In this paper some results obtained in the SICURO research project carried out by the Laboratory for Transport Systems Analysis (LAST) of Mediterranea University of Reggio Calabria (Italy) are presented. Microscopic models able to simulate supply and demand-supply interaction of a road transportation system in emergency conditions are described. A microscopic link model (car-following) is specified and calibrated. Parameters are calibrated from data observed during a real simulation of evacuation executed in the test site of Melito Porto Salvo (Italy). A computer application is performed in order to reproduce the evacuation phases observed. Some indicators for testing the performance of a road transportation network in emergency conditions are defined and estimated.
The interest of lean companies in tools to monitor and control their lean implementation process, i.e. their leanness level, is continuously increasing. A multitude of diverse approaches have been proposed in the literature for that purpose. In order to provide some guidance both to practitioners interested in selecting a tool and academics aiming at developing a new approach, a systematic review of the methods to measure leanness in manufacturing organisations is carried out. Thirty-one methods are identified and critically analysed based on a set of comparative dimensions. The main strengths and weaknesses of each approach are highlighted. In particular, this paper's results show that only less than a third of the methods are able to assess leanness in a complete way, taking into consideration both the degree of lean practices adoption and the performance outcomes resulting from implementation. In order to contribute to the reinforcement of a unifying view of the leanness concept, a new leanness definition is developed. Some further gaps in the literature are pointed out, providing directions for future research.
Wearable devices are pervasive solutions for increasing work efficiency, improving workers’ well-being, and creating interactions between users and the environment anytime and anywhere. Although several studies on their use in various fields have been performed, there are no systematic reviews on their utilisation in ergonomics. Therefore, we conducted a systematic review to identify wearable devices proposed in the scientific literature for ergonomic purposes and analyse how they can support the improvement of ergonomic conditions. Twenty-eight papers were retrieved and analysed thanks to eleven comparison dimensions related to ergonomic factors, purposes, and criteria, populations, application and validation. The majority of the available devices are sensor systems composed of different types and numbers of sensors located in diverse body parts. These solutions also represent the technology most frequently employed for monitoring and reducing the risk of awkward postures. In addition, smartwatches, body-mounted smartphones, insole pressure systems, and vibrotactile feedback interfaces have been developed for evaluating and/or controlling physical loads or postures. The main results and the defined framework of analysis provide an overview of the state of the art of smart wearables in ergonomics, support the selection of the most suitable ones in industrial and non-industrial settings, and suggest future research directions.
Advancements regarding Dynamic Traffic Assignment (DTA) microscopic models for the simulation of supply and demand-supply interaction of a road transportation system in emergency conditions are presented. They are related to link and node models specified in the research project SICURO, carried out by the Laboratory for Transport Systems Analysis (LAST) of the Mediterranea University of Reggio Calabria (Italy). Microscopic link (car-following) and gap-acceptance (rejection) models for non-signalized intersections are calibrated from data observed during a real simulation of evacuation. An application is performed in order to reproduce the observed evacuation phases through a set of performance indicators.
In the last two decades several Decision Support Systems (DSS) implementing transport modelling have been developed to support transport planning in ordinary conditions. However, especially since 9/11, great efforts have been made to adapt the existing DSS, on the one hand, and develop dedicated DSS, on the other, to simulate transportation systems in emergency conditions in order to support evacuation planning and/or operative stages. Nowadays, several DSS are available on the market, or have been developed as research prototypes, for the above purpose.In this paper, based upon a comprehensive literature review, a selection of DSS are analysed and compared according to their ability to support evacuation planning activities. An application is set up to test transport system simulation through a DSS implementing a microscopic DTA model in order to support evacuation planning. The objective is to test the response capabilities of a DSS in supporting the validation of procedures to be undertaken in the event of emergency evacuation. The aim of the work is to provide planners, technicians and agencies with detailed understanding of the potential and shortcomings of modelling and DSS currently available both on the market and in research.
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