Hurtado-Hernandez, Margarita

Main Affiliation

Preferred name

Official Name

Hurtado Hernández, Margarita María Elvira

ORCID

0000-0002-8705-5578

Researcher ID

GBM-3031-2022

Scopus Author ID

56163023500

Now showing 1 - 10 of 15

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Alineación entre métodos y necesidades de programación de la producción
(2016)
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Santos García, Javier
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Este artículo sugiere una alineación entre entornos de producción y metodologías de programación de la producción de acuerdo a las necesidades de programación de cada tipo de entorno de producción. El estudio considera dos tipos de entornos de planificación y, dependiendo de sus necesidades de planificación, propone los métodos que mejor se puedan ajustar para soportar la tarea de la programación de la producción
Scopus© Citations 2 12 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 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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Digital Twins in Supply Chain Management: A Brief Literature Review
(2019)
Marmolejo Saucedo, José Antonio
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Suárez Valdés, Ricardo
The 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.
Scopus© Citations 45 19 1
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Serial production line performance under random variation : dealing with the "law of variability"
(2019)
Marsillac, Erika
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Shaaban, Sabry
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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 Engineers
Scopus© Citations 28 28 2
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Studying the effects of the skewness of inter-arrival and service times on the probability distribution of waiting times
(2020)
Shaaban, Sabry
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Marsillac, Erika
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Previous studies have shown that the mean queue length of a GI/G/1 system is significantly influenced by the skewness of inter-arrival times, but not by the skewness of service times. These results are limited because all the distributions considered in previous studies were positively skewed. To address this limitation, this paper investigates the effects of the skewness of inter-arrival and service times on the probability distribution of waiting times, when a negatively skewed distribution is used to model inter-arrival and service times. Subsequent to a series of experiments on a GI/G/1 queue using discrete-event simulation, results have shown that the lowest mean waiting time and the lowest variance of waiting times can be attained with a combination of positive inter-arrival skewness and negative service skewness. Results also show an interesting effect of the skewness of service times in the probability of no-delay in environments with a higher utilization factor. © 2020 Brazilian Operations Research Society.
Scopus© Citations 1 41 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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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
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A note on defining organisational systems for contingency theory in OM
(2018)
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Santos, Javier
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This paper aims to improve the applicability and relevance of contingency theory research in the field of Operations Management. Based on the results of previous studies, we have identified a systems-based single definition of organisation types that could describe the fit between organisational environment and organisational structure. This definition of organisation type, which we call an ‘organisational system’, regards the organisation as an integrated whole instead of as a sum of its parts and can help to better classify organisations in order to identify fits between organisation types and emerging practices in Operations Management. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
Scopus© Citations 27 8 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

Hurtado-Hernandez, Margarita

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