Industry 4.0: the Power of Data : Selected Papers from the 15th International Conference on Industrial Engineering and Industrial Management (Lecture Notes in Management and Industrial Engineering)

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Industry 4.0: the Power of Data : Selected Papers from the 15th International Conference on Industrial Engineering and Industrial Management (Lecture Notes in Management and Industrial Engineering)

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  • 製本 Hardcover:ハードカバー版/ページ数 395 p.
  • 商品コード 9783031293818

Full Description

This book is a compilation of some of the best papers presented at the 15th International Conference on Industrial Engineering and Industrial Management in 2021. The Conference was promoted by ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización), organized by the University of Burgos, and it took place online on July 8 and 9, 2021.

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 decision sciences.
Industry 4.0: The Power of Data will help academic researchers and practitioners in industrial engineering and industrial management to keep abreast of state-of-the-art developments in these subjects.

Contents

1. PROTOCOL - Assessing the transversal competence of teamwork in bachelor's and master's degree by means the competency-based interview.- 2. A managerial approach to Industry 4.0 training.- 3. NetLogo teaching tool to illustrate the cooling process in simulated annealing using the Metropolis model.- 4. Fostering Youth Entrepreneurship in STEM Students for Industry 4.0 Era.- 5. Distributed ledger technology in Industry 4.0: an implementation.- 6. A bibliometric analysis of the Time Driven Activity Based Costing system. The power of cost accounting in organisations.- 7. Using data mining to analyse occupational accidents in the construction and manufacturing sector.- 8. Concept for Deployment Design of Machine Learning Models in Production.- 9. A MILP model for the lot-sizing/scheduling of automotive plastic components with raw materials and packaging availability.- 10. Design of a simulation environment for training or testing algorithms to solve the workshop sequencing problem.

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