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Supply Chain Management Theory in the Context of Populism
(Springer Nature Singapore, 2024)
Marsillac, Erika
;
Romero-Silva, Rodrigo
Businesses today rely on global supply chains that must coexist with global political ideologies. As populist ideologies become more prevalent in the twenty-first century, they therefore become a significant influence on modern supply chain management practices. This entry briefly examines and broadly describes how current populist perspectives, particularly for economic protectionism, integrate with today’s supply chain management theories and strategic activities. ©The authors ©Springer Nature.
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Dominance of leading business schools in top journals: Insights for increasing institutional representation
(Elsevier B.V., 2025)
Romero-Silva, Rodrigo
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Marsillac, Erika
;
De Leeuw, Sander
The competitive push for business schools to publish in prestigious journals has resulted in a disproportionate number of papers in prestigious Management and Operations Research/Management Science (OR/MS) journals coming from a select group of institutions. Our analysis shows the Matthew effect of prestigious journals favors established schools with 51.2 % of papers in 18 Management ABS 4* journals and 61.3 % of papers in 3 OR/MS ABS 4* journals involving authors from the 100 top business schools identified by the University of Texas at Dallas (UTD). Citation patterns are similarly concentrated among papers authored by scholars from UTD-listed business schools, with nearly 80 % of citations from 4* Management journals directed to equally rated 4* Management journals (67.8 % for 4* OR/MS journals). An initial regression analysis suggested a positive correlation between the percentage of papers in a journal attributed to authors affiliated with those leading business schools and journal citation performance. However, further examination using multi-level regression adjusted for journal prestige, using the ABS and FT50 lists, showed a negative interaction effect on citation rates for papers from these schools in prestigious OR/MS journals. This insightful finding was confirmed by a post-hoc comparison revealing no significant citation advantage in prestigious journals for papers from leading business schools over those from a broader range of institutions. Thus, while leading business schools benefit from disproportionate space in prestigious journals, this does not translate to a citation advantage for the journals themselves, indicating no Matthew effect at the journal level driven by these schools. We argue that our findings show a unique opportunity for prestigious journals and business schools to expand collaborations with institutions in geographies historically underrepresented without a significant impact on the citation performance of those journals. This inclusion would only benefit research excellence, as our results demonstrate convergence in citation rates, citation patterns on external research areas, and topics across both subsets of papers—from leading institutions and those from a broader institutional spectrum—published in prestigious journals, indicating that diversifying contributions does not compromise the performance of these journals. ©The authors ©Elsevier.
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The impact of unequal processing time variability on reliable and unreliable merging line performance
(2021)
Romero-Silva, Rodrigo
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Shaaban, Sabry
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Marsillac, Erika
;
Laarraf, Zouhair
Research on merging lines is expanding as their use grows significantly in the contexts of remanufacturing, reverse logistics and developing economies. This article is the first to study the behavior of unpaced, reliable, and unreliable merging assembly lines that are deliberately unbalanced with respect to their coefficients of variation (CV). Conducting a series of simulation runs with varying line lengths, buffer storage capacities and unbalanced CV patterns delivers intriguing results. For both reliable and unreliable lines, the best pattern for generating higher throughput is found to be a balanced configuration (equal CVs along both parallel lines), except for unreliable lines with a station buffer capacity of six. In that case, the highest throughput results from the descending configuration, i.e. concentrating the variable stations close to the beginning of both parallel lines and the steady stations towards the end of the line. Ordering from the least to most steady station also provides the best average buffer level. By exploring the experimental Pareto Frontier, this study shows the combined performance of unbalanced CV patterns for throughput and average buffer level. Study results suggest that caution should be exercised when assuming equivalent behavior from reliable and unreliable lines, or single serial lines and merging lines, since the relative throughput performance of some CV patterns changed between the different configurations.
Scopus© Citations 5 11 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)
Romero-Silva, Rodrigo
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Shaaban, Sabry
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Marsillac, Erika
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Hurtado-Hernandez, Margarita
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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Trends and topics in IJPR from 1961 to 2017: a statistical history
(2018)
Marsillac, Erika
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Romero-Silva, Rodrigo
This paper studies the history of the International Journal of Production Research (IJPR) by analysing the topics that have received the most attention in each of the journal’s publication years. Text mining exposed for scrutiny the most frequently mentioned and cited terms contained in the titles, abstracts and keywords of IJPR papers. Analyses suggest that the triad of scheduling/optimisation/simulation and supply-chain-related topics have been IJPR’s mainstays, but valuable opportunities remain for relevant topics that have not yet been concurrently and frequently studied. Results also show that terms related to sustainability and risk management topics have gained recent relevance. In addition, IJPR appears to complement its modelling technique focus with empirical methodological approaches to provide a well-balanced perspective, since the ‘case study’ term is common. Finally, a linear relationship is found between the number of papers that have covered certain topics and the number of citations those topics have received, highlighting which topics had fewer or more citations than expected, given the number of papers that covered those topics. IJPR stands as one of the most prestigious and established journals in its field and the results from this study indicate the evolving interests of the field for over half a century.
Scopus© Citations 10 10 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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Romero-Silva, Rodrigo
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Hurtado-Hernandez, Margarita
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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Reducing the variability of inter-departure times of a single-server queueing system : the effects of skewness
(2019)
Romero-Silva, Rodrigo
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Marsillac, Erika
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Shaaban, Sabry
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Hurtado-Hernandez, Margarita
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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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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Romero-Silva, Rodrigo
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Hurtado-Hernandez, Margarita
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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