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...
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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.
Bibliographische Angaben
- Autoren: Hayfa Zgaya , Slim Hammadi
- Verlag: Elsevier Science & Technology
- EAN: 9781785480447
Autoren-Porträt von Hayfa Zgaya, Slim Hammadi
Hayfa Zgaya is Associate Professor of Logistics and Health Informatics at the Institute of Engineering in Health of Lille, France. Her main research areas are optimization, artificial intelligence and logistics issues.
Inhaltsverzeichnis zu „Logistics Engineering and Health “
1: Logistics Engineering2: Case Studies and Contributions to the Resolution of Logistics System-related Problems3: Health Logistics: Toward Collaborative Approaches and Tools4: Collaborative Workflow for Patient Pathway Modeling at Pediatric Emergency Services5: Agent-based Architecture for Task Scheduling and Dynamic Orchestration Support
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