{"id":"https://openalex.org/W2161540877","doi":"https://doi.org/10.1109/ramech.2008.4690870","title":"Virtual engineering: optimal cell layout method for improving productivity for industrial robot","display_name":"Virtual engineering: optimal cell layout method for improving productivity for industrial robot","publication_year":2008,"publication_date":"2008-09-01","ids":{"openalex":"https://openalex.org/W2161540877","doi":"https://doi.org/10.1109/ramech.2008.4690870","mag":"2161540877"},"language":"en","primary_location":{"id":"doi:10.1109/ramech.2008.4690870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ramech.2008.4690870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Robotics, Automation and Mechatronics","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/A5100386788","display_name":"Dandan Zhang","orcid":"https://orcid.org/0009-0003-4551-745X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dandan Zhang","raw_affiliation_strings":["ABB Corporate Research Center, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ABB Corporate Research Center, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001479075","display_name":"Liwei Qi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liwei Qi","raw_affiliation_strings":["ABB Corporate Research Center, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ABB Corporate Research Center, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100386788"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8249,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7954893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"220","issue":null,"first_page":"6","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9993000030517578,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9993000030517578,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.991100013256073,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.719693660736084},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7089380621910095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7062691450119019},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6959435939788818},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4548942446708679},{"id":"https://openalex.org/keywords/robot-kinematics","display_name":"Robot kinematics","score":0.42817503213882446},{"id":"https://openalex.org/keywords/industrial-robot","display_name":"Industrial robot","score":0.4246750473976135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37447768449783325},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3259916603565216},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.2626284956932068},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19338542222976685},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1712290644645691}],"concepts":[{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.719693660736084},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7089380621910095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7062691450119019},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6959435939788818},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4548942446708679},{"id":"https://openalex.org/C74222875","wikidata":"https://www.wikidata.org/wiki/Q16000312","display_name":"Robot kinematics","level":4,"score":0.42817503213882446},{"id":"https://openalex.org/C2776126113","wikidata":"https://www.wikidata.org/wiki/Q1128980","display_name":"Industrial robot","level":3,"score":0.4246750473976135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37447768449783325},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3259916603565216},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.2626284956932068},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19338542222976685},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1712290644645691},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ramech.2008.4690870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ramech.2008.4690870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Robotics, Automation and Mechatronics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W17748033","https://openalex.org/W80215412","https://openalex.org/W1483303043","https://openalex.org/W1524050872","https://openalex.org/W1977725343","https://openalex.org/W2024060531","https://openalex.org/W2024344435","https://openalex.org/W2130260473","https://openalex.org/W2154061444","https://openalex.org/W2165115362","https://openalex.org/W2218854101","https://openalex.org/W2226120724","https://openalex.org/W2267192640","https://openalex.org/W2914275007","https://openalex.org/W6603303905","https://openalex.org/W6679385114"],"related_works":["https://openalex.org/W4244907930","https://openalex.org/W2171912896","https://openalex.org/W2985813984","https://openalex.org/W2922441285","https://openalex.org/W2407180395","https://openalex.org/W2901276430","https://openalex.org/W4238033949","https://openalex.org/W3135439126","https://openalex.org/W2900509454","https://openalex.org/W1837495523"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,13,44,58,70],"method":[4,34,72,127],"to":[5,25,37,57,75],"optimize":[6],"the":[7,27,30,33,64,67,77,82,85,94,101,104,122,125],"positions":[8,105],"of":[9,19,29,81,106,115,124],"robot":[10,55,108],"tasks":[11,109],"in":[12,17,98,100],"robotic":[14],"work":[15],"cell":[16],"terms":[18],"minimum":[20],"cycle":[21],"time.":[22],"In":[23],"order":[24],"improve":[26],"efficiency":[28],"overall":[31],"algorithm,":[32],"is":[35,50,73],"proposed":[36,126],"be":[38],"decomposed":[39],"into":[40],"3":[41],"stages.":[42],"Firstly,":[43],"good":[45],"position":[46],"for":[47],"each":[48],"task":[49,56],"derived":[51],"by":[52,113],"putting":[53],"such":[54],"preferred":[59],"region;":[60],"secondly,":[61],"based":[62],"on":[63],"results":[65],"from":[66,87],"first":[68],"stage,":[69,103],"switched":[71],"designed":[74],"seek":[76],"best":[78],"space":[79,96],"sorting":[80],"tasks;":[83],"with":[84],"benefit":[86],"these":[88],"two":[89],"stages":[90],"which":[91],"can":[92],"reduce":[93],"search":[95],"greatly":[97],"optimization,":[99],"third":[102],"all":[107],"are":[110],"adjusted":[111],"simultaneously":[112],"means":[114],"Simulated":[116],"AnnealingMethod.":[117],"Several":[118],"test":[119],"cases":[120],"verified":[121],"effectiveness":[123]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}