By Hayfa Zgaya, Slim Hammadi
This publication offers the learn that resulted from a fruitful collaboration among many CNRS learn laboratories, health and wellbeing institutions and industrialists. This learn contributes to the research and the improvement of logistical structures, particularly health-oriented logistical platforms, so as to deal with and optimize actual, informational and fiscal flows.
The authors research optimization and modeling how you can facilitate determination help for the administration of logistics platforms within the future health box, together with suggestions to difficulties encountered within the administration of logistics flows and the learn of platforms incorporating those flows.
In the 1st bankruptcy, logistics engineering is gifted when the second one bankruptcy introduces the learn of actual circumstances of shipping, administration predicament and warehouse administration logistics systems.
The 3rd bankruptcy is dedicated to the examine of clinic structures and emergency companies and within the fourth bankruptcy, the authors spotlight the operational point of the sanatorium process due to an cutting edge modeling approach.
Finally, mathematical and algorithmic types of scheduling, and dynamic orchestration of the collaborative workflow by means of a multi-agent process, are introduced.
- Presents cutting edge optimization and modeling the way to supply selection help for the administration of logistics systems
- Provides suggestions to healthcare and health facility employees who needs to regulate the move of strategy matters (i.e. sufferer details, items, apparatus) and the restructuring that effects internally within the pooling of assets, specially technical platforms
- Includes solutions to difficulties encountered within the administration of logistics flows and the learn of structures incorporating those flows
- Addresses the demanding situations of caliber and pace in an cutting edge method of organizational, fiscal, technological, and informational optimization