Del 160 - Lecture Notes on Data Engineering and Communications Technologies

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

Häftad, Engelska, 2023

AvFausto Pedro García Márquez,Isaac Segovia Ramírez,Pedro José Bernalte Sánchez,Alba Muñoz del Río

3 179 kr

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This book presents the selected research works from the 16th International Conference on Industrial Engineering and Industrial Management in 2022.

Produktinformation

Utgivningsdatum2023-03-25
Mått155 x 235 x 30 mm
Vikt832 g
FormatHäftad
SpråkEngelska
SerieLecture Notes on Data Engineering and Communications Technologies
Antal sidor530
FörlagSpringer International Publishing AG
ISBN9783031279140

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Hårdvara inom Data och IT
Maskinteknik och material inom Naturvetenskap och teknik
Nätverk och kommunikation inom Data och IT

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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