IoT and Data Science in Engineering Management : Proceedings of the 16th International Conference on Industrial Engineering and Industrial Management and XXVI Congreso de Ingeniería de Organización (Lecture Notes on Data Engineering and Com / García Márquez, Fausto Pedro (EDT)/ Segovia Ramírez, Isaac (EDT)/ Bernalte Sánchez, Pedro José (EDT)

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IoT and Data Science in Engineering Management : Proceedings of the 16th International Conference on Industrial Engineering and Industrial Management and XXVI Congreso de Ingeniería de Organización (Lecture Notes on Data Engineering and Com

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IoT and Data Science in Engineering Management : Proceedings of the 16th International Conference on Industrial Engineering and Industrial Management and XXVI Congreso de Ingeniería de Organización (Lecture Notes on Data Engineering and Com

García Márquez, Fausto Pedro (EDT)/ Segovia Ramírez, Isaac (EDT)/ Bernalte Sánchez, Pedro José (EDT)

ウェブストア価格 ¥51,389（本体¥46,718）
Springer International Publishing AG（2023/03発売）
外貨定価 US$ 249.99
ポイント 467pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 530 p.
商品コード 9783031279140

Full Description

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.

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.