IoT and Data Science in Engineering Management -

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
Buch | Softcover
XX, 530 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-27914-0 (ISBN)
246,09 inkl. MwSt

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes on Data Engineering and Communications Technologies
Zusatzinfo XX, 530 p. 142 illus., 114 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 831 g
Themenwelt Mathematik / Informatik Informatik Netzwerke
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
Schlagworte Business Intelligence • Decision Sciences • Industrial Engineering • machine learning • Management Engineering • Management Science • Operations Management • Production Research
ISBN-10 3-031-27914-X / 303127914X
ISBN-13 978-3-031-27914-0 / 9783031279140
Zustand Neuware
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