchastheimprovementofmaterialflowand
wastereduction,etc.
2.2Leanfacilitylayoutsystem
LeanmanufacturingisaproductionsystemborninJapan,
basedontheToyotaProductionSystem.Thiswasfounded
oncertaincentralideas:themostsignificantaretotalquality
management,totalproductivemaintenanceandthe‘justin
time’.Thefirstisrelatedtothequalityoftheproduct,ofthe
processitselfandofeachelementrelatedtotheproduction
process.Thesecondreferstothestrategicroleof
maintenanceactivities,whilethelastreferstothe
optimizationofthelogisticflowsoastodecreasestock
levels.Thecentralideaofleanmanufacturingiswaste
elimination[33][34],whichisessentialtoincrease
Filippo De Carlo, Maria Antonietta Arleo, Orlando Borgia and Mario Tucci:
Layout Design for a Low Capacity Manufacturing Line: A Case Study
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profitability.Theeliminationorreductionofwaste,infact,is
orientedtowardsbothefficiencyandquality.
Thepresenceofwasteinamanufacturingframeworkis
intrinsictothenatureofthemanufacturingsystemitself.To
makeaproduct asisknown‐alotofprocessesand
operationsareneeded.Someoftheseaddvaluetothe
production,whileothersarenotvalueaddingand,
therefore,maybeconsideredtowasteful.Inparticular,three
differentkindsofoperationshavebeenidentified[35]:
Nonvalueadding:theseoperationsarepurewaste
andshouldberemoved[36].
Necessarybutnonvalueadding:sincetheyare
necessarytoexistingoperatingpractices,theycould
beeliminatedbyrevisingtheoperationprocedures
suchas,forexample,redesigningthefacilitylayout.
Valueadding:theseoperationsgivevalueaddedto
theprocess’stransformationofrawmaterialsto
finalproducts.
TaiichiOhno[37],Toyota’sChiefEngineer,identified
seventypesof“muda”(viz.,theJapanesewordfor
‘waste’),namely:
Overproduction;
Waiting;
Transporting;
Inappropriateprocessing;
Unnecessaryinventory;
Unnecessarymotion;
Defects.
Inrecentyears,theunderutilizationofemployeeshas
beenaddedtothesevenoriginalcategoriesofwaste.
Thespecificfeaturesofleanmanufacturingareusedto
designfacilitylayoutstoo.Thisactivity,fromtheinitial
layout,givesafinalleanfacilitylayoutscheme[38].Itis
basedonfourphases:
Identificationoftheprocess’svaluestreamandthe
definitionofthecurrentstatemapping[39]:theaim
ofthisphaserepresentsthe“asis”stateofthe
studiedsystemthroughamapthatrepresentsallthe
actionsrequiredtomakeaspecificproduct.The
valuestreamisthesetofalltheseactions,namely
aredesignandmanufacturingactivities.
Wasteeliminationandtheidentificationof
alternativesolutions:theseleanmanufacturing
techniquesareusefultoremoveorreduceall
elementsofthemuda.
Representationofthefuturestatemap[39].
Thedesignofthenewfacilitylayout,basedonthe
changesandimprovementsidentifiedinthe
previousphases.
Thefacilitylayoutobtainedaccordingtothisprocesshas
propertiesandgoalssimilartotheleanmanufacturing
ideas:itwillbeorientedtowardsareductionofeachkind
ofwaste,suchastransportingtime,spaceand
unnecessaryworkstations.
3.CaseStudy
Thispaperreferstoafelthatsproductionlinewitha
throughputtimeofabout50daysforeverybatch.Each
batchiscomposedofabout10hats.Theproduction
processisdescribedinwhatfollows.
Furistherawmaterialforthefeltproduction,especially
rabbitandharefur.Thefirstprocessingphaseis
“blowing”,inwhichhairismixedandblownina
particularmachinecalled,properly,a“blower”.Next,
withthe“bastingandprefulling”phase,thehairis
compactedaroundaconewithajetofhotwater.This
operationcreatesabellshapedproduct,calleda“cloche”,
thatiscarefullycheckedforanydefect.Afterthecloche
inspection,itundergoes“steeping”treatment,which
graduallyshrinksitssize.Thenextphasesare“drying”
and“dying”,followingwhichthebellisshrunkfurther
untilitreachesthedesiredsize.Thehoodisthentreated
withcertainnaturalsubstances(lac)inthe“stiffening”
phase:thelacmakestheclochebrightandresistant.Next,
thereisthefirst“blocking”step,whichgivestheright
shapeandsizerequiredbycompressiononspecific
aluminiummoulds.Thefinalformandsizeare
completedafterthesecondandlastblockingstep,
occurredafterthe“pumicing”phasewhichsandsthefelt
outside.Theproductionprocessendswiththe“finishing”
phase,whichincludestheapplicationoffinalstandard
accessories(lining,leatherbands,etc.)andthoserequired
bycustomers.Thehatisthenreadyforfurtherpackaging
activities.
Tosummarize,thereare11activitiestobeaccomplished
and9workstationsneededintheline:
A. Blowing;
B. Bastingandprefulling;
C. Steeping;
D. Drying;
E. Dying;
F. Stiffening;
G. Blocking;
H. Pumicing;
I. Finishing.
Figure2:Productiondiagram.Thefigureshowstheproduction
phasesrequiredtoproduceafelthat.Thephasesare:Blowing
(A),Bastingandprefulling(B),Steeping(C),Drying(D),Dying
(E),Stiffening(F),Blocking(G),Pumicing(H)andFinishing(I).
NoticethattheCandGphasesmustbeperformedtwice.
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Figure2highlightsthedescribedsequenceofactivities
requiredtoproducefelthats.
However,alinearconfigurationofworkstationsis
difficultobserveinrealcases.Steeping,infact,isusually
madeonauniquemachineandthesameissofor
blocking;sincetheseoperationsoccurtwice,theflow
materialisnotlinearbutratherbecomesinterlaced
(Figure3).
Figure3.Usualprocessdiagramforfelthatproduction.The
materialflowisnotlinearbutinsteadinterlaced.
Moreover,inrecentyears,themanufacturingprocess
analysedhasexhibitedsignificantefficiency
degenerationforanumberofreasons,suchasworkin
progressgrowth,alossofcontrolofmanufacturing
activitiesandahighvarianceofcycletime.Taking
advantageofacorporatereorganizationopportunity,
itwasdecidedtoredesigntheproductionarealayout.
So,thefirststepwastheidentificationofthebest
designmethodtoadopt:woulditbebettertodesign
thefacilitylayoutbasedonlyontheproductioncrew’s
experiences,orshoulditadoptamoreskilled
engineeringapproach,suchasananalysisbasedon
SLP?
Theactualproductionareaconstitutedaunique,huge
space,wheretherewerealsooffices,packagingareas,
rawmaterialsandfinalproductstoragespace.
Therefore,theseparationoftheproductionactivities
fromalltheotherauxiliaryoneswasthefirst
requirementexpressedforthenewlayout.Referringto
theactualstaterepresentedinFigure4,the
manufacturingactivitiesfromtheinitialblowing(A)to
thepumicing(H)arerepresentedbythe“production”
area,whichisabout470m
2
,whilethefinishingactivity
(I)isrepresentedbya“finishingoperation”areaof210
m
2
.
The“productionand“finishing”operationsarethe
areasthatneedaredesignandtowhichanewbuilding
ofabout1300m
2
willbeassigned.Inparticular,the
productionworkstationswillbereorganizedaccording
tocertainfactoryrequirements(seebelow).Theother
activitieswillberearrangedinthealreadyexisting
plant.Figure4highlightstheoriginalconfigurationon
theleftsideandthedesiredoneontheright.
Figure4.Planofthefelthatfacility.Ontheleftsideistheactual
configurationofthemaindepartments,whileontherightisthe
newbuildingmadeavailablefortheproductionandfinishing
operations.
Theredesignstudypresentedinthispaperisonly
concernedwiththenewbuildinginFigure4,which
comprisestwodifferentareas,asshowninFigure5.
Figure5.Newbuildingarea.Theworkstationsforthefelthat
production(Blowing,Basting&PreFulling,Steeping,Drying,
Dying,Stiffening,Blocking,PumicingandFinishing)willbe
reorganizedintothisnewplantinordertoeliminateallthe
waste
Themaingoalofthelayoutredesignistheeliminationor
‐ atleast‐thereductionoftheprincipalproblems
highlightedintheactualorganization.Themain
criticalitiesaresummarizedbelow:
Excessivedistancebetweenworkstations:this
configurationcausesanincreaseinmovingtimes
andenhancesthecomplexityofthevisualcontrols
oftherawmaterialflows.Inaddition,thefinishing
processisdividedintotwo,neardifferent
workstations.Withthisarrangement,theoperators
havetomovetodothesameoperation,causing
timeinefficiencies.
Logicalsubdivisionamongworkstations:atthe
present,thereisnoseparationamongthedifferent
kindsofworkstations,thoughitwouldbedesirable
thatsimilaroperationswouldbearrangednextto
eachother.Conversely,conflictingonesshouldbe
separated.Blowing,bastingandprefulling,and
Filippo De Carlo, Maria Antonietta Arleo, Orlando Borgia and Mario Tucci:
Layout Design for a Low Capacity Manufacturing Line: A Case Study
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pumicing,infact,are“dirtyoperationsbecausethey
producepollutionduringthefurprocessing.Dyingis
anotheroperationthatisclassifiableas“dirty”
becauseoftheuseofchemicalsubstances.Byclosely
positioningtheseoperations,itmightbepossibleto
haveauniqueairvacuumandpurificationsystem.
Ontheotherhand,steepinganddryingarestrictly
relatedfortechnologicalreasons.Thehat’sfinal
quality,infact,alsodependsuponthetimepassing
betweentheseoperations:infact,itmustnotbetoo
long.Moreover,forstiffeningandfinishingthereis
anorganizationalconstraint.Theseoperationsare
directlyrelatedtothevisualqualityofthehatanduse
similarmachinesforfinalqualitycontrol.Forthis
reason,theyshouldbeplacedclosetogether.
Rawmaterials’availability:rawmaterialsand
accessoryelementsarestoredinthreedifferentareas,
twoofwhichareveryfarfromtheblowingstation.
Disorganizationoftoolarrangements:allthe
accessoryelementsusedintheproductionphases
haveamessyarrangement.
4.Results
Themanufacturingprocessredesignwasmadethrough
threedifferentmethodologies.Thefirstoneisan
empiricalmethodwhiletheothersareengineering
techniques.Inthefollowingsections,theresultsofeach
methodwillbesummarized.
4.1Empiricalapproach
Thefirstlayoutwasidentifiedempirically.Accordingtothe
problemsrecognizedandthegoalssought,variousdifferent
solutionshavebeensuggestedinanattempttoplacesimilar
operationsoractivitieswithspecificneedsclosetogether.
Figure6.Empiricalapproachlayout.Eightoperationsoutofthe
elevenareorganizedsequentially,whileforfouroperations
morecomplexmovesarenecessary.
Amongthealternativesolutions,themostimpressive
layoutwaschosen.Theselectiontechniquewasthefactor
analysismethod,whichidentifiestheprincipaldesirable
features(factors)forthenewlayout.Themainfactors
consideredwere:workerflow;processflow;flow
visualization;possibleexpansion;interactionamong
departments;groupingofequipment;flexibility.Each
factorhasaweightrepresentingitsimportance.Ascore
wasassignedtoallthelayoutsidentifiedforeachfactor.
Next,itwasmultipliedfortheweightoftherespective
factors.Finally,eachsolutionreceiveditstotalscore:the
layoutwiththebesttotalvaluewasthepreferredlayout.
Figure6showstheselectedempiricallayout.
Thisresultcombinesproductandprocesslayoutfeatures.
Theworkstations,infact,haveaUshapedconfiguration
thatfollowsthesequenceofthemanufacturingprocess
activities.However,machineswithsimilarfeaturesarein
thesamezone.Thenewlayoutpartiallyfollowsthemain
workstations’unificationrequirements,accordingtothe
reasonspresentedinsection3:steepinganddryingare
nearby,andstiffeningandfinishingareneighboursinthe
samearea.
Theempiricallayoutalsofacilitatesareductionofthe
distancebetweenthefinalphases(stiffeningand
finishing)andtheotherworkstations.Atthesametime,
thetoolarrangementwasreorganizedinauniquearea.
Thisfirstnewlayoutthusseemstoprovideimportant
improvementstotheproductionsystem.
4.2SLP
ThefirststepofalayoutredesignwithSLPisthe
constructionofarelationshipchart.Thebuffdiagram
Figure7.Relationshipchart.Thebuffdiagramhighlightsthe
relationshipsbetweenpairsofprocessoperations.The
intersectionoftwodivisionlinesshowsaletterspecifyingthe
importanceoftheirproximity.
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allowsthedefinitionofanoptimaloperationssequence
withacorrespondingblocklayout.Thiswillneedtobe
successivelyadaptedtothesizeandshapeofthe
allowablefunctionalarea.
Figure7representstherelationshipchartfortheprocess
activitiesofthefelthatmanufacturingprocess.
Fromthebuffdiagram,therelationshipchartofFigure8
wasacquired.Thevariousrelationshipsofproximityfor
theworkstationsaddtothecomplexitythediagram,as
itisdifficulttosatisfyalltherequirementsatthesame
time.
Figure8.Relationshipdiagram.Inimage,alltheworkstations
areshown;theyareconnectedbylines,thethicknessandcolour
ofwhicharedependentuponthestrengthofthedesired
relationship.
Figure9showstheoptimumlayoutobtainedwiththe
SLPmethod.
Figure9.LayoutobtainedwiththeSLPmethod:eightoperations
outofthetotalofelevenareorganizedsequentially,whiletwoof
theoperationshaveawovenpath.
Asisclearlyvisible,thislayouthasaworkstation
configurationwithamorecomplexmaterialflowthanthe
empiricallayout.TheUshapedconfigurationisavailable
onlyforafewoperations,inasimilarfashiontothe
empiricallayoutcase.Asfortheempiricallayout,theSLP
givesamoreefficientorganizationoftheauxiliaryelements
andgeneratesareductionofthedistancesbetweenthefinal
phasesandtheotherworkstations.Finally,themain
requirementofkeepingsimilaroperationsclosetoone
anotherisonlyrespectedtoalimitedextent.
4.3Leanapproach
Thelayoutderivedfromtheapplicationofawiderlean
Manufacturingapproach,wasobtainedaccordingtothe
fourprogressivephasespresentedinthemethodssection.
Inparticular,thevaluestreammapwasperformedsoas
tobetterunderstandtheactualconfigurationofthe
processproductionandtoidentifyandeliminatewaste.
Figure10.Valuestreammapofthe“asis”state.Inthepictureis
showntheproductionprocesswiththedurationofeachactivity
andthewaitingtimebetweenworkstations.
Figure11.Futurevaluestreammap.Themaintimereductions
arerelatedtotherawmaterials’processingtimesandthefinal
transportationandwaitingactivities.
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Figure10showsthevaluestreammapofthe“asis”state,
fromwhichthefutureanddesiredlayoutwasobtained.
ThefuturevaluestreammapisshowninFigure11.Itis
possibletonotethatthemainchangesconcernthereduction
ofwaitingtimesbetweenthefinaloperationsandthe
reductionoftheprocessingtimefortherawmaterial.Inthe
desiredconfiguration,thereisalsoanewstorageareafor
semifinishedproductsbetweenthetwofinalworkstations.
Thelayoutobtainedthroughthisleanapproachisshown
infigure12.Asisclearlyvisible,thisnewlayoutoffers
manybenefits,sinceitderivesfromanoverallredesignof
thefelthatmanufacturingprocess.Oneofthemost
representativeelementsisthepresenceofcells:thethree
operationsofsteeping,dryinganddyingaregrouped
intoacelland,therefore,theoperatoroftheseactivities
canworkinasmaller,moreergonomicareathanbefore.
Thiscausesasignificantreductionofthetransportationof
waste,whichisanovalueaddedtime.Furthermore,this
newlayoutenablesforeasierblockingandpumicing,
sincetheyaregroupedandorganizedintotwoparallel
lines.Forthislayout,andsimilartothepreviousresults,
theworkstationsareorganizedsequentiallyaccordingto
themanufacturingprocessflow.Theadvantagesofthe
previouslayoutsareprovedhereagain.
Figure12.Layoutobtainedthroughthemainideasofthelean
production.Itispossibletonotethatsomeactivitieshavebeen
matchedandthattheoperationsareorganizedinacompletely
sequentialmanner.
5.DiscussionandConclusions
Thethreelayoutconfigurationsobtainedwiththethree
differentmethodologicalapproachespresentedare,at
firstglance,verysimilar.Themeregraphical
representationandempiricalconclusionsofeachlayout,
however,arenotsufficienttocomparethemefficiently.
Throughput
time
[%]
Workers
moving
time[%]
Orders
fulfilled
peryear
[#/y]
Yearly
revenue
[€/y]
Empirical ‐2.95%+8% 0.25 500
SLP ‐3.9% ‐15%+1.8+3,600
Lean ‐4.15% ‐24%+3+6,000
Table1.Thelayouts’productionperformance.Thetableshows
theproductionefficiencyperformanceofeachlayouttestedin
comparisontotheactuallayout’sperformance.
Toexaminetheproductiveperformanceofeverylayout,
adiscreteeventsimulationwasperformed.The
simulationmodelallowedustoanalysetheefficiencyof
eachlayoutthroughitsquantitativeresults.Foreach
layoutconfiguration,acorrespondingsimulationmodel
wasrealized,generatingmanyimportantproductive
parameterssuchas:theproductiontime,theoperator
waitingtime,theratiobetweenthroughputtimeandvalue
addedtime,thenumberofannualorders,andsoon.
Table1summarizesthesimulationresultsofsomeof
theseparameters.
Table1highlightsthefollowingelements:
Theproductiontime(thesumofallthetimes
necessarytomakeafelthat,fromthefirstoperation
ontherawmaterialtothelastpackagingphase)is
barelyconditionedbythechosenlayout.Thetransfer
operationtimes,whichareadirectconsequenceof
thelayoutconfigurationareinfactverylowwhen
comparedtotheproductiontime.Theleanlayout
ensuresthebestproductiontimereduction,because
itbetterrespectstheoperationsequence.
Theleanlayoutenablesthefulfilmentof1,381orders
ayear,13morethanthevaluereachablewiththeold
workstationconfiguration.
Theannualturnoverincreasesby€5,722comparedwith
thevalueestimatedwiththeoldlayout.Incontrast,the
empiricallayoutcausesadecreaseofthisparameter.
Hence,thesimulationresultsprovethatthelayout
derivedfromtheleanapproachisthebestforthe
productionoffelthatsinthiscasestudy.
Leanideashavealsoallowedtheidentificationofa
potentialimprovableelementofthemanufacturing
process.Toreduceallthewasteasmuchaspossible,it
wasdeterminedtointroducearecipecontrolweighing
system(RCWS)atthebeginningoftheprocess.Itsaimis
tooptimizeandcheckthestartingphasesofthe
manufacturingprocess:therealizationofthefeltcloth.
RCWS,infact,enablesthebetteruseoftheproper
amountofrawmaterialsbyavoidingunnecessarywaste.
Moreover,RCWSmakesitpossibletoimprovethe
traceabilityofalltheinformationaboutanorderandthe
associatedrawmaterials’quantities.Finally,the
introductionofRCWSintheprocessproductionwould
Int. j. eng. bus. manag., 2013, Vol. 5,
Special Issue Innovations in Fashion Industry, 35:2013
8www.intechopen.com
improvethemanufacturingprocess’sperformance:
namelyintermsoflowertransferoperationtimes,a
reductioninthenumberofnoncompliantitems,andan
improvementinthetraceabilityoftheproducts.Allthese
advantageswereevaluatedbyacustomfeasibilitystudy,
resultinginarevenuemarkupof€17,300.
Assuch,wecanconcludethatwhenitisnecessaryto
redesignthelayoutofalowvolumebatchproduction
line,thebestwaytoconfrontthisactivityistoimaginea
possiblereengineeringoftheprocesswiththeaimof
reducingwasteaccordingtoleanmanufacturing
principles.Thismethodology,infact,inadditiontothe
reductionoftransportingtimesandcosts,analysesand
helpstheredesignoftheproductivesystemwiththeaim
ofreducingallpossiblewaste.Insuchacase,the
unavoidablecostsofredesignwouldtriggeradouble
benefit:ontheonehand,theywillgeneratethenecessary
thelayoutredesignand,ontheotherhand,theywill
hopefullydefineimprovementsthatwouldleadtobetter
systemperformance.
6.References
[1]A.KusiakandS.S.Heragu,“Thefacilitylayout
problem,”Eur.J.Oper.Res.,vol.29,no.3,pp.229–
251,1987.
[2]S.S.Heragu,Facilitiesdesign.iUniverse,2006.
[3]T.C.KoopmansandM.Beckmann,“Assignment
problemsandthelocationofeconomicactivities,”
Econ.J.Econ.Soc.,pp.53–76,1957.
[4]A.Drira,H.Pierreval,andS.HajriGabouj,“Facility
layoutproblems:Asurvey,”Annu.Rev.Control,vol.
31,no.2,pp.255–267,2007.
[5]R.L.FrancisandJ.A.White,Facilitylayoutand
location:ananalyticalapproach.PrenticeHall,1974.
[6]R.G.AskinandC.R.Standridge,Modelingand
analysisofmanufacturingsystems.Wiley,1993.
[7]M.C.FuandB.K.Kaku,“Minimizingworkin
processandmaterialhandlinginthefacilitieslayout
problem,”IieTrans.,vol.29,no.1,pp.29–36,1997.
[8]E.Shayan*andA.Chittilappilly,“Geneticalgorithm
forfacilitieslayoutproblemsbasedonslicingtree
structure,”Int.J.Prod.Res.,vol.42,no.19,pp.4055–
4067,2004.
[9]S.P.SinghandR.R.K.Sharma,“Areviewofdifferent
approachestothefacilitylayoutproblems,”Int.J.Adv.
Manuf.Technol.,vol.30,no.5–6,pp.425–433,2006.
[10]J.M.Apple,Plantlayoutandmaterialhandling.Wiley,
1977.
[11]M.M.D.Hassan,“Machinelayoutproblemin
modernmanufacturingfacilities,”Int.J.Prod.Res.,
vol.32,no.11,pp.2559–2584,1994.
[12]R.D.MellerandK.Y.Gau,“Thefacilitylayout
problem:Recentandemergingtrendsand
perspectives,”J.Manuf.Syst.,vol.15,no.5,pp.351–
366,1996.
[13]M.M.HassanandG.L.Hogg,“Areviewofgraph
theoryapplicationtothefacilitieslayoutproblem,”
Omega,vol.15,no.4,pp.291–300,1987.
[14]S.Hamamoto,“Developmentandvalidationof
geneticalgorithmbasedfacilitylayoutacasestudy
inthepharmaceuticalindustry,”Int.J.Prod.Res.,vol.
37,no.4,pp.749–768,1999.
[15]M.P.Groover,Automation,productionsystems,and
computerintegratedmanufacturing.PrenticeHallPress,
2007.
[16]T.C.Papadopoulou,“Applicationofleanscheduling
andproductioncontrolinnonrepetitive
manufacturingsystemsusingintelligentagent
decisionsupport,”2013.
[17]F.DeCarlo,Impiantiindustriali:conoscereeprogettarei
sistemiproduttivi,Terzaedizione.Lulu.com,2013.
[18]G.A.B.Edwards,Readingsingrouptechnology:
cellularsystems.MachineryPub.Co.,1971.
[19]F.Huq,D.A.Hensler,andZ.M.Mohamed,“A
simulationanalysisoffactorsinfluencingtheflow
timeandthroughputperformanceoffunctionaland
cellularlayouts,”Integr.Manuf.Syst.,vol.12,no.4,
pp.285–295,Jul.2001.
[20]M.Hassan,“Layoutdesigningrouptechnology
manufacturing,”Int.J.Prod.Econ.,vol.38,no.2,pp.
173–188,1995.
[21]R.Iannone,A.Ingenito,G.Martino,S.Miranda,S.
Pepe,andS.Riemma,“Merchandiseand
replenishmentplanningoptimizationforfashion
retail,”Int.J.Eng.Bus.Manag.,vol.inpress,2013.
[22]M.M.SchiraldiandC.Battista,TheLogisticMaturity
Model:ApplicationtoaFashionCompany,”Int.J.
Eng.Bus.Manag.,vol.inpress,2013.
[23]F.DeFelice,A.Petrillo,andC.Autorino,“Key
successfactorsfororganizationalinnovationinthe
fashionindustry,”Int.J.Eng.Bus.Manag.,vol.in
press,2013.
[24]F.DeCarlo,M.Tucci,andO.Borgia,“Bucketbrigades
toincreaseproductivityinaluxuryassemblyline,”
Int.J.Eng.Bus.Manag.,vol.inpress,2013.
[25]E.Battistoni,A.FronzettiColladon,andG.
Mercorelli,“Prominentdeterminantsofconsumer
basedbrandequity,”Int.J.Eng.Bus.Manag.,vol.in
press,2013.
[26]A.Fumi,A.Pepe,L.Scarabotti,andM.M.Schiraldi,
“Fourieranalysisfordemandforecastinginfashion
company,”Int.J.Eng.Bus.Manag.,vol.inpress,2013.
[27]M.E.Nenni,L.Giustiniano,andL.Pirolo,“Demand
forecastinginthefashionindustry:areview,”Int.J.
Eng.Bus.Manag.,vol.inpress,2013.
[28]R.C.Lee,“CORELAP—ComputerizedREIationship
LAyoutPlanning,”inConferenceandconvention
proceedings,1967,p.274.
[29]F.DeCarlo,“ReliabilityandMaintainabilityin
OperationsManagement,”inOperationsManagement,
1vols.,Rijeka,Croatia:Intech,2013,p.32.
Filippo De Carlo, Maria Antonietta Arleo, Orlando Borgia and Mario Tucci:
Layout Design for a Low Capacity Manufacturing Line: A Case Study
9
www.intechopen.com
[30]F.DeCarlo,O.Borgia,andM.Tucci,“Riskbased
inspectionsenhancedwithBayesiannetworks,”Proc.
Inst.Mech.Eng.PartOJ.RiskReliab.,vol.225,no.3,
pp.375–386,2011.
[31]F.DeCarlo,O.Borgia,andM.Tucci,“Accelerated
degradationtestsforreliabilityestimationofanew
product:acasestudyforwashingmachines.,”Proc.
Inst.Mech.Eng.PartOJ.RiskReliab.,inpress.
[32]R.MutherandA.H.Mogensen,“Systematiclayout
planning,”1973.
[33]J.P.Womack,D.T.Jones,andD.Roos,TheMachine
ThatChangedtheWorld:TheStoryofLeanProduction‐‐
Toyota’sSecretWeaponintheGlobalCarWarsThatIs
NowRevolutionizingWorldIndustry.Simonand
Schuster,2007.
[34]J.P.WomackandD.T.Jones,LeanThinking:Banish
WasteandCreateWealthinYourCorporation.Simon
andSchuster,2010.
[35]Y.Monden,Toyotaproductionsystem:anintegrated
approachtojustintime.ProductivityPr,2012.
[36]P.HinesandN.Rich,“Thesevenvaluestream
mappingtools,”Int.J.Oper.Prod.Manag.,vol.17,no.
1,pp.46–64,1997.
[37]T. Ōno,Toyotaproductionsystem:beyondlargescale
production.ProductivityPr,1988.
[38]X.Lu,Z.Jia,J.Yang,andH.Liu,“Designand
implementationofLeanFacilityLayoutSystemofa
ProductionLine,”Int.J.Ind.Eng.TheoryAppl.Pr.,
vol.18,no.5,2011.
[39]M.RotherandJ.Shook,LearningtoSee:ValueStream
MappingtoCreateValueandEliminateMuda:Version
1.3June2003.LeanEnterpriseInstitute,2003.
Int. j. eng. bus. manag., 2013, Vol. 5,
Special Issue Innovations in Fashion Industry, 35:2013
10 www.intechopen.com
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