Search results for "data driven"
showing 4 items of 4 documents
Combining a data-driven approach with seasonal forecast data to predict reservoir water volume in the Mediterranean area
2023
Prolonged droughts and water scarcity have become more frequent in recent years, exacerbating the problem of the artificial reservoirs management in the Mediterranean area. This study proposes a methodology which combines a Nonlinear AutoRegressive network with eXogenous input (NARX) data-driven model with Seasonal Forecasts (SFs) data, with the aim to predict the water volume stored in reservoirs at a mid-term scale, as requested by the local authority. The methodology is applied to four Sicilian reservoirs that experienced water scarcity in the recent past. SFs produced at the European Centre for Medium-Range Weather Forecasting are used to force the NARX models. Also, the reservoirs are …
Flexible Data Driven Inventory Management with Interactive Multiobjective Lot Size Optimization
2021
We study data-driven decision support and formalise a path from data to decision making. We focus on lot sizing in inventory management with stochastic demand and propose an interactive multi-objective optimisation approach. We forecast demand with a Bayesian model, which is based on sales data. After identifying relevant objectives relying on the demand model, we formulate an optimisation problem to determine lot sizes for multiple future time periods. Our approach combines different interactive multi-objective optimisation methods for finding the best balance among the objectives. For that, a decision maker with substance knowledge directs the solution process with one’s preference inform…
Combining Social Service and Healthcare as the First Country in the World : Exploring the Impacts on Information Systems
2018
The Finnish government has decided to implement a reform in the social and healthcare system by combining the two in the future. There are several drivers for this change that have been identified. Large number of information systems that are not interoperable, challenges in data management and isolated service offering are the most significant ones. In the government’s strategy for the future the digitalisation will provide tools to solve these challenges. In this paper the landscape is outlined and the architecture choices are discussed. The enterprise architecture is applied for the largest county comprising of over 1900 social service and healthcare related information systems. The targ…
Exploring the Critical Success Factors in Social and Health Care Information Systems Project Procurement
2020
A welfare reform involving the mixing of social and health services is being introduced by the Finnish government. Several factors have been identified for this shift, the most relevant of which is that many information systems are not interoperable and data-related problems have been identified. Management and isolated offers of service. Digitalizing to solve these issues is part of the government’s policy. This paper outlines the change landscape and explores the architectural options of the proposed digitalisation process and crucial success factors. The Undertaking The design is applied to the largest county, which consists of over 1,900 information systems related to social support and…