Titlebook: IoT and Data Science in Engineering Management; Proceedings of the 1 Fausto Pedro García Márquez,Isaac Segovia Ramírez, Conference proceedi

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Identifying the Critical Success Factors of the Digital Transformation,tal environment. This research aims to help them implement their digital transformation successfully. The study identifies the critical success factors of digital transformation and prioritizes them to provide guidelines and recommendations on the steps that companies must take to succeed in their d

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Understanding Strategic Response to Covid-19 Crisis in Manufacturing SMEs: A Cluster Analysis,cted by the disruption generated by the COVID-19 crisis, being their strategic decisions key to maintain their competitiveness. This article explores the strategic priorities defined by managers of manufacturing SMEs to face COVID-19 related challenges. Data were collected from 167 manufacturing com

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Weaknesses Supply Chain Response Frameworks,ply chain and the beneficiaries of the response. Several frameworks have been proposed by the scientific community to help supply chain managers improve decision-making in response. In this work, a qualitative analysis of existing supply chain response frameworks was conducted to identify the charac

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Deep Reinforcement Learning for the Job Shop Scheduling Problem: Reference Axes for Modelling, Impl influences recent research on one of the most representative problems in the production planning and control (PPC) area, the job shop scheduling problem (JSSP), by identifying both the main approaches and tools applied in its modelling, implementation and validation, and the direction in which futu

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Industrial Eco-Productivity Tool: A Case Study of Industrial SMEs,rises), which have very limited resources, by identifying areas to improve and forming related projects. This structured, easy-to-apply method is based on standard systems to measure waste production efficiency and eco-efficiency and unifies them in a single reference value. In addition, a case stud

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Optimisation of Production Scheduling and Sequencing Problems in Industry 4.0,t. It reviews algorithms based on operational research technologies and artificial intelligence within an I4.0 framework; i.e. models and algorithms that simultaneously incorporate physical and digital Internet solutions, communications and data processing, and intelligence and management. The main

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