A Blockchain Prototype for Improving Electronic Seals on Container Shipping Operations Wei Le, Adriana Moros-Daza, Maria Jubiz-Diaz, Stefan Voß Sustainability Switzerland, 2023 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.
Statistical design of an adaptive synthetic X¯$\bar{X}$ control chart for autocorrelated processes Carmen Quintero‐Arteaga, Rita Peñabaena‐Niebles, Jorge I. Vélez, Maria Jubiz‐Diaz Quality and Reliability Engineering International, 2022 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.
Concurrent Control Chart Pattern Recognition: A Systematic Review Ethel García, Rita Peñabaena-Niebles, Maria Jubiz-Diaz, Angie Perez-Tafur Mathematics, 2022 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.
Effect of Infrastructure Investment and Freight Accessibility on Gross Domestic Product: A Data-Driven Geographical Approach Maria Jubiz-Diaz, Maria Saltarin-Molino, Julian Arellana, Carlos Paternina-Arboleda, Ruben Yie-Pinedo Journal of Advanced Transportation, 2021 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.
A multi-item multi-packaging model to minimise cost of lost units, unpacking cost and CO2 emissions Maria Jubiz-Diaz, Alcides Santander-Mercado, John E. Candelo-Becerra International Journal of Production Research, 2019 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.
A multi-item flexible-packaging model to minimise the cost of lost units and CO2 emissions for flexible flow shop scheduling M Jubiz-Diaz, A Santander-Mercado, C Granadillo-Diaz Computers & Industrial Engineering 200, 110806 , 2025 2025.0
A model for predicting academic performance on standardised tests for lagging regions based on machine learning and Shapley additive explanations M Suaza-Medina, R Peñabaena-Niebles, M Jubiz-Diaz Scientific Reports 14 (1), 25306 , 2024 2024.0 Citations: 14
Labour force management in maritime ports: A comprehensive systematic literature review A Moros-Daza, M Jubiz-Diaz Heliyon 10 (11) , 2024 2024.0 Citations: 10
An optimisation model to locate level crossings in railway lines at mines to minimise the total weighted-walked distance A Santander-Mercado, R Amaya-Mier, L Castaño-Campo, M Jubiz-Diaz IATSS research 48 (1), 40-54 , 2024 2024.0 Citations: 3
A blockchain prototype for improving electronic seals on container shipping operations W Le, A Moros-Daza, M Jubiz-Diaz, S Voß Sustainability 15 (14), 11341 , 2023 2023.0 Citations: 11
A Blockchain Prototype for Improving Electronic Seals on Container Shipping Operations. Sustainability 2023, 15, 11341 W Le, A Moros-Daza, M Jubiz-Diaz, S Voß 2023.0
Statistical design of an adaptive synthetic X¯ ̄X control chart for autocorrelated processes C Quintero‐Arteaga, R Peñabaena‐Niebles, JI Vélez, M Jubiz‐Diaz Quality and Reliability Engineering International 38 (5), 2475-2500 , 2022 2022.0 Citations: 11
Concurrent control chart pattern recognition: A systematic review E Garcia, R Penabaena-Niebles, M Jubiz-Diaz, A Perez-Tafur Mathematics 10 (6), 934 , 2022 2022.0 Citations: 28
Research Article Effect of Infrastructure Investment and Freight Accessibility on Gross Domestic Product: A Data-Driven Geographical Approach M Jubiz-Diaz, M Saltarin-Molino, J Arellana, C Paternina-Arboleda, ... 2021.0
Effect of Infrastructure Investment and Freight Accessibility on Gross Domestic Product: A Data‐Driven Geographical Approach M Jubiz-Diaz, M Saltarin-Molino, J Arellana, C Paternina-Arboleda, ... Journal of Advanced Transportation 2021 (1), 5530114 , 2021 2021.0 Citations: 28
Establishing call-centre staffing levels using aggregate planning and simulation approach R Barbosa-Correa, A Santander-Mercado, M Jubiz-Diaz, ... European Journal of Industrial Engineering 14 (1), 1-33 , 2020 2020.0 Citations: 3
A multi-item multi-packaging model to minimise cost of lost units, unpacking cost and CO 2 emissions M Jubiz-Diaz, A Santander-Mercado, JE Candelo-Becerra International Journal of Production Research 57 (20), 6246-6263 , 2019 2019.0 Citations: 27
Modelling building emergency evacuation plans considering the dynamic behaviour of pedestrians using agent-based simulation KR Rozo, J Arellana, A Santander-Mercado, M Jubiz-Diaz Safety science 113, 276-284 , 2019 2019.0 Citations: 171
The economic lot scheduling problem: a survey A Santander-Mercado, M Jubiz-Diaz International Journal of Production Research 54 (16), 4973-4992 , 2016 2016.0 Citations: 33
Large Language Models in Dynamic Berth Allocation: A structural and scalability assessment of AI-assisted optimization modeling A Moros-Daza, M Jubiz-Diaz, L Coneo, S Voss Available at SSRN 6360426 , 0
Diseño y validación de un modelo de planeación y programación de la producción basado en sistemas multiproducto–multiempaque MA Júbiz Díaz Universidad del Norte , 0
MOST CITED SCHOLAR PUBLICATIONS
Modelling building emergency evacuation plans considering the dynamic behaviour of pedestrians using agent-based simulation KR Rozo, J Arellana, A Santander-Mercado, M Jubiz-Diaz Safety science 113, 276-284 , 2019 2019.0 Citations: 171
The economic lot scheduling problem: a survey A Santander-Mercado, M Jubiz-Diaz International Journal of Production Research 54 (16), 4973-4992 , 2016 2016.0 Citations: 33
Concurrent control chart pattern recognition: A systematic review E Garcia, R Penabaena-Niebles, M Jubiz-Diaz, A Perez-Tafur Mathematics 10 (6), 934 , 2022 2022.0 Citations: 28
Effect of Infrastructure Investment and Freight Accessibility on Gross Domestic Product: A Data‐Driven Geographical Approach M Jubiz-Diaz, M Saltarin-Molino, J Arellana, C Paternina-Arboleda, ... Journal of Advanced Transportation 2021 (1), 5530114 , 2021 2021.0 Citations: 28
A multi-item multi-packaging model to minimise cost of lost units, unpacking cost and CO 2 emissions M Jubiz-Diaz, A Santander-Mercado, JE Candelo-Becerra International Journal of Production Research 57 (20), 6246-6263 , 2019 2019.0 Citations: 27
A model for predicting academic performance on standardised tests for lagging regions based on machine learning and Shapley additive explanations M Suaza-Medina, R Peñabaena-Niebles, M Jubiz-Diaz Scientific Reports 14 (1), 25306 , 2024 2024.0 Citations: 14
A blockchain prototype for improving electronic seals on container shipping operations W Le, A Moros-Daza, M Jubiz-Diaz, S Voß Sustainability 15 (14), 11341 , 2023 2023.0 Citations: 11
Statistical design of an adaptive synthetic X¯ ̄X control chart for autocorrelated processes C Quintero‐Arteaga, R Peñabaena‐Niebles, JI Vélez, M Jubiz‐Diaz Quality and Reliability Engineering International 38 (5), 2475-2500 , 2022 2022.0 Citations: 11
Labour force management in maritime ports: A comprehensive systematic literature review A Moros-Daza, M Jubiz-Diaz Heliyon 10 (11) , 2024 2024.0 Citations: 10
An optimisation model to locate level crossings in railway lines at mines to minimise the total weighted-walked distance A Santander-Mercado, R Amaya-Mier, L Castaño-Campo, M Jubiz-Diaz IATSS research 48 (1), 40-54 , 2024 2024.0 Citations: 3
Establishing call-centre staffing levels using aggregate planning and simulation approach R Barbosa-Correa, A Santander-Mercado, M Jubiz-Diaz, ... European Journal of Industrial Engineering 14 (1), 1-33 , 2020 2020.0 Citations: 3
A multi-item flexible-packaging model to minimise the cost of lost units and CO2 emissions for flexible flow shop scheduling M Jubiz-Diaz, A Santander-Mercado, C Granadillo-Diaz Computers & Industrial Engineering 200, 110806 , 2025 2025.0
A Blockchain Prototype for Improving Electronic Seals on Container Shipping Operations. Sustainability 2023, 15, 11341 W Le, A Moros-Daza, M Jubiz-Diaz, S Voß 2023.0
Research Article Effect of Infrastructure Investment and Freight Accessibility on Gross Domestic Product: A Data-Driven Geographical Approach M Jubiz-Diaz, M Saltarin-Molino, J Arellana, C Paternina-Arboleda, ... 2021.0
Large Language Models in Dynamic Berth Allocation: A structural and scalability assessment of AI-assisted optimization modeling A Moros-Daza, M Jubiz-Diaz, L Coneo, S Voss Available at SSRN 6360426 , 0
Diseño y validación de un modelo de planeación y programación de la producción basado en sistemas multiproducto–multiempaque MA Júbiz Díaz Universidad del Norte , 0
