[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127595-en":3,"doc-seo-127595-105":31,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},127595,549768064622,"Anda","https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8",8,"Research & Report","Dominant design and machine learning in new product forecasting - Doctoral thesis revised version","The dissertation develops and evaluates approaches that connect dominant design concepts with machine learning techniques to improve forecasting for new products. It frames dominant design as a driver of how products stabilize, then uses data-driven modeling to capture patterns from early market information. The work supports the production engineering focus by emphasizing practical predictive value, methodological rigor, and guidance from multiple academic advisors and reviewers. It presents a revised version of the doctoral work completed at the University of São Paulo’s Polytechnic School.","UNIVERSITY OF SÃO PAULO POLYTECHNIC SCHOOL  \nCharles Lincoln Kenji Yamamura  \nDominant design and machine learning in new product forecasting  \nSão Paulo  \nCHARLES LINCOLN KENJI YAMAMURA  \nDominant design and machine learning  \nin new product forecasting  \nRevised Version  \n(the original version is available at the  \npost graduate program unit)  \nThesis presented to the Polytechnic School of the University of São Paulo (USP) for the degree of Doctor of Science.  \nConcentration area: Production Engineering  \nAdvisors:  \nProf. Dr. Fernando Tobal Berssaneti Prof. Dr. José Carlos Curvelo Santana  \nSão Paulo  \n1  \nNome: Charles Lincoln Kenji Yamamura  \nTítulo: Dominant design and machine learning in new product forecasting  \nTese apresentada à Escola Politécnica dada Universidade de São Paulo para a obtençãodo título de Doutor em Ciências  \nÁrea de Concentração Engenharia de Produção  \nAprovado em:  \nBanca examinadora  \nProf. Dr. Fernando Tobal Berssaneti  \nInstituição: Escola Politécnica da Universidade de São Paulo – Depto Enga. Produção  \nJulgamento: Aprovado  \nProf. Dr. José Alberto Quintanilha  \nInstituição: Escola Politécnica da Universidade de São Paulo – Depto Enga. Transportes  \nJulgamento: Aprovado  \nProf. Dr. Paulo Carlos Kaminski  \nInstituição: Escola Politécnica da Universidade de São Paulo – Depto Enga. Mecânica  \nJulgamento: Aprovado  \nProf. Dr. Bruno Sanches Masiero  \nInstituição: Universidade de Campinas – Fac. de Enga. Elétrica e de Computação  \nJulgamento: Aprovado  \nProf. Dr. David Kohan Marzagão  \nInstituição: King’s College London / University of Oxford – Dept. of Engineering Science  \nJulgamento: Aprovado  \nMiguel and Duda,  \nmay the Future bring you thrilling new adventures.  \nHold on to your dreams and never give up.  \nACKNOWLEDGEMENTS  \nThis PhD dissertation marks the fulfilment of a long-time dream and it would unlikely to happen without the friends and colleagues who stayed by my side along this exciting but by no means lenient journey.  \nI owe an immense debt of gratitude to my advisor, Prof. Dr. Fernando Berssaneti, for the continuous guidance, support, and encouragement. His deep knowledge, experience, and wisdom were the beacons in my wading through academic research. I thank Prof. Dr. José Quintanilha for his always present advice, wit, and friendship. Prof. Dr. José Curvello Santana, my co-advisor, for the invaluable guidance and support. Prof. Dr. Eduardo Zancul is thepreceptor who originally encouraged me with his sapience and friendship. Prof. Dr. Paulo Kaminski, his guidance, wisdom, and generosity were fundamental to my success in the program. Prof. Dr. Celma Ribeiro has furbished my quantitative skills and her cardinal lessons will not be forgotten. Prof. Dr. Denise Dantas showed me the way of the human touch in design. I thank Prof. Dr. Bruno Masiero for the enlightening suggestions. My gratitude to Prof. Dr. Linda Hoo for the advice; Prof. Dr. Leandro Patah, for both trust and advice; Prof. Dr. Cynthia Campos and Prof. Dr. Cira Pitombo, for the technical contributions; Lidia Nogueira, for the continuous assistance; Claudia Machado, for the support and witty humor; Harmi Takiya, for the support. I thank Prof. Jim Euchner and Tammy McCausland for the precious lessons and suggestions.  \nMy gratitude and deep affection to Pri, Marcio, Duda, Miguel, Nana, and Moana, who hosted me as a new family member during the hardships of the pandemic and have always stood by my side during this pilgrimage. I thank Veronica Rothe for the longtime friendship and support. Maria Clara Gonçalves, for the always graceful and enlightened companionship. My gratitude to Samantha Paul, Fabio Boccia, Patricia Carvallo, Emy Yanagizawa, Cristiane Meirelles and David Yamamura, for the encouragement; Francisco Ocejo and Samuel Obara, for both trust and friendship; Raquel Schilis, for the words of wisdom; Sandra Mancini, Larissa Duarte and Debora Correa, for the incentive.  \nMy gratitude to the Production Engineering Depar","cbCaibVtBDQfVZph","https://ap.wps.com/l/cbCaibVtBDQfVZph","pdf",5554010,3,1,143,"English","en",105,"# Acknowledgements\n## Advisors and academic guidance\n## Support from institutions and funding\n## Personal acknowledgements","[{\"question\":\"What is the dissertation’s main theme?\",\"answer\":\"It centers on linking dominant design with machine learning methods to forecast new product outcomes.\"},{\"question\":\"Who are the dissertation’s academic advisors?\",\"answer\":\"The dissertation lists Prof. Dr. Fernando Tobal Berssaneti and Prof. Dr. José Carlos Curvelo Santana as advisors, with additional committee members also acknowledged.\"},{\"question\":\"Is this thesis the original submission?\",\"answer\":\"No—this document is labeled as the revised version of the PhD thesis.\"}]","Dominant design and machine learning in new product forecasting - Doctoral thesis revised version | PDF",1785940177,360,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":29},"dominant-design-and-machine-learning-in-new-product-forecasting-doctoral-thesis-revised-version","",{"@graph":37,"@context":86},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,51],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":20},"https://docshare.wps.com/document/research-report/",{"item":52,"name":13,"@type":44,"position":53},"https://docshare.wps.com/document/dominant-design-and-machine-learning-in-new-product-forecasting-doctoral-thesis-revised-version/127595/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-23","2026-08-05",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What is the dissertation’s main theme?","Question",{"text":76,"@type":77},"It centers on linking dominant design with machine learning methods to forecast new product outcomes.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"Who are the dissertation’s academic advisors?",{"text":81,"@type":77},"The dissertation lists Prof. Dr. Fernando Tobal Berssaneti and Prof. Dr. José Carlos Curvelo Santana as advisors, with additional committee members also acknowledged.",{"name":83,"@type":74,"acceptedAnswer":84},"Is this thesis the original submission?",{"text":85,"@type":77},"No—this document is labeled as the revised version of the PhD thesis.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":47,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":47,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]