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
Published on 25. March 2023
Book
Paperback/Softback
XX, 530 pages
978-3-031-27914-0 (ISBN)
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.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
114 farbige Abbildungen, 28 s/w Abbildungen
XX, 530 p. 142 illus., 114 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 30 mm
Weight
832 gr
ISBN-13
978-3-031-27914-0 (9783031279140)
DOI
10.1007/978-3-031-27915-7
Schweitzer Classification
Other editions
Additional editions
Fausto Pedro García Márquez | Isaac Segovia Ramírez | Pedro José Bernalte Sánchez
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
E-Book
03/2023
Springer
€234.33
Available for download
Content
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.