Maria Jubiz-Diaz
@uninorte.edu.co
Department of Industrial Engineering
Full-time professor
EDUCATION
B.S. and M.Sc. in Industrial Engineering
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Adriana Moros-Daza and Maria Jubiz-Diaz
Elsevier BV
Alcides Santander-Mercado, René Amaya-Mier, Laura Castaño-Campo, and Maria Jubiz-Diaz
Elsevier BV
Wei Le, Adriana Moros-Daza, Maria Jubiz-Diaz, and Stefan Voß
MDPI AG
With the widespread use of electronic seals (e-seals), their traceability and security have attracted more and more attention. Moreover, the complexity of shipping operations and container handling justifies the use of technologies to ensure information security in the face of attacks. This work contributes a blockchain-based solution with a simulated prototype for improving electronic seals for containers on terminals in ports. An electronic seal was designed, and a blockchain prototype was constructed for a container data flow. The obtained results from the prototype were evaluated using performance tests. The security issues in the blockchain were also discussed from a strategic perspective based on game theory. Finally, the simulation concluded that the blockchain improves transaction efficiency. No studies were found that integrated blockchain technology with electronic seals. Therefore, this work intends to combine blockchain technology with e-seal to improve the security of transferred data due to its immutable nature.
Carmen Quintero‐Arteaga, Rita Peñabaena‐Niebles, Jorge I. Vélez, and Maria Jubiz‐Diaz
Wiley
This paper aims to design a variable parameters synthetic X¯$\\bar{X}$ control chart for first‐order AR(1) autocorrelated data following a Gaussian process. To improve the statistical performance in detecting small changes and maintaining a low false alarm rate, the variable parameters X¯$\\bar{X}$ control chart was combined with the Conforming Run Length (CRL) sub‐chart to determine when to implement tight or relaxed control and intervene to identify an assignable cause. The statistical design of the proposed chart was performed under a discrete‐time Markov chain approach and a non‐linear programming mathematical model to obtain, using a genetic algorithm (GA), the values of the design parameters that minimise the average time to signal the out‐of‐control state ( ATS1$\\text{ATS}_{1}$ ). A sensitivity analysis was performed to examine the behaviour of the ATS1$\\text{ATS}_{1}$ in the face on changes in the parameters. Also, a performance evaluation was conducted to compare the proposed chart with other adaptive synthetic charts, the synthetic X¯$\\bar{X}$ control chart and the chart developed by Costa and Machado. Our results indicate that this proposal is faster to detect small changes in the process mean considering the autocorrelation of the data.
Ethel García, Rita Peñabaena-Niebles, Maria Jubiz-Diaz, and Angie Perez-Tafur
MDPI AG
The application of statistical methods to monitor a process is critical to ensure its stability. Statistical process control aims to detect and identify abnormal patterns that disrupt the natural behaviour of a process. Most studies in the literature are focused on recognising single abnormal patterns. However, in many industrial processes, more than one unusual control chart pattern may appear simultaneously, i.e., concurrent control chart patterns (CCP). Therefore, this paper aims to present a classification framework based on categories to systematically organise and analyse the existing literature regarding concurrent CCP recognition to provide a concise summary of the developments performed so far and a helpful guide for future research. The search only included journal articles and proceedings in the area. The literature search was conducted using Web of Science and Scopus databases. As a result, 41 studies were considered for the proposed classification scheme. It consists of categories designed to assure an in-depth analysis of the most relevant topics in this research area. Results concluded a lack of research in this research field. The main findings include the use of machine learning methods; the study of non-normally distributed processes; and the consideration of abnormal patterns different from the shift, trend, and cycle behaviours.
Maria Jubiz-Diaz, Maria Saltarin-Molino, Julian Arellana, Carlos Paternina-Arboleda, and Ruben Yie-Pinedo
Hindawi Limited
Freight transportation can be defined as the movement of goods and services to customers to obtain a monetary reward. Poor quality transport infrastructure implies higher travelling times and costs. This indirectly affects the productivity of a region since transportation costs are directly related to sales prices. Therefore, infrastructure investments become important for improving the competitiveness of a region. The problem with these investments is that they take time and require a large amount of money. Consequently, it is extremely important to prioritise this type of investment. This paper will first explain whether transportation investment or a sustainable transportation method affect the exported freight accessibility and if it also affects regional productivity using a linear regression model with the aid of a data-driven geographical information system. It uses spatial separation, gravity, and cumulative opportunity measures to calculate accessibility. Finally, the paper denotes which regions are highly affected by improvements in road, river, and railway networks using Colombia as a case study. The comparison considers travelling time and costs savings under each scenario. The results indicate that the gravity measure was the most appropriate accessibility measure for analysing the Gross Domestic Product (GDP). The scenario analyses suggest that zones farthest from the seaports are more sensitive to accessibility changes; consequently, they will receive higher improvements in their regional GDP with a national-level implementation of transport infrastructure investments. Thus, project prioritisation should be performed in regions where the investments lead to a decreased travel cost between regions and ports.
Rodrigo Barbosa Correa, Alcides Santander Mercado, María Jubiz Diaz, and Ricardo Rodríguez Ramos
Inderscience Publishers
Maria Jubiz-Diaz, Alcides Santander-Mercado, and John E. Candelo-Becerra
Informa UK Limited
This paper presents two multi-objective models that integrate packaging size and production scheduling problems for a flexible flow shop system. The main objective is to find the packaging size of finished product per item and the production schedule that would minimise cost of lost units, unpacking cost, inventory cost, earliness/tardiness penalties and kilograms of carbon dioxide emitted by resources operation. Since the complexity of the proposed models, a Pareto-based hybrid genetic algorithm (HGA) is also developed. A case study was developed to analyse the performance of both models using different instances. Numerical results indicate that the outperformance of one model over the other depends on the demand and the packaging size.
Kelly Rendón Rozo, Julian Arellana, Alcides Santander-Mercado, and Maria Jubiz-Diaz
Elsevier BV
Alcides Santander-Mercado and Maria Jubiz-Diaz
Informa UK Limited
This paper aims to present a literature review and an analysis of research works in the field of economic lot scheduling problem (ELSP) based on the related articles published since 1958. Because of ELSP complexity, there are a noticeable number of studies that use algorithms based on different approaches in order to deliver a feasible solution. Therefore, the contribution of this paper is to introduce a taxonomic classification based on scheduling policies and solving methodologies proposed by authors. Also, a simple data analysis is carried out to understand the evolution of ELSP and to identify potential research areas for further studies. The results show that there is an increasing trend in this topic but there are still much needs from industrial manufacturing systems. This study is expected to provide a comprehensive list of references for other researchers, who are interested in ELSP research.