This paper proposes a system that supports people being evacuated effectively from dangerous situations by using multi-agent cooperation. The main feature of this system is that it does not require central servers. The system uses the mobile devices of evacuees (e.g. phones, mobile PCs, tablets) and performs distributed calculations while assessing the locations of evacuees. By using this system, the evacuees are able to know the appropriate evacuation timing. This paper focuses on the formalization of the disaster evacuation problem and how to solve it using the framework of the Distributed Constraint Optimization Problem (DCOP). In order to evaluate this system, an experiment was carried out using multi-agent simulation. The result of the experiment showed that, for the case where the evacuees can receive evacuation guidance from this system, the evacuation completion time for all evacuees (in the case) was about 10% -30% less than in the case where this system is not used.
Abstract:The aim of this paper is to present the results of an analysis of implementing enterprise resource planning (ERP) effectiveness from the perspective of implementation policy and operational effectiveness. Re-engineering has become increasingly important recently due to the rapid changes in the business environment. By implementing ERP systems, companies can standardize their business processes and thereby manage them more effectively and efficiently. However, it is difficult to achieve that kind of effectiveness and efficiency by just implementing ERP. Companies want to know the suitable way to achieve effectiveness. In Japan, ERP systems started to be implemented in the 1990s, and the installation rate to the whole enterprise system is increasing yearly in Japan. However, there are some companies that cannot achieve effectiveness, though some companies have succeeded. The authors developed a model focusing on implementation policy and customization policy, and analyzed the survey results. Data used for the analysis (182 samples) was from the ERP Users' Survey (2013). For the analysis method, covariance structure analysis using IBM®SPSS®Amos provided by International Business Machines (IBM) Corporation was conducted. This research aimed to contribute to the successful implementation of ERP in Japan.
This paper proposes a system that supports effective evacuation from danger using a Distributed Constraint Optimization Algorithm. The use of the algorithm facilitates the assisted optimization of people's evacuation timing, by estimating the location of evacuees. This system enables assistance in terms of evacuation guidance to be given to relieve congestion, by calculating evacuation routes via an adhoc network of evacuees' mobile devices (phones, PCs, etc.), intercommunication function, and location information.
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