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A GRANULAR TABU SEARCH ALGORITHM FOR A REAL CASE STUDY OF A VEHICLE ROUTTING PROBLEM WITH A HETEROGENEOUS FLEET AND TIME WINDOWS

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dc.creatorRODRIGO CARLOS EUGENIO LINFATI MEDINA
dc.date2017
dc.date.accessioned2025-01-10T14:54:23Z
dc.date.available2025-01-10T14:54:23Z
dc.date.issued2017
dc.description.abstractPURPOSE: WE CONSIDER A REAL CASE STUDY OF A VEHICLE ROUTING PROBLEM WITH A HETEROGENEOUS FLEET AND TIME WINDOWS (HFVRPTW) FOR A FRANCHISE COMPANY BOTTLING COCA-COLA PRODUCTS IN COLOMBIA. THIS STUDY AIMS TO DETERMINE THE ROUTES TO BE PERFORMED TO FULFILL THE DEMAND OF THE CUSTOMERS BY USING A HETEROGENEOUS FLEET AND CONSIDERING SOFT TIME WINDOWS. THE OBJECTIVE IS TO MINIMIZE THE DISTANCE TRAVELED BY THE PERFORMED ROUTES. DESIGN/METHODOLOGY/APPROACH: WE PROPOSE A TWO-PHASE HEURISTIC ALGORITHM. IN THE PROPOSED APPROACH, AFTER AN INITIAL PHASE (FIRST PHASE), A GRANULAR TABU SEARCH IS APPLIED DURING THE IMPROVEMENT PHASE (SECOND PHASE). TWO ADDITIONAL PROCEDURES ARE CONSIDERED TO HELP THAT THE ALGORITHM COULD ESCAPE FROM LOCAL OPTIMUM, GIVEN THAT DURING A GIVEN NUMBER OF ITERATIONS THERE HAS BEEN NO IMPROVEMENT. FINDINGS: COMPUTATIONAL EXPERIMENTS ON REAL INSTANCES SHOW THAT THE PROPOSED ALGORITHM IS ABLE TO OBTAIN HIGH-QUALITY SOLUTIONS WITHIN A SHORT COMPUTING TIME COMPARED TO THE RESULTS FOUND BY THE SOFTWARE THAT THE COMPANY CURRENTLY USES TO PLAN THE DAILY ROUTES. ORIGINALITY/VALUE: WE PROPOSE A NOVEL METAHEURISTIC ALGORITHM FOR SOLVING A REAL ROUTING PROBLEM BY CONSIDERING HETEROGENEOUS FLEET AND TIME WINDOWS. THE EFFICIENCY OF THE PROPOSED APPROACH HAS BEEN TESTED ON REAL INSTANCES, AND THE COMPUTATIONAL EXPERIMENTS SHOWN ITS APPLICABILITY AND PERFORMANCE FOR SOLVING NP-HARD PROBLEMS RELATED WITH ROUTING PROBLEMS WITH SIMILAR CHARACTERISTICS. THE PROPOSED ALGORITHM WAS ABLE TO IMPROVE SOME OF THE CURRENT SOLUTIONS APPLIED BY THE COMPANY BY REDUCING THE ROUTE LENGTH AND THE NUMBER OF VEHICLES.
dc.formatapplication/pdf
dc.identifier.doi10.3926/jiem.2159
dc.identifier.issn2013-8423
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/9491
dc.languagespa
dc.publisherJOURNAL OF INDUSTRIAL ENGINEERING AND MANAGEMENT-JIEM
dc.relation.uri10.3926/jiem.2159
dc.rightsPUBLICADA
dc.titleA GRANULAR TABU SEARCH ALGORITHM FOR A REAL CASE STUDY OF A VEHICLE ROUTTING PROBLEM WITH A HETEROGENEOUS FLEET AND TIME WINDOWS
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE INGENIERIA INDUSTRIAL
ubb.SedeCONCEPCIÓN
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