Hurtado-Hernandez, Margarita
Main Affiliation
Preferred name
Hurtado-Hernandez, Margarita
Official Name
Hurtado Hernández, Margarita María Elvira
ORCID
0000-0002-8705-5578
Researcher ID
GBM-3031-2022
Scopus Author ID
56163023500
15 results
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Item type:Publication, Digital Twins in Supply Chain Management: A Brief Literature Review(2019); Suárez Valdés, RicardoThe rapid interest in the continuous improvement of supply chain management systems has motivated the development of digital tools in the automation of business problems. Currently, companies must continually adapt to changing conditions with respect to the management of their supply chain. However, the lack of real-time data available and responsive planning systems make this adaptation difficult. The current situation of the technology of digital twins is to migrate to the digital. More and more companies will develop and introduce their own digital twins in their business processes. This manuscript presents a literature review of the current context of digital twins. A total of 4884 searches combining keywords with respect to digital twins were analyzed. The years analyzed in the databases were 2017–2019. © 2020, Springer Nature Switzerland AG.1 18Scopus© Citations 52 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A framework for studying practical production scheduling(2014); Scopus© Citations 14 1 6 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Strategy, Power and CSR: Practices and Challenges in Organizational Management(Emerald, 2020); ; ; Organizational management, along with strategy, is the most important part of business administration. Directors must know how to manage people, make decisions and, above all, have the ability to create strategies that help organizations achieve their objectives, greater strategic competitiveness, and above-average returns. In today’s global and complex environment, traditional views towards organizational management are not enough for businesses to thrive. It’s only by bringing together different approaches can management styles develop fast enough to keep pace with the ever-changing big picture. In this innovative new look at organizational management, expert authors Santiago García-Álvarez and Connie Atristain-Suárez explore how looking through lenses of philosophy, health, communication, law, engineering, pedagogy and policy can affect a modern organization’s prospects. Built through the collective and collaborative work of the research professors at the Universidad Panamericana, this work includes interdisciplinary approaches to real-world problems. For students and researchers of business and management, this is an unmissable read. ©2020 Emerald Publishing Limited.Scopus© Citations 1 24 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Exploiting the characteristics of serial queues to reduce the mean and variance of flow time using combined priority rules(2018); Scopus© Citations 23 1 8 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The effects of supply variability on the performance of assembly systemsAssembly processes play a big role in the current business context as global supply chains depend on many subcomponents to produce a single finished product. Previous studies have shown contrasting results regarding the effect that supply variability (the variability of feeding stations) has on the performance of assembly systems, as opposed to the variability of the station matching and assembling the components. This paper aims to close this gap by studying the behaviour of simple assembly systems with differing degrees of variability allocation among the stations through an experimental simulation study. Results suggest that a reduction in feeding station variability results in higher throughput, even in systems where the variability of one of the feeding stations increases while the other decreases. Furthermore, in scenarios with high total variance, the highest throughput is reached by transferring both variance and work from one of the feeding stations to any other station, whereas in low variance systems symmetrical work transfer to the feeding stations results in the highest throughput, as previously shown. Finally, reducing feeding station variability decreased the time spent in the assembly station (waiting time for component matching plus time for the assembly operation) only in experiments with high total variance. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.Scopus© Citations 3 1 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A conceptual framework of the applicability of production scheduling from a contingency theory approach: addressing the theory-practice gapIn the last century, there was a general perception that scheduling theory was highly irrelevant to scheduling practice. Many recent studies, however, have suggested that the applicability of scheduling approaches is highly intertwined with the manufacturing environment in which the scheduling task is carried out. In this paper we used the constructs of Contingency Theory to suggest specific fits between scheduling approaches and manufacturing environments, after suggesting that the theory-practice gap in production scheduling research has been caused by three issues: (a) simplification of scheduling problems, (b) simplification of the practical scheduling task as a decision process, and (c) lack of relevance of the traditional scheduling approach to all manufacturing environments. Furthermore, we suggest that the dynamism of the state of the system and the complexity of the scheduling problem are the two constituting vectors that define the complexity of the scheduling task. We use both vectors to identify different types of manufacturing environments and propose specific fits with scheduling approaches. Finally, we hypothesize that the fit between scheduling approaches and manufacturing environments is only relevant in environments with high resource utilization where the scheduling task could have a bigger impact on a firm’s performance, and present three case studies to better exemplify the relevance of the conceptual framework. ©2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.Scopus© Citations 9 2 15 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Alineación entre métodos y necesidades de programación de la producción(2016); Scopus© Citations 2 1 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A note on defining organisational systems for contingency theory in OM(2018); 1 8Scopus© Citations 33 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Estimation of Quantile Confidence Intervals for Queueing Systems Based on the Bootstrap MethodologyThis paper presents a simple methodology for estimating confidence intervals of quantiles in queueing systems. The paper investigates the actual probability density function of quantile estimators resulting of independent replications. Furthermore, we present a methodology, based on the concepts of bootstrapping, i.e., re-sampling and sub-sampling, to calculate the variability of an estimator without running different independent replications. Contrary to what overlapping and non-overlapping batching procedures suggest, we propose to randomly select data points to form a sub-sample, instead of selecting time-consecutive data points. The results of this study suggest that this proposal reduces the correlation between sub-samples (or batches) and overcomes the issue of normality. © 2017, Springer International Publishing AG.2 6 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Serial production line performance under random variation : dealing with the "law of variability"(2019); Many Queueing Theory and Production Management studies have investigated specific effects of variability on the performance of serial lines since variability has a significant impact on performance. To date, there has been no single summary source of the most relevant research results concerned with variability, particularly as they relate to the need to better understand the ‘Law of Variability’. This paper fills this gap and provides readers the foundational knowledge needed to develop intuition and insights on the complexities of stochastic simple serial lines, and serves as a guide to better understand and manage the effects of variability and design factors related to improving serial production line performance, i.e. throughput, inter-departure time and flow time, under random variation. © 2019 The Society of Manufacturing EngineersScopus© Citations 28 2 12