ISBN : 9780323992084
Author : Chaudhery Mustansar Hussain
Publisher : Academic Press
Year : 2023
Language : English
Type : Book
Description : Table of contents Cover image Title page Table of Contents Copyright Contributors Part I: Smart manufacturing design Chapter 1: Cloud manufacturing implementation for smart manufacturing networks Abstract 1.1. Introduction 1.2. Cloud manufacturing 1.3. CMfg approach for smart manufacturing networks 1.4. Cloud manufacturing platform implementation 1.5. Intelligent recommendation system 1.6. Recommendation system implementation 1.7. Conclusions References Chapter 2: Improving Brazilian Engineering Education: real engineering challenges in an IIoT undergraduate course Abstract Acknowledgement Introduction Modernization of Engineering Education in Brazil Real-world research problem The Industrial Internet-of-Things course Challenge-based learning and CDIO frameworks as integrated active learning methodologies The assessment tools for projects Presentation rubric Peer assessment rubrics CDIO rubrics Ethics and privacy rubric The scenario for application of integrated active learning methodologies Results Final remarks References Part II: Industry 4.0 information technology developments Chapter 3: New verification and validation tools for Industry 4.0 software Abstract Acknowledgement 3.1. Introduction 3.2. Background in software testing 3.3. MSS-based testing 3.4. TAPIR 3.5. A black-box testing technique for information visualization 3.6. Test case. Rock.AR, a software for the mining industry 3.7. Conclusions & future works References Chapter 4: Stepping stone to smarter supervision: a human-centered multidisciplinary framework Abstract DSS type, their positive effects, and those more questionable Towards a Human-Centered Design (HCD) multidisciplinary framework for DSS Phase 1. Identification of decision makers' needs and specification of the context Phase 2. Prototypes and usability testing Phase 3. Final tests and evaluation Discussion and conclusion References Part III: Industry 4.0 business developments Chapter 5: How to define a business-specific smart manufacturing solution Abstract 5.1. Introduction 5.2. Theoretical background 5.3. Focus of the chapter 5.4. Case study 5.5. Conclusion Appendix. Value stream mapping syntax References Chapter 6: Assessment of the competitiveness and effectiveness of the business model 4.0 Abstract 6.1. Introduction 6.2. Business model 4.0 6.3. Assessment of the competitiveness and effectiveness of the business model – case study 6.4. Summary References Chapter 7: Sustainable Business Models in the context of Industry 4.0 Abstract Acknowledgements Introduction What is Industry 4.0 (I4.0) and Sustainable Business Model? Review methodology How Industry 4.0 can influence the development of Sustainable Business Models? Conclusion References Chapter 8: Understanding Digital Transformation challenges: evidence from Brazilian and British manufacturers Abstract 8.1. Introduction 8.2. Literature review 8.3. Main methodological procedures 8.4. Analysis of case studies and main findings 8.5. Discussion 8.6. Final considerations References Chapter 9: Smart green supply chain management: a configurational approach for reaching sustainable performance goals and decreasing COVID-19 impact Abstract Acknowledgements Introduction Methodology Supply chain and COVID-19 Smart Supply Chain Green supply chain management – internal and external green practices Smart green supply chain management – a configurational approach Smart green supply chain and COVID-19 Conclusions References Chapter 10: Multicriteria decision making approach for selection and prioritization of projects into the digital transformation journey Abstract 10.1. Introduction 10.2. Background and related works 10.3. Proposed tool – SPREDT 10.4. Application case, results, and discussions 10.5. Conclusions References Part IV: Industry 4.0 production planning and decision making Chapter 11: Smart manufacturing scheduling with Petri nets Abstract 11.1. Introduction 11.2. Background 11.3. Metaheuristics and Petri nets 11.4. Proposed approach 11.5. Computational tests 11.6. Conclusions and future work References Chapter 12: Characterizing nervousness at the shop-floor level in the context of Industry 4.0 Abstract Acknowledgements 12.1. Introduction 12.2. Bibliometric analysis 12.3. Literature review 12.4. Schedule nervousness in a new context 12.5. The shop-floor schedule nervousness framework 12.6. Conclusions References Chapter 13: Digital and smart production planning and control Abstract 13.1. Production planning and control evolution 13.2. A bibliometric analysis on digital and smart production planning and control 13.3. Digital and smart production planning and control frameworks 13.4. Digital technologies applied in the production planning and control 13.5. The future of Production Planning and Control 4.0 concept References Chapter 14: Simulation-based generation of rescheduling knowledge using a cognitive architecture Abstract 14.1. Introduction 14.2. Conceptual modeling 14.3. Problem-Space Computational Model (PSCM) 14.4. Representation and design of schedule states and repair operators 14.5. Tuning repair operator proposition-evaluation knowledge (Kpe) by using reinforcement learning 14.6. Industrial case study 14.7. Concluding remarks and future work References Index