{"id":"https://openalex.org/W3043617974","doi":"https://doi.org/10.1109/access.2020.3010050","title":"Approaches for the Prediction of Lead Times in an Engineer to Order Environment\u2014A Systematic Review","display_name":"Approaches for the Prediction of Lead Times in an Engineer to Order Environment\u2014A Systematic Review","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3043617974","doi":"https://doi.org/10.1109/access.2020.3010050","mag":"3043617974"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3010050","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3010050","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09143119.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09143119.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068325939","display_name":"Peter Burggr\u00e4f","orcid":"https://orcid.org/0000-0001-9018-9959"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Peter Burggraf","raw_affiliation_strings":["Chair of International Production Engineering and Management, University of Siegen, Siegen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-9018-9959","affiliations":[{"raw_affiliation_string":"Chair of International Production Engineering and Management, University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027794428","display_name":"Johannes Wagner","orcid":"https://orcid.org/0000-0002-3226-2457"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Wagner","raw_affiliation_strings":["Chair of International Production Engineering and Management, University of Siegen, Siegen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3226-2457","affiliations":[{"raw_affiliation_string":"Chair of International Production Engineering and Management, University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112356252","display_name":"Benjamin Koke","orcid":null},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Koke","raw_affiliation_strings":["Chair of International Production Engineering and Management, University of Siegen, Siegen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2552-2855","affiliations":[{"raw_affiliation_string":"Chair of International Production Engineering and Management, University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084118932","display_name":"Fabian Steinberg","orcid":"https://orcid.org/0000-0002-9842-5343"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Steinberg","raw_affiliation_strings":["Chair of International Production Engineering and Management, University of Siegen, Siegen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9842-5343","affiliations":[{"raw_affiliation_string":"Chair of International Production Engineering and Management, University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068325939"],"corresponding_institution_ids":["https://openalex.org/I206895457"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1725,"currency":"EUR","value_usd":1860},"fwci":3.4332,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93037473,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"142434","last_page":"142445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9994000196456909,"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/T11729","display_name":"Product Development and Customization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10164","display_name":"Quality and Supply Management","score":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.7267641425132751},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6140391826629639},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5576531291007996},{"id":"https://openalex.org/keywords/lead-time","display_name":"Lead time","score":0.5213819146156311},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49608978629112244},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4929804801940918},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.47787776589393616},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4591689705848694},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4372818171977997},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.42252466082572937},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.410999596118927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3978961706161499},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13949695229530334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09039762616157532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267641425132751},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6140391826629639},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5576531291007996},{"id":"https://openalex.org/C2781468064","wikidata":"https://www.wikidata.org/wiki/Q1267117","display_name":"Lead time","level":2,"score":0.5213819146156311},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49608978629112244},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4929804801940918},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.47787776589393616},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4591689705848694},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4372818171977997},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.42252466082572937},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.410999596118927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3978961706161499},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13949695229530334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09039762616157532},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3010050","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3010050","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09143119.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:doi:10.25819/ubsi/9967","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:6630e9ab095d47e99eaa7d8cbb0cda33","is_oa":true,"landing_page_url":"https://doaj.org/article/6630e9ab095d47e99eaa7d8cbb0cda33","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 142434-142445 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3010050","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3010050","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09143119.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5799999833106995,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3043617974.pdf","grobid_xml":"https://content.openalex.org/works/W3043617974.grobid-xml"},"referenced_works_count":93,"referenced_works":["https://openalex.org/W40976687","https://openalex.org/W143959427","https://openalex.org/W1499199352","https://openalex.org/W1526281128","https://openalex.org/W1562929073","https://openalex.org/W1592191765","https://openalex.org/W1594809461","https://openalex.org/W1701895196","https://openalex.org/W1820646994","https://openalex.org/W1924572703","https://openalex.org/W1978254750","https://openalex.org/W1987708126","https://openalex.org/W1995462538","https://openalex.org/W2007872832","https://openalex.org/W2013689299","https://openalex.org/W2017205029","https://openalex.org/W2029507504","https://openalex.org/W2030958653","https://openalex.org/W2033494546","https://openalex.org/W2042567292","https://openalex.org/W2047568373","https://openalex.org/W2048325435","https://openalex.org/W2049913149","https://openalex.org/W2052056044","https://openalex.org/W2059780189","https://openalex.org/W2065229866","https://openalex.org/W2069829403","https://openalex.org/W2077660521","https://openalex.org/W2077960174","https://openalex.org/W2080388201","https://openalex.org/W2080535136","https://openalex.org/W2085230034","https://openalex.org/W2105956240","https://openalex.org/W2106425940","https://openalex.org/W2109341366","https://openalex.org/W2111628838","https://openalex.org/W2118795021","https://openalex.org/W2119974213","https://openalex.org/W2121854318","https://openalex.org/W2124975206","https://openalex.org/W2126264646","https://openalex.org/W2129018774","https://openalex.org/W2132707512","https://openalex.org/W2137451760","https://openalex.org/W2148829661","https://openalex.org/W2151377287","https://openalex.org/W2156385724","https://openalex.org/W2159798264","https://openalex.org/W2163648511","https://openalex.org/W2183826127","https://openalex.org/W2274597962","https://openalex.org/W2281669719","https://openalex.org/W2326223182","https://openalex.org/W2480076298","https://openalex.org/W2493023261","https://openalex.org/W2501178431","https://openalex.org/W2503131558","https://openalex.org/W2511775317","https://openalex.org/W2536031002","https://openalex.org/W2567362164","https://openalex.org/W2604819069","https://openalex.org/W2605476817","https://openalex.org/W2615248363","https://openalex.org/W2757676627","https://openalex.org/W2782872721","https://openalex.org/W2794697110","https://openalex.org/W2811113727","https://openalex.org/W2884351404","https://openalex.org/W2885869279","https://openalex.org/W2891312491","https://openalex.org/W2939715135","https://openalex.org/W2940336491","https://openalex.org/W2966747908","https://openalex.org/W2969497951","https://openalex.org/W2971969417","https://openalex.org/W2994335005","https://openalex.org/W2995061891","https://openalex.org/W3008636748","https://openalex.org/W3112988733","https://openalex.org/W3143061331","https://openalex.org/W4229644324","https://openalex.org/W4232551842","https://openalex.org/W4245131789","https://openalex.org/W4249099758","https://openalex.org/W4251032167","https://openalex.org/W4285719527","https://openalex.org/W6676235441","https://openalex.org/W6677776429","https://openalex.org/W6686021486","https://openalex.org/W6724207608","https://openalex.org/W6771522848","https://openalex.org/W6788081396","https://openalex.org/W7055822191"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W1690653314","https://openalex.org/W3108315613","https://openalex.org/W4291265047","https://openalex.org/W4286841477","https://openalex.org/W3153279542"],"abstract_inverted_index":{"The":[0],"interest":[1],"of":[2,9,27,36,80,171,218],"manufacturing":[3],"companies":[4],"in":[5,17,41,90,150],"a":[6,24,77,101,141,234],"sufficient":[7],"prediction":[8,71],"lead":[10,46,86,179,200],"times":[11,47,87,180],"is":[12,88,144],"continuously":[13],"increasing":[14,213],"-":[15],"especially":[16],"engineer":[18],"to":[19,65,146,231],"order":[20,64,166],"environments":[21],"with":[22,212],"typically":[23],"large":[25],"number":[26],"individual":[28],"parts":[29],"and":[30,51,59,73,97,123,127,131,168,195],"complex":[31,235],"production":[32,173],"processes.":[33],"A":[34],"multitude":[35],"approaches":[37,83,149,189,204],"have":[38],"been":[39],"proposed":[40],"the":[42,81,105,115,124,133,139,151,169,172,216],"literature":[43,153],"for":[44,84,158,177,198,228],"predicting":[45,85,178,199],"considering":[48,104,238],"different":[49],"data":[50,107,111,116,119,167,183,220,236,244,246],"methods":[52],"or":[53,112,120,209],"algorithms":[54],"from":[55,129],"operations":[56],"research":[57,230],"(OR)":[58],"machine":[60],"learning":[61],"(ML).":[62],"In":[63],"provide":[66],"guidance":[67],"at":[68],"setting":[69],"up":[70,233],"models":[72,197],"developing":[74],"new":[75],"approaches,":[76],"systematic":[78],"review":[79],"available":[82],"presented":[89],"this":[91],"paper.":[92],"Forty-two":[93],"publications":[94,134],"were":[95],"analyzed":[96],"synthetized:":[98],"Based":[99,137],"on":[100,138],"developed":[102],"framework":[103],"used":[106,125,176,185],"class":[108],"(e.g.":[109],"product":[110],"system":[113,174],"status),":[114],"origin":[117],"(master":[118],"real":[121,219,243],"data)":[122],"method":[126],"algorithm":[128],"OR":[130,203],"ML,":[132],"are":[135,175,184],"classified.":[136],"classification,":[140],"descriptive":[142],"analysis":[143],"performed":[145],"identify":[147],"common":[148],"existing":[152],"as":[154,156,225,245],"well":[155],"implications":[157],"further":[159,229],"research.":[160],"One":[161],"result":[162],"is,":[163],"that":[164],"mostly":[165],"status":[170],"whereas":[181],"material":[182,239],"seldom.":[186],"Additionally,":[187],"ML":[188],"primarily":[190],"use":[191,205,217],"artificial":[192],"neural":[193],"networks":[194],"regression":[196],"times,":[201],"while":[202],"mainly":[206],"combinatorial":[207],"optimization":[208],"heuristics.":[210],"Furthermore,":[211],"model":[214,237],"complexity":[215],"decreased.":[221],"Thus,":[222],"we":[223],"identified":[224],"an":[226],"implication":[227],"set":[232],"data,":[240],"which":[241],"uses":[242],"origin.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-07-23T00:00:00"}