Workshop: Simulation in Complex Service Systems; Montreal, Canada; July 18-20, 2011

该研讨会的目标是确定和研究关键困难，并为涉及不确定性的复杂服务系统的数学建模和仿真的高级研究制定议程。这包括卫生保健系统、应急系统(救护车、警察、消防、自然灾害等)、物流和运输系统、运输系统、电话呼叫中心、通信网络等。其目的是开发适当的数学模型来解决这些系统中的不确定性，开发基于这些模型的仿真工具，并开发算法和软件，以优化或改进使用仿真的这些系统的设计和管理。庞大而复杂的服务系统对我们社区的福祉具有巨大的重要性。然而，这些系统的设计和管理是一个非常困难的话题，主要是因为它们的高度复杂性和涉及的大量不确定性。随机模型和基于计算机的模拟是这项任务的合适工具，但开发足够真实和可靠的模型仍处于研究阶段。研讨会将为服务系统的建模、模拟和管理确定最重要和最相关的研究问题。它将使研究人员和学生从多个角度了解一系列应用领域的复杂系统，促进这些领域的专业知识交流和新的研究合作，并为未来的研究设定议程。关于随机模拟的一份排名很高的科学期刊的一期特刊将专门介绍这次研讨会的部分稿件。研讨会结束后，还将在互联网上提供演示文稿。

The objectives of this workshop are to identify and study the key difficulties and set an agenda for advanced research in the mathematical modeling and simulation of complex service systems that involve uncertainty. This includes health-care systems, emergency systems (ambulances, police, fire fighting, natural disasters, etc.), logistic and delivery systems, transportation systems, telephone call centers, communication networks, and so on. The aim is to develop appropriate mathematical models that account for the uncertainty in these systems, develop simulation tools based on those models, and develop algorithms and software to optimize or improve the design and management of those systems using simulation. Large and complex service systems have enormous importance for the well-being of our communities. Yet the design and management of those systems is a very difficult talk, mainly because of their high complexity and the large amount of uncertainty that they involve. Stochastic models and computer-based simulation are appropriate tools for this task, but developing sufficiently realistic and reliable models is still at the research stage. The workshop will serve to identify the most important and relevant research issues for the modeling, simulation, and management of service systems. It will expose researchers and students to multiple perspectives on complex systems in a range of application areas, foster exchanges of expertise and new research collaborations across those areas, and set an agenda for future research. A special issue of a highly-ranked scientific journal on stochastic simulation will be devoted to selected contributions from this workshop. Presentations will also be made available on the internet after the workshop.