{"id":"https://openalex.org/W3200801173","doi":null,"title":"Data-driven logistics : improving the decision-making process in operational planning by integrating a supervised learning model","display_name":"Data-driven logistics : improving the decision-making process in operational planning by integrating a supervised learning model","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3200801173","mag":"3200801173"},"language":"en","primary_location":{"id":"mag:3200801173","doi":null,"is_oa":false,"landing_page_url":"https://essay.utwente.nl/88494/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047912975","display_name":"D.M. van den Heuvel","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"D.M. van den Heuvel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5047912975"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.7651000022888184,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.7651000022888184,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12984","display_name":"Transport and Logistics Innovations","score":0.04809999838471413,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.0478999987244606,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/logistics-planning","display_name":"logistics planning","score":0.7129999995231628},{"id":"https://openalex.org/keywords/operations-planning","display_name":"operational planning","score":0.9369999766349792},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"supervised learning","score":0.6069999933242798},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9779999852180481},{"id":"https://openalex.org/keywords/planning-software","display_name":"planning software","score":0.7170000076293945},{"id":"https://openalex.org/keywords/decision-support","display_name":"decision support","score":0.7009999752044678},{"id":"https://openalex.org/keywords/artificial-intelligence-in-logistics","display_name":"artificial intelligence in logistics","score":0.6510000228881836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5930553674697876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5242926478385925},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5172348618507385},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4859503507614136},{"id":"https://openalex.org/C2776613951","wikidata":"https://www.wikidata.org/wiki/Q7097788","display_name":"Operational planning","level":2,"score":0.48229551315307617},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4683135449886322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44887518882751465},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.410073459148407},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3551694452762604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3316560387611389},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3200801173","doi":null,"is_oa":false,"landing_page_url":"https://essay.utwente.nl/88494/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5378999710083008}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W10444306","https://openalex.org/W226170239","https://openalex.org/W592733562","https://openalex.org/W807359321","https://openalex.org/W1494137514","https://openalex.org/W1498436455","https://openalex.org/W1547192778","https://openalex.org/W1547253197","https://openalex.org/W1560688497","https://openalex.org/W1980033830","https://openalex.org/W1981974807","https://openalex.org/W1985258161","https://openalex.org/W1994030314","https://openalex.org/W1999963273","https://openalex.org/W2007153649","https://openalex.org/W2020861455","https://openalex.org/W2025164940","https://openalex.org/W2031247304","https://openalex.org/W2044253623","https://openalex.org/W2047837247","https://openalex.org/W2052275185","https://openalex.org/W2076063813","https://openalex.org/W2076118331","https://openalex.org/W2093454802","https://openalex.org/W2111547563","https://openalex.org/W2112042732","https://openalex.org/W2122210511","https://openalex.org/W2136922540","https://openalex.org/W2143612262","https://openalex.org/W2163922914","https://openalex.org/W2165726932","https://openalex.org/W2342383797","https://openalex.org/W2588353788","https://openalex.org/W2588457420","https://openalex.org/W2919115771","https://openalex.org/W2992948912","https://openalex.org/W3015905367","https://openalex.org/W3030567977","https://openalex.org/W3114141390","https://openalex.org/W4236362309","https://openalex.org/W7099734215"],"related_works":["https://openalex.org/W7014873889","https://openalex.org/W3124919691","https://openalex.org/W1526641600","https://openalex.org/W6996827631","https://openalex.org/W4389576335","https://openalex.org/W7200444520","https://openalex.org/W4404797747","https://openalex.org/W7132438145","https://openalex.org/W7048653738","https://openalex.org/W7097817825"],"abstract_inverted_index":{"This":[0,70],"research":[1,21],"introduces":[2],"a":[3,12,45,73,92],"supervised":[4],"learning":[5,38],"modelin":[6],"the":[7,25,30,53,67,84],"existing":[8],"planning":[9,68],"software":[10],"of":[11,19,44,75,78,86],"large":[13],"logistic":[14],"service":[15],"provider.":[16],"The":[17],"goal":[18],"this":[20,81],"is":[22,57],"to":[23,62],"decrease":[24,74],"total":[26],"replanning":[27,42,76],"time":[28,77],"by":[29],"human":[31],"planners.":[32],"Our":[33],"solution":[34],"design":[35],"compares":[36],"four":[37],"models":[39],"on":[40,66],"obtained":[41],"data":[43],"two-month":[46],"period.":[47],"After":[48],"parameter":[49],"tuning":[50],"and":[51],"evaluation,":[52],"Random":[54],"Forest":[55],"model":[56],"implemented":[58],"as":[59],"an":[60,87],"Artifact":[61],"calculate":[63],"its":[64],"impact":[65],"performance.":[69],"resulted":[71],"in":[72,91],"30.6%.":[79],"Therefore,":[80],"thesis":[82],"substantiates":[83],"use":[85],"artificial":[88],"intelligence":[89],"algorithm":[90],"practical":[93],"environment.":[94]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-09-27T00:00:00"}