{"id":"https://openalex.org/W4206475570","doi":"https://doi.org/10.1109/ieem50564.2021.9673051","title":"Exact Algorithms for Robust Quay Crane Scheduling Problems","display_name":"Exact Algorithms for Robust Quay Crane Scheduling Problems","publication_year":2021,"publication_date":"2021-12-13","ids":{"openalex":"https://openalex.org/W4206475570","doi":"https://doi.org/10.1109/ieem50564.2021.9673051"},"language":"en","primary_location":{"id":"doi:10.1109/ieem50564.2021.9673051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem50564.2021.9673051","pdf_url":null,"source":{"id":"https://openalex.org/S4363607822","display_name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-article"},"type":"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/A5101479912","display_name":"Yitian Li","orcid":"https://orcid.org/0000-0003-3297-3782"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yitian Li","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University,Logistics Engineering and Simulation Laboratory,Shenzhen,China,518055","Department of Industrial Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University,Logistics Engineering and Simulation Laboratory,Shenzhen,China,518055","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028977383","display_name":"Canrong Zhang","orcid":"https://orcid.org/0000-0002-4164-6065"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canrong Zhang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University,Logistics Engineering and Simulation Laboratory,Shenzhen,China,518055","Department of Industrial Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University,Logistics Engineering and Simulation Laboratory,Shenzhen,China,518055","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8838,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73170732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1631","last_page":"1635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.9998999834060669,"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/T11223","display_name":"Maritime Ports and Logistics","score":0.9998999834060669,"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/T12126","display_name":"Maritime Transport Emissions and Efficiency","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benders-decomposition","display_name":"Benders' decomposition","score":0.7634989023208618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6785168647766113},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6299555897712708},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6217187643051147},{"id":"https://openalex.org/keywords/column-generation","display_name":"Column generation","score":0.5660339593887329},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5319640636444092},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5267659425735474},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.4868154227733612},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4406892657279968},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16221484541893005}],"concepts":[{"id":"https://openalex.org/C27665512","wikidata":"https://www.wikidata.org/wiki/Q3042795","display_name":"Benders' decomposition","level":2,"score":0.7634989023208618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6785168647766113},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6299555897712708},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6217187643051147},{"id":"https://openalex.org/C168956720","wikidata":"https://www.wikidata.org/wiki/Q3123181","display_name":"Column generation","level":2,"score":0.5660339593887329},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5319640636444092},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5267659425735474},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.4868154227733612},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4406892657279968},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16221484541893005},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieem50564.2021.9673051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem50564.2021.9673051","pdf_url":null,"source":{"id":"https://openalex.org/S4363607822","display_name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5315720043","display_name":"\u57fa\u4e8e\u52a8\u6001\u51b3\u7b56\u548c\u6570\u636e\u6316\u6398\u7684\u96c6\u88c5\u7bb1\u7ffb\u5012\u95ee\u9898\u7814\u7a76","funder_award_id":"71872092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2003811609","https://openalex.org/W2044121814","https://openalex.org/W2077373694","https://openalex.org/W2089953380","https://openalex.org/W2811356407","https://openalex.org/W3041688180","https://openalex.org/W4233704985","https://openalex.org/W6780877295"],"related_works":["https://openalex.org/W2355937913","https://openalex.org/W2257455891","https://openalex.org/W2007529666","https://openalex.org/W2403729554","https://openalex.org/W3157397794","https://openalex.org/W3152339832","https://openalex.org/W2154964969","https://openalex.org/W2990631785","https://openalex.org/W4292373857","https://openalex.org/W4226292241"],"abstract_inverted_index":{"The":[0],"processing":[1],"time":[2],"of":[3,40,87],"loading":[4],"and":[5,60,77,90],"unloading":[6],"tasks":[7],"is":[8],"usually":[9],"fluctuating":[10],"due":[11],"to":[12,33,44,53,66,97],"uncertain":[13],"factors":[14],"at":[15],"container":[16],"terminals.":[17],"However,":[18],"most":[19],"research":[20],"treats":[21],"it":[22],"as":[23],"deterministic.":[24],"This":[25],"paper":[26],"proposes":[27],"a":[28],"two-stage":[29],"robust":[30,69,99],"optimization":[31],"approach":[32],"tackle":[34],"the":[35,46,55,68,72,85,88,92,98],"uncertainty":[36],"proactively.":[37],"Two":[38],"kinds":[39],"cuts":[41],"are":[42,51,64,95],"proposed":[43],"tighten":[45],"searching":[47],"space.":[48],"Some":[49],"techniques":[50],"applied":[52],"linearize":[54],"subproblem.":[56],"Both":[57],"Benders":[58],"decomposition":[59],"column-and-constraint":[61],"generation":[62],"algorithms":[63,74,89],"adopted":[65],"solve":[67],"model,":[70],"with":[71],"two":[73],"compared":[75],"analytically":[76],"numerically.":[78],"Based":[79],"on":[80],"extensive":[81],"experiments,":[82],"we":[83],"validate":[84],"effectiveness":[86],"find":[91],"situations":[93],"that":[94],"suitable":[96],"model.":[100]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}