{"id":"https://openalex.org/W2243000427","doi":"https://doi.org/10.1109/ieem.2015.7385741","title":"Green logistics optimization model for forward and reverse logistics using genetic algorithm","display_name":"Green logistics optimization model for forward and reverse logistics using genetic algorithm","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2243000427","doi":"https://doi.org/10.1109/ieem.2015.7385741","mag":"2243000427"},"language":"en","primary_location":{"id":"doi:10.1109/ieem.2015.7385741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem.2015.7385741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5103602285","display_name":"Manoj Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Manoj Kumar","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, India","Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, India"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100328491","display_name":"Dinesh Kumar","orcid":"https://orcid.org/0000-0003-3602-4023"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dinesh Kumar","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, India","Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, India"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103602285"],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":null,"apc_paid":null,"fwci":1.1317,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82367683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"717","last_page":"720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9957000017166138,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9957000017166138,"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/T12306","display_name":"Urban and Freight Transport Logistics","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10539","display_name":"Sustainable Supply Chain Management","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"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/reverse-logistics","display_name":"Reverse logistics","score":0.9252983927726746},{"id":"https://openalex.org/keywords/remanufacturing","display_name":"Remanufacturing","score":0.7198806405067444},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.707086980342865},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.6720423102378845},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.6253103017807007},{"id":"https://openalex.org/keywords/sustainability","display_name":"Sustainability","score":0.5481486916542053},{"id":"https://openalex.org/keywords/pickup","display_name":"Pickup","score":0.5384526252746582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5340029001235962},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45334291458129883},{"id":"https://openalex.org/keywords/environmental-economics","display_name":"Environmental economics","score":0.4077184200286865},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.4030587375164032},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.35524436831474304},{"id":"https://openalex.org/keywords/manufacturing-engineering","display_name":"Manufacturing engineering","score":0.35109615325927734},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.32262372970581055},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18688127398490906},{"id":"https://openalex.org/keywords/waste-management","display_name":"Waste management","score":0.15678095817565918},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.09989306330680847}],"concepts":[{"id":"https://openalex.org/C2777382958","wikidata":"https://www.wikidata.org/wiki/Q1345498","display_name":"Reverse logistics","level":3,"score":0.9252983927726746},{"id":"https://openalex.org/C2778738845","wikidata":"https://www.wikidata.org/wiki/Q1521829","display_name":"Remanufacturing","level":2,"score":0.7198806405067444},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.707086980342865},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.6720423102378845},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.6253103017807007},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.5481486916542053},{"id":"https://openalex.org/C2776221269","wikidata":"https://www.wikidata.org/wiki/Q572648","display_name":"Pickup","level":3,"score":0.5384526252746582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5340029001235962},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45334291458129883},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.4077184200286865},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.4030587375164032},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.35524436831474304},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.35109615325927734},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.32262372970581055},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18688127398490906},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.15678095817565918},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.09989306330680847},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieem.2015.7385741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem.2015.7385741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1981990922","https://openalex.org/W2005794518","https://openalex.org/W2022583055","https://openalex.org/W2039766013","https://openalex.org/W2051316737","https://openalex.org/W2064756728","https://openalex.org/W2069850304","https://openalex.org/W2118221381","https://openalex.org/W2147424049"],"related_works":["https://openalex.org/W2393320864","https://openalex.org/W2376718076","https://openalex.org/W2183646949","https://openalex.org/W2143182855","https://openalex.org/W2359356776","https://openalex.org/W306748605","https://openalex.org/W4252412069","https://openalex.org/W390921543","https://openalex.org/W2274342512","https://openalex.org/W2365200539"],"abstract_inverted_index":{"Green":[0],"logistics":[1,56,65,107],"has":[2],"been":[3],"receiving":[4],"much":[5],"attention":[6],"due":[7],"to":[8,30,34,47,91],"more":[9,31],"focus":[10],"mainly":[11],"on":[12,143],"environmental":[13,35,52,149],"protection":[14,38],"and":[15,25,27,37,44,51,72,121,126,133,148],"conservation,":[16],"green":[17,62],"legislations,":[18],"customer's":[19],"increased":[20],"awareness":[21],"for":[22,77,110,118,162],"clean":[23],"environment,":[24],"sustainability":[26],"this":[28],"drives":[29],"importance":[32],"given":[33],"conservation":[36],"practices":[39],"like":[40],"recycle,":[41],"reprocess,":[42],"reuse":[43],"emission":[45],"control":[46],"minimize":[48],"economic":[49,147],"cost":[50,150,159],"effects.":[53],"The":[54,81,152],"reverse":[55],"is":[57,84,103,160],"a":[58,95,100,144],"key":[59],"constituent":[60],"of":[61,74,113,116,146],"logistics.":[63],"Reverse":[64],"deal":[66],"with":[67,123],"the":[68,87,92,157],"collection":[69],"re-usable":[70],"packaging":[71],"end":[73],"life":[75],"goods":[76],"recycling":[78],"or":[79],"remanufacturing.":[80],"present":[82],"research":[83],"encouraged":[85],"by":[86],"practice":[88],"oxygen":[89],"delivery":[90,122],"hospitals":[93],"in":[94,105],"predefined":[96],"time":[97,124],"window.":[98],"Here":[99],"genetic":[101],"algorithm":[102],"applied":[104],"proposed":[106],"optimization":[108],"model":[109],"generating":[111],"routes":[112,137],"two":[114,127],"models":[115],"VRP":[117],"simultaneous":[119],"pickup":[120,164],"window":[125],"pick":[128],"up":[129],"strategies":[130],"full":[131,163],"pickups":[132],"partial":[134],"pickups.":[135],"Then":[136],"are":[138],"selected":[139],"after":[140],"comparison":[141],"based":[142],"set":[145],"factors.":[151],"experimental":[153],"results":[154],"show":[155],"that":[156],"total":[158],"lower":[161],"strategy.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}