{"id":"https://openalex.org/W2945068949","doi":"https://doi.org/10.1080/00207543.2019.1614691","title":"Battle damage-oriented spare parts forecasting method based on wartime influencing factors analysis and \u03b5-support vector regression","display_name":"Battle damage-oriented spare parts forecasting method based on wartime influencing factors analysis and \u03b5-support vector regression","publication_year":2019,"publication_date":"2019-05-15","ids":{"openalex":"https://openalex.org/W2945068949","doi":"https://doi.org/10.1080/00207543.2019.1614691","mag":"2945068949"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2019.1614691","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["1366-588X","0020-7543"],"is_oa":false,"is_in_doaj":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"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/A5011875487","display_name":"Xiong Li","orcid":"https://orcid.org/0000-0001-6367-430X"},"institutions":[],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiong Li","raw_affiliation_string":"Army Academy of Armored Forces, Beijing, People\u2019s Republic of China","raw_affiliation_strings":["Army Academy of Armored Forces, Beijing, People\u2019s Republic of China"]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016106254","display_name":"Xiaodong Zhao","orcid":"https://orcid.org/0000-0001-5736-0777"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Zhao","raw_affiliation_string":"Army Academy of Armored Forces, Beijing, People\u2019s Republic of China","raw_affiliation_strings":["Army Academy of Armored Forces, Beijing, People\u2019s Republic of China"]},{"author_position":"last","author":{"id":"https://openalex.org/A5089467586","display_name":"Wei Pu","orcid":"https://orcid.org/0000-0002-3428-6444"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Pu","raw_affiliation_string":"Army Academy of Armored Forces, Beijing, People\u2019s Republic of China","raw_affiliation_strings":["Army Academy of Armored Forces, Beijing, People\u2019s Republic of China"]}],"countries_distinct_count":1,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5011875487"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"cited_by_percentile_year":{"min":85,"max":86},"biblio":{"volume":"58","issue":"4","first_page":"1178","last_page":"1198"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Time Series Forecasting Methods","score":0.9977,"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/T11918","display_name":"Time Series Forecasting Methods","score":0.9977,"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"}}],"keywords":[{"keyword":"spare parts forecasting method","score":0.6897},{"keyword":"wartime influencing factors analysis","score":0.4819},{"keyword":"battle","score":0.2665},{"keyword":"damage-oriented","score":0.25}],"concepts":[{"id":"https://openalex.org/C194648553","wikidata":"https://www.wikidata.org/wiki/Q1364774","display_name":"Spare part","level":2,"score":0.9330921},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.6311184},{"id":"https://openalex.org/C2778627824","wikidata":"https://www.wikidata.org/wiki/Q178561","display_name":"Battle","level":2,"score":0.58005404},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.5260225},{"id":"https://openalex.org/C2777381055","wikidata":"https://www.wikidata.org/wiki/Q308922","display_name":"Damages","level":2,"score":0.5001333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4442057},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43050295},{"id":"https://openalex.org/C519688237","wikidata":"https://www.wikidata.org/wiki/Q163059","display_name":"Military logistics","level":4,"score":0.42892706},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.423103},{"id":"https://openalex.org/C87345402","wikidata":"https://www.wikidata.org/wiki/Q485202","display_name":"Analytic hierarchy process","level":2,"score":0.41567117},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.33572996},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.33299935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2019566},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C203715995","wikidata":"https://www.wikidata.org/wiki/Q752673","display_name":"Asymmetric warfare","level":3,"score":0.0},{"id":"https://openalex.org/C81631423","wikidata":"https://www.wikidata.org/wiki/Q10859","display_name":"Spanish Civil War","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2019.1614691","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["1366-588X","0020-7543"],"is_oa":false,"is_in_doaj":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.64,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61473311"},{"funder":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality","award_id":"9142017"}],"referenced_works_count":47,"referenced_works":["https://openalex.org/W641601117","https://openalex.org/W1507806376","https://openalex.org/W1898640126","https://openalex.org/W1963675374","https://openalex.org/W1977304848","https://openalex.org/W1982458122","https://openalex.org/W1987102910","https://openalex.org/W1988512808","https://openalex.org/W1997873887","https://openalex.org/W2015216149","https://openalex.org/W2018602381","https://openalex.org/W2023130417","https://openalex.org/W2023435083","https://openalex.org/W2027131377","https://openalex.org/W2030155757","https://openalex.org/W2031313800","https://openalex.org/W2052671788","https://openalex.org/W2059937103","https://openalex.org/W2061586576","https://openalex.org/W2062162733","https://openalex.org/W2069472907","https://openalex.org/W2073794815","https://openalex.org/W2077926095","https://openalex.org/W2117897510","https://openalex.org/W2129078028","https://openalex.org/W2136130862","https://openalex.org/W2143927961","https://openalex.org/W2146197969","https://openalex.org/W2156909104","https://openalex.org/W2158852503","https://openalex.org/W2170269144","https://openalex.org/W2189200475","https://openalex.org/W2219030831","https://openalex.org/W2311599690","https://openalex.org/W2340581202","https://openalex.org/W2411932521","https://openalex.org/W2419323017","https://openalex.org/W2441917113","https://openalex.org/W2523354200","https://openalex.org/W2574179923","https://openalex.org/W2582375920","https://openalex.org/W2588997232","https://openalex.org/W2611589978","https://openalex.org/W2776575067","https://openalex.org/W2794194204","https://openalex.org/W2964275130","https://openalex.org/W4291327732"],"related_works":["https://openalex.org/W2277714805","https://openalex.org/W2354424567","https://openalex.org/W2348843812","https://openalex.org/W311188652","https://openalex.org/W2362742902","https://openalex.org/W279753026","https://openalex.org/W2370967975","https://openalex.org/W1566703605","https://openalex.org/W2349316379","https://openalex.org/W3046077772"],"ngrams_url":"https://api.openalex.org/works/W2945068949/ngrams","abstract_inverted_index":{"Many":[0],"peacetime":[1],"spare":[2,17,55,125,151,166,196],"parts":[3,18,56,126,152,167,197],"demand":[4,57,127],"forecasting":[5,161],"models":[6],"have":[7],"been":[8],"proposed":[9,188],"recently.":[10],"However,":[11],"it":[12],"is":[13,23],"difficult":[14],"to":[15,25,51],"forecast":[16,52],"consumption":[19],"in":[20,205],"wartime.":[21],"This":[22],"due":[24],"the":[26,72,86,108,119,123,129,133,140,182,187],"complexity":[27],"and":[28,46,64,82,92,100,122,138,175,179,202],"randomness":[29],"of":[30,76,85,115,144,160,165,170,181],"battle":[31,53,116,149],"damages.":[32],"To":[33],"serve":[34],"this":[35],"purpose,":[36],"we":[37,70,106,155],"choose":[38],"a":[39,48,157,171],"combined":[40,172],"army":[41,173],"element":[42],"as":[43,118,128],"study":[44,159],"object,":[45],"propose":[47],"novel":[49],"method":[50,189],"damage-oriented":[54,150],"based":[58],"on":[59],"wartime":[60,195],"influencing":[61,74,113,146],"factors":[62,75,95,114,147],"analysis":[63],"\u03b5-Support":[65],"Vector":[66],"Regression":[67],"(\u03b5-SVR).":[68],"First,":[69],"extract":[71],"key":[73],"equipment":[77],"damages":[78,117],"including":[79],"battlefield":[80],"environment":[81],"fighting":[83],"capacities":[84],"opposed":[87],"forces":[88],"by":[89,96,111],"qualitative":[90],"analysis,":[91],"quantify":[93],"those":[94],"combining":[97],"Delphi":[98],"technique":[99],"fuzzy":[101],"comprehensive":[102],"evaluation":[103],"method.":[104],"Subsequently,":[105],"construct":[107],"sample":[109],"space":[110],"using":[112],"input":[120],"variables":[121],"corresponding":[124],"output":[130],"variable,":[131],"introduce":[132],"insensitive":[134],"loss":[135],"function":[136],"(\u03b5)":[137],"establish":[139],"\u03b5-SVR":[141],"prediction":[142],"model":[143],"\u2018wartime":[145],"\u2013":[148],"demand\u2019.":[153],"Finally,":[154],"implement":[156],"case":[158],"three":[162],"representative":[163],"kinds":[164],"for":[168,194],"assault":[169],"element,":[174],"thus":[176],"verify":[177],"feasibility":[178],"effectiveness":[180],"model.":[183],"We":[184],"find":[185],"that":[186],"can":[190],"provide":[191],"decision-making":[192],"references":[193],"supply":[198],"with":[199,207],"higher":[200],"accuracy":[201],"more":[203],"advantages":[204],"contrast":[206],"other":[208],"current":[209],"methods.":[210]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2945068949","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2024-03-16T18:30:09.748462","created_date":"2019-05-29"}