Arias Portela, Claudia Yohana

Preferred name
Arias Portela, Claudia Yohana
Official Name
Arias Portela, Claudia Yohana
Alternative Name
cyarias
Main Affiliation
ORCID
0000-0003-3409-7157
Scopus Author ID
57212008559

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    Item type:Publication,
    Experiential Learning for Circular Operations Management in Higher Education
    (MDPI, 2024)
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    González de la Cruz, José Rubén
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    Vilalta-Perdomo, Eliseo
    This research-to-practice article delves into novel learning experiences for operations management education, involving the circular economy and experiential learning. Higher Education academics are required to develop effective learning that actively and impactfully helps nurture in students the essential competency to face sustainable development demands. In operations management education, one possibility is to integrate real-world circular economy challenges into learning activities that address issues concerning solid waste generation in business processes and operations. This type of innovative learning experience involves both conceptual understanding and practical implementation. Accordingly, experiential learning is considered a suitable pedagogy for this purpose in this work because of its hands-on applications, critical thinking, and active engagement. To illustrate this proposition, this paper presents a case study concerning an operations management undergraduate course at a Mexican university. The case study indicates how to translate a situation of solid waste generation in a business into relevant disciplinary experiential learning. The results show that students regarded the learning experience as motivating, interesting, and relevant while widely accomplishing their learning objectives. However, limitations did exist regarding experiential learning, the methodological approach, data collection, and implementation challenges. Future work points to the need for further learning experiences and to improve research reliability, transferability, and validity. ©2024 MDPI (Basel, Switzerland) unless otherwise stated.
    Scopus© Citations 4  37  1
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    Situational Awareness Errors in Forklift Logistics Operations: A Multiphase Eye-Tracking and Think-Aloud Approach
    (MDPI, 2024)
    Mora-Vargas, Jaime
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    Caro, Martha
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    Background: This study explores forklift operators’ situational awareness (SA) and human errors in logistic operations using a multiphase approach as an innovative methodology. Methods: Ethnography, eye tracking, error taxonomy, and retrospective think-aloud (RTA) were used to study the diverse cognitive, behavioral, and operational aspects affecting SA. After analyzing 566 events across 18 tasks, this research highlighted eye tracking’s potential by offering real-time insights into operator behavior and RTA’s potential as a method for cross-checking the causal factors underlying errors. Results: Critical tasks, like positioning forklifts and lowering pallets, significantly impact incident occurrence, while high-cognitive demand tasks, such as hoisting and identifying pedestrians/obstacles, reduce SA and increase errors. Driving tasks are particularly vulnerable to errors and are the most affected by operator risk generators (ORGs), representing 42% of incident risk events. This study identifies driving, hoisting, and lowering loads as the tasks most influenced by system factors. Limitations include the task difficulty levels, managing physical risk, and training. Future research is suggested in autonomous industrial vehicles and advanced driver assistance systems (ADASs). Conclusions: This study provides valuable insights into how we may improve safety in logistics operations by proposing a multiphase methodology to uncover the patterns of attention, perception, and cognitive errors and their impact on decision-making. ©The authors ©MDPI
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    Minimization of Ergonomic Risk in Autovend: Case Study—Bread Company
    (2021)
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    Godelieve Wellens, Ann
    This chapter applies a mapping process and occupational ergonomic analysis to detect the ergonomic interventions required in a distribution process for automatic vending machines. Data collection was achieved by direct measurements such as physical effort, heart and metabolic rate, and observational measurements as OWAS postural risks. These variables were interrelated to observe the correlation between the level of discomfort and cardiovascular effort, and between posture and heart rate. The methodology is developed with data collected from two distribution centers. The results suggest that most work-related accidents occur due to a lack of standardization, process documentation, and good practices. Detected problems regarding occupational profiles, physical and metabolic load above the permissible limits, and postural risks allowed to propose interventions in the distribution system, which directly improve the employee’s life quality.
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    The Use of Agent-Based Models Boosted by Digital Twins in the Supply Chain: A Literature Review
    (2019)
    Orozco-Romero, Areli
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    Marmolejo Saucedo, José Antonio
    Supply chain management has become an essential and integral part of business, it allows to reach out company’s success and customer satisfaction because it has the power to boost customer service, reduce operating costs and improve the financial standing of a company by keeping and improving competitive advantages. In the current market with a fiercer competition, shorter product life cycles, changes in technologies, and increasingly interconnected economies; supply chain management is boosted by means of mind-boggling technological innovations like Digital Twins and Agent-Based Model. Since supply chains are now building with increasingly complex and collaborative interdependencies, Agent-Based Models are an extremely useful tool when representing such relationships, to obtain a formal and more simplified description of a system (that can be as complex as the relationships between the agents of all the supply chain, from the supplier, the manufacturer, to the distributor of a product or service) and as an optimization technique for mitigation of risk. While Digital Twins are new solutions elements for enable real-time digital monitoring and control or an automatic decision maker with a higher efficiency and accuracy. © 2020, Springer Nature Switzerland AG.
    Scopus© Citations 29  15  1