Search results for "Decision Support System."
showing 10 items of 300 documents
A synthesis regarding the application of Expert Systems in Inventory management
2015
The paper surveys the application of Expert Systems in Inventory field in order to find out the relevant aspects needed to build an improved system. The result is a hybrid Expert System-Decision Support System that helps managers to face the uncertainty, complexity and the dynamics of the Inventory Management as the Heart of the Supply Chain Management.
Emotional Business Intelligence
2014
The domain of Emotional Business Intelligence (EBI) aims to support business-relevant emotional and emotion-aware decisions in addition to rational decision making. EBI originates from three root domains: Emotional Business, Emotional Intelligence and Business Intelligence (BI). In this paper we emphasize emotional empowerment of the traditional BI function; outline its main characteristics as a business working model of an emotionally smart, continuously learning organization; and introduce a first candidate of the EBI Toolkit, the FeelingsExplorer (FE). FE is a mash-up browser based on 4i (“ForEye”) technology, capable of visualizing objects in an emotional semantic space and thereby supp…
Deep Learning Techniques for Depression Assessment
2018
Depression is a typical mood disorder, which affects a significant number of individuals worldwide at an increasing rate. Objective measures for early detection of signs related to depression could be beneficial for clinicians with regards to a decision support system. In this paper, assessment of depression is done by applying three deep learning techniques of Convolutional Neural Network (CNN). These techniques are transfer learning using AlexNet, fine-tuning using AlexNet and building an end to end CNN. The inputs of the CNNs are a combination of Motion History Image, Landmark Motion History Image and Gabor Motion History Image, and have been generated on a depression dataset. Accuracy o…
Systems Thinking and Sustainability in Organisations
2015
This set of articles arises from a series of conferences (Business Systems Laboratory Symposia, 2013-2015) and in particular from the 2nd Business systems Laboratory International Symposium, Rome 2014 with the theme ‘Systems Thinking for a Sustainable Economy’, concerned with systems thinking and its relations with sustainable management, where the relevance of systems thinking was demonstrated. The current period of our global society is characterised by intense transformations in the competitive logics of organisations, markets, and, generally speaking, society. Social circumstances today are typified by dynamism, connectivity, nonlinearity, and emergent properties — in other words by ‘co…
Goal Programming as a Decision Model for Performance-Based Budgeting
2013
Abstract The spreadsheet applications are becoming a widely used tool for processing quantitative data and developing analytical solutions. The ability to build decision support systems (DSS) based on these spreadsheet solutions can facilitate knowledge management and increase information utilization within an organization. The paper describes the use of a spreadsheet solution to partially implement the performance-based budgeting (PB) principles for a public body. The solution builds on the goal programming optimization method and is exemplified for some real data.
Assembly support systems with Markov predictors
2020
In this paper, we analyse Markov prediction as a suitable model to suggest the next assembly step in the manufacturing process. The goal is a decision support system which can assist the workers in...
ELECTRE III to dynamically support the decision maker about the periodic replacements configurations for a multi-component system
2013
The problem tackled by the present paper concerns the selection of the elements of a repairable and stochastically deteriorating multi-component system to replace (replacements configuration) during each scheduled and periodical system stop within a finite optimization cycle, by ensuring the simultaneous minimization of both the expected total maintenance cost and the system unavailability. To solve the considered problem, a combined approach between multi-objective optimization problem (MOOP) and multi-criteria decision making (MCDM) resolution techniques is proposed. In particular, the @e constraint method is used to single out the optimal Pareto frontier whereas the ELECTRE III multi-cri…
Integration of Two Multiobjective Optimization Methods for Nonlinear Problems
2003
In this paper, we bring together two existing methods for solving multiobjective optimization problems described by nonlinear mathematical models and create methods that benefit from both heir strengths. We use the Feasible Goals Method and the NIMBUS method to form new hybrid approaches. The Feasible Goals Method (FGM) is a graphic decision support tool that combines ideas of goal programming and multiobjective methods. It is based on the transformation of numerical information given by mathematical models into a variety of feasible criterion vectors (that is, feasible goals). Visual interactive display of this variety provides information about the problem that helps the decision maker to…
Stochastic Decision Support Models and Optimal Stopping Rules in a New Product Lifetime Testing
2010
Determining when to stop a statistical test is an important management decision. Several stopping criteria have been proposed, including criteria based on statistical similarity, the probability that the system has a desired reliability, and the expected cost of remaining faults. This paper presents a new stopping rule in fixed-sample testing based on the statistical estimation of total costs involved in the decision to continue beyond an early failure as well as a stopping rule in sequential-sample testing to determine when testing should be stopped. The paper considers the problem that can be stated as follows. A new product is submitted for lifetime testing. The product will be accepted …
A Knowledge Based Decision Support System for Bioinformatics and System Biology
2011
In this paper, we present a new Decision Support System for Bioinformatics and System Biology issues. Our system is based on a Knowledge base, representing the expertise about the application domain, and a Reasoner. The Reasoner, consulting the Knowledge base and according to the user’s request, is able to suggest one or more strategies in order to resolve the selected problem. Moreover, the system can build, at different abstraction layers, a workflow for the current problem on the basis of the user’s choices, freeing the user from implementation details and assisting him in the correct configuration of the algorithms. Two possible application scenarios will be introduced: the analysis of …