A5055587690- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Supply Chain and Inventory Management
- Optimization and Packing Problems
- Neural Networks and Applications
- Assembly Line Balancing Optimization
- Manufacturing Process and Optimization
- Stock Market Forecasting Methods
- Fuzzy Logic and Control Systems
- Multi-Criteria Decision Making
- Business, Innovation, and Economy
- Embedded Systems Design Techniques
- Quality and Supply Management
- Fuzzy Systems and Optimization
- Business, Education, Mathematics Research
- Energy Load and Power Forecasting
- Blockchain Technology Applications and Security
- Complex Systems and Time Series Analysis
- Organizational Management and Innovation
- Operations Management Techniques
- Advanced Control Systems Optimization
- Vehicle Routing Optimization Methods
- Complex Systems and Decision Making
- Sustainable Supply Chain Management
- Scheduling and Timetabling Solutions
Universidad de Oviedo
2015-2024
Tecnalia
2024
Gobierno del Principado de Asturias
2024
University of Sharjah
2023
GMV Innovating Solutions (Spain)
2013-2023
Fordham University
2017-2020
University of Castilla-La Mancha
2010-2016
Universidad de Burgos
2016
Universidad de León
2014
Peking University
2014
This study describes an alternative way of applying failure mode and effects analysis (FMEA) to a wide variety problems. It presents methodology based on decision system supported by qualitative rules which provides ranking the risks potential causes production failures. By providing illustrative example, it highlights advantages this flexible over traditional FMEA model. Finally, fuzzy model is proposed, improves initial introducing element uncertainty.
Firms currently operate in highly competitive scenarios, where the environmental conditions evolve over time. Many factors intervene simultaneously and their hard-to-interpret interactions throughout supply chain greatly complicate decision-making. The complexity clearly manifests itself field of inventory management, which determining optimal replenishment rule often becomes an intractable problem. This paper applies machine learning to help managers understand these complex scenarios...
Blockchain is currently one of the most important topics in both academia and industry world, mainly due to possible effects that continuing application this new technology could have. The adoption by FinTech companies constitutes next step towards expansion blockchain its sustainability. paper conducts a mapping study on research topics, limitations, gaps future trends companies. A total 49 papers from scientific database (Web Science Core Collection) have been analyzed. results show deep...
The aim of this research is to examine the result application indicators Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), Momentum and Stochastic in different companies Spanish continuous market. By using these indicators, it intended give purchase sale recommendations small investors. generation great capital gains depends on type stock exchange company indicator which being used. In addition, solves problems case ambiguity, for traders.
In today's environment, Supply Chain Management (SCM) takes a key role in business strategy. A major challenge is achieving high customer service level under reasonable operating expense and investment. The traditional approach to SCM, based on local optimisation, proven cause of meaningful inefficiencies – e.g. the Bullwhip Effect that obstruct throughput. systemic (holistic) approach, global has been shown perform significantly better. Nevertheless, it not widely expanded, since...
While most supply chain models assume linearity, real production and distribution systems often operate in constrained contexts. This article aims to analyse the consequences of capacity limits order-up-to replenishment policy with minimum mean squared error forecasting under independently identically distributed random demand. Our study shows that impact this nonlinearity is significant should not be ignored. In regard, we introduce concept a settling capacity, which informs when our...
Purpose The analytical hierarchical process (AHP)’s main purpose is to assess higher hierarchy levels based on the cooperation of its various levels. It results in a well-designed model-based method which weights for selected attribute are calculated using dimensions, criteria, and indicators. This paper aims highlight benefits blockchain supply chain management with help literature review along opinions experts from sectors. Design/methodology/approach With goal enhancing use technology...
This study presents a robust framework for spatially explicit monitoring of soil properties and Above Ground Biomass (AGB) estimation in Mediterranean agroforestry cropland systems by integrating remote sensing (RS) artificial intelligence (AI). These variables are critical assimilation into process-based models Soil Organic Carbon (SOC) dynamics within Monitoring, Reporting, Verification (MRV) system. The was developed as part the MRV4SOC project Spain, aimed at designing comprehensive,...
ABSTRACT The aim of this research was to analyse the different results that can be achieved using support vector machines (SVM) forecast weekly change movement simulated markets. markets are developed by a GARCH model based on S&P 500. These grouped main parameter: high volatility, bearish trend, bullish trend and low volatility. inputs retained SVM traditional technical trading rules used in quantitative analysis, such as relative strength index (RSI) moving average convergence...
Purpose The Internet of things (IoT), an emerging research field, offers solutions to several problems and may result in a paradigm shift various areas, including education. However, this approach has been under-utilised. Therefore, investigates highlights the primary factors that influence impact IoT on education reveals current state academic manage higher (HE) resources effectively efficiently. Design/methodology/approach Data from 35 papers were collected analysed understand situation...
This work deals with the scheduling optimization of a Continuous Galvanizing Line (CGL) in steel industry. We introduce real-case extension CGL problem that is concerned linking campaigns. In order to link different campaigns planned at CGL, scheduler may fix start coil sequence, end coil, or both, introducing new boundary constraints sequencing problem. shows have significant impact performance current Ant Colony Optimization (ACO) algorithms use, failing find feasible solutions...