Hurtado-Hernandez, Margarita

Preferred name

Official Name

Hurtado Hernández, Margarita María Elvira

Alternative Name

mhurtado

Hurtado Hernández, Margarita

Main Affiliation

ORCID

0000-0002-8705-5578

Scopus Author ID

56163023500

Researcher ID

GBM-3031-2022

Now showing 1 - 10 of 15

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A new paradigm in solid waste collection systems design and operation
(International Society for the Systems Sciences (ISSS), 2005-12-01)
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Debernardo, Héctor
A new solid waste collection model, called MST, has been developed. It is a result of combining System Thinking and Aggregation Theory and it takes into account real world constraints such as collection frequency, labor shifts and both preventive and corrective maintenance. MST is a paradigm shift in solid waste collection systems design and operation. It makes possible a more efficient utilization of resources (vehicles and labor) and it is robust against variability sources. MST is the result of having challenged and invalidated a deeply rooted assumption in all models developed up to date. Simulation and Design Of Experiments were used to compare MST against existing models. Experimental resultsshow significant reduction in the number of trips(Up to 33%), crews(Up to 49%) and vehicles (Up to 40%), which means dramatic operation cost and investment improvements. ©International Society for the Systems Sciences (ISSS).
29 1
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A framework for studying practical production scheduling
(2014)
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Santos, Javier
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The aim of this paper is to present what we believe are the most relevant findings and results regarding practical scheduling in order to define practical production scheduling and create a framework that helps researchers to study the various topics that fall under the umbrella of practical production scheduling and to identify the current state of knowledge for each topic. Studies from different fields were analysed and included in this paper, contributing significant knowledge to build a definition of practical production scheduling. Finally, we discuss the applicability that scheduling, as a task, could have in real companies.
Scopus© Citations 14 17 1
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A conceptual framework of the applicability of production scheduling from a contingency theory approach: addressing the theory-practice gap
(Taylor & Francis Group, 2022)
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Santos, Javier
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In 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 54 2
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Reducing the variability of inter-departure times of a single-server queueing system : the effects of skewness
(2019)
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Marsillac, Erika
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Shaaban, Sabry
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A critical performance measure in serial production lines is the variability of inter-departure times of a single-server queue. Increasing upstream inter-departure time variability generates greater downstream variability, diminishing overall line performance. Theory suggests that the variability of inter-departure times of a single-server queue is reduced by decreasing the variance of inter-arrival and service times. This study investigates the effects of the skewness of inter-arrival and service time distributions on the variability of inter-departure times. Contrary to previous results suggesting that mean waiting times of a GI/G/1 queue can be reduced by increasing inter-arrival time skewness, this experimental study of a GI/G/1 queue with triangular inter-arrival and service times shows that the inter-departure time coefficient of variation is reduced through a combination of negative inter-arrival time skewness and positive service time skewness. These results also suggest that the absolute value of the negative autocorrelation between consecutive departures is reduced by the same combination of negative inter-arrival time skewness and positive service time skewness for low values of server's utilization, while positive skewness for both inter-arrival and service times reduces this value for high values of server's utilization. Finally, it was found that queue capacity constraints increase the coefficient of variation of inter-departure times, as has been previously suggested, as well as the skewness and the absolute correlation values of the inter-departure time distribution. © 2019 Elsevier Ltd
Scopus© Citations 3 12 2
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Strategy, Power and CSR: Practices and Challenges in Organizational Management
(2020)
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García Casas, Claudia María
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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 47 1
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Estimation of Quantile Confidence Intervals for Queueing Systems Based on the Bootstrap Methodology
(2017)
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This 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.
22 2
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The difference of mean waiting times between two classes of customers in a single-server FIFO queue: An experimental study
(2017)
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Previous studies have shown that the distribution of mean waiting times of different classes of customers is different for each class in a GI/G/1 queue with FIFO discipline. This experimental simulation study is motivated by those results as it investigates which are the conditions causing a difference of mean waiting times between two classes of customers using a FIFO discipline. Results from the study show that having a difference in the squared coefficient of variation of inter-arrival times between classes is the most important factor to determine whether a difference of mean waiting times between two classes exists. Furthermore, if a difference of mean service times between the two classes exists, the class with the highest mean service time will tend to have the smallest mean waiting time between the two classes, resulting in an unfair policy.
Scopus© Citations 3 9 1
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Is the scheduling task context-dependent? A survey investigating the presence of constraints in different manufacturing contexts
(2016)
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Santos, Javier
Most studies regarding real scheduling constraints only consider the constraints related to the specific manufacturing environment studied, limiting the possibility of drawing general conclusions. A survey of 50 companies was conducted in order to discover which constraints were present and what their relationship was with the scheduling context. This paper investigates which practical scheduling constraints are present in the manufacturing industry and whether the scheduling task is context-dependent. Results of this study show that some practical production constraints are context-dependent. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
Scopus© Citations 8 37 1
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The effects of supply variability on the performance of assembly systems
(2022)
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Assembly 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 9 1
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Exploiting the characteristics of serial queues to reduce the mean and variance of flow time using combined priority rules
(2018)
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Shaaban, Sabry
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Marsillac, Erika
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This paper addresses the trade-off challenge from reducing either the mean or variance of flow time when using simple sequencing rules in balanced, multi-class, serial queues. Study results show that instead of the expected zero sum situation, a balance between the two objectives can be achieved by assigning different priority rules to different queues. The order of priority rule assignments in different queues is shown to be relevant because variability along the line creates unbalanced queue lengths for each station, depending on the characteristics of the line. Thus, it was found that a simple heuristic for reducing both the mean and the variance of flow time in non-heavy traffic environments is to assign the first queue a priority rule that reduces its mean queue length while assigning the other queues a priority rule that reduces the variance of flow time. Conversely, for very-high traffic environments, performance improvements are shown from assigning the first queue a priority rule that reduces the variance of flow time while assigning the other queues a priority rule that reduces queue length. © 2017 Elsevier B.V.
Scopus© Citations 23 8 1

Hurtado-Hernandez, Margarita

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