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Publications
Publications (26)
Determining what causes field equipment malfunction and predicting when those malfunctions will occur can save large amounts of money for corporations that are capital-intensive. To avert equipment downtime, field equipment maintenance departments must be adequately resourced. Herein, we demonstrate the efficacy of machine learning to determine tim...
This study brings back the concept of weak-form efficiency in soccer betting markets. In sports, for odds to show efficiency as the ground truth of their price, they must reflect all historical information relevant to the match outcome probabilities. The aim is to show weak-form efficiency by dismissing closing odds on the winning probability model...
The challenge tackled in this study was to develop a practical decision support tool for coordination and spatial allocation of
volunteers to aid people in isolation during lockdowns. The aim was to develop a tool that would allow for the sequential
allocation of volunteers whose number is not foreknown to offer service to as many people as possibl...
Technical analysis aims to predict market movement by examining historical data through statistical procedures. Nevertheless, it is sensitive to the parameter it is working with. An optimization problem is defined to tune technical analysis parameters by minimizing an error metric for stock return prediction. Differential Evolution is a metaheurist...
More than four out of 10 sports fans consider themselves soccer fans, making the game the world’s most popular sport. Sports are season based and constantly changing over time, as well, statistics vary according to the sport and league. Understanding sports communities in Social Networks and identifying fan’s expertise is a key indicator for soccer...
In this study, we designed a geospatial and mathematical tool for the distribution of volunteers during lockdowns to aid vulnerable groups in obtaining supplies, within the context of underdeveloped regions with insufficient resources and data. We established services proximity, senior-citizen population and marginalisation as crucial aspects of th...
Typically, women are scored with a lower financial risk than men. However, the understanding of variables and indicators that lead to such results, are not fully understood. Furthermore, the stochastic nature of the data makes it difficult to generate a suitable profile to offer an adequate financial portfolio to the women segment. As the amount, v...
Based on a case study, this paper deals with the production planning and scheduling problem of the glass container industry. This is a facility production system that has a set of furnaces where the glass is produced in order to meet the demand, being afterwards distributed to a set of parallel molding machines. Due to huge setup times involved in...
Organizations are turning to predictive analytics to help solve difficult problems and uncover new opportunities. Nowadays, the processes are saturated in data, which must be used properly to generate the necessary key information in the decision making process. Although there are several useful techniques to process and analyze data, the main valu...
In the current world, sports produce considerable data such as players skills, game results, season matches, leagues management, etc. The big challenge in sports science is to analyze this data to gain a competitive advantage. The analysis can be done using several techniques and statistical methods in order to produce valuable information. The pro...
A well designed territory enhances customer coverage, increases sales, fosters fair performance and rewards systems and lower travel cost. This paper considers a real life case study to design the sales territory for a business sales plan. The business plan consist of assigning the optimal quantity of sellers to a territory including the scheduling...
This paper proposes a methodology to define an optimal pricing strategy for convenience stores based on dimension reduction methods and uncertainty of data. The solution approach involves a multiple linear regression (MLR) as well as a linear programming optimization model. Two strategies Principal Component Analysis (PCA) and Best subset Regressio...
Radio frequency identification (RFID) is a technology most commonly used for the tracking and identification of objects. Optimally implementing RFID is challenging, especially in supply chain management where the use of passive tags is more common. Challenges in RFID implementation include, costs, standardization, privacy, performance, reliability...
Pricing is one of the most vital and highly demanded component in the mix of marketing along with the Product, Place and Promotion. An organization can adopt a number of pricing strategies, which usually will be based on corporate objectives. The purpose of this paper is to propose a methodology to define an optimal pricing strategy for convenience...
This work presents a model for the Tramp Ship Scheduling problem including berth allocation considerations, motivated by a real case of a shipping company. The aim is to determine the travel schedule for each vessel considering multiple docking and multiple time windows at the berths. This work is innovative due to the consideration of both spatial...
A well designed territory enhances customer coverage, increases sales, fosters fair performance and rewards systems and lower travel cost. This paper considers a real life case study to design a sales territory for a business sales plan. The business plan consists in assigning the optimal quantity of sellers to a territory including the scheduling...
This paper considers a real life case study that determines the minimum number of sellers required to attend a set of customers located in a certain region taking into account the weekly schedule plan of the visits, as well as the optimal route. The problem is formulated as a combination of assignment, scheduling and routing problems. In the new fo...
This work presents a model for the Tramp Ship Scheduling problem including berth allocation considerations, motivated by a real case of a shipping company. The aim is to determine the travel schedule for each vessel considering multiple docking and multiple time windows at the berths. This work is innovative due to the consideration of both spatial...
Based on a case study, this paper deals with the production planning and scheduling problem
of the glass container industry. This is a facility production system that has a set of furnaces
where the glass is produced in order to meet the demand, being afterwards distributed to a set
of parallel molding machines. Due to huge setup times involved in...
Radio frequency identification (RFID) is a technology with numerous benefits in applications where objects have to be identified automatically. However, cost, fragile tags, collision and reading errors are some of issues to be concerned with in an RFID implementation. Mainly, this paper proposes a method for tag identification and a method for the...
Radio Frequency Identification (RFID) has become a common way to track items using radio waves. The positioning of reader antennas has a significant effect on the success of the reading process. This paper presents a model for antenna positioning in order to maximize read accuracy. A solution methodology to determine optimal antenna positions is pr...
