Logistics engineering and health

This book presents the research that resulted from a fruitful collaboration between many CNRS research laboratories, health establishments and industrialists. This research contributes to the study and the development of logistical systems, in particular health-oriented logistical systems, in order...

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Main Author: Zgaya, Hayfa,
Other Authors: Hammadi, Slim,, ScienceDirect (Online service)
Format: eBook
Language: English
Published: Amsterdam : Elsevier, 2016.
Physical Description: 1 online resource.
Subjects:
Summary: This book presents the research that resulted from a fruitful collaboration between many CNRS research laboratories, health establishments and industrialists. This research contributes to the study and the development of logistical systems, in particular health-oriented logistical systems, in order to manage and optimize physical, informational and financial flows. The authors examine optimization and modeling methods to facilitate decision support for the management of logistics systems in the health field, including solutions to problems encountered in the management of logistics flows and the study of systems incorporating these flows. In the first chapter, logistics engineering is presented whilst the second chapter introduces the study of real cases of transport, management crisis and warehouse management logistics systems. The third chapter is devoted to the study of hospital systems and emergency services and in the fourth chapter, the authors highlight the operational aspect of the hospital system thanks to an innovative modeling approach. Finally, mathematical and algorithmic models of scheduling, and dynamic orchestration of the collaborative workflow by a multi-agent system, are introduced.
Item Description: Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk. StEdNL.
Includes bibliographical references and index.
Front Cover ; Logistics Engineering and Health; Copyright ; Contents; Preface; List of Acronyms; Introduction; Chapter 1 Logistics Engineering; 1.1. Introduction; 1.2. Logistics: origins and evolution; 1.3. Logistics Network: definitions, characteristics and complexity ; 1.4. Logistics typology; 1.5. Quality/logistics convergence; 1.6. Infologistics: information systems for logistics; 1.7. Possible resolution methods in favor of logistics; 1.8. Conclusion; Chapter 2 Case Studies and Contributions to the Resolution of Logistics System-related Problems; 2.1. Introduction.
2.2. Analogies between logistics systems2.3. Transport logistics ; 2.4. Crisis management logistics ; 2.5. Warehouse logistics ; 2.6. Conclusion; Chapter 3 Health Logistics: Toward Collaborative Approaches and Tools; 3.1. Introduction; 3.2. The health sector ; 3.3. Emergence of new needs; 3.4. Health logistics; 3.5. Hospital emergency services; 3.6. Hospital and healthcare information systems; 3.7. Analogy between conventional and healthcare logistics; 3.8. Conclusion; Chapter 4 Collaborative Workflow for Patient Pathway Modeling at Pediatric Emergency Services; 4.1. Introduction.
4.2. Definition of workflow4.3. Why use a "workflow approach" in health?; 4.4. Description of a workflow diagram type; 4.5. Health collaborative workflow; 4.6. Inter-operability concepts for health collaborative workflows; 4.7. Patient pathway description for PES (CHRU1 de Lille); 4.8. PES infrastructure ; 4.9. Collaborative workflow for modeling patient pathway in the steady state; 4.10. Agent-oriented approach for collaborative workflow; 4.11. Agent coalition for executing collaborative workflow; 4.12. Negotiation protocol between agents controlling a workflow instance.
4.13. Global coherence and periodic behavior of collaborative workflow4.14. Treatment of generated collaborative workflow decision points; 4.15. Summary; 4.16. Agent activities for collaborative workflow; 4.17. Conclusion; Chapter 5 Agent-based Architecture for Task Scheduling and Dynamic Orchestration Support; 5.1. Introduction; 5.2. Mathematical formulation of the scheduling problem at PES; 5.3. Multiple competence task; 5.4. Agent-based modeling; 5.5. Descrption of a SA's behavior ; 5.6. Dynamic aggregative approach for evaluating fitness function; 5.7. Workflow orchestration.
5.8. Simulation and results 5.9. Simulation and scheduling results: the SA's behavior; 5.10. Conclusion; General Conclusion and Perspectives; Bibliography; List of Authors; Index; Back Cover.
This book presents the research that resulted from a fruitful collaboration between many CNRS research laboratories, health establishments and industrialists. This research contributes to the study and the development of logistical systems, in particular health-oriented logistical systems, in order to manage and optimize physical, informational and financial flows. The authors examine optimization and modeling methods to facilitate decision support for the management of logistics systems in the health field, including solutions to problems encountered in the management of logistics flows and the study of systems incorporating these flows. In the first chapter, logistics engineering is presented whilst the second chapter introduces the study of real cases of transport, management crisis and warehouse management logistics systems. The third chapter is devoted to the study of hospital systems and emergency services and in the fourth chapter, the authors highlight the operational aspect of the hospital system thanks to an innovative modeling approach. Finally, mathematical and algorithmic models of scheduling, and dynamic orchestration of the collaborative workflow by a multi-agent system, are introduced.
Physical Description: 1 online resource.
Bibliography: Includes bibliographical references and index.
ISBN: 9780081010686
0081010680
Access: Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk.