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These proceedings gather a selection of peer-reviewed papers presented at the 6th Thailand Rail Academic Symposium (TRAS 2019), held at Mahidol University, Bangkok, Thailand on 21–22 November 2019. The focus is on presenting recent research on issues related to rail and metro, with a specific focus on metro performance and system design undertaken in Thailand, South East Asia and beyond. Topics presented are divided into three themes and cover topics towards sustainable transportation related to: Metro operations and system performance; Rail engineering and vehicles; Rail education and training.
These conference proceedings include a collection of articles presented at the RailExchange conference in October 2017 at Newcastle University, UK. They will be useful for researchers in developing countries looking for opportunities of knowledge exchange. The RailExchange project aimed to develop sustainable railway education in Thailand, via international partnerships and industry collaborations based around stakeholders' expertise and experiences. It involved staff exchange (academics and researchers) between Mahidol and Newcastle University for joint research and curriculum development and also organizing railway conferences and workshops in both Thailand and the UK. The papers published here focus on rail-related issues and present a perspective of a widely understood 'exchange' in academia and industry environments. 'Exchange' is perceived as rail knowledge exchange between partners, rail staff exchange between academia and/or industry, research exchange between teams, student-lecturer knowledge exchange, academia-industry collaboration, etc. In addition, more general rail-related papers are also included.
One of the main challenges facing contemporary society is to understand how people can make decisions together. Understanding Collective Decision Making builds on evolutionary theories and presents an analytical tool to analyse and visualise collective decision making. By combining theoretical research with real world case studies, the authors provide a coherent and conclusive solution to the often fragmented and dispersed literature on the subject.
In the ideal world, major decisions would be made based on complete and reliable information available to the decision maker. We live in a world of uncertainties, and decisions must be made from information which may be incomplete and may contain uncertainty. The key mathematical question addressed in this volume is "how to make decision in the presence of quantifiable uncertainty." The volume contains articles on model problems of decision making process in the energy and power industry when the available information is noisy and/or incomplete. The major tools used in studying these problems are mathematical modeling and optimization techniques; especially stochastic optimization. These articles are meant to provide an insight into this rapidly developing field, which lies in the intersection of applied statistics, probability, operations research, and economic theory. It is hoped that the present volume will provide entry to newcomers into the field, and stimulation for further research.
These proceedings gather contributions presented at the 4th International Conference on Applied Operational Research (ICAOR 2012) in Bangkok, Thailand, July 25-27, 2012, published in the series Lecture Notes in Management Science (LNMS). The conference covers all aspects of Operational Research and Management Science (OR/MS) with a particular emphasis on applications.
Understand the Strategic Behavior in Queueing SystemsRational Queueing provides one of the first unified accounts of the dynamic aspects involved in the strategic behavior in queues. It explores the performance of queueing systems where multiple agents, such as customers, servers, and central managers, all act but often in a noncooperative manner.T