{"id":"https://openalex.org/W2973004498","doi":"https://doi.org/10.23919/acc.2019.8814674","title":"An Imitation Learning Approach for Computing Anticipatory Picking Decisions in Retail Distribution Centres","display_name":"An Imitation Learning Approach for Computing Anticipatory Picking Decisions in Retail Distribution Centres","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2973004498","doi":"https://doi.org/10.23919/acc.2019.8814674","mag":"2973004498"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2019.8814674","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","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/A5075982390","display_name":"Vinita Baniwal","orcid":"https://orcid.org/0000-0002-7329-3540"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vinita Baniwal","raw_affiliation_strings":["TCS Research, Thane, 400607, India","TCS Research, Thane, India"],"affiliations":[{"raw_affiliation_string":"TCS Research, Thane, 400607, India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"TCS Research, Thane, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040067748","display_name":"Chandrai Kayal","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandrai Kayal","raw_affiliation_strings":["TCS Research, Thane, 400607, India","TCS Research, Thane, India"],"affiliations":[{"raw_affiliation_string":"TCS Research, Thane, 400607, India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"TCS Research, Thane, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072276044","display_name":"Dheeraj Shah","orcid":"https://orcid.org/0000-0001-9945-8924"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dheeraj Shah","raw_affiliation_strings":["Tata Consultancy Services, Mumbai, 400076, India","Tata Consultancy Services, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services, Mumbai, 400076, India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"Tata Consultancy Services, Mumbai, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066190765","display_name":"Padmakumar Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Padmakumar Ma","raw_affiliation_strings":["Tata Consultancy Services, Mumbai, 400076, India","Tata Consultancy Services, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services, Mumbai, 400076, India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"Tata Consultancy Services, Mumbai, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045214135","display_name":"Harshad Khadilkar","orcid":"https://orcid.org/0000-0003-3601-778X"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harshad Khadilkar","raw_affiliation_strings":["TCS Research, Thane, 400607, India","TCS Research, Thane, India"],"affiliations":[{"raw_affiliation_string":"TCS Research, Thane, 400607, India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"TCS Research, Thane, India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075982390"],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":0.7234,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80384704,"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":"4186","last_page":"4191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9458000063896179,"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/imitation","display_name":"Imitation","score":0.7412756681442261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5823882818222046},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.45870622992515564},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38484102487564087},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3262651562690735},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0946720540523529},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.059110164642333984}],"concepts":[{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.7412756681442261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5823882818222046},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.45870622992515564},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38484102487564087},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3262651562690735},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0946720540523529},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.059110164642333984},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2019.8814674","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1512069656","https://openalex.org/W1988277750","https://openalex.org/W2020584633","https://openalex.org/W2047532608","https://openalex.org/W2056736038","https://openalex.org/W2070410573","https://openalex.org/W2089387865","https://openalex.org/W2093228212","https://openalex.org/W2112420033","https://openalex.org/W2121863487","https://openalex.org/W2964250417","https://openalex.org/W2980994438"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W2748952813","https://openalex.org/W1531601525"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,23,88,143],"machine":[4],"learning":[5,112,134],"approach":[6],"for":[7,47],"controlling":[8],"the":[9,19,31,44,52,57,61,77,94],"flow":[10],"of":[11,30,56,81],"products":[12,82],"from":[13,38],"their":[14],"respective":[15],"storage":[16],"locations":[17],"to":[18,34],"packing":[20],"area":[21],"in":[22,138],"retail":[24],"distribution":[25],"center":[26],"(DC).":[27],"The":[28,102],"goal":[29],"algorithm":[32,103],"is":[33,135],"maximise":[35],"earned":[36,140],"revenue":[37],"expedited-delivery":[39],"online":[40],"orders,":[41],"by":[42,59],"extending":[43],"`booking":[45],"deadline'":[46],"placing":[48],"such":[49],"orders":[50,99],"on":[51,87,142],"retailer's":[53],"website.":[54],"Extension":[55],"deadline":[58],"making":[60],"component":[62],"processes":[63],"more":[64,136],"efficient":[65],"has":[66],"been":[67],"studied":[68],"extensively,":[69],"with":[70],"marginally":[71],"reducing":[72],"returns.":[73],"Instead,":[74],"we":[75],"anticipate":[76],"type":[78],"and":[79,91,110,130,153],"quantity":[80],"that":[83,123],"will":[84],"be":[85],"ordered":[86],"given":[89],"day,":[90],"pre-emptively":[92],"launch":[93],"delivery":[95],"process":[96],"before":[97],"actual":[98],"are":[100],"received.":[101],"combines":[104],"predictive":[105],"analytics":[106],"(for":[107,113],"forecasting":[108,124],"orders)":[109],"imitation":[111,133],"computing":[114],"optimal":[115],"picking":[116],"decisions":[117],"under":[118],"capacity":[119],"constraints).":[120],"We":[121],"show":[122],"using":[125,132,151],"long":[126],"short-term":[127],"memory":[128],"cells":[129],"decision-making":[131],"successful":[137],"maximising":[139],"revenues":[141],"public":[144],"data":[145],"set,":[146],"than":[147],"several":[148],"alternative":[149],"approaches":[150],"heuristics":[152],"traditional":[154],"time-series":[155],"methods.":[156]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}