{"id":"https://openalex.org/W2428336604","doi":"https://doi.org/10.1109/wodes.2016.7497826","title":"Efficient algorithm for quay crane scheduling with arbitrary precedence constraint","display_name":"Efficient algorithm for quay crane scheduling with arbitrary precedence constraint","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2428336604","doi":"https://doi.org/10.1109/wodes.2016.7497826","mag":"2428336604"},"language":"en","primary_location":{"id":"doi:10.1109/wodes.2016.7497826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wodes.2016.7497826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th International Workshop on Discrete Event Systems (WODES)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100347785","display_name":"Ming Liu","orcid":"https://orcid.org/0000-0002-4500-238X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Liu","raw_affiliation_strings":["School of Economics and Management, Tongji University, Shanghai, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Tongji University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022425624","display_name":"Lujun Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lujun Xu","raw_affiliation_strings":["School of Economics and Management, Tongji University, Shanghai, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Tongji University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069365665","display_name":"Shijin Wang","orcid":"https://orcid.org/0000-0002-4788-0530"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijin Wang","raw_affiliation_strings":["School of Economics and Management, Tongji University, Shanghai, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Tongji University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741513","display_name":"Chengbin Chu","orcid":"https://orcid.org/0000-0002-1837-4380"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4210134356","display_name":"Laboratoire G\u00e9nie Industriel","ror":"https://ror.org/0455wwj08","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210134356"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Chengbin Chu","raw_affiliation_strings":["Laboratoire G\u00e9nie Industriel, Centrale Sup\u00e9lec Universit\u00e9 Paris-Saclay, Ch\u00e2tenay-Malabry, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire G\u00e9nie Industriel, Centrale Sup\u00e9lec Universit\u00e9 Paris-Saclay, Ch\u00e2tenay-Malabry, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210134356"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"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":"57","last_page":"62"},"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":0.9821000099182129,"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":0.9817000031471252,"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/computer-science","display_name":"Computer science","score":0.67396080493927},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6484252214431763},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.603540301322937},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5870814919471741},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5589855909347534},{"id":"https://openalex.org/keywords/constraint-programming","display_name":"Constraint programming","score":0.5308730602264404},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5110803842544556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49211782217025757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15993553400039673},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.12382397055625916},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.07271519303321838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67396080493927},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6484252214431763},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.603540301322937},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5870814919471741},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5589855909347534},{"id":"https://openalex.org/C173404611","wikidata":"https://www.wikidata.org/wiki/Q528588","display_name":"Constraint programming","level":3,"score":0.5308730602264404},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5110803842544556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49211782217025757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15993553400039673},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.12382397055625916},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.07271519303321838},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wodes.2016.7497826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wodes.2016.7497826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th International Workshop on Discrete Event Systems (WODES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1524719384","https://openalex.org/W1966870289","https://openalex.org/W1972777411","https://openalex.org/W1990033027","https://openalex.org/W2011039300","https://openalex.org/W2028812472","https://openalex.org/W2046000180","https://openalex.org/W2106814576","https://openalex.org/W2122967269","https://openalex.org/W2141603040","https://openalex.org/W4229678751","https://openalex.org/W6610072603","https://openalex.org/W6648112451","https://openalex.org/W6678371554"],"related_works":["https://openalex.org/W3172150420","https://openalex.org/W3204654320","https://openalex.org/W4291309325","https://openalex.org/W2950474130","https://openalex.org/W2737452945","https://openalex.org/W4313469555","https://openalex.org/W1547011777","https://openalex.org/W2263461846","https://openalex.org/W1514706798","https://openalex.org/W1985899403"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"quay":[3,28],"crane":[4],"scheduling":[5,19],"problem":[6,80],"at":[7],"container":[8],"ports,":[9],"subject":[10],"to":[11,35,102],"arbitrary":[12,44],"precedence":[13,88],"constraint.":[14],"Differing":[15],"from":[16,57],"traditional":[17],"machine":[18],"problems,":[20],"non-crossing":[21],"constraint":[22],"must":[23],"be":[24,55],"satisfied":[25],"because":[26],"parallel":[27],"cranes":[29],"mount":[30],"on":[31],"a":[32],"same":[33],"rail":[34],"unload":[36],"or":[37,60],"load":[38],"containers.":[39],"Precedence":[40],"relation":[41],"in":[42,49],"an":[43],"form":[45],"is":[46,90,100],"rarely":[47],"investigated":[48],"the":[50,84,95,109],"literature,":[51],"however":[52],"it":[53],"may":[54],"originated":[56],"(i)":[58],"reefers":[59],"dangerous":[61],"cargo":[62],"which":[63,93],"requires":[64],"high":[65],"priority":[66],"of":[67],"processing,":[68],"and":[69],"(ii)":[70],"yard":[71],"stacking":[72],"plan.":[73],"We":[74,82],"present":[75],"computational":[76],"complexity":[77],"for":[78],"several":[79],"variations.":[81],"show":[83],"problem,":[85],"even":[86],"without":[87],"constraint,":[89],"strongly":[91],"NP-hard,":[92],"improves":[94],"state-of-the-art.":[96],"A":[97],"genetic":[98],"algorithm":[99],"proposed":[101],"obtain":[103],"near-optimal":[104],"solutions.":[105],"Computational":[106],"experiments":[107],"demonstrate":[108],"efficiency.":[110]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}