{"id":"https://openalex.org/W111042306","doi":"https://doi.org/10.1007/978-3-319-03756-1_7","title":"Reduction of Bullwhip Effect in Supply Chain through Improved Forecasting Method: An Integrated DWT and SVM Approach","display_name":"Reduction of Bullwhip Effect in Supply Chain through Improved Forecasting Method: An Integrated DWT and SVM Approach","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W111042306","doi":"https://doi.org/10.1007/978-3-319-03756-1_7","mag":"111042306"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-03756-1_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-03756-1_7","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5079993066","display_name":"Sanjita Jaipuria","orcid":null},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sanjita Jaipuria","raw_affiliation_strings":["Department of Mechanical Engineering, National Institute of Technology Rourkela, 769008, Odisha, India","Department of Mechanical Engineering, National Institute of Technology, Rourkela, India"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, National Institute of Technology Rourkela, 769008, Odisha, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"Department of Mechanical Engineering, National Institute of Technology, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109698812","display_name":"S.S. Mahapatra","orcid":null},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. S. Mahapatra","raw_affiliation_strings":["Department of Mechanical Engineering, National Institute of Technology Rourkela, 769008, Odisha, India","Department of Mechanical Engineering, National Institute of Technology, Rourkela, India"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, National Institute of Technology Rourkela, 769008, Odisha, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"Department of Mechanical Engineering, National Institute of Technology, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079993066"],"corresponding_institution_ids":["https://openalex.org/I16292982"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.0732172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9972000122070312,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9677000045776367,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.9043447971343994},{"id":"https://openalex.org/keywords/bullwhip-effect","display_name":"Bullwhip effect","score":0.8177013397216797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7101081013679504},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6932387351989746},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6532820463180542},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5645906329154968},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.5509672164916992},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.5011637210845947},{"id":"https://openalex.org/keywords/moving-average","display_name":"Moving average","score":0.49266964197158813},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4513395130634308},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.3727740943431854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3665304183959961},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2981659770011902},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.29634928703308105},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.2874290347099304},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.27352359890937805},{"id":"https://openalex.org/keywords/supply-chain-management","display_name":"Supply chain management","score":0.2570936679840088},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.19280490279197693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14550715684890747}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.9043447971343994},{"id":"https://openalex.org/C178595485","wikidata":"https://www.wikidata.org/wiki/Q1343909","display_name":"Bullwhip effect","level":4,"score":0.8177013397216797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7101081013679504},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6932387351989746},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6532820463180542},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5645906329154968},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.5509672164916992},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.5011637210845947},{"id":"https://openalex.org/C175706884","wikidata":"https://www.wikidata.org/wiki/Q1130194","display_name":"Moving average","level":2,"score":0.49266964197158813},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4513395130634308},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3727740943431854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3665304183959961},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2981659770011902},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.29634928703308105},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2874290347099304},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.27352359890937805},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.2570936679840088},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.19280490279197693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14550715684890747},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-03756-1_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-03756-1_7","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W137833369","https://openalex.org/W203110341","https://openalex.org/W1965067925","https://openalex.org/W1966026813","https://openalex.org/W1978775764","https://openalex.org/W1991642024","https://openalex.org/W1996021349","https://openalex.org/W2006232035","https://openalex.org/W2011231125","https://openalex.org/W2011703254","https://openalex.org/W2012079387","https://openalex.org/W2017999054","https://openalex.org/W2028016181","https://openalex.org/W2029694542","https://openalex.org/W2037744151","https://openalex.org/W2039413772","https://openalex.org/W2039675282","https://openalex.org/W2039935421","https://openalex.org/W2043052381","https://openalex.org/W2047099644","https://openalex.org/W2048267917","https://openalex.org/W2055563201","https://openalex.org/W2084175761","https://openalex.org/W2092994211","https://openalex.org/W2093079043","https://openalex.org/W2104925392","https://openalex.org/W2119402380","https://openalex.org/W2146314804","https://openalex.org/W2148391762","https://openalex.org/W2156909104","https://openalex.org/W2166304961","https://openalex.org/W2171166043","https://openalex.org/W2177895527","https://openalex.org/W2313953460","https://openalex.org/W2491811284","https://openalex.org/W2500124816","https://openalex.org/W3152144248","https://openalex.org/W4229539396","https://openalex.org/W4299397599","https://openalex.org/W4301377693"],"related_works":["https://openalex.org/W2166304961","https://openalex.org/W3190289737","https://openalex.org/W2378532152","https://openalex.org/W2391761644","https://openalex.org/W3115491726","https://openalex.org/W2073847544","https://openalex.org/W2383583652","https://openalex.org/W2567143433","https://openalex.org/W2050023151","https://openalex.org/W2620501840"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}