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IoT and data science in engineering ...
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International Conference on Industrial Engineering and Industrial Managment (2022 :)
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IoT and data science in engineering management = proceedings of the 16th International Conference on Industrial Engineering and Industrial Managment and XXVI Congreso de Ingeniería de Organización /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
IoT and data science in engineering management/ edited by Fausto Pedro García Márquez ... [et al.].
其他題名:
proceedings of the 16th International Conference on Industrial Engineering and Industrial Managment and XXVI Congreso de Ingeniería de Organización /
其他作者:
García Márquez, Fausto Pedro.
團體作者:
International Conference on Industrial Engineering and Industrial Managment
出版者:
Cham :Springer International Publishing : : 2023.,
面頁冊數:
xx, 530 p. :ill. (chiefly col.), digital ;24 cm.
內容註:
Barriers to Technology Deployment for Sustainable Water Management in the Spanish Food Industry -- An UCC Network Design for Sustainable Urban Logistics in Bilbao -- The LIn Back Principles as a Means of Optimising Logistical-Production Processes -- Segmentation of Industrial Sectors Based on the Characteristics of their Greenhouse Gases Emissions -- Design of a Learning Environment Based on Flip Teaching in Industrial Engineering subjects -- Reconfiguration of Multi-Business Chains Through Vertical Synergies -- Impact of Optimizing Vegetable Freshness on Agri-Food Supply Chain Design -- A Matlab-based Educational Tool for Quantitative Risk Analysis -- Combining Quality Indices in the Retail Location Problem using Generalized Linear Models -- Identification and Prioritisation of Professional Transitions in Manufacturing Operations in the New Context of Industry 4.0 -- An Iterated Prisoner's Dilemma tool to Play and Learn Inside and Outside the Class -- Requirements for the Development of a Collaboration Platform for Competency-Based Collaboration in Industrial Data Science projects.
Contained By:
Springer Nature eBook
標題:
Industrial engineering - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-031-27915-7
ISBN:
9783031279157
IoT and data science in engineering management = proceedings of the 16th International Conference on Industrial Engineering and Industrial Managment and XXVI Congreso de Ingeniería de Organización /
International Conference on Industrial Engineering and Industrial ManagmentToledo, Spain)2022 :
IoT and data science in engineering management
proceedings of the 16th International Conference on Industrial Engineering and Industrial Managment and XXVI Congreso de Ingeniería de Organización /[electronic resource] :edited by Fausto Pedro García Márquez ... [et al.]. - Cham :Springer International Publishing :2023. - xx, 530 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes on data engineering and communications technologies,v. 1602367-4520 ;. - Lecture notes on data engineering and communications technologies ;v. 160..
Barriers to Technology Deployment for Sustainable Water Management in the Spanish Food Industry -- An UCC Network Design for Sustainable Urban Logistics in Bilbao -- The LIn Back Principles as a Means of Optimising Logistical-Production Processes -- Segmentation of Industrial Sectors Based on the Characteristics of their Greenhouse Gases Emissions -- Design of a Learning Environment Based on Flip Teaching in Industrial Engineering subjects -- Reconfiguration of Multi-Business Chains Through Vertical Synergies -- Impact of Optimizing Vegetable Freshness on Agri-Food Supply Chain Design -- A Matlab-based Educational Tool for Quantitative Risk Analysis -- Combining Quality Indices in the Retail Location Problem using Generalized Linear Models -- Identification and Prioritisation of Professional Transitions in Manufacturing Operations in the New Context of Industry 4.0 -- An Iterated Prisoner's Dilemma tool to Play and Learn Inside and Outside the Class -- Requirements for the Development of a Collaboration Platform for Competency-Based Collaboration in Industrial Data Science projects.
This book presents the selected research works from the 16th International Conference on Industrial Engineering and Industrial Management in 2022. The conference was promoted by ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización), organized by Ingenium Research Group at Universidad de Castilla-La Mancha, Spain, and it took place on July 7th and 8th, 2022, in Toledo, Spain. The book highlights some of the latest research advances and cutting-edge analyses of real-world case studies on Industrial Engineering and Industrial Management from a wide range of international contexts. It also identifies business applications and the latest findings and innovations in Operations Management and in Decision Sciences.
ISBN: 9783031279157
Standard No.: 10.1007/978-3-031-27915-7doiSubjects--Topical Terms:
707953
Industrial engineering
--Congresses.
LC Class. No.: T56
Dewey Class. No.: 658.5
IoT and data science in engineering management = proceedings of the 16th International Conference on Industrial Engineering and Industrial Managment and XXVI Congreso de Ingeniería de Organización /
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Barriers to Technology Deployment for Sustainable Water Management in the Spanish Food Industry -- An UCC Network Design for Sustainable Urban Logistics in Bilbao -- The LIn Back Principles as a Means of Optimising Logistical-Production Processes -- Segmentation of Industrial Sectors Based on the Characteristics of their Greenhouse Gases Emissions -- Design of a Learning Environment Based on Flip Teaching in Industrial Engineering subjects -- Reconfiguration of Multi-Business Chains Through Vertical Synergies -- Impact of Optimizing Vegetable Freshness on Agri-Food Supply Chain Design -- A Matlab-based Educational Tool for Quantitative Risk Analysis -- Combining Quality Indices in the Retail Location Problem using Generalized Linear Models -- Identification and Prioritisation of Professional Transitions in Manufacturing Operations in the New Context of Industry 4.0 -- An Iterated Prisoner's Dilemma tool to Play and Learn Inside and Outside the Class -- Requirements for the Development of a Collaboration Platform for Competency-Based Collaboration in Industrial Data Science projects.
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