Vietnam
SupplychaindesignisbecomingmoreimportantasAgricultureisac rucialpartoft h e globaleconomy,especiallyrelatedtotimeliness,pa ckaging,temperatureandhumiditycontrol,andstoragetimeo f perish ablef a r m products(Fernandes,2003;S o y s a l etal.2012).Likewise ,LoweandPreckel(2004)declaredthatthesechallengesgeneratea r equirementformanagementefficiencyandt h e u s e o f moderndecisi ont e c h n o l o g y tools.Moreover,VaartandPieter(2003)pointed outtheimportanceofaninter-
disciplinaryapproach,integratingtherelationalandtechnicalaspects fromthecorrespondingfieldso f systemdynamicsandpartnershipi n ordertodeliverbettero r d e r replenishmentperformance.Rumbau gh(1996)claimedt h a t associationsare
veryimportant,for example,the additionofmultipleitems,complext ransportationpolicies,orassemblynodeswouldmaketheuseofasso ciationsnecessary.Thisaddedcomplexityfurtherjustifiestheuseofaf ormalmodellingapproach.Toillustrate,Maiae t al.
(1997)appliedamixed-
integerlinearprogrammingmodeltoproposetheselectionoftechnolo gyroutesforfruitandvegetablecropsbetweenharvestandm a r k e t in thecaseofvegetablesandfruitsduetotheseasonalfluctuationsinpr oductionanddemandandtheneedf o r specialstorageconditionsfordi fferentproducts.Besides,Blancoetal.
(2005)detailedapackingplantplanningmodelforthef r u i t industryin Argentina.Basedonusageandrequirements,fruitscanpassthroughu p totendifferentprocessesastheyflowthroughapackingplant.Their modeldealswitheightfruitvarietiesinthreecategoriesofqualitywith five differentgauges(i.e.,sizes)byusingM I P . I n addition,Ferrere t al.
(2007)solveda mixed-
integerlinearprogrammingmodeltosupportharvestscheduling,labor allocation,androutingdecisions.Aqualitylossfunctionisusedtorepre sentwinequalityreductionateachvineyardblockduetoprematureord eferredharvestwithrespecttoanoptimaldate.R e c e n t l y , Munhoza ndMorabito(2014)showedthatafrozenconcentratedorangejuiceaggr egateproductionplanningismodelledusinglinearprogrammingtosu pportdecision
makingintheproductionprocessofacitruscompanywithmultipleprod ucts,stagesandperiods.Thent h e modelisextendedtot a k e intoacco untuncertaintyi n somemodelparametersu s i n g a robustoptimizatio napproach.Furthermore,DuanandLiao(2013)proposedasimulationo ptimizationframeworkforsupplychaininventorymanagemento f hig hlyperishableproducts.A n e w replenishmentpolicybasedonoldinv entoryratioisdeveloped,calledOIRpolicy.Itisanage-
basedpolicyu s i n g onlypartialageinformationtomeasurethefresh nessoftheentireinventory.Theefficiencyofthenewpolicyisevalua tedindetailforasingle-vendor-multi-
buyerplatelet(withalimitedshelflifeof5days)supplychain.
Ont h e otherhand,b e c a u s e o f t h e widevarietyo f F o o d suppl yc h a i n s (FSCs)structures,Broekmeulen(1998)complementedhis heuristicwithasimulationmodelt o studyt h e impactt h a t a product- to-
zoneassignmentm a k e s o n dailyr e q u e s t s forstorageandr e t r i e v a l byt e s t i n g t h r e e differentstoragepolicies:t h e preferredzonepo licy,t h e freezonepolicy,andt h e temperaturepolicy.W i t h t h e propo sedmodel,incorporatingf a c t o r s suchasseasonalityandperishabilit ywouldenhancet h e efficiencyofafruitandvegetabledistributioncent re.HesterandCacho(2003)r e p o r t e d abiologicalmodelthatdesc ribesthegrowthofanappletreeusingacarbon-
balanceapproach.Theyusetheoutputofthismodel,orchardyield(fruit quantity,size,andweight)whilet h e i n p u t t o a relatedeconomicmod el,f o r m i n g a b i o -
e c o n o m i c modeltopredicttheweightoffruit.Resultsshowthatthe relationshipbetweent h i n n i n g andnetpresentvalueisnonlineara ndthatnetpresentvalueisnotmaxi m ized byt h e maximumprice,yi eld,o r weighto f t h e fruit.Theauthorsu s e a dynamicoptimizationapp roachconsistingofanonlinearmodeltheyformulateandageneticalg orithmt h e y devise.A limitationo f thismodeli s thati t doesn o t deal explicitlywiththestochasticaspectsofthesystem.Thus,addressingu ncertaintyexplicitlyremainsachallengeforfutureresearch.Speci fically,Vitorianoetal.
(2003)presentedtwoalternativemathematicalmodelstoattainthepr oposedobjective.Thefi r s t modelsplitsthetimeintodiscreteunitss preadthroughouttheplanninghorizon;it ispresentedinconnectionwi thflexiblemanufacturing.Thesecondmodelkeepsacontinuoust i m e horizon;a schedulingmodeli s usedf o r whicha f a m i l y o f incom patibilityconditionsisintroducedtoavoidacertaintypeofsimultaneo ususageo f resources.Next,Verdouwetal.
(2010)addressedabasicmodelwithtemplatesfort h e designoffresh andprocessedFSCsinadeepdetail.ThepaperofRongetal.
(2011)f o c u s e d onthemanagementoffreshfoodqualitymodelling qualitydegradation,givena generalapproachtofreshfoodandthepro blemofpreservingthequalityashappenswithfreshfruit.Moreover,t hegeneralstructureoftheFSCdescribedbyNadal-
RoigandP l à (2015)wascommoni n modernF S C s , althought h e actor stakingpartm a y vary.Therefore,asproblemsandneedsintermsofm odellingcanbedifferent,slightvariationsi n t h e structurec a n befoun di n literature.Forinstance,Canavarie t al.
(2010)emphasizedtheroleofproducersandconsiderthreedifferentF SCs.Similarly,S r i m a n e e andRoutray(2012)modelledt h e F S C s i n Thailandasa networko f fi v e differentF S C s linkedbyt h e produce rwhoestablishesa percentageo f productionaccordingtothefinalcon sumer(localmarket,localcollectors,cooperatives,assemblersande x p o r t agents).A differentapproachi s presentedbyZangandFu(2010) whopresentedf o u r differentF S C s designsexistingi n China(worldwi det h e fi r s t fruitproducer)withdifferentcharacteristics,stakeholder sandlimitations.
Usingtheproduct'smarginalvalueoftime(MVT),BlackburnandSc udder(2009)showedtherateatwhichtheproductlosesvalueovertim einthesupplychain.Theyalsoshowtheappropriatemodeltominimize lostvalueinthesupplychainisahybrido f aresponsivemodelfrompost -
harvesttocooling,followedbyanefficientmodelint h e remainderof thechainandthesetwosegmentsofthesupplychainareonlyloosely
linked,implyingthatlittlecoordinationisrequiredacrossthechainto achievevaluemaximization.Similarly,Etemadniae t al.
(2015)developeda m i x e d integerlinearprogramming(MILP)
andaheuristic solutionforregionalfoodaccessthrough optimalhublocationst o minimizet o t a l networkcostswhichi n c l u d e c o s t s o f transportinggoodsandlocatingfacilities.Ascenariostudyi susedtoexaminethemodel'ssensitivityt o parameterchanges,inclu dingtraveldistance,hubcapacity,transportationcost,etc.Catala
etal. (2016)usedamulti-periodmixedinteger
linearprogrammingformulationf o r t h e medium-
termplanningo f t h e applesandpearssupplyc h a i n i s presented.Gi vent h e supplyc h a i n structure,demanddata,andharvestingdates,t h e proposedapproachintegratesproduction,processing,distribution ,andinventorydecisionsconsideringtwoconflictingobjectives:profit andproductsupplyshortage.Them a t h e m a t i c a l modeli s solv edbyusingt h e lexicographicmethodt o dealwitht h e multi-
objectiveoptimization.Also,Banasike t al.(2017)proposeda multi- objectivem i x e d integerlinear
programmingmodeltoquantifytrade-
offsbetweeneconomicandenvironmentalindicatorsandexplorequa ntitativelyalternativerecyclingtechnologies,developedtore-
designthelogisticalstructureandcloseloopsinthemushroomsupplyc h a i n . Furthermore,MohammedandWang(2017)describedadevelo pmentofaproductdistributionplannerf o r a three-
echelong r e e n meatsupplyc h a i n designi n t e r m s ofissuesincludi ngnumbersandlocationsoffacilitiesthatshouldbeopenedinassoci ationwiththeproductquantityflows.Theseissuesareformulatedint oafuzzymulti-
objectiveprogrammingmodel(FMOPM)withanaimtominimizethetot alcosto f transportationandimplementation,theamountofCO2emis sionsintransportationandthedistributiontimeofproductsfrom fa r ms toabattoirsandfrom abattoirstor e t a i l e r s , andm a x i m i z e t h e averagedeliveryr a t e i n satisfyingproductquantityasre ques ted byabattoirsandretailers.
Inte rms ofm ana ge me nt supplychain,PerdanaandK us na nda r (2012)discussedt h e applicationof“triplehelixmodel”oninteract ionbetweenuniversities,exporters,government,andsupportingin stitutionsindevelopingfreshfruit andvegetable supplyc h a i n management.Particularly,ManziniandAccorsi(2013) presentedageneralandc o n c e p t u a l frameworkfortheassessm entoffoodsupplychain(FSC)andlogisticsoff o o d productsinagree mentwithamultidisciplinary
andintegratedview.Thetargetoft h e proposedi n t e g r a t e d approa chtosupplyc h a i n designandm a n a g e m e n t i s t h e simultaneous controlofquality(1),safety(2),sustainability(3)andlogisticsefficiency
(4) of foodproductsand processesalongthe wholeFSC‘‘from farmtofork’.
Vietnam’sAgriculturalsectoraccountsforconsiderableGDP
andgrowth.Over70%o f thepopulationcontinuestodependonthisfiel d.Unfortunately,themassivewastageandinefficienciesarealwaysthe unsolvableproblemsintheAgri-
freshproducesupplyc h a i n duetothelinkage
betweenintermediatesinthetraditionalsupplychainwiththem a j o r constraintssuchaspoortransportfacilities,non-
availabilityoflargescalecoldstorage,n o c l e a n policyguidelinesfro mgovernmentandespeciallysmallf a r m e r s , leadingtoamismatch betweensupplyanddemandandhightransactioncosts.Hence,t h e h olisticapproachf o r designandm a n a g e m e n t o f t h e Agri-
freshproducesupplyc h a i n
i n Vietnamistheforemostandnecessary,especiallyintoday’scompeti tive globalm a r k e t place.
6. Conclusionandfutureresearchopportunities
Thispaperengagedinasystematicreviewofliteraturerelatedtode signmodelsofagrifreshproducesupplychains.Previousworksspanni ngover50years(1976-
2017)havebeenscrutinisedtoanalysefreshproducesupplychainm odelsappliedinthesestudieswithspecialemphasisondesigncompon entsrelatingtosolvingdecisionproblems,designingsupplychainstru cturesandevaluatingperformancemeasurement.Ourreviewshowst hatthereisagapindesigningandmanagementoft h e agrifreshprodu cesupplychains.Itisexpectedthatfurtherresearchwouldemergei n t hefuturetofill thisgapandtherebyextending theoryandpractic eofagri-freshproducesupplychaindesignandmanagement.
Basedonthefindingsofourreview,itissuggestedthataholisticapp roachforthedesigningandmanagementofagrifreshproducesupp lychainsneedtobeadopted.F i r s t l y , performancemeasurement aspectsneedtobeembeddedintothesystematt h e designingstage.
I t i s alsosuggestedtot e s t empiricallya g r i -
f r e s h supplyc h a i n performancemeasurementsystemsto justifyor c ha l le ng e previouslysuggestedi n d i c a t o r s consideringtheuni quecharacteristicsofagri-freshproduce.
Secondly,o p e r a t i o n modelswithnewlydevelopedc o m p o n e n t s cant h e n bef o r m u l a t e d u s i n g a varietyo f modellingapproache ssuchaslinearprogramming,multi-
objectivelinearprogramming,stochasticoptimization,andeventheg amet h e o r y relatedt o alternativedesignandr i s k distribution.I n theotherwords,t h e holisticapproachesneedt o beappliedt o suppo rtstrategic,tacticalandoperationalleveldecisionsinthemostcompre hensiveandeffectiveway,takingintoconsideration
keydecisionvariablessuchast h e mixo f cropst o begrown(strategicis sue),t i m e - stagedtomaximizelong-
termproductivity(tacticaldecision)andtimeannualthinningo r harve sting,storage(operationaldecisions)throughouttheoptimalmixofa narrayo f decisionvariableslinkedtoasystemoftheappropriateperfor mancemeasures.
Apartf r o m theholisticapproachesmentionedabove,supplychain managementshouldbeconsideredasthedesignandoperationofphysi cal,managementinformationandfinancialsystemsneededtotransfe rgoodsandservicesfrompointofproductiontopointofconsumptionin anefficientandeffectivemanner.Theentiresupplychainmanageme ntprocessisavaluablechainwherebottlenecks,valueaddingf a c t o r s andliabilityfactorsaredeterminedandaddressedtoimproveandensu rethatt h e rightproductisintherightplace,attherighttimeandattheri ghtcost.
Appendix Table1
Highlightsofreviewedreferences
NoTitle Author Keythemesaddressed
1. Processing- andproduct- relatedcauses offoodwastean dimplication sforthefoodsu pplychain
Raaket al.
(2017)
- Summarizingcausesofprocess ing-andproduct-
relatedfoodwaste
- Supplementingaliteraturerevie wwithinformationfrompractition erinterviews.
- Presentingexpertinterviewsprovi dingnewinsightsintocausesofprodu cer-relatedfoodwaste.
- Summarizingproduct-
relatedmechanismsleadingtosubop timalfoods.
- Discussingpotentialfactorsforredu cingfoodwaste.
2. Decisionsupp ortmodelsfor manag ing r eturnabletran sportitemsins upplychains:
Asystematic
Glock(2017) -
Presentingtheresultsofasystematiclit eraturer e v i e w ofdecisionsupportmo delsforthem a n a g e m e n t ofclosed- loopsupplychainsinvolving returnabl etransportitems(RTIs).
-Ensuringthefinishedproductreachesth
ec ust om erat thel ea st tota lco st an d/or wit ha mi ni m al en viro nm e ntal im pa ct.
160 | ICJED2017
No Title Author Keythemesaddressed
literaturereview -
Reportingmethodologyoftheliterature reviewi s anddescriptivelyanalyzingth epapers.
-Proposingfutureresearchopportunities.
3. Operationalre searchmodelsa ppliedtothefre shfruit supply chain
4. Handlinguncer taintyinAgricult uralsupplyc h a i n managemen t:Astateofthea rt
5. PlanningModel stoOptimizeth eAgri-
freshFoodSup plyChainforLo ssMinimizati on:AReview
6. Crop-
relatedharves tingandproces singplanning:
areview
Soto- Silvaetal.
(2016)
Borodinet al.(2016)
Paametal.
(2016)
Kusumast utie tal.
(2016)
- PresentingthefirstreviewonORmeth odsinfreshfruitsupplychain.
- Presentingareviewcomplementedwi thpapersofothersimilarsupplychains.
- Usingdifferentcriteriatoclassifythe revisedpapers.
- Presentingafutureperspective ofORdevelopmentsinthisfieldof application.
- Providingastate-of-the-
artofORuseinagricultureunderun certainty.
- Offeringanoverviewofthecommonly usedORapproachesforhandlinguncert ainty.
- Presentingmainreviewfindings.
- Suggestingfutureresearchdirections.
- Presentingacomprehensiveandst ructuredr e v i e w onrecentstudiesi nthefieldofAgri-
businessplanningmodels.
- Aimingtooptimizeagri-
freshfoodsupplychain,withafocusonlos sminimizationinthefruitsandvegetable ssupplychains.
- Suggestingdirectionsandopportuniti estoidentifytheexistingstate-of-the- art,gapsincurrentresearchandfutures tudiesonthetopic.
- Reviewingharvestingandproc essinginagriculturalsupplychain s.
-
Thefindingson76papersfoundthro ughasystematicsearch.
HoThanhPhonget.al.|
- Theresultsfind 165 thattheliteratur elacksi n t e g r a
t e d modelsthatcapturetheentirechain.
- Theauthorsalsofindthatspecificc haracteristicsareonlylimitedlytak enintoaccount.
7. Modelingthe Balajiand -
Identifying16causesoffoodwastageinthe
No Title Author Keythemesaddressed causesoffood
wastageinInd ianperishable foodsupplych ain
8. Sustainablesu pplyc h a i n net workdesign:A noptimizati on-
orientedrevie w
9. Agri-
foodsupplyc h a i n managemen t:Acomprehen sivehierarchica ldecision- makingframew orkandacritical taxonomy
10. Competitivesu pplychai nnet workdesign:An overviewof
Arshinder(
2016)
Eskandarp ouretal.
(2015)
Tsolakise tal(2014)
Farahaniet al(2014)
Indianfruitsandvegetablessupplychain.
- Modelingtheinteractionsamongth ecausesu s i n g TotalInterpretiveStr ucturalModeling(TISM)andFuzzyMI CMACapproach.
- Indicatingalargenumberofintermedia riesandlackofscientificharvestingmet hodsaresignificantcausesoffoodwasta geandastherootcauses.
- Poorlogisticsinfrastructureisatthebo ttomoft h e hierarchyofthecausesoffo odwastage.
- TISMmodelshowstheinterpretationsa mongt h e directlinksandsignificanttra nsitivelinks,inwhich89linksamongthe1 6causesaretaggedby4 5 differentinter pretations.
- Reviewing87papersinthefieldofsust ainablesupplychainnetworkdesign.
- Reviewingthepaperswhichaddressatl easttwodimensionsofsustainabledevel opment.
- AspecialfocusonLife-
CycleAssessment(LCA)basedmodels.
- Reviewingmodeling,solutiontechni quesandfieldsofapplication.
- Agri-
foodSupplyChain(AFSC)management isa rapidlyevolvingresearchfield.
- Givinganintegratedhierarchicalde cision-
m a k i n g frameworkforAFSCs.
- Offeringacriticaltaxonomyofexistingr esearchf o r designingandmanagingAF SCs.
- Defininganddiscussingthecriticalis suesfort h e designandplanningofAF SCs.
- Identifyinggapsandoverlapsinth eAFSCliterature.
- Presenting morethan200 referencesan dacategorize dreviewonlite rature.
- Coveringth efieldofsuppl ychainnetwo rkdesign(SC ND),particul arlyincompe titive
162| ICJED2017
No Title Author Keythemesaddressed classifications
,models,soluti ontechniques andapplication s
11. Agri-
freshproduces upplychainma nagement:a stateof-the- artliteraturere view
12. Futureinternet andagri-
foodsector:Sta te-of-the- artinliteraturea ndresearch
13. OR/
MSdecisionsu pportmodelsfo rthespecialty cropsindustry:
aliteraturerevi ew
14. Mathematical programming modelsforsup plyc h a i n pro ductionandtr ansportplanni ng
Shuklaa ndJhark haria(20 13)
Lehmanne al.(2012)
Zhanga ndWilh elm(20 11)
Mulaet al.
(2010)
environment.
- Providingrecentdevelopmentsinth efieldofcompetitionandthecompetiti onbetweenSCs.
- CategorizingdifferentSCNDproblem sandthepotentialgapsasthefutureres earchareas.
- Proposingageneralframeworkform odelingt h e competitiveSCNDproble ms.
- Presentingadetailedliteraturereview coveringalltheoperationalissuesrelate dtothefreshproducesupplychainmana gement(fruits,fl o w e r s andvegetabl es).- Aimingatconsumersatisfactionandrevenue maximizationwithpost‐
harvestwastereductionasasecondary objective.
- Presentingaproduct‐problem‐
methodology
mappingwhichmayserveasaframeworkf orthe
managersaddressingissuesinFSCM.
- Assuringthesuccessfulutilizatio nofthepotentialofthefutureinter net.
- Presentingthreeusescoveringagri culture,logisticsandfoodawarenes s.
- Givinganoverviewoftechnology,info rmationcontent,informationorganiza tion,andcommunication
- Providinggrowersanddistributionma nagers’insightsintothevarietyofdecis ionsupportpossibleandbenchmarksfo rimprovements.
- Achievingandprovidingacademicre searcherswithinsightsintoindustryop erationsandavisionofresearchneeds.
- Reviewingmathematicalprogrammi ngmodelsfo r supplychainproductiona ndtransportplanning.
HoThanhPhonget.al.|
- Proposingatax 163 onomyframewor kbasedonthef o l l o w i n g elements :supplychainstru cture,decisionlev el,modelingappr oach,purpose,
No Title Author Keythemesaddressed
sharedinformation,limitations,noveltya nd
application.
-
Aimingatproductionmanagementresear 15. Quality,safetya
nd
Akkermane t
-
Reviewingquantitativeoperationsmanag sustainabilityin al.(2010) approachestofooddistributionmanagem fooddistribution ent.
:a -
Mainlyfocusingonthreeaspects:foodqua reviewof foodsafety,andsustainability
quantitative operations manageme ntapproach esand
-Surveyingresearchcontributions,discu ssingthestateoftheart,andidentifyingc hallengesforf u t u r e research.
challenges
16. Applicationof Ahumadaa nd
-
Reviewingthemaincontributionsinthefie planningmodelsi
n
Villalobos productionanddistributionplanningfora theagri-food (2009) gri-foodsbasedonagriculturalcrops.
supplychain:A -
Classifyingmodels,includingusedoptimiz
review approaches,thetypeofcropsmodeledan
dthescopeoftheplans,amongmanyothers.
-
Indicatingthefuturerequirementsformo thesupplychainofagri-foods.
17. Areviewofthe Audsleyand -
Surveyinghowthingshavechangedovern practiceand Sandars 50yearsofORappliedtoAgriculture.
achievementsfr om
(2009) -
PresentingthemovementfromapplyingO 50yearsof techniqueswithsimpleanalysestousinga applyingORto ndcreatingcomplexcomputermodels.
Agricultural systemsinBritai n
-Indicatingholisticsystemsmodelingof combinationsofprocessesatthedecisi levelastheabilitytousetechniques.
18. Integratedsuppl y
Shen(2007) -
Reviewingrecentdevelopmentsintheare chaindesign integratedsupplychaindesign,inwhicht models:asurvey hedecisionmakerneedstotakeintoconsider
ation andfutureresear
ch
inventorycostsanddistributioncostswhe directions nthenumberandlocationsofthefacilitiesare
determined -
Suggestingmanyinterestingfutureresear problemsinthisarea.
No Title Author Keythemesaddressed 19. DecisionTech
nologiesforAg ribusinessPro blems:ABriefR ev iew ofSelec tedLiteraturea ndaCallforRes earch
20. Supplychain designanda nalysis:mod elsandmeth ods.
Lowea ndPrac kel(20 04)
Beam on(19 98)
- Reviewingtheliteratureonapplica tionsofdecisiontechnologytoolsfor aselectedsetofAgri-
businessproblems.
- Stimulatinginterestintheseproble msandencouragingresearchersto workonsolvingt h e m .
- Reviewingliteratureintheareaofmu ltistagesupplychaindesignandanaly sis.
- Developingaresearchagendathatma yserveasa basisforfuturesupplychainr esearch.
Table3
Decisionlevelsrepresentedbyanalyzedpapers
Author DecisionLevel
Strategic Tactical Operational
Soto-Silvaetal.(2017)
Banasiketal.(2017)
Garofaloetal.(2017)
MohammedandWang(2017)
Keizeretal.(2017)
Cataláetal.(2016)
Teccoetal.(2016)
Lamsaletal.(2016)
MirmajlesiandShafaei(2016)
Suryaningratetal.(2015)
Etemadniaetal.(2015)
Masona n d Villalobos(2015)
Zhangetal.(2015)
Govindanetal.(2014)
CaiandZhou(2014)
Lambertetal.(2014)
MunhozandMorabito(2014)
Agustinaetal.(2014)
Author DecisionLevel
Strategic Tactical Operational
Qinetal.(2014)
Soysaletal.(2014)
Velychko(2014)
Tsao(2013)
ManziniandAccorsi(2013)
Ampatzidisetal.(2013)
Teimouryetal.(2013) DuanandLiao(2013) Cataláetal.(2013) PerdanaandKusnandar(2012)
HaddadandShahwan(2012)
Amorimetal.(2012)
Yuetal.(2012)
Tanandầửmden(2012)
Banaeianetal.(2012)
Ahumadaetal.(2012)
AhumadaandVillalobos(2011a)
Rongetal.(2011)
AhumadaandVillalobos(2011b)
vanderMerweetal.(2011)
Bohleetal.(2010)
Hsiaoetal.(2010)
Verdouwetal(2010)
ArnaoutandMaatouk(2010)
VanDerVorstetal.(2009)
BlackburnandScudder(2009)
Dabbeneetal(2008)
Baietal.(2008)
Cittadinietal.(2008)
Cholette(2007)
Ferreretal.(2007)
Ortmannetal.(2006)
Author DecisionLevel
Strategic Tactical Operational
Caixeta-Filho(2006)
Blancoetal.(2005)
LevenandSegerstedt(2004)
Vitorianoetal.(2003)
HesterandCacho(2003)
Gigleretal.(2002)
Caixeta-Filhoetal.(2002)
MunhozandMorabito(2001)
Broekmeulen(1998)
Maiaetal.(1997)
Starbird(1988)
WillisandHanlon(1976)
Table4
Nomenclatureusedtoclassifythepapersaccordingtothemodellingappr oach
Modellingapproach Detail
Linearprogramming Linearprogramming(LP) Mixedinteger/
Integerlinearprogramming(ILP/MILP) Non-linearprogramming Non-linearprogramming(NIP)
Mixedinteger/Integernon- linearprogramming(INLP/MINLP) Multi-objectivelinearprogramming Multi-
objectivelinearprogramming(MOLP) Multi-
objectiveintegerlinearprogramming(
MOILP)
Multi-objectivenon-
linearprogramming(MOLNP) Multi-objectivenon-
linearintegerprogramming(MOILNP)
Bi-objective Integerprogramming
Bi-
objectiveInteger
programming
Simulationmodels Simulationmodels(SM) DynamicProgramming DynamicProgramming(DP)
Modellingapproach Detail
Stochasticoptimisation Stochasticoptimisation
Heurısticsalgorithmsandmeta-heurıstics Heurısticsalgorithmsandmeta- heurıstics
(HEU)
Hybridmodels(HYB)
GoalProgramming GoalProgramming(GP)
Fuzzyprogramming Fuzzymathematicalprogramming Table5
Operationalresearchanddecisionsupportmodelsforagri-freshproduce
Author Methodology
Soto-Silvaetal(2017) Optimizationmodelsandabi- objectivemethodBanasiketal(2017) Multi-
objectiveintegerlinearprogramming MohammedandW
ang(2017)
Fuzzymulti-objectiveprogrammingmodel(FMOPM) Garofaloetal(2017)
LifeCycleAssessmentanalysisKeizeretal(2017) Mixedintegerlinearprogramming
Cataláetal(2016) Multi-periodmixedintegerlinearprogramming Teccoetal(2016)
Lifecycle(LCA)assessmentandasociallifecycleassessment (s-LCA)
Lamsaletal(2016) Integerprogramming MirmajlesiandSh
afaei(2016)
Mixedintegernonlinearprogrammingmodel.
Suryaningratetal.(2015) Samplingmethod Etemadniaetal.(2015)
Mixedintegerlinearprogramming(MILP)andaheuristic solution
Masona n d Villalobos(2015) Informationdiscoveryandawell- structuredcontractallocationmethodolog y
Zhangetal.(2015) AStackelberggame Govindanetal.(2014) Anovelmulti-
objectivehybridapproachcalledMHPVCaiandZhou(2014) Optimalpolicies
Lambertetal.(2014)
InnovativestrategiesandAnExpertSystem(ES)usingFuzzy Logic
MunhozandMorabito(2014)
Analgebraicmodellinglanguageandanoptimizatio nsoftwareo f mathematicalprogramming
Author Methodology
Qinetal.(2014) Theoptimalsolutionofthepricingandlot- sizingproblemAgustinaetal.(2014) Cross-dockingcentre Soysaletal.(2014) Multi-
objectivelinearprogramming(MOLP)Velychko(2014) Integerlinearprogramming ManziniandAccorsi(2013)
AgeneralandconceptualframeworkTsao(2013) NonlinearProgramming Ampatzidisetal.(2013) Simulationmodel
Teimouryetal.(2013)
SimulationmodelanddynamicprogrammingDuanandLiao(20 13) Asimulationoptimizationframework Cataláetal.(2013) Integerlinearprogramming
PerdanaandKusna ndar(2012)
HaddadandShahw an(2012)
TheTripleHelixModel
TargetMinimizationofTotalAbsoluteDeviation (MOTAD)m o d e l
Amorimetal.(2012) Amulti-
objectivelinearprogrammingYuetal.(2012) Non- linearprogramming
Tanandầửmden(2012) Aplanningmethodology Banaeianetal.(2012)
Anonparametricmethod,dataenvelopmentanalysis(DEA), integerlinearprogramming modelAhumadaetal.(2012) Atwo-
stagestochasticprogram AhumadaandVillal obos(2011a)
Integerlinearprogrammingmodel
Rongetal(2011) Mixed-integerlinearprogrammingmodel AhumadaandVillal
obos(2011b)
Mixedintegerprogrammingmodel vanderMerweetal.(2011)
Integerlinearprogramming;Heurısticsalgorithmsandmeta- heurıstics
Bohleetal.(2010)
IntegerlinearprogrammingandStochasticoptimisationH s i a o etal.
(2010) Logisticsserviceperformance Verdouwetal(2010) Areferencemodel
ArnaoutandMaatouk(2010)
Integerlinearprogramming;Heurısticsalgorithmsandmeta- heurıstics
VanDerVorstetal.(2009)
SimulationmodelBlackburnandScudde
r Hybridmodels
Author Methodology (2009)
Dabbeneetal(2008) Hybridmodel
Baietal.(2008) Heurısticsalgorithmsandmeta- heurıstics;HybridmodelsCittadinietal.(2008) Multi- objectivelinearprogramming
Cholette(2007) Integerlinearprogrammingmodel Ferreretal.(2007)
IntegerlinearprogrammingandHeurısticsalgorithmsand meta-
heurıstics Ortmannetal.(2006)
IntegerlinearprogrammingCaixeta- Filho(2006)
IntegerlinearprogrammingBlancoetal.(2005) Integerlinearprogramming
LevenandSegerstedt(2004) Heurısticsalgorithmsandmeta-heurıstics Vitorianoetal.(2003) IntegerlinearprogrammingmodelandHybridmodels
HesterandCacho(2003) Non-
linearprogrammingandHeurısticsalgorithmsandmeta- heurıstics(Bioeconomicalmodels) Gigleretal.(2002)
DynamicProgrammingCaixeta-Filhoetal.
(2002)
Linearprogramming
MunhozandMorabito(2001) Multi-
objectivelinearprogrammingB r o e k m e u l e n (1998) HeurısticsalgorithmsandsimulationmodelMaiaetal.(1997)
Integerlinearprogrammingmodel Starbird(1988)
DynamicProgrammingWillisandHanlon(1976 )
DynamicProgramming
170|
ICJED2017
Table8
Applicabilityofthereviewedpapers
Author Country Casestu
dy/Realcase /N on e
Crops
Soto-Silvaetal(2017) Chile Realcase Apple Banasiketal(2017) Netherlan
d
Realcase Mushroom MohammedandWang(
2017) UK Casestudy Meat
Garofaloetal(2017) Italy Realcase Tomato Keizeretal(2017) Netherlan
ds
Casestudy Floricultural Cataláetal(2016) Argentine Casestudy Pomefruit Teccoetal(2016) Italy Casestudy Raspberry Lamsaletal(2016) Unite
dSta tes
Realcase Sugarcane,sugarbeet,an dvegetable
MirmajlesiandShafaei
(2016) Iran None DairyIndustry
Suryaningratetal(201 5)
Indonesia Realcase Cassava
Etemadniaetal.(2015) US Realcase Fruitandvegetable Masona n d Villalobos
(2015) US Casestudy Broccoli,iceberglettuce,r omainelettuceandcaulifl Zhangetal.(2015) China Realcase owerDeterioratingitems(fruit
s,vegetables,blood,fashi ongoo ds…)
Govindanetal.(2014) US None Perishablefood CaiandZhou(2014) HongKong Realcase Freshfood Lambertetal.(2014) Mexico Casestudy Persianlime MunhozandMorabito(
2014) Brazil Casestudy Citrus
Qinetal.(2014) China Realcase Vegetables,
strawberries,andlitchi
Agustinaetal.(2014) US None Food
Soysaletal.(2014) Brazil Realcase Beef Velychko(2014) Ukraine None Fruit ManziniandAccorsi(20
13)
Italy Casestudy Food
Author Country Casestudy/
Realcase/
No n e
Crops
Tsao(2013) Taiwan None Agriculturalproducts Ampatzidisetal.(2013) Greece,US Realcase Grape,sweetcherry Teimouryetal.(2013) Iran Casestudy Fruitandvegetable DuanandLiao(2013) US None Perishable
Cataláetal.(2013) Argentina Realcase Apple-Pear PerdanaandKusnanda
r(2012) Indonesia Casestudy Fruitandvegetable HaddadandShahwan
(2012) Jordan Realcase FruitandVegetable
Amorimetal.(2012) Portugal Casestudy Fruit
Yuetal.(2012) China None Fruit
Tanandầửmden(2012 )
Turkey None FruitandVegetable Banaeianetal.(2012) Iran Realcase Strawberries Ahumadaetal.(2012) US Casestudy Tomato AhumadaandVillalob
os(2011a) US Casestudy Tomato
Rongetal(2011) Denmark Casestudy Pepper AhumadaandVillalob
os(2011b) Mexico Casestudy Tomato
vanderMerweetal.
(2011)
SouthAfric a
Casestudy Wine Bohleetal.(2010) Chile Realcase Grape Hsiaoetal.(2010) Netherlan
ds
Realcase Food Verdouwetal(2010) Europe
ancoun tries
Casestudy Fruit ArnaoutandMaatouk(
2010) Lebanon Realcase Grape
VanDerVorstetal.
(2009)
Netherlan ds
Casestudy Pineapple BlackburnandScudde
r(2009) US Realcase Melonandsweetcorn
Dabbeneetal(2008) Italy None Freshfood
Baietal.(2008) UK None Fruit
Cittadinietal.(2008) Argentina Realcase Cherry
172| ICJED2017
Author Country Casestudy/
Realcase/
No n e
Crops
Cholette(2007) US Realcase Wine
Ferreretal.(2007) Chile Realcase Grape Ortmannetal.(2006) SouthAfric
a
Realcase Fruit Caixeta-Filho(2006) Brazil Realcase Orange Blancoetal.(2005) Argentina Realcase Apple-Pear LevenandSegerstedt(
2004) US Realcase FrozenBerries
Vitorianoetal.(2003) Spain Realcase Grape HesterandCacho(20
03)
Australia Realcase Apple Gigleretal.(2002) Netherlan
ds
Casestudy Banana Caixeta-Filhoetal.
(2002)
Brazil Realcase Lilyflower MunhozandMorabito(
2001) Brazil Realcase Orange-juice
Broekmeulen(1998) Netherlan ds
Casestudy Fruits Maiaetal.(1997) Brazil Realcase Banana
Starbird(1988) US Realcase Apples
WillisandHanlon(1976 )
US Realcase Fruit
Table9
PerformanceIndicatorsadaptedfromAramyanetal.,2006 Performancemeasurement
Efficiency(E) Cost
- Productionc ost
- Distribution cost
- Transaction costProfit Returno ninvest mentInv entory
- Warehousin g
- Capital - Storage - Insurance
Flexibility (F)Custo mersatisf action - Pre-
transaction - Transaction - Post-
transactionV olumeflexibilit yDeliveryflexi bilityN u m b e r of
- Backorders - Lostsales - Lateorders
Responsivene ss(R)Fillrate Productlatene ssCustomerres ponsetime Lead-
timeShipping errors
Foodquality(
Q)Productqu ality
- Sensoryprope rtiesandshelflif e
- Productsafety andhealth - Productreliab ilityandconveni enceProcessqu ality
- Productionsystem - Environme
ntalaspects - Marketing Table10
Measuredperformanceofthereviewedpapers Author PerformanceMeasurementsused
Soto-Silvaetal.(2017) Anaveragereductionof8%intotalcostisachieved.
Banasiketal.(2017)
Thecostofimprovingenvironmentalsustainabilityinmushroom
chainisestimated.Closedloopsinamushroomproduc tioncany i e l d greatsustainabilitygains.
Garofaloetal.(2017)
Compostingofwasteandcompostasfertilizerimprovethe
environmentalperformanceofthesupply-chain.
MohammedandW ang(2017)
Minimizethetotalcost
Keizeretal.(2017) Changingproductqualitydecayratesaffectsthelevelof postponement.
Cataláetal.(2016)
Coldstorageinfrastructureplaysakeyroleintheperformanceof thesystem.
Teccoetal.(2016)
Theinnovationstrategyproducesenviron mentalandsocioeconomictrade-off.
Lamsaletal.(2016)
Themovementofthecropfromfarmstoprocessingplants
A revenue sharing and cooperative investment contract coordinates the supply chain
Author PerformanceMeasurementsused satisfyingtwoconditions:
(1)therearemultiple,independentproducers(farm ers),and(2)nosignificanton-farmstorageexists.
MirmajlesiandSh afaei(2016)
Effectivenessofmodel:theprofitismaximized Suryaningratetal.(2015)
Thedetailsofflowofmaterial,financialandinformationare
identifiedinthisresearchandaddedvalueofselected productsofcassava.
Etemadniaetal.(2015) Thereisalwaysatrade- offbetweentransportationcostsand
fixedcostsofbuildinghubcapacity.
Masona n d Villal obos(2015)
Zhangetal.
(2015)
Theissueofcoordinatingproductionofperishablesp ecialtyc r o p s underdecentralizedcontrolandinco mpleteinformation.Farmers canbecoordinatedde spiteinformationasymmetryandcompetitivebeha viour.
Govindanetal.(2014)
Reducescostscausedbycarbonfootprintandgreenhousegas emissionsthroughoutthenet
work.
CaiandZhou(2014) Theoptimalstarttimesandprocessingsequence Lambertetal.(2014)
Anincreaseinproductionyieldandfruitqualityintheorchard.
MunhozandMora bito(2014)
Theblendingprocessofdifferenttypesofjuicestomatc hproductspecifications,forexample,usingorangeaci ditytocalculatether a t i o specification
Agustinaetal.(2014)
Fooddistributionefficiency,andinsupportingfooddistributors inprovidingbetterdeliveryservicefortime- sensitiveitemsatlowestlogisticscosts.
Qinetal.(2014)
Thedeteriorationrateofqualityandphysicalquantityistakento betimeproportional.
Soysaletal.(2014)
ChangeinfuelefficiencyoftrucksresultsinshiftsofthePareto
frontierwithincreaseinlogisticscostandemissions.
Velychko(2014) Theminimizationofcostsofcooperativeservicesand maximizationofprofitsformembersofthecooperati onhasbeenprocessed.
ManziniandAcc orsi(2013)
Controlofquality(1),safety(2),sustainability(3)andl ogisticsefficiency(4)offoodproductsandprocessesal ongthewholeFSC“ f r o m farmtofork”.
Author PerformanceMeasurementsused Tsao(2013)
Maximizethetotalprofittoaddresstheintegrate dfacilitylocation,inventoryallocation,andfresh ness-keepingeffortproblems.
Ampatzidisetal.(2013)
Systemperformanceunderdifferentnumbersofbincarriers(or
pickers)andloadingstationsisevaluatedtowardsred ucingcostsandmaintainingproductquality.
Teimouryetal.(2013) Keyconclusionsarereachedonhowtoconductthemulti- objectiveanalysiswiththeaimofimportquotapolicy makingandtobepricemean,pricevariationandmar k-up.
DuanandLiao(2013)
ItdevelopscentralizedanddecentralizedmodelsforaSCof highlyperishable.
Cataláetal.(2013)
Themodelcouldbeusedeitherbygovernmentalagenciesto
adviseprivatesectorsandtodevelopstrategicecon omicpolicieso r bycompaniestooptimizethebusine ssprofit.
PerdanaandKusna ndar(2012)
HaddadandShahw an(2012)
Multi-
stakeholdersinteractionopenstheopportunityforFF Vf a r m e r s togetinvolvedinsupplychainsofexport markets.Institutionalinnovationhasaroleasariskre ducerthatprovidessupportingservicestofarmersin ordertomeetexportmarketdemand.
CropsbehaviourunderriskconditioninJordanValleydi ffersaccordingtotheriskassociatedwithproductionp rocess,bothforseasonandamountofwateravailablef orirrigationwherethei m p a c t ofwaterreductioniso bviousinwinter(spring)farmingseason.
Amorimetal.(2012) Theeconomicbenefitsderivedfromusinganintegrated approacharemuchdependentonthefreshnesslevel ofproductsdelivered.
Yuetal.(2012)
Thedeterioratingrateoftheproductmayincreasethetotalcost
bymorethan40%comparedtothezero-
deterioratingrate,whilethedeterioratingrawmater ialhaslessimpactonthetotalc o s t .
Tanandầửmden(2012)
Theproposedmethodologymatchesrandomsupplyandrandom
demandinaveryeffectivewayandimprovestheexpe ctedprofitsubstantiallycomparedtotheplanningap proacheswheretheuncertaintiesarenottakenintoc onsideration.
Banaeianetal.(2012) Dataenvelopmentanalysisisapivotaltoolforanalyzing
Author PerformanceMeasurementsused
productiveefficiencyofagriculturalunits.
Ahumadaetal.(2012) Forthesamelevelofriskexperimentedbytheproducer, planningbasedontheproposedstochasticmodelsre nderedincreasesexpectedprofittoover50%.Atthes ametimewhenriskaversionpoliciesareimplemente d,theexpectedlossesdecreasedsignificantlyoverth oserecommendedbydeterministicplanningmodels.
AhumadaandVillal obos(2011a)
Significantsavingscanbeobtainedbymanagingthe trade-
offoft h e freshnessatthedeliveryoftheproducewit htheaddedlabourandtransportationcostatthegro wer'sside.Moreover,dynamic,information-
basedmanagementpracticesmightbepreferredove rtraditionalpracticesbasedinfixedlabourallocation anddistributionpractices.
Rongetal.(2011)
Designandoperatefooddistributionsystems,usingbothfood qualityandcostcriteria.
AhumadaandVillal obos(2011b) vanderMerweet al.(2011)
Maximizetherevenuesofaproducerthathassomecon trolovert h e logisticsdecisionsassociatedwiththedis tributionofthecrop.Selectsthebestpossibledatestoh arvesttherespectivevineyardblocksinordertopreser vegrapequality
Bohleetal.(2010)
TheactualproductivitythatcanbeachievedwhenharvestingH s i a o etal .(2010)
Outsourcinghasnodirectimpactonserviceperformance (deliveryreliability,flexibilityandlead- time)inanyofthefour
levels.However,theperformancewhenoutsourcing level4activitiesincreaseswithanincreasingdegree ofdemandcomplexity.Furthermore,chilledfoodsha vehigherserviceperformancethannon-chilledfoods.
Verdouwetal(2010)
Thedevelopedreferencemodelbridgesthegapbetweensupply
chaindesignandinformationsystemsengineeringb yprovidinga consistentsetofprocessmodels,aime datthegrowingimportanceofhealthinconsumption ofEuropeanfruitdemand.
ArnaoutandMaat ouk(2010)
VanDerVorstet al.(2009)
Significantlyreducetheharvestingcostsintheviney ardandconsiderablyoutperformsBranchandBounda lgorithmespeciallyforlargeproblems
Foodqualitychangemodelsandsustainabilityindic atorsindiscreteeventsimulationmodels
BlackburnandScudder
Theappropriatemodeltominimizelostvalueinthesupplychain
Author PerformanceMeasurementsused
(2009) isahybridofaresponsivemodelfrompost-
harvesttocooling,followed byanefficientmodeli ntheremainderofthechain
Dabbeneetal(2008)
Theperformanceofthesupplychain,expressedintermsofboth
logisticscostsandfinalproductqualitytoassurethef easibilityoft h e proposedoptimalsolutions.
Baietal.(2008)
Thesegreedyheuristicsaremuchmoreefficientandprovide competitiveresults.
Cittadinietal.(2008)
Valueofcumulativefinancialresultandthecumulativefarm
labourareconflictingtoaverylimitedextent.Timing andf e a s i b i l i t y ofimplementingcertaincombinati onsofproductiontechnologiesareaffectedbyresour ceendowmentsandinitialc o n d i t i o n s , butthes efactorsdonotinfluencelanduseselectioninthelong term.
Cholette(2007)
Theprogramintroducesatleastonewineryandacorresponding distributorwhohasformedaprofitable,long- termpartnership.
Ferreretal.(2007)
Supportgrapeharvestplanninginalargevineyardinharvest
scheduling,labourallocation,androutingdecisions.
Ortmannetal.(2006)
Thesemodelsaresolvedfortwoextremeseasonalexport
scenariosandthesolutionsshowthatnoexportinfras tructureexpansionisrequiredinthenearfuture.
Caixeta-Filho(2006)
Theestimatedpotentialbenefits($)fromusingthe proposedm o d e l reachedfiguresover6%.
Blancoetal.(2005)
Estimatethefruitprocessingcapacityofthefacilityinorderto establishfuturesalespolicies LevenandSeger
stedt(2004) Requiremorestoragefacilitiesanditisalsorecomme ndedthatt h e locationshouldbebasedonload- distanceanalysis.
Vitorianoetal.(2003) Thefirstmodelsplitsthetimeintodiscreteunitsspread throughouttheplanninghorizon;itispresentedinco nnectionwithflexiblemanufacturing.Thesecondm odelkeepsacontinuoustimehorizon;aschedulingm odelisusedforwhichaf a m i l y ofincompatibilityco nditionsisintroducedtoavoidacertaintypeofsimult aneoususageofresources.
HesterandCacho(2003)
Maximisenetpresentvalueofoneorchardsystembyselecting
optimalthinningstrategiesovera15-yearperiod Gigleretal.(2002)
Theconstructionofoptimalroutesdefiningwhichactorsinthe
chainshouldperformwhichactionsatwhichprocesscon ditions
Author PerformanceMeasurementsused atminimumintegralcosts.
Caixeta-Filhoetal.(2002)
Between1999and2000,companyrevenuegrew26%,sales
increased14.8%forpotsofliliesand29.3%forbunch esoflilies,c o s t s fellfrom87.9to84.7%ofsales,inco mefromoperationsi n c r e a s e d 60%,returnonown er'sequitywentfrom15.1to22.5%,andbestqualityc utliliesjumpedfrom11to61%ofthequantitiessold.T hesystemalsosuggestedchangesintheproductmix.
MunhozandMora bito(2001)
Theimportanceofblendingdecisionsforthelogistica nalysisoft h e orangejuicedistribution,besidestran sportationandstoragedecisions.
Broekmeulen(1998)
Theseasonalfluctuationsinproductionanddemandandthe
needforspecialstorageconditionsfordifferentproduc ts.Thee ff e c t oftheassignmentplanonseveralstora gepolicieswase x a m i n e d withasimulationmodelof theoperationsinthedistributioncentre.
Maiaetal.(1997)
Optimizecapitalinvestmentinfoodpreservationfacilitiesunder
uncertainties,basedonalternativeroutesandasetofc ropandmarketscenarios.
Starbird(1988)
Minimizethisdelaybyidentifyingtheoptimalorderinwhich storagefacilitiesshouldbeloaded.
WillisandHanlon(1976)
Minimumacceptablefamilylivingexpensesandmaximum acceptableriskinlexicographicfashion.
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