{"id":"https://openalex.org/W2000675613","doi":"https://doi.org/10.1109/icnsc.2013.6548854","title":"A heuristic approach to synchronize production and transportation planning in a mineral water industry","display_name":"A heuristic approach to synchronize production and transportation planning in a mineral water industry","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2000675613","doi":"https://doi.org/10.1109/icnsc.2013.6548854","mag":"2000675613"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc.2013.6548854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2013.6548854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC)","raw_type":"proceedings-article"},"type":"preprint","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/A5107541664","display_name":"Yueru Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I216852786","display_name":"\u00c9cole Centrale Paris","ror":"https://ror.org/00v0y5771","country_code":"FR","type":"education","lineage":["https://openalex.org/I216852786"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Yueru Zhong","raw_affiliation_strings":["Laboratoire G\u00e9nie Industriel, Ecole Centrale Paris, Chaenay-Malabry, France","Lab. Genie Industriel, Ecole Centrale Paris, Cha\u0302tenay-Malabry, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire G\u00e9nie Industriel, Ecole Centrale Paris, Chaenay-Malabry, France","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"Lab. Genie Industriel, Ecole Centrale Paris, Cha\u0302tenay-Malabry, France","institution_ids":["https://openalex.org/I216852786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741513","display_name":"Chengbin Chu","orcid":"https://orcid.org/0000-0002-1837-4380"},"institutions":[{"id":"https://openalex.org/I216852786","display_name":"\u00c9cole Centrale Paris","ror":"https://ror.org/00v0y5771","country_code":"FR","type":"education","lineage":["https://openalex.org/I216852786"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Chengbin Chu","raw_affiliation_strings":["Laboratoire G\u00e9nie Industriel, Ecole Centrale Paris, Chaenay-Malabry, France","Lab. Genie Industriel, Ecole Centrale Paris, Cha\u0302tenay-Malabry, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire G\u00e9nie Industriel, Ecole Centrale Paris, Chaenay-Malabry, France","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"Lab. Genie Industriel, Ecole Centrale Paris, Cha\u0302tenay-Malabry, France","institution_ids":["https://openalex.org/I216852786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107378676","display_name":"Zied Jema\u0131\u0308","orcid":null},"institutions":[{"id":"https://openalex.org/I216852786","display_name":"\u00c9cole Centrale Paris","ror":"https://ror.org/00v0y5771","country_code":"FR","type":"education","lineage":["https://openalex.org/I216852786"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Z. Jemai","raw_affiliation_strings":["Laboratoire G\u00e9nie Industriel, Ecole Centrale Paris, Chaenay-Malabry, France","Lab. Genie Industriel, Ecole Centrale Paris, Cha\u0302tenay-Malabry, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire G\u00e9nie Industriel, Ecole Centrale Paris, Chaenay-Malabry, France","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"Lab. Genie Industriel, Ecole Centrale Paris, Cha\u0302tenay-Malabry, France","institution_ids":["https://openalex.org/I216852786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107541664"],"corresponding_institution_ids":["https://openalex.org/I216852786"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08194392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"881","last_page":"888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12709","display_name":"Optimization and Mathematical Programming","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12709","display_name":"Optimization and Mathematical Programming","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10328","display_name":"Supply Chain and Inventory Management","score":0.9957000017166138,"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"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9937999844551086,"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/heuristic","display_name":"Heuristic","score":0.7648963928222656},{"id":"https://openalex.org/keywords/production-planning","display_name":"Production planning","score":0.7444521188735962},{"id":"https://openalex.org/keywords/synchronizing","display_name":"Synchronizing","score":0.6484872102737427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5961865782737732},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5585727095603943},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5429243445396423},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5423948764801025},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.5421285629272461},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.5111609101295471},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48008519411087036},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4634864628314972},{"id":"https://openalex.org/keywords/transportation-planning","display_name":"Transportation planning","score":0.429074227809906},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.423970103263855},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.38906994462013245},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20577552914619446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18122383952140808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15878573060035706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15615755319595337},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.11909008026123047},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.07860672473907471}],"concepts":[{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.7648963928222656},{"id":"https://openalex.org/C2777909354","wikidata":"https://www.wikidata.org/wiki/Q1386523","display_name":"Production planning","level":3,"score":0.7444521188735962},{"id":"https://openalex.org/C162932704","wikidata":"https://www.wikidata.org/wiki/Q1058791","display_name":"Synchronizing","level":3,"score":0.6484872102737427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5961865782737732},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5585727095603943},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5429243445396423},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5423948764801025},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.5421285629272461},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.5111609101295471},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48008519411087036},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4634864628314972},{"id":"https://openalex.org/C39118121","wikidata":"https://www.wikidata.org/wiki/Q1034047","display_name":"Transportation planning","level":2,"score":0.429074227809906},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.423970103263855},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.38906994462013245},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20577552914619446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18122383952140808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15878573060035706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15615755319595337},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.11909008026123047},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.07860672473907471},{"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/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc.2013.6548854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2013.6548854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1509234961","https://openalex.org/W1968234283","https://openalex.org/W1969063877","https://openalex.org/W1970978862","https://openalex.org/W1976297830","https://openalex.org/W1977278456","https://openalex.org/W1977389846","https://openalex.org/W1980760279","https://openalex.org/W1988967059","https://openalex.org/W1994404409","https://openalex.org/W1998342753","https://openalex.org/W2006135876","https://openalex.org/W2018831095","https://openalex.org/W2019590415","https://openalex.org/W2024802380","https://openalex.org/W2044049211","https://openalex.org/W2046269316","https://openalex.org/W2057593340","https://openalex.org/W2057883607","https://openalex.org/W2058282509","https://openalex.org/W2061538120","https://openalex.org/W2065024613","https://openalex.org/W2081055047","https://openalex.org/W2085138485","https://openalex.org/W2086295510","https://openalex.org/W2089309831","https://openalex.org/W2106495447","https://openalex.org/W2107857629","https://openalex.org/W2115301560","https://openalex.org/W2134850520","https://openalex.org/W2141725030","https://openalex.org/W2149835216","https://openalex.org/W2165465282","https://openalex.org/W3123233546","https://openalex.org/W4248922685","https://openalex.org/W4256185527","https://openalex.org/W6677527770","https://openalex.org/W6682202645"],"related_works":["https://openalex.org/W2089763231","https://openalex.org/W4213428262","https://openalex.org/W1455092226","https://openalex.org/W134091869","https://openalex.org/W2334901601","https://openalex.org/W3002894362","https://openalex.org/W2579101255","https://openalex.org/W2162890288","https://openalex.org/W2084006394","https://openalex.org/W2281243658"],"abstract_inverted_index":{"Planning":[0],"problems":[1],"arise":[2],"in":[3,27,35,90],"different":[4],"circumstances":[5],"with":[6,97],"a":[7,44,65,70,87,91,101,122],"set":[8],"of":[9,94,112,121],"parameters,":[10],"decision":[11],"variables":[12],"and":[13,21,55,79,119],"constraints,":[14],"particularly":[15],"capacity":[16],"constraints.":[17],"Synchronizing":[18],"production":[19,45],"plan":[20,23],"transportation":[22,62],"at":[24,42],"item":[25],"level":[26],"medium-short":[28],"term,":[29],"however,":[30],"has":[31],"received":[32],"little":[33],"attention":[34],"the":[36,98,130],"prior":[37],"literature.":[38],"This":[39],"paper":[40],"aims":[41],"solving":[43],"planning":[46,72],"problem":[47],"that":[48,129],"depends":[49],"not":[50],"only":[51],"on":[52,60],"internal":[53],"process":[54],"forecast":[56],"data,":[57],"but":[58],"also":[59],"subsequent":[61],"planning.":[63],"For":[64],"multi-product":[66],"industrial":[67],"case":[68],"over":[69],"finite":[71],"horizon,":[73],"an":[74,80,116],"adapted":[75],"model":[76,118],"is":[77,83],"established":[78],"improvement-based":[81],"heuristic":[82,132],"proposed":[84,131],"to":[85,114],"find":[86],"near-optimal":[88],"solution":[89],"reasonable":[92],"amount":[93],"computation":[95],"time,":[96],"data":[99],"from":[100],"French":[102],"mineral":[103],"water":[104],"company.":[105],"The":[106,126],"results":[107],"are":[108],"compared":[109],"against":[110],"those":[111,120],"Cplex":[113],"solve":[115],"MIP":[117],"combined":[123],"heuristic-Cplex":[124],"procedure.":[125],"comparison":[127],"demonstrates":[128],"algorithm":[133],"works":[134],"efficiently.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}