{"id":"https://openalex.org/W3149187424","doi":"https://doi.org/10.1109/wsc.2011.6148060","title":"Shift, narrow, and chop to improve process capability","display_name":"Shift, narrow, and chop to improve process capability","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W3149187424","doi":"https://doi.org/10.1109/wsc.2011.6148060","mag":"3149187424"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2011.6148060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2011.6148060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","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/A5113850103","display_name":"Alan Bowman","orcid":null},"institutions":[{"id":"https://openalex.org/I889948113","display_name":"Union Graduate College","ror":"https://ror.org/05p9w4h97","country_code":"US","type":"education","lineage":["https://openalex.org/I16944753","https://openalex.org/I889948113"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alan Bowman","raw_affiliation_strings":["Union Graduate College, Schenectady, NY, USA"],"affiliations":[{"raw_affiliation_string":"Union Graduate College, Schenectady, NY, USA","institution_ids":["https://openalex.org/I889948113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050241629","display_name":"Josef Schmee","orcid":null},"institutions":[{"id":"https://openalex.org/I889948113","display_name":"Union Graduate College","ror":"https://ror.org/05p9w4h97","country_code":"US","type":"education","lineage":["https://openalex.org/I16944753","https://openalex.org/I889948113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Josef Schmee","raw_affiliation_strings":["Union Graduate College, Schenectady, NY, USA"],"affiliations":[{"raw_affiliation_string":"Union Graduate College, Schenectady, NY, USA","institution_ids":["https://openalex.org/I889948113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113850103"],"corresponding_institution_ids":["https://openalex.org/I889948113"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40869159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"3667","last_page":"3678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9983000159263611,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9936000108718872,"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/random-variable","display_name":"Random variable","score":0.7120437026023865},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6700103282928467},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6108607053756714},{"id":"https://openalex.org/keywords/truncation","display_name":"Truncation (statistics)","score":0.5863979458808899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5859424471855164},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5758654475212097},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5108292102813721},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.5074693560600281},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5059508681297302},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4809393286705017},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.45316967368125916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36247608065605164},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3174746334552765},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20241427421569824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17206218838691711},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12837418913841248},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11083707213401794},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.07257091999053955}],"concepts":[{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.7120437026023865},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6700103282928467},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6108607053756714},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.5863979458808899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5859424471855164},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5758654475212097},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5108292102813721},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.5074693560600281},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5059508681297302},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4809393286705017},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.45316967368125916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36247608065605164},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3174746334552765},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20241427421569824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17206218838691711},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12837418913841248},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11083707213401794},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.07257091999053955},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc.2011.6148060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2011.6148060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.416.4457","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.4457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.informs-sim.org/wsc11papers/326.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W14413052","https://openalex.org/W156495478","https://openalex.org/W156594107","https://openalex.org/W159436435","https://openalex.org/W236410074","https://openalex.org/W1964415713","https://openalex.org/W1977533995","https://openalex.org/W2007668855","https://openalex.org/W2040000820","https://openalex.org/W2041971722","https://openalex.org/W2053038790","https://openalex.org/W2060900651","https://openalex.org/W2092433731","https://openalex.org/W2140361187","https://openalex.org/W2519881875","https://openalex.org/W2940616667","https://openalex.org/W2970576388","https://openalex.org/W4235581671","https://openalex.org/W6660406760"],"related_works":["https://openalex.org/W1974935850","https://openalex.org/W2074350688","https://openalex.org/W3158981924","https://openalex.org/W2042589464","https://openalex.org/W4252883813","https://openalex.org/W2346128247","https://openalex.org/W2078650164","https://openalex.org/W3047214821","https://openalex.org/W2158562798","https://openalex.org/W3043435145"],"abstract_inverted_index":{"When":[0],"output":[1,52],"random":[2,14,106],"variables":[3],"are":[4,145],"a":[5,9,85,101],"function":[6,102],"(known":[7],"as":[8,100],"transfer":[10],"function)":[11],"of":[12,27,41,68,71,75,88,103,113,126,132],"input":[13,105,134],"variables,":[15],"Monte":[16],"Carlo":[17],"simulation":[18,89],"has":[19],"often":[20],"been":[21],"used":[22,39,93],"to":[23,30,32,63,77,79,94,128],"examine":[24],"the":[25,28,33,42,69,72,97,124,129,141],"sensitivity":[26,70],"outputs":[29,43,76],"changes":[31,78,127,144],"inputs.":[34,80],"An":[35],"important":[36],"and":[37,111],"commonly":[38],"measure":[40],"is":[44,53,121],"their":[45],"process":[46,73,98],"capability":[47,74,99],"(the":[48],"probability":[49],"that":[50],"an":[51,133],"within":[54],"specification":[55],"limits).":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,82],"show":[61,83],"how":[62,84],"efficiently":[64,95],"conduct":[65],"extensive":[66],"analysis":[67],"Specifically,":[81],"single":[86],"set":[87],"replications":[90],"can":[91],"be":[92],"estimate":[96],"each":[104],"variable's":[107],"values,":[108],"its":[109,114],"parameters,":[110],"truncation":[112],"values":[115],"at":[116],"chosen":[117],"limits.":[118],"The":[119],"approach":[120],"extremely":[122],"flexible;":[123],"effects":[125],"distributional":[130],"form":[131],"variable":[135],"alone":[136],"or":[137],"in":[138],"combination":[139],"with":[140],"previously":[142],"mentioned":[143],"easily":[146],"evaluated.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
