Agent-based modelling and simulation for lecture theatre emergency evacuation

This paper presents an overview of ongoing research into the implementation of an agent-based model aimed at providing decision support for the layout design of lecture theatres and human behavioural management in emergency evacuation. The model enables the spatial layout of lecture theatres to be configured and incorporates agent behaviours at the basic movement and individual level. In terms of individual behaviours, agents can be competitive, cooperative, climb obstacles (e.g. seating and desks) and fall down. Two cases are investigated to evaluate the effects of different exit locations in lecture theatres and competitive behaviour of agents on evacuation efficiency in multiple scenarios

Solving the earthquake disaster shelter location-allocation problem using optimization heuristics

Earthquakes can cause significant disruption and devastation to populations of communities. Thus, in the event of an earthquake, it is necessary to have the right number of disaster shelters, with the appropriate capacity, in the right location in order to accommodate local communities. Mathematical models, allied with suitable optimization algorithms, have been used to determine the locations at which to construct disaster shelters and allocate the population to them. This paper compares the use of two optimization algorithms, namely a genetic algorithm and a modified particle swarm optimization, both of which have advantages and disadvantages when solving the disaster shelter location-allocation problem

Isoarchic and Multi-criteria Control of Supply Chain Network

International audienceSupply chains and more particularly supply chains networks are more and more subjected to extreme dynamic operations, where it is asked to each actor more flexibility and reactivity on the one hand and a specialization bringing more productivity on the other hand. Companies try to achieve the common goal of satisfying customers’ needs through partnership. Negotiation between partners is thus required involving each partner management and production organization. This situation makes difficult to obtain the best response with respect to the need of each customer. For that, a new approach is proposed for customer-supplier relationship control, in which the partnership is considered in the context of an association of potential suppliers within a network: an isoarchic control model for supply chains network based on a holonic architecture. The decision-making mechanism is produced thanks to the properties of a decision-making centre, called Autonomous Control Entity (ACE), associated to each actor of the logistic network, which makes it possible to quantify a multi-criteria evaluation. An implementation of the simulation of such a system is done via a distributed simulation environment HLA (High Level Architecture). A case study is presented

A method to select a successful interoperability solution through a simulation approach

(2) Evaluating the accessibility of each project regarding the current state of the organizationEnterprise applications and software systems need to be interoperable in order to achieve seamless business across organizational boundaries and thus realize virtual networked organizations. Our proposition can be considered as an interoperability project selection approach and is based on three steps: (1) Modelling both collaborative business processes and potential related interoperability project