{"id":"https://openalex.org/W7204269187","doi":"https://doi.org/10.63125/kqa7tc67","title":"Design and Implementation of an AI-Driven Industrial Production and Supply-Chain Optimization System","display_name":"Design and Implementation of an AI-Driven Industrial Production and Supply-Chain Optimization System","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7204269187","doi":"https://doi.org/10.63125/kqa7tc67"},"language":"en","primary_location":{"id":"doi:10.63125/kqa7tc67","doi":"https://doi.org/10.63125/kqa7tc67","is_oa":true,"landing_page_url":"https://doi.org/10.63125/kqa7tc67","pdf_url":"https://ajdsa-journal.org/index.php/ajdsa/article/download/86/86","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"American Journal of Data Science and Analytics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ajdsa-journal.org/index.php/ajdsa/article/download/86/86","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104558187","display_name":"Md Sanjid Khan","orcid":"https://orcid.org/0009-0006-5264-0490","observed_orcids":["https://orcid.org/0009-0006-5264-0490"]},"institutions":[{"id":"https://openalex.org/I177898655","display_name":"Lamar University","ror":"https://ror.org/008ms5s18","country_code":"US","type":"education","lineage":["https://openalex.org/I177898655"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Sanjid Khan","raw_affiliation_strings":["Master\u2019s in Industrial Engineering, Lamar University, College of Engineering, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Master\u2019s in Industrial Engineering, Lamar University, College of Engineering, TX, USA","institution_ids":["https://openalex.org/I177898655"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5104558187"],"corresponding_institution_ids":["https://openalex.org/I177898655"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"07","issue":"06","first_page":"545","last_page":"589"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.9932000041007996,"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"}},"topics":[{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.9932000041007996,"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/T10763","display_name":"Digital Transformation in Industry","score":0.005799999926239252,"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/T13706","display_name":"Management and Optimization Techniques","score":0.0005000000237487257,"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/supply-chain-optimization","display_name":"supply chain optimization","score":0.9800000190734863},{"id":"https://openalex.org/keywords/production-planning-and-scheduling","display_name":"production planning and scheduling","score":0.8690000176429749},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"predictive maintenance","score":0.9860000014305115},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"demand forecasting","score":0.8820000290870667},{"id":"https://openalex.org/keywords/inventory-optimization","display_name":"inventory optimization","score":0.9980000257492065},{"id":"https://openalex.org/keywords/ai-supported-decision-making","display_name":"AI-supported decision-making","score":0.9399999976158142},{"id":"https://openalex.org/keywords/artificial-intelligence-capabilities","display_name":"AI capabilities","score":0.37700000405311584},{"id":"https://openalex.org/keywords/manufacturing-operations","display_name":"manufacturing operations","score":0.3779999911785126},{"id":"https://openalex.org/keywords/supplier-uncertainty","display_name":"supplier uncertainty","score":0.49799999594688416},{"id":"https://openalex.org/keywords/equipment-failure","display_name":"equipment failure","score":0.46700000762939453},{"id":"https://openalex.org/keywords/operational-disruption","display_name":"operational disruption","score":0.5509999990463257},{"id":"https://openalex.org/keywords/forecast-accuracy","display_name":"forecast accuracy","score":0.3959999978542328},{"id":"https://openalex.org/keywords/logistics","display_name":"logistics","score":0.43799999356269836},{"id":"https://openalex.org/keywords/information-systems-integration","display_name":"information systems integration","score":0.46299999952316284}],"concepts":[{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4927000105381012},{"id":"https://openalex.org/C82753439","wikidata":"https://www.wikidata.org/wiki/Q1419090","display_name":"Industrial production","level":2,"score":0.48330000042915344},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.46129998564720154},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.45739999413490295},{"id":"https://openalex.org/C2777909354","wikidata":"https://www.wikidata.org/wiki/Q1386523","display_name":"Production planning","level":3,"score":0.44699999690055847},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.39910000562667847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3953000009059906},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3869999945163727},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3813999891281128},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.34389999508857727},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.33959999680519104},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3395000100135803},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.30970001220703125},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C175700187","wikidata":"https://www.wikidata.org/wiki/Q187939","display_name":"Manufacturing","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C135909481","wikidata":"https://www.wikidata.org/wiki/Q17092930","display_name":"Production manager","level":3,"score":0.29170000553131104},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C2777986313","wikidata":"https://www.wikidata.org/wiki/Q1661989","display_name":"Industry 4.0","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C2780682718","wikidata":"https://www.wikidata.org/wiki/Q16321575","display_name":"Production control","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C121017731","wikidata":"https://www.wikidata.org/wiki/Q11661","display_name":"Information technology","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.63125/kqa7tc67","doi":"https://doi.org/10.63125/kqa7tc67","is_oa":true,"landing_page_url":"https://doi.org/10.63125/kqa7tc67","pdf_url":"https://ajdsa-journal.org/index.php/ajdsa/article/download/86/86","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"American Journal of Data Science and Analytics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.63125/kqa7tc67","doi":"https://doi.org/10.63125/kqa7tc67","is_oa":true,"landing_page_url":"https://doi.org/10.63125/kqa7tc67","pdf_url":"https://ajdsa-journal.org/index.php/ajdsa/article/download/86/86","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"American Journal of Data Science and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":1.0}],"study_designs":[{"display_name":"Observational Study","id":"https://openalex.org/study-designs/observational-study"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204269187.pdf","grobid_xml":"https://content.openalex.org/works/W7204269187.grobid-xml"},"referenced_works_count":101,"referenced_works":["https://openalex.org/W1507350577","https://openalex.org/W1587465434","https://openalex.org/W1957002264","https://openalex.org/W1988277750","https://openalex.org/W1999393241","https://openalex.org/W2020001905","https://openalex.org/W2029608738","https://openalex.org/W2092595282","https://openalex.org/W2151780527","https://openalex.org/W2169667133","https://openalex.org/W2464234006","https://openalex.org/W2493990996","https://openalex.org/W2508563792","https://openalex.org/W2510468186","https://openalex.org/W2513195681","https://openalex.org/W2515300481","https://openalex.org/W2527943531","https://openalex.org/W2606213502","https://openalex.org/W2607045400","https://openalex.org/W2650941562","https://openalex.org/W2728975105","https://openalex.org/W2755214325","https://openalex.org/W2766196346","https://openalex.org/W2767346351","https://openalex.org/W2773549135","https://openalex.org/W2780508324","https://openalex.org/W2788276261","https://openalex.org/W2789444712","https://openalex.org/W2794778778","https://openalex.org/W2796127131","https://openalex.org/W2805611890","https://openalex.org/W2811256013","https://openalex.org/W2811266402","https://openalex.org/W2811338889","https://openalex.org/W2890904471","https://openalex.org/W2908815325","https://openalex.org/W2910597635","https://openalex.org/W2947337027","https://openalex.org/W2950694741","https://openalex.org/W2966327746","https://openalex.org/W2972137370","https://openalex.org/W3000441679","https://openalex.org/W3002239905","https://openalex.org/W3083951899","https://openalex.org/W3089252064","https://openalex.org/W3092012490","https://openalex.org/W3095984860","https://openalex.org/W3126924255","https://openalex.org/W3147424989","https://openalex.org/W3173044051","https://openalex.org/W3192208786","https://openalex.org/W3202947993","https://openalex.org/W3208858088","https://openalex.org/W4256613398","https://openalex.org/W4387163553","https://openalex.org/W4391403992","https://openalex.org/W4400146106","https://openalex.org/W4400875868","https://openalex.org/W4403540183","https://openalex.org/W4409406482","https://openalex.org/W4410462232","https://openalex.org/W4413579665","https://openalex.org/W4414074999","https://openalex.org/W7127042614","https://openalex.org/W7160284155","https://openalex.org/W7162660564","https://openalex.org/W7162999288","https://openalex.org/W7164339685","https://openalex.org/W7165011391","https://openalex.org/W7165135458","https://openalex.org/W7165178299","https://openalex.org/W7166129553","https://openalex.org/W7168262757","https://openalex.org/W7168300217","https://openalex.org/W7169520269","https://openalex.org/W7169612239","https://openalex.org/W7169790271","https://openalex.org/W7169802183","https://openalex.org/W7169805274","https://openalex.org/W7170042829","https://openalex.org/W7170090645","https://openalex.org/W7171445811","https://openalex.org/W7171460125","https://openalex.org/W7171552416","https://openalex.org/W7171665914","https://openalex.org/W7171704020","https://openalex.org/W7171708903","https://openalex.org/W7171788439","https://openalex.org/W7172208358","https://openalex.org/W7172228797","https://openalex.org/W7172231441","https://openalex.org/W7172400722","https://openalex.org/W7202254063","https://openalex.org/W7202277093","https://openalex.org/W7202297592","https://openalex.org/W7202346904","https://openalex.org/W7202354916","https://openalex.org/W7202366232","https://openalex.org/W7203604929","https://openalex.org/W7203752695","https://openalex.org/W7203775929"],"related_works":["https://openalex.org/W7163546777","https://openalex.org/W4413434232","https://openalex.org/W7170493486","https://openalex.org/W4413243190","https://openalex.org/W7203687093","https://openalex.org/W4410875039","https://openalex.org/W7222867276","https://openalex.org/W7161829779","https://openalex.org/W4409896213","https://openalex.org/W7118012733"],"abstract_inverted_index":{"The":[0,137,238,311],"increasing":[1],"integration":[2],"of":[3,135,243,300],"artificial":[4],"intelligence":[5],"into":[6],"industrial":[7,27,61,94,315],"production":[8,62],"and":[9,23,47,55,63,74,80,95,114,124,144,150,157,164,172,176,192,286,307,333],"supply-chain":[10,64],"operations":[11],"has":[12],"created":[13],"opportunities":[14],"for":[15],"more":[16],"intelligent":[17,325],"planning,":[18,326],"forecasting,":[19,329],"maintenance,":[20,106,328],"sourcing,":[21],"logistics,":[22,109],"decision-making,":[24],"yet":[25],"many":[26],"organizations":[28,316],"continue":[29],"to":[30,53,77],"experience":[31],"fragmented":[32],"information":[33,110],"systems,":[34],"uncoordinated":[35],"AI":[36,210,309,339],"applications,":[37],"unexpected":[38],"equipment":[39],"failures,":[40],"forecasting":[41],"inaccuracies,":[42],"inventory":[43],"imbalances,":[44],"supplier":[45],"uncertainty,":[46],"operational":[48],"disruptions.":[49],"This":[50],"study":[51],"aimed":[52],"design":[54,89],"empirically":[56],"evaluate":[57],"an":[58],"integrated":[59],"AI-driven":[60],"optimization":[65,320],"system":[66],"by":[67,99,273,321],"determining":[68],"how":[69],"multiple":[70,188],"AI-enabled":[71],"capabilities":[72,335],"individually":[73],"collectively":[75],"contribute":[76],"Industrial":[78,169],"Production":[79,142],"Supply-Chain":[81],"Optimization":[82,159],"(IPSCO).":[83],"A":[84],"quantitative,":[85],"cross-sectional,":[86],"case-study-based":[87],"research":[88],"was":[90,265],"employed":[91],"using":[92],"enterprise-level":[93],"manufacturing":[96],"cases":[97],"represented":[98],"professionals":[100],"working":[101],"across":[102],"production,":[103],"operations,":[104],"engineering,":[105],"procurement,":[107,331],"inventory,":[108,330],"technology,":[111],"data":[112],"analytics,":[113],"AI-related":[115],"functions.":[116],"Of":[117],"300":[118],"questionnaires":[119],"distributed,":[120],"281":[121],"were":[122,128,140,221,294],"returned":[123],"270":[125],"valid":[126],"responses":[127],"retained,":[129],"producing":[130],"a":[131,297,337],"usable":[132],"response":[133],"rate":[134],"90.0%.":[136],"principal":[138],"variables":[139],"AI-Driven":[141,154],"Planning":[143],"Scheduling":[145],"(AIPPS),":[146],"AI-Enabled":[147,161],"Predictive":[148],"Maintenance":[149],"Process":[151],"Intelligence":[152,166],"(AIPMPI),":[153],"Demand":[155],"Forecasting":[156],"Inventory":[158],"(AIDFIO),":[160],"Supplier,":[162],"Procurement,":[163],"Logistics":[165],"(AISPLI),":[167],"Real-Time":[168],"Data":[170],"Integration":[171],"AI-Supported":[173],"Decision-Making":[174],"(RTIDAIDM),":[175],"IPSCO.":[177],"Analysis":[178],"incorporated":[179],"descriptive":[180],"statistics,":[181],"Cronbach\u2019s":[182],"alpha":[183],"reliability":[184],"testing,":[185],"Pearson":[186],"correlation,":[187,231],"regression,":[189],"capability":[190,211],"profiling,":[191],"production-supply":[193],"chain":[194],"synchronization":[195,298],"analysis.":[196],"IPSCO":[197,244],"recorded":[198],"M":[199,213],"=":[200,203,214,217,233,247,250,254,259,270,276,280,284,289],"4.18,":[201],"SD":[202,216],"0.54,":[204],"while":[205,296],"RTIDAIDM":[206,227,264],"achieved":[207],"the":[208,229,266],"highest":[209],"mean,":[212],"4.15,":[215],"0.55.":[218],"All":[219,291],"predictors":[220],"significantly":[222],"associated":[223],"with":[224,226],"IPSCO,":[225],"showing":[228],"strongest":[230,267],"r":[232],".72,":[234],"p":[235,261],"<":[236,262],".001.":[237,263],"regression":[239],"model":[240],"explained":[241],"69.9%":[242],"variance,":[245],"R":[246],".836,":[248],"R\u00b2":[249,253],".699,":[251],"adjusted":[252],".693,":[255],"F":[256],"(5,":[257],"264)":[258],"122.59,":[260],"predictor,":[268],"\u03b2":[269,275,279,283,288],".30,":[271],"followed":[272],"AIPPS,":[274],".24,":[277],"AIDFIO,":[278],".21,":[281],"AIPMPI,":[282],".18,":[285],"AISPLI,":[287],".15.":[290],"six":[292],"hypotheses":[293],"supported,":[295],"gap":[299],"only":[301],"0.05":[302],"indicated":[303],"highly":[304],"synchronized":[305],"production-side":[306],"supply-chain-side":[308],"capabilities.":[310],"findings":[312],"imply":[313],"that":[314],"can":[317],"achieve":[318],"stronger":[319],"integrating":[322],"real-time":[323],"data,":[324],"predictive":[327],"supplier,":[332],"logistics":[334],"within":[336],"coordinated":[338],"architecture.":[340]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-08-27T00:00:00"}