允许取送交叉和中途接单的外卖配送路径优化-豆柴文库

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允许取送交叉和中途接单的外卖配送路径优化
Title:OptimizingFoodDeliveryRoutesforCross-PickupandMidwayPickupOrders
Introduction:
Thefooddeliveryindustryhaswitnessedexponentialgrowthinrecentyears,drivenbytheriseofonlineorderingplatformsandchangingconsumerpreferences.Asthedemandforfooddeliverycontinuestosoar,optimizingdeliveryroutesbecomescrucialforensuringefficientandcost-effectiveservices.Inthispaper,weaddressthechallengeofoptimizingfooddeliveryroutesforcross-pickupandmidwaypickuporders.Cross-pickupreferstocollectingmultipleordersfromdifferentrestaurantsinasingletrip,whilemidwaypickupinvolvespickingupadditionalordersonthewaytodeliveringthecurrentorder.
1.ProblemStatement:
Theprimaryobjectiveofthisstudyistodeveloparoutingoptimizationalgorithmthatminimizesdeliverytimeandcostwhileaccommodatingcross-pickupandmidwaypickuporders.Theproblemcanbeformulatedasavehicleroutingproblem(VRP)withadditionalconstraintsspecifictofooddeliveryservices.Theoptimizationalgorithmshouldconsidervariousfactors,includingdistance,trafficconditions,deliverywindows,rideravailability,andorderpriorities.
2.LiteratureReview:
Theexistingliteratureonrouteoptimizationindeliveryservicespredominantlyfocusesontraditionalsettingswhereordersarepickedupfromasinglerestaurantanddelivereddirectlytothecustomer.Afewrecentstudieshaveaddressedthechallengesofcross-pickupandmidwaypickup,butthereisstilllimitedresearchinthisarea.SomestudieshaveproposedheuristicormetaheuristicalgorithmstosolveVRPvariantswithadditionalconstraints,buttheirapplicationinthefooddeliverycontextisrelativelyunexplored.
3.Methodology:
Toaddresstheoptimizationproblem,weproposeatwo-stepapproach.Inthefirststep,weapplyaclusteringalgorithmtogroupordersbasedonspatialproximity.Thisstephelpsidentifypotentialcross-pickupordersbyefficientlycombiningordersthatcanbepickedupfromnearbyrestaurants.Inthesecondstep,wedevelopahybridalgorithmthatcombinesmetaheuristictechniquessuchasgeneticalgorithmsorsimulatedannealingwithlocalsearchalgorithmstooptimizedeliveryroutesconsideringfactorssuc