Search results for "Operation"

A Fuzzy Chance-constraint Programming Model for a Home Health Care Routing Problem with Fuzzy Demand

2017

Modelling Airlines Competition on Fares and Frequencies of Service by Bi-level Optimization

2011

Abstract The research aims to understand how airlines make operative decisions on fares and frequencies of service in a competitive envi-ronment. A game approach has been developed to model the airlines’ choices in a duopolistic market. In particular, the short haul market for intercity linkages has been investigated. In this segment the air mode is in competition with other ground modes (i.e. road and high speed rail). A bi-level optimization program has been realized. The variables of model are: fares and frequencies of airlines.

Analysis of the road traffic management system in the neural network development perspective

2019

The research goal of the paper is to present the issues connected with road traffic management systems and to illustrate a management system that uses Intelligent Transportation Systems and neural networks. The use of Intelligent Transportation Systems (ITS) is a method of improving the conditions of communications, making it independent from the development of communications infrastructure. The attributes of neural networks are focused on solving the problems of optimisation, which involve the development of optimal strategies for traffic management. The proposed road traffic management system that uses ITS and neural networks can be applied in prediction of the conditions of communication…

An Effort-Accuracy Framework for IIMT

2011

In this chapter, we analyze to what extent INTACMATO meets the requirement of low effort. We take an existing effort-accuracy model, adapt and extend it to INTACMATO and show analytically the savings of effort achieved.

Optimal pricing strategies in real-time electricity pricing environments: An Italian case study

2015

The energy market has changed radically over the last decade, mainly due to an increased penetration of renewable energies. Now the end users have directly access to the energy market and can actively take part to the electricity market. Electricity customers can indeed modify their behavior through Demand Response (DR), namely by means of pricing strategies that support a change in the end-users habits. This can be accomplished through a 'loads aggregator', a third party that collects the requests and signals for Active Demand-based services coming from the markets and the different power system participants. This paper describes a new framework able to optimally select the real-time prici…

Summary of the Discussion on the Theme: “Basic Concepts and Requirements during Intravenous Alimentation”

1976

Fuzzy Techniques for Improving Satisfaction in Economic Decisions

2014

The authors use fuzzy set theory to improve classical decision-making problems by incorporating the inherent vagueness in decision-makers’ preferences into the model. They specifically study two representative models: the p-median problem and the portfolio selection problem. The first one is a location problem, which on the one hand fits many real world management situations and on the other hand is suitable for a theoretical analysis of the techniques. The version of the portfolio selection problem presented here is a harder problem, which allows the authors to show the scope of their methods. Some numerical examples are provided to illustrate how fuzzy optimal solutions improve classical …

A fuzzy programming method for optimization of autonomous logistics objects

2013

Recently several studies have explored the realization of autonomous control in production and logistic operations. In doing so, it has been tried to transmit the merit of decision-making from central controllers with offline decisions to decentralized controllers with local and real-time decision makings. However, this mission has still some drawbacks in practice. Lack of global optimization is one of them, i.e., the lost chain between the autonomous decentralized decisions at operational level and the centralized mathematical optimization with offline manner at tactical and strategic levels. This distinction can be reasonably solved by considering fuzzy parameters in mathematical programm…

An academic performance indicator using flexible multi-criteria methods

2021

Composite indicators are a very useful tool for conveying summary information on the overall performance of institutions and facilitating decision-making. Increasingly, there is a demand for indicators that allow performance to be assessed after the implementation of a strategy. This has several difficulties, and in this paper, we address three of them: how to evaluate at different points in time, how to estimate the weighting of the criteria and how to normalize the data. Our proposal is based on multicriteria techniques, using a recent method, uwTOPSIS, and is applied to data collected from 2975 students enrolled in the first year of science and engineering at the Industrial University of…

Analysis of technical criticalities for GIS modelling an Urban noise map

2017

This paper analyzes criticalities and strengthens of a procedure used to model the acoustic map of the vehicular traffic of an urban agglomeration. The research is based on a pilot project for the acoustic mapping of a portion of the city of Palermo (Italy). Simulations indicate that the acoustic climate was in line with expectations and with typical of large Italian cities. The most remarkable result was obtained by an increase in the number of reflections (from two to five), while the influence of the height of the building (from 9 to 18 meters) was negligible – on the order of a few points per thousand. Regarding the analysis conducted with the ‘Gden Method’, acoustic values do not diver…