Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.1805
DC FieldValueLanguage
dc.contributor.authorTimperio, Giuseppe-
dc.contributor.authorde Souza, Robert-
dc.contributor.authorBernado, Boy Panjaitan-
dc.contributor.authorSakhuja, Sumit-
dc.contributor.authorSunardhi, Yoseph-
dc.contributor.editorKersten, Wolfgangde_DE
dc.contributor.editorBlecker, Thorstende_DE
dc.contributor.editorRingle, Christian M.de_DE
dc.date.accessioned2018-11-14T06:58:25Z-
dc.date.available2018-11-14T06:58:25Z-
dc.date.issued2018-09-13-
dc.identifier.isbn978-3-746765-35-8de_DE
dc.identifier.issn2365-5070de_DE
dc.identifier.urihttp://tubdok.tub.tuhh.de/handle/11420/1808-
dc.description.abstractIn a business context characterized by increased competition due to digital transformation and technological breakthroughs, massive penetration of online purchasing, greater customers’ expectations and switch of manufacturing paradigms, the role of logistics has become today more critical to firms than ever before. One critical initiative that logistics providers can undertake in order to gain a truly competitive edge is to optimally seize and utilize key resources such as storage and transportation assets. This paper is an effort in that direction and proposes a decision support framework to design a cost effective supply network in the last leg of deliveries. A case study based approach about a postal service provider in Southeast Asia is presented to showcase the applicability of the proposed framework. By leveraging on the integration of data analytics, network optimization and simulation, this work highlights the advantages of adopting a holistic approach to decision making for the used case. Results show that number of storage facilities, and their locations, affect speed and cost-effectiveness of last mile distribution. For the case at hand, 18% of savings in transportation and warehousing cost with no impact on service level can be achieved by reducing the number of facilities in the network from 9 to 4. By reading the present paper, decision makers will gain insights on how to address challenges related with supply network design, transportation costs reduction and optimization of overstretched transportation routes.en
dc.language.isoende_DE
dc.publisherepublide_DE
dc.rightsCC BY-SA 4.0de_DE
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.subjectNetwork Designde_DE
dc.subjectNetwork Optimizationde_DE
dc.subjectLast Mile Logisticsde_DE
dc.subjectTransportation Optimizationde_DE
dc.subject.ddc330: Wirtschaftde_DE
dc.subject.ddc380: Handel, Kommunikation, Verkehrde_DE
dc.titleMulti-method decision support framework for supply network designde_DE
dc.typeinProceedingsde_DE
dc.identifier.urnurn:nbn:de:gbv:830-88223461-
dc.identifier.doi10.15480/882.1805-
dc.type.dinicontributionToPeriodical-
dc.subject.ddccode380-
dc.subject.ddccode330-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-88223461de_DE
tuhh.oai.showtrue-
dc.identifier.hdl11420/1808-
tuhh.abstract.englishIn a business context characterized by increased competition due to digital transformation and technological breakthroughs, massive penetration of online purchasing, greater customers’ expectations and switch of manufacturing paradigms, the role of logistics has become today more critical to firms than ever before. One critical initiative that logistics providers can undertake in order to gain a truly competitive edge is to optimally seize and utilize key resources such as storage and transportation assets. This paper is an effort in that direction and proposes a decision support framework to design a cost effective supply network in the last leg of deliveries. A case study based approach about a postal service provider in Southeast Asia is presented to showcase the applicability of the proposed framework. By leveraging on the integration of data analytics, network optimization and simulation, this work highlights the advantages of adopting a holistic approach to decision making for the used case. Results show that number of storage facilities, and their locations, affect speed and cost-effectiveness of last mile distribution. For the case at hand, 18% of savings in transportation and warehousing cost with no impact on service level can be achieved by reducing the number of facilities in the network from 9 to 4. By reading the present paper, decision makers will gain insights on how to address challenges related with supply network design, transportation costs reduction and optimization of overstretched transportation routes.de_DE
tuhh.publisher.urlhttps://www.epubli.de/shop/buch/78929-
tuhh.publication.instituteLogistik und Unternehmensführung W-2de_DE
tuhh.publication.institutePersonalwirtschaft und Arbeitsorganisation W-9de_DE
tuhh.identifier.doi10.15480/882.1805-
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
tuhh.institute.germanPersonalwirtschaft und Arbeitsorganisation W-9de
tuhh.institute.englishPersonalwirtschaft und Arbeitsorganisation W-9de_DE
tuhh.gvk.hasppnfalse-
tuhh.hasurnfalse-
openaire.rightsinfo:eu-repo/semantics/openAccessde_DE
dc.type.drivercontributionToPeriodical-
dc.rights.ccby-sade_DE
dc.rights.ccversion4.0de_DE
dc.type.casraiConference Paper-
tuhh.container.startpage197de_DE
tuhh.container.endpage219de_DE
dc.relation.conferenceHamburg International Conference of Logistics (HICL) 2018de_DE
dc.rights.nationallicensefalsede_DE
tuhh.relation.ispartofseriesProceedings of the Hamburg International Conference of Logistics (HICL)de_DE
tuhh.relation.ispartofseriesnumber25de_DE
item.languageiso639-1other-
item.tuhhseriesidProceedings of the Hamburg International Conference of Logistics (HICL)-
item.fulltextWith Fulltext-
item.creatorGNDTimperio, Giuseppe-
item.creatorGNDde Souza, Robert-
item.creatorGNDBernado, Boy Panjaitan-
item.creatorGNDSakhuja, Sumit-
item.creatorGNDSunardhi, Yoseph-
item.grantfulltextopen-
item.creatorOrcidTimperio, Giuseppe-
item.creatorOrcidde Souza, Robert-
item.creatorOrcidBernado, Boy Panjaitan-
item.creatorOrcidSakhuja, Sumit-
item.creatorOrcidSunardhi, Yoseph-
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