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[{"key": "dc.contributor.advisor", "value": "Terziyan, Vagan", "language": null, "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Tahir, Muhammad Adeel", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2024-05-30T05:34:38Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2024-05-30T05:34:38Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2024", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/95343", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "T\u00e4m\u00e4 opinn\u00e4ytety\u00f6 laajentaa suomalaisen kuljetusyrityksen logistisia tarpeita, jotka lupaavat asiakkailleen yhden p\u00e4iv\u00e4n toimituksen. Reitin suunnittelu ja rahdin jakelu on ollut suunnittelijoille ty\u00f6valtainen teht\u00e4v\u00e4, sill\u00e4 suunnitelmaa rakennetaan eri puolilta Eurooppaa Helsingin satamaan ja jatketaan rekoilla maanteitse. T\u00e4m\u00e4n opinn\u00e4ytety\u00f6n p\u00e4\u00e4tavoitteena on automatisoida t\u00e4m\u00e4 suunnitteluprosessi v\u00e4hent\u00e4m\u00e4ll\u00e4 k\u00e4sity\u00f6t\u00e4 ja k\u00e4ytt\u00e4m\u00e4ll\u00e4 ML/AI- tekniikoita j\u00e4rjestelm\u00e4n tehostamiseksi mukautuvammaksi ja muuttuvammaksi.\nHistoriallisia tietoja ker\u00e4t\u00e4\u00e4n luomalla ORM ei-relaatiotietokannan ymp\u00e4rille t\u00e4rkeiden tietojen poimimiseksi, joita tarvitsemme aiempien vuorovaikutusten visualisoimiseksi ja automaatiosuunnitelman laatimiseksi. OpenStreetMaps ja mukautettu lastinjakoalgoritmi on muotoiltu toimimaan yhten\u00e4isell\u00e4 tavalla. Lastin jakaminen kontteihin on yhdistetty reittisuunnitelmaan, jolla l\u00e4mp\u00f6tilaherk\u00e4t tuotteet jakautuvat oikein. Kuljetussuunnittelijat saavat graafisen k\u00e4ytt\u00f6liittym\u00e4n vuorovaikutukseen suunnitelman kanssa ja siihen oleellisten muutosten tekemiseen. Suunnitelma tallennetaan ja k\u00e4sitell\u00e4\u00e4n koneoppimis- ja teko\u00e4lyalgoritmin kouluttamiseksi. Deep Q-Networki\u00e4 k\u00e4ytet\u00e4\u00e4n piilotettujen parametrien k\u00e4sittelemiseen iteratiivisessa takaisinkytkent\u00e4silmukassa painojen integroimiseksi takaisin optimoituun j\u00e4rjestelm\u00e4\u00e4n.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "This thesis expands on the logistic needs of the Finnish transportation company that prom- ises their client single day delivery. Route planning and Cargo distribution has been a labor- intensive task for the planners as a plan is constructed from all over Europe to Helsinki harbor and continuing on truck by road. The main objective of this thesis is to automate this process of planning by reducing manual labor and use ML/AI techniques to enhance the system to be more adaptive and resilient to the changes.\nHistorical data is collected from creating an ORM around the non-relational database to ex- tract essential information we need to visualize the past interactions and devise a plan for automation. OpenStreetMaps and custom cargo distribution algorithm is formulated to work in a unified manner. Cargo allocation into the containers is coupled with a route plan to properly distribute the temperature sensitive products. Transport planners are provided with a graphical user-interface to interact with the plan and make essential changes to it, which is being stored and processed to train the machine learning and artificial intelligence algorithm. Deep Q-Network is used to handle hidden parameters in an iterative feedback loop to inte- grate weights back into the optimized system.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by jyx lomake-julkaisija (jyx-julkaisija.group@korppi.jyu.fi) on 2024-05-30T05:34:38Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2024-05-30T05:34:38Z (GMT). No. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "51", "language": null, "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "CC BY 4.0", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.title", "value": "Revolutionizing International Cargo Transportation: A Data-Driven Strategy for Fleet Management Optimization and Workforce Efficiency", "language": null, "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202405304106", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Mathematical Information Technology", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietotekniikka", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.copyright", "value": "\u00a9 The Author(s)", "language": null, "element": "rights", "qualifier": "copyright", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://creativecommons.org/licenses/by/4.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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