Bücher von Jorge Luis García-Alcaraz

This book presents different techniques and methodologies used to improve the intelligent decision-making process and increase the likelihood of success in companies of different sectors such as Financial Services, Education, Supply Chain, Energy Systems, Health Services, and others. The book contains and consolidates innovative and high-quality research contributions regarding the implementation of techniques and methodologies applied in different sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields such as: Logistics, Software Development, Big Data, Internet of Things, Simulation, among others. The book contents are useful for Ph.D. researchers, Ph.D. students, master and undergraduate students of different areas such as Industrial Engineering, Computer Science, Information Systems, Data Analytics, and others.

This book present the state of the art in Total Productive Maintainance (TPM) and its benefits. For each model, the authors present a measure of the dependency between the critical success factors and the benefits obtained, allowing industry managers to differentiate between essential and non-essential activities.

This book introduces the main concepts of manufacturing systems and presents several evaluation approaches for these systems' evaluation. This book presents a Macroergonomic Compatibility Model which proposes an instrument in the form of a Macroergonomic.

This book reports a literature review on kaizen, its industrial applications, critical success factors, benefits gained, journals that publish about it, main authors (research groups) and universities. The authors provide a questionnaire designed with activities in every stage, highlighting the benefits gained in each stage.

This book provides some regional aspects considered by manufacturing firms in their decisions to gain competitiveness and have effects on the performance of their supply chains (SC).