Motion Data Based Construction Worker Training Support Tool: Case Study of Masonry Work

2018 ◽  
Author(s):  
JuHyeong Ryu ◽  
Lichen Zhang ◽  
Carl T. Haas ◽  
Eihab Abdel-Rahman
Keyword(s):  
Construction Worker ◽  
Support Tool ◽  
Training Support ◽  
Motion Data ◽  
Worker Training

scholarly journals The Importance of Environmental Factors in the Planning of Container Terminals: The Case Study of the Port of Augusta

2021 ◽  
Vol 11 (5) ◽  
pp. 2153
Author(s):  
Nadia Giuffrida ◽  
Maja Stojaković ◽  
Elen Twrdy ◽  
Matteo Ignaccolo
Keyword(s):  
Environmental Impact ◽  
Container Terminal ◽  
Decision Support Tool ◽  
Container Terminals ◽  
Mitigation Measures ◽  
Support Tool ◽  
Clean Environment ◽  
Different Levels

Container terminals are the main hubs of the global supply chain but, conversely, they play an important role in energy consumption, environmental pollution and even climate change due to carbon emissions. Assessing the environmental impact of this type of port terminal and choosing appropriate mitigation measures is essential to pursue the goals related to a clean environment and ensuring a good quality of life of the inhabitants of port cities. In this paper the authors present a Terminal Decision Support Tool (TDST) for the development of a container terminal that considers both operation efficiency and environmental impacts. The TDST provides environmental impact mitigation measures based on different levels of evolution of the port’s container traffic. An application of the TDST is conducted on the Port of Augusta (Italy), a port that is planning infrastructural interventions in coming years in order to gain a new role as a reference point for container traffic in the Mediterranean.

scholarly journals Performance assessment of alternative SSS networks by combining KPIs and factor-cluster analysis

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Patrizia Serra ◽  
Gianfranco Fancello
Keyword(s):  
Cluster Analysis ◽  
Performance Assessment ◽  
Decision Support Tool ◽  
Transport Systems ◽  
Quantitative Methodology ◽  
Support Tool ◽  
Performance Benchmarking ◽  
Relevant Variables ◽  
Quantitative Results

Abstract Performance assessment is a fundamental tool to successfully monitor and manage logistics and transport systems. In the field of Short Sea Shipping (SSS), the performance of the various maritime initiatives should be analyzed to assess the best way to achieve efficiency and guide related policies. This study proposes a quantitative methodology which can serve as a decision-support tool in the preliminary assessment and comparison of alternative SSS networks. The research is executed via a Mediterranean case study that compares a hypothetical Mediterranean ro-ro SSS network developed in the framework of a past Euro-Mediterranean cooperation project with the network of existing ro-ro liner services operating in the area. Performance benchmarking of the two networks is performed using a set of quantitative Key Performance Indicators (KPIs) and applying a factor-cluster analysis to produce homogeneous clusters of services based on the relevant variables while accounting for sample heterogeneity. Quantitative results mostly confirm the overall better performance of the prospective network and demonstrate that using KPIs and factor-cluster analysis to investigate the performance of maritime networks can provide policymakers with a preliminary wealth of knowledge that can help in setting targeted policy for SSS-oriented initiatives.

Simulation in food catering industry. A dashboard of performance indicators

2018 ◽  
Author(s):  
Alessandro Tufano ◽  
Riccardo Accorsi ◽  
Andrea Gallo ◽  
Riccardo Manzini
Keyword(s):  
Decision Support Tool ◽  
Point Of View ◽  
High Price ◽  
Main Concern ◽  
Support Tool ◽  
Safety Control ◽  
Catering Industry ◽  
Trade Offs ◽  
Single Production

"Contract catering industry is concerned with the production of ready-to-eat meals for schools, hospitals and private companies. The structure of this market is highly competitive, and customers are rarely willing to pay a high price for this catering service. A single production sites may be demanded up to 10.000 meals per day and these operations can hardly be managed via rule of thumbs without any quantitative decision support tool. This situation is common at several stages of a food supply chain and the methodologies presented in this paper are addressed to any food batch production system with similar complexity and trade-offs. This paper proposes an original KPI dashboard, designed to control costs, time and quality efficiency and helping managers to identify criticalities. Special emphasis is given on food safety control which is the management’s main concern and must be carefully monitored in each stage of the production. To calculate the value of KPIs a Montecarlo simulation approach is used to deal with production complexity and uncertainty. A case study showcases the potential of simulation in this complex industrial field. The case study illustrates an application of the methodology on an Italian company suffering local recipe contamination. The company aims at defining the best standard for production, identifying cycles being sustainable from an economic and environmental point of view."

A Data-Driven Decision Support Tool at the service of Energy suppliers and Utilities for Tackling Energy Poverty: A case study in Greece

2021 ◽  
Author(s):  
Apostolos Arsenopoulos ◽  
Elissaios Sarmas ◽  
Andriana Stavrakaki ◽  
Ioanna Giannouli ◽  
John Psarras
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Data Driven ◽  
Energy Poverty ◽  
Support Tool

M-learning as Support Tool in the Diffusion of the Traditional Food: Case Study Ambato

2020 ◽  
pp. 327-335
Author(s):  
Cristina Páez-Quinde ◽  
Francisco Torres-Oñate ◽  
Maria-Fernanda Viteri ◽  
María-Emilia Porras
Keyword(s):  
Traditional Food ◽  
Support Tool

Artificial Neural Network Models as a Decision Support Tool for Selection in Sugarcane: A Case Study Using Seedling Populations

Crop Science ◽  
2011 ◽  
Vol 51 (1) ◽  
pp. 21-31 ◽  
Author(s):  
Marvellous M. Zhou ◽  
Collins A. Kimbeng ◽  
Thomas L. Tew ◽  
Kenneth A. Gravois ◽  
Michael J. Pontif
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Decision Support ◽  
Network Models ◽  
Decision Support Tool ◽  
Neural Network Models ◽  
Support Tool ◽  
Artificial Neural ◽  
Artificial Neural Network Models

scholarly journals Robotics as a Support Tool for Experimental Optimisation of Surgical Strategies in Orthopaedic Surgery

2010 ◽  
Vol 7 (3) ◽  
pp. 231-239
Author(s):  
Manel Frigola ◽  
Manuel Vinagre ◽  
Alicia Casals ◽  
Josep Amat ◽  
Fernando Santana ◽  
...  
Keyword(s):  
Computer Simulation ◽  
Virtual Reality ◽  
Orthopaedic Surgery ◽  
Test Bed ◽  
Surgical Strategies ◽  
Support Tool ◽  
Measuring Devices ◽  
Monitoring Strategies ◽  
Interface Devices

Robotics has shown its potential not only in assisting the surgeon during an intervention but also as a tool for training and for surgical procedure's evaluation. Thus, robotics can constitute an extension of simulators that are based on the high capabilities of computer graphics. In addition, haptics has taken a first step in increasing the performance of current virtual reality systems based uniquely on computer simulation and their corresponding interface devices. As a further step in the field of training and learning in surgery, this work describes a robotic experimental workstation composed of robots and specific measuring devices, together with their corresponding control and monitoring strategies for orthopaedic surgery. Through a case study, humerus arthroplasty, experimental evaluation shows the possibilities of having a test bed available for repetitive and quantifiable trials, which make a reliable scientific comparison between different surgical strategies possible.

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