Assoc. Prof. Pisit Jarumaneeroj, Ph.D.
- 7th Floor of Engineering 4 Bldg., Room 702
- +66-2218-6842
- pisit.ja@chula.ac.th
Overview
Dr. Pisit Jarumaneeroj is an Associate Professor at the Department of Industrial Engineering, Chulalongkorn University. His research focuses not only on the applications of optimization in the field of Logistics and Supply Chain Management but also the analysis of complicated transportation networks, where one of his publications concerning a development of new connectivity index for container ports is awarded a prize from the publisher.
Education
Ph.D. Supply Chain Engineering
Georgia Institute of Technology, United States, 2014
M.S. Industrial Engineering
Georgia Institute of Technology, United States, 2009
B.Eng Industrial Engineering (First Class Honours)
Chulalongkorn University, Thailand, 2004
Expertise
Operations Research
Publications
2024
Mark Ching-Pong Poo, Zaili Yang, Yui-yip Lau, Pisit Jarumaneeroj
Assessing the impact of Arctic shipping routes on the global container shipping network’s connectivity Journal Article
In: Polar Geography, vol. 47, no. 3, pp. 219 – 239, 2024, (Cited by: 7; All Open Access, Green Open Access, Hybrid Gold Open Access).
@article{Poo2024219,
title = {Assessing the impact of Arctic shipping routes on the global container shipping network’s connectivity},
author = {Mark Ching-Pong Poo and Zaili Yang and Yui-yip Lau and Pisit Jarumaneeroj},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203686839&doi=10.1080%2f1088937X.2024.2399775&partnerID=40&md5=45ce2c427892e7fd6ef29fc7d2daf112},
doi = {10.1080/1088937X.2024.2399775},
year = {2024},
date = {2024-01-01},
journal = {Polar Geography},
volume = {47},
number = {3},
pages = {219 – 239},
publisher = {Taylor and Francis Ltd.},
abstract = {Amidst the intensifying impact of climate change, the extension of navigable periods along Arctic Shipping Routes (ASRs) has garnered attention as a maritime route for container vessels. The urgency to comprehend the reverberations of ASRs on the global container shipping network (GCSN) led to the development of the Latitudinal Centrality Index (LCI), which integrates latitude and centrality in maritime analysis. This index evaluates ASRs’ influence across 968 port nodes within the GCSN. By exploring scenarios encompassing seasonal fluctuations over the years, this study delves into the sway of ASRs compared to a benchmark state devoid of ASR engagement. The study’s revelations highlight a discovery: the assimilation of ASRs augments interconnectivity, or resilience, within the GCSN. The GCSN thrives as a cohesive and adaptable entity upon full integration of ASRs, indicating a promising trajectory for global container shipping. © 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.},
note = {Cited by: 7; All Open Access, Green Open Access, Hybrid Gold Open Access},
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pubstate = {published},
tppubtype = {article}
}
Amidst the intensifying impact of climate change, the extension of navigable periods along Arctic Shipping Routes (ASRs) has garnered attention as a maritime route for container vessels. The urgency to comprehend the reverberations of ASRs on the global container shipping network (GCSN) led to the development of the Latitudinal Centrality Index (LCI), which integrates latitude and centrality in maritime analysis. This index evaluates ASRs’ influence across 968 port nodes within the GCSN. By exploring scenarios encompassing seasonal fluctuations over the years, this study delves into the sway of ASRs compared to a benchmark state devoid of ASR engagement. The study’s revelations highlight a discovery: the assimilation of ASRs augments interconnectivity, or resilience, within the GCSN. The GCSN thrives as a cohesive and adaptable entity upon full integration of ASRs, indicating a promising trajectory for global container shipping. © 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.
Punyaanek Srisurin, Agustin Guerra, Pisit Jarumaneeroj
In: International Journal of Technology, vol. 15, no. 6, pp. 1678 – 1696, 2024, (Cited by: 3; All Open Access, Gold Open Access).
@article{Srisurin20241678,
title = {Traffic Simulation Models to Enhance Signal Timing in an Oversaturated Network: A Comparative Study of Optimizing Individual Intersections versus the Entire Network},
author = {Punyaanek Srisurin and Agustin Guerra and Pisit Jarumaneeroj},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214941856&doi=10.14716%2fijtech.v15i6.7123&partnerID=40&md5=4ae07b585a99793dbe65a7b2ef854916},
doi = {10.14716/ijtech.v15i6.7123},
year = {2024},
date = {2024-01-01},
journal = {International Journal of Technology},
volume = {15},
number = {6},
pages = {1678 – 1696},
publisher = {Faculty of Engineering, Universitas Indonesia},
abstract = {The objective of this study is to investigate the variations in performance of a network with multiple oversaturated intersections—particularly delays and queue lengths—generated by two different signal timing approaches, namely (i) the classical isolated signal timing approach that aims to optimize each intersection's signal timing independently and (ii) the network optimization approach that focuses more on the network's holistic performance. In doing so, two signal timing models are herein developed using Synchro—a powerful traffic simulation tool—based on the information of a real oversaturated network with six consecutive intersections located on a major arterial street of Bangkok, Thailand, during the weekday evening peak period. The results of this simulation indicate that optimal cycle lengths and the allocation of green intervals are two key success factors that help reduce average delays and queue lengths at these intersections. To this end, excessive green intervals tend to result in greater delays and queue lengths, as the remaining approaches would experience excessively long red intervals. Furthermore, the key factor that helps enhance the network's holistic performance is the allocation of coordinated green intervals considering vehicular flows on all traffic corridors. In this regard, we find that the network optimization approach is considerably more efficient, as it could help reduce average delays and queue lengths by 43.5% and 61.9% compared to the base case scenario—which is 9.7% and 9.4% better than the isolated signal timing approach, respectively. © (2024), (Faculty of Engineering, Universitas Indonesia). All rights reserved.},
note = {Cited by: 3; All Open Access, Gold Open Access},
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pubstate = {published},
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The objective of this study is to investigate the variations in performance of a network with multiple oversaturated intersections—particularly delays and queue lengths—generated by two different signal timing approaches, namely (i) the classical isolated signal timing approach that aims to optimize each intersection’s signal timing independently and (ii) the network optimization approach that focuses more on the network’s holistic performance. In doing so, two signal timing models are herein developed using Synchro—a powerful traffic simulation tool—based on the information of a real oversaturated network with six consecutive intersections located on a major arterial street of Bangkok, Thailand, during the weekday evening peak period. The results of this simulation indicate that optimal cycle lengths and the allocation of green intervals are two key success factors that help reduce average delays and queue lengths at these intersections. To this end, excessive green intervals tend to result in greater delays and queue lengths, as the remaining approaches would experience excessively long red intervals. Furthermore, the key factor that helps enhance the network’s holistic performance is the allocation of coordinated green intervals considering vehicular flows on all traffic corridors. In this regard, we find that the network optimization approach is considerably more efficient, as it could help reduce average delays and queue lengths by 43.5% and 61.9% compared to the base case scenario—which is 9.7% and 9.4% better than the isolated signal timing approach, respectively. © (2024), (Faculty of Engineering, Universitas Indonesia). All rights reserved.
2023
Pisit Jarumaneeroj, Amar Ramudhin, Jorge Barnett Lawton
A connectivity-based approach to evaluating port importance in the global container shipping network Journal Article
In: Maritime Economics and Logistics, vol. 25, no. 3, pp. 602 – 622, 2023, (Cited by: 20; All Open Access, Hybrid Gold Open Access).
@article{Jarumaneeroj2023602,
title = {A connectivity-based approach to evaluating port importance in the global container shipping network},
author = {Pisit Jarumaneeroj and Amar Ramudhin and Jorge Barnett Lawton},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138354796&doi=10.1057%2fs41278-022-00243-9&partnerID=40&md5=0d2721f1e03e0a976ac73955e8478ae8},
doi = {10.1057/s41278-022-00243-9},
year = {2023},
date = {2023-01-01},
journal = {Maritime Economics and Logistics},
volume = {25},
number = {3},
pages = {602 – 622},
publisher = {Palgrave Macmillan},
abstract = {This paper proposes a framework for evaluating the strategic importance of container ports based on their connectivity. The Container Port Connectivity Index is computed and decomposed into components according to the Liner Shipping Connectivity Index—each reflecting its contribution to the overall port importance score. The framework produces separate scores for each component, thus allowing port stakeholders to better comprehend why a particular port has become important, and for what reasons. The decomposition approach also allows more detailed analyses, and explanations of the impacts of major economic phenomena—i.e., the expansion of Panama Canal or the crumbling of Hanjin shipping—on the relative importance of ports within the Global Container Shipping Network, as more explanatory variables become available. Our computational results indicate that, while the connectivity of ports related to these events is impacted, changes on connectivity rankings could be adequately explained by the proposed decomposition scheme. The inbound connectivity of New York, for example, was slightly improved after the Panama Canal expansion—from the 29th place in Q1/2016 to the 24th place in Q2/2016—due mainly to the rise in the larger capacity of ships calling. However, in Q3/2016, its inbound rank returned to the 29th place, which was mainly due to the decline in the number of liner services available, number of liner companies, and number of ships calling. The effects of Hanjin’s bankruptcy, on the contrary, were more localized and relatively brief. © 2022, The Author(s).},
note = {Cited by: 20; All Open Access, Hybrid Gold Open Access},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper proposes a framework for evaluating the strategic importance of container ports based on their connectivity. The Container Port Connectivity Index is computed and decomposed into components according to the Liner Shipping Connectivity Index—each reflecting its contribution to the overall port importance score. The framework produces separate scores for each component, thus allowing port stakeholders to better comprehend why a particular port has become important, and for what reasons. The decomposition approach also allows more detailed analyses, and explanations of the impacts of major economic phenomena—i.e., the expansion of Panama Canal or the crumbling of Hanjin shipping—on the relative importance of ports within the Global Container Shipping Network, as more explanatory variables become available. Our computational results indicate that, while the connectivity of ports related to these events is impacted, changes on connectivity rankings could be adequately explained by the proposed decomposition scheme. The inbound connectivity of New York, for example, was slightly improved after the Panama Canal expansion—from the 29th place in Q1/2016 to the 24th place in Q2/2016—due mainly to the rise in the larger capacity of ships calling. However, in Q3/2016, its inbound rank returned to the 29th place, which was mainly due to the decline in the number of liner services available, number of liner companies, and number of ships calling. The effects of Hanjin’s bankruptcy, on the contrary, were more localized and relatively brief. © 2022, The Author(s).
2022
Punyaanek Srisurin, Phipat Pimpanit, Pisit Jarumaneeroj
Evaluating the long-term operational performance of a large-scale inland terminal: A discrete event simulation-based modeling approach Journal Article
In: PLoS ONE, vol. 17, no. 12 December, 2022, (Cited by: 14; All Open Access, Gold Open Access, Green Open Access).
@article{Srisurin2022,
title = {Evaluating the long-term operational performance of a large-scale inland terminal: A discrete event simulation-based modeling approach},
author = {Punyaanek Srisurin and Phipat Pimpanit and Pisit Jarumaneeroj},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143552308&doi=10.1371%2fjournal.pone.0278649&partnerID=40&md5=c01f50ee08a89f5f23d1dda4eee9f509},
doi = {10.1371/journal.pone.0278649},
year = {2022},
date = {2022-01-01},
journal = {PLoS ONE},
volume = {17},
number = {12 December},
publisher = {Public Library of Science},
abstract = {Inland terminals, or dry ports, have played an important role in multimodal transportation networks as transportation hubs that provide connections between seaports and hinterland economies. While important, evaluating the operational performance of a dry port is especially challenging since it depends not only on internal factors, such as the variety and number of container handling equipment (CHE) deployed, but also on other external factors, including changes in transportation policies and container demands experienced by a dry port. To properly evaluate the holistic performance of a dry port while considering all the aforementioned factors, a discrete event simulation (DES) framework is herein developed and applied to the Ladkrabang Inland Container Depot (LICD)—one of the largest dry ports in Southeast Asia—under various operational settings. Despite complicated internal operations, the devised DES framework has shown itself useful in the analyses of LICD, due largely to its flexibility that allows users to include sophisticated operational rules into models. According to our computational results, the current LICD operation is markedly ineffective as the usage rates of all CHE types are relatively low and varied across gate operators —especially the yard truck whose values range between 2.46% and 11.15% on yearly average. We also find that, by redesigning the LICD and its internal operations, the LICD’s performance could be substantially enhanced—even with fewer numbers of CHE. Regarding the four CHE types, the reach stacker seems to limit LICD’s capability, as its utilization tends to first reach the maximum allowable rate of 75%, while the rubber tyred gantry crane could help boost the usage rate of yard trucks, which, in turn, results in reduced container dwelling times. Nonetheless, the modified LICD could accommodate up to 140% of the current container demand before it experiences operational difficulties induced by the saturation of container flow from rail transportation. © 2022 Srisurin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.},
note = {Cited by: 14; All Open Access, Gold Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Inland terminals, or dry ports, have played an important role in multimodal transportation networks as transportation hubs that provide connections between seaports and hinterland economies. While important, evaluating the operational performance of a dry port is especially challenging since it depends not only on internal factors, such as the variety and number of container handling equipment (CHE) deployed, but also on other external factors, including changes in transportation policies and container demands experienced by a dry port. To properly evaluate the holistic performance of a dry port while considering all the aforementioned factors, a discrete event simulation (DES) framework is herein developed and applied to the Ladkrabang Inland Container Depot (LICD)—one of the largest dry ports in Southeast Asia—under various operational settings. Despite complicated internal operations, the devised DES framework has shown itself useful in the analyses of LICD, due largely to its flexibility that allows users to include sophisticated operational rules into models. According to our computational results, the current LICD operation is markedly ineffective as the usage rates of all CHE types are relatively low and varied across gate operators —especially the yard truck whose values range between 2.46% and 11.15% on yearly average. We also find that, by redesigning the LICD and its internal operations, the LICD’s performance could be substantially enhanced—even with fewer numbers of CHE. Regarding the four CHE types, the reach stacker seems to limit LICD’s capability, as its utilization tends to first reach the maximum allowable rate of 75%, while the rubber tyred gantry crane could help boost the usage rate of yard trucks, which, in turn, results in reduced container dwelling times. Nonetheless, the modified LICD could accommodate up to 140% of the current container demand before it experiences operational difficulties induced by the saturation of container flow from rail transportation. © 2022 Srisurin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Tawit Sangveraphunsiri, Tatsuya Fukushige, Natchapon Jongwiriyanurak, Garavig Tanaksaranond, Pisit Jarumaneeroj
Impacts of the COVID-19 pandemic on the spatio-temporal characteristics of a bicycle-sharing system: A case study of Pun Pun, Bangkok, Thailand Journal Article
In: PLoS ONE, vol. 17, no. 8 August, 2022, (Cited by: 10; All Open Access, Gold Open Access, Green Open Access).
@article{Sangveraphunsiri2022,
title = {Impacts of the COVID-19 pandemic on the spatio-temporal characteristics of a bicycle-sharing system: A case study of Pun Pun, Bangkok, Thailand},
author = {Tawit Sangveraphunsiri and Tatsuya Fukushige and Natchapon Jongwiriyanurak and Garavig Tanaksaranond and Pisit Jarumaneeroj},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135426725&doi=10.1371%2fjournal.pone.0272537&partnerID=40&md5=5c1128aca0152c290b6ff1f6d1d2df6e},
doi = {10.1371/journal.pone.0272537},
year = {2022},
date = {2022-01-01},
journal = {PLoS ONE},
volume = {17},
number = {8 August},
publisher = {Public Library of Science},
abstract = {The COVID-19 pandemic is found to be one of the external stimuli that greatly affects mobility of people, leading to a shift of transportation modes towards private individual ones. To properly explain the change in people’s transport behavior, especially in pre- and post- pandemic periods, a tensor-based framework is herein proposed and applied to Pun Pun–the only public bicycle-sharing system in Bangkok, Thailand–where multidimensional trip data of Pun Pun are decomposed into four different modes related to their spatial and temporal dimensions by a non-negative Tucker decomposition approach. According to our computational results, the first pandemic wave has a sizable influence not only on Pun Pun but also on other modes of transportation. Nonetheless, Pun Pun is relatively more resilient, as it recovers more quickly than other public transportation modes. In terms of trip patterns, we find that, prior to the pandemic, trips made during weekdays are dominated by business trips with two peak periods (morning and evening peaks), while those made during weekends are more related to leisure activities as they involve stations nearby a public park. However, after the first pandemic wave ends, the patterns of weekday trips have been drastically changed, as the number of business trips sharply drops, while that of educational trips connecting metro/subway stations with a major educational institute in the region significantly rises. These findings may be regarded as a reflection of the ever-changing transport behavior of people seeking a sustainable mode of private transport, with a more positive outlook on the use of bicycle-sharing system in Bangkok, Thailand. © 2022 Sangveraphunsiri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.},
note = {Cited by: 10; All Open Access, Gold Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The COVID-19 pandemic is found to be one of the external stimuli that greatly affects mobility of people, leading to a shift of transportation modes towards private individual ones. To properly explain the change in people’s transport behavior, especially in pre- and post- pandemic periods, a tensor-based framework is herein proposed and applied to Pun Pun–the only public bicycle-sharing system in Bangkok, Thailand–where multidimensional trip data of Pun Pun are decomposed into four different modes related to their spatial and temporal dimensions by a non-negative Tucker decomposition approach. According to our computational results, the first pandemic wave has a sizable influence not only on Pun Pun but also on other modes of transportation. Nonetheless, Pun Pun is relatively more resilient, as it recovers more quickly than other public transportation modes. In terms of trip patterns, we find that, prior to the pandemic, trips made during weekdays are dominated by business trips with two peak periods (morning and evening peaks), while those made during weekends are more related to leisure activities as they involve stations nearby a public park. However, after the first pandemic wave ends, the patterns of weekday trips have been drastically changed, as the number of business trips sharply drops, while that of educational trips connecting metro/subway stations with a major educational institute in the region significantly rises. These findings may be regarded as a reflection of the ever-changing transport behavior of people seeking a sustainable mode of private transport, with a more positive outlook on the use of bicycle-sharing system in Bangkok, Thailand. © 2022 Sangveraphunsiri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Pisit Jarumaneeroj, Puwadol Oak Dusadeerungsikul, Tharin Chotivanich, Tanawin Nopsopon, Krit Pongpirul
An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand Journal Article
In: Computers and Industrial Engineering, vol. 167, 2022, (Cited by: 26; All Open Access, Green Open Access).
@article{Jarumaneeroj2022,
title = {An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand},
author = {Pisit Jarumaneeroj and Puwadol Oak Dusadeerungsikul and Tharin Chotivanich and Tanawin Nopsopon and Krit Pongpirul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125255877&doi=10.1016%2fj.cie.2022.108031&partnerID=40&md5=c7d2cce8059203f8391287bd20603765},
doi = {10.1016/j.cie.2022.108031},
year = {2022},
date = {2022-01-01},
journal = {Computers and Industrial Engineering},
volume = {167},
publisher = {Elsevier Ltd},
abstract = {This paper addresses a framework for the operational allocation and administration of COVID-19 vaccines in Thailand, based on both COVID-19 transmission dynamics and other vital operational restrictions that might affect the effectiveness of vaccination strategies in the early stage of vaccine rollout. In this framework, the SIQRV model is first developed and later combined with the COVID-19 Vaccine Allocation Problem (CVAP) to determine the optimal allocation/administration strategies that minimize total weighted strain on the whole healthcare system. According to Thailand's second pandemic wave data (17th January 2021, to 15th February 2021), we find that the epicenter-based strategy is surprisingly the worst allocation strategy, due largely to the negligence of provincial demographics, vaccine efficacy, and overall transmission dynamics that lead to higher number of infectious individuals. We also find that early vaccination seems to significantly contribute to the reduction in the number of infectious individuals, whose effects tend to increase with more vaccine supply. With these insights, healthcare policy-makers should therefore focus not only on the procurement of COVID-19 vaccines at strategic levels but also on the allocation and administration of such vaccines at operational levels for the best of their limited vaccine supply. © 2022 Elsevier Ltd},
note = {Cited by: 26; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper addresses a framework for the operational allocation and administration of COVID-19 vaccines in Thailand, based on both COVID-19 transmission dynamics and other vital operational restrictions that might affect the effectiveness of vaccination strategies in the early stage of vaccine rollout. In this framework, the SIQRV model is first developed and later combined with the COVID-19 Vaccine Allocation Problem (CVAP) to determine the optimal allocation/administration strategies that minimize total weighted strain on the whole healthcare system. According to Thailand’s second pandemic wave data (17th January 2021, to 15th February 2021), we find that the epicenter-based strategy is surprisingly the worst allocation strategy, due largely to the negligence of provincial demographics, vaccine efficacy, and overall transmission dynamics that lead to higher number of infectious individuals. We also find that early vaccination seems to significantly contribute to the reduction in the number of infectious individuals, whose effects tend to increase with more vaccine supply. With these insights, healthcare policy-makers should therefore focus not only on the procurement of COVID-19 vaccines at strategic levels but also on the allocation and administration of such vaccines at operational levels for the best of their limited vaccine supply. © 2022 Elsevier Ltd
2021
Phipat Pimpanit, Pisit Jarumaneeroj
Institute of Electrical and Electronics Engineers Inc., 2021, (Cited by: 5).
@conference{Pimpanit2021627,
title = {A Discrete Event Simulation Model for Evaluating Inland Terminal's efficiency: A Case Study of Ladkrabang Inland Container Depot},
author = {Phipat Pimpanit and Pisit Jarumaneeroj},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107603024&doi=10.1109%2fICIEA52957.2021.9436698&partnerID=40&md5=adcd298a29180d41a5bdbbc1dce6de15},
doi = {10.1109/ICIEA52957.2021.9436698},
year = {2021},
date = {2021-01-01},
journal = {2021 IEEE 8th International Conference on Industrial Engineering and Applications, ICIEA 2021},
pages = {627 – 631},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {An inland terminal, or dry port, is one of main facilities in the logistical network of maritime transportation as it helps provide access between hinterland and the rest of the world via the seaports. While the impact of these inland terminal on the efficiency of multimodal transportation has recently become more evident, it is relatively challenging to evaluate dry port's performance, as it typically involves with many operations performed by different gate operators with different numbers of container handling equipment (CHE). To properly evaluate dry port's performance, in this paper, a Discrete Event Simulation (DES) model is proposed and implemented in SIMIO modeling platform based on the current data of Ladkrabang Inland Container Depot (LICD), Thailand. According to our results, we have found that, currently, all CHE types at the LICD are not well utilized, especially the internal trucks, as the frequency of trains arriving at the LICD is still far too few. We also find that the utilization of CHE does not significant change as we vary the proportion of cargo transported by trains to trucks from 30:70 to 50:50, while maintaining total container flow. As such, we suggest that gate operators should form a CHE sharing agreement in order to improve CHE efficiency, and so the LICD's, which would be crucial for their survivability, especially after the post pandemic. © 2021 IEEE.},
note = {Cited by: 5},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
An inland terminal, or dry port, is one of main facilities in the logistical network of maritime transportation as it helps provide access between hinterland and the rest of the world via the seaports. While the impact of these inland terminal on the efficiency of multimodal transportation has recently become more evident, it is relatively challenging to evaluate dry port’s performance, as it typically involves with many operations performed by different gate operators with different numbers of container handling equipment (CHE). To properly evaluate dry port’s performance, in this paper, a Discrete Event Simulation (DES) model is proposed and implemented in SIMIO modeling platform based on the current data of Ladkrabang Inland Container Depot (LICD), Thailand. According to our results, we have found that, currently, all CHE types at the LICD are not well utilized, especially the internal trucks, as the frequency of trains arriving at the LICD is still far too few. We also find that the utilization of CHE does not significant change as we vary the proportion of cargo transported by trains to trucks from 30:70 to 50:50, while maintaining total container flow. As such, we suggest that gate operators should form a CHE sharing agreement in order to improve CHE efficiency, and so the LICD’s, which would be crucial for their survivability, especially after the post pandemic. © 2021 IEEE.
Nithima Boonsong, Pisit Jarumaneeroj
An Evaluation of Supplier Performance based on a Three-Dimensional Fuzzy TOPSIS Framework Conference
Institute of Electrical and Electronics Engineers Inc., 2021, (Cited by: 1).
@conference{Boonsong2021237,
title = {An Evaluation of Supplier Performance based on a Three-Dimensional Fuzzy TOPSIS Framework},
author = {Nithima Boonsong and Pisit Jarumaneeroj},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107552491&doi=10.1109%2fICIEA52957.2021.9436815&partnerID=40&md5=70e5586dd4f819c0e2fc635a068a030a},
doi = {10.1109/ICIEA52957.2021.9436815},
year = {2021},
date = {2021-01-01},
journal = {2021 IEEE 8th International Conference on Industrial Engineering and Applications, ICIEA 2021},
pages = {237 – 241},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {This paper proposes a Three-Dimensional Fuzzy TOPSIS framework to evaluate and categorize suppliers according to their cost, quality, and time performances. The concept of our proposed framework is rather simple as it iteratively applies three Fuzzy TOPSIS models to a set of suppliers-one at a time with respect to one key supply chain performance, each with different numbers of criteria. We have then applied this framework to evaluate the performance of a case study company's suppliers, whose business is related to fuel commercial marketing. We find that among 48 initial criteria, only 24 criteria seem to be relevant: 5, 13, 6 criteria in the cost, quality, and time Fuzzy TOPSIS models, respectively. Additionally, all of the 33 suppliers in this study are regarded as performed in terms of quality, but they may vary in terms of cost and service time. In particular, there are six suppliers requiring improvement on either cost or time metric, and only one supplier that needs attentions regarding cost and service time improvement. These results are in-line with expert's opinions as the company has a very stringent quality monitoring system; but, none exists in terms of cost and service time. © 2021 IEEE.},
note = {Cited by: 1},
keywords = {},
pubstate = {published},
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}
This paper proposes a Three-Dimensional Fuzzy TOPSIS framework to evaluate and categorize suppliers according to their cost, quality, and time performances. The concept of our proposed framework is rather simple as it iteratively applies three Fuzzy TOPSIS models to a set of suppliers-one at a time with respect to one key supply chain performance, each with different numbers of criteria. We have then applied this framework to evaluate the performance of a case study company’s suppliers, whose business is related to fuel commercial marketing. We find that among 48 initial criteria, only 24 criteria seem to be relevant: 5, 13, 6 criteria in the cost, quality, and time Fuzzy TOPSIS models, respectively. Additionally, all of the 33 suppliers in this study are regarded as performed in terms of quality, but they may vary in terms of cost and service time. In particular, there are six suppliers requiring improvement on either cost or time metric, and only one supplier that needs attentions regarding cost and service time improvement. These results are in-line with expert’s opinions as the company has a very stringent quality monitoring system; but, none exists in terms of cost and service time. © 2021 IEEE.
Pisit Jarumaneeroj, Puwadol Oak Dusadeerungsikul, Tharin Chotivanich, Renzo Akkerman
A multi-objective modeling approach to harvesting resource scheduling: Decision support for a more sustainable Thai sugar industry Journal Article
In: Computers and Industrial Engineering, vol. 162, 2021, (Cited by: 15; All Open Access, Green Open Access).
@article{Jarumaneeroj2021,
title = {A multi-objective modeling approach to harvesting resource scheduling: Decision support for a more sustainable Thai sugar industry},
author = {Pisit Jarumaneeroj and Puwadol Oak Dusadeerungsikul and Tharin Chotivanich and Renzo Akkerman},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116391479&doi=10.1016%2fj.cie.2021.107694&partnerID=40&md5=8cad2ce3fec3cce5a06ab68c3b22b474},
doi = {10.1016/j.cie.2021.107694},
year = {2021},
date = {2021-01-01},
journal = {Computers and Industrial Engineering},
volume = {162},
publisher = {Elsevier Ltd},
abstract = {This paper develops a multi-objective modeling approach for the scheduling of harvesting resources in the Thai sugar industry, in which different objectives stemming from different industry stakeholders are concurrently optimized with the overall goal to create a more sustainable sugar supply chain. In addition to traditional economic objectives, the environmental impact of sugarcane farm burning is included into the model to better reflect the current harvesting practice, where sugarcane growers often resort to burning their fields due to the lack of available harvesting resources during the season. An evolutionary algorithm based on a variant of Particle Swarm Optimization (PSO) is also devised to help solve the resulting Multi-Objective Harvesting Resource Scheduling Problem (MOHRSP), which normally becomes intractable for real-life problem instances. We find that the proposed PSO framework is notably efficient as it provides diverse sets of non-dominated solutions with markedly low coefficients of variation in a reasonable amount of time. We also find that, by sacrificing a slight amount of sugar production volume, the whole sugar supply chain could be largely improved, especially for the sugarcane growers, whose profitability turns out to be sensitive in the trade-offs with other objectives. © 2021 The Author(s)},
note = {Cited by: 15; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper develops a multi-objective modeling approach for the scheduling of harvesting resources in the Thai sugar industry, in which different objectives stemming from different industry stakeholders are concurrently optimized with the overall goal to create a more sustainable sugar supply chain. In addition to traditional economic objectives, the environmental impact of sugarcane farm burning is included into the model to better reflect the current harvesting practice, where sugarcane growers often resort to burning their fields due to the lack of available harvesting resources during the season. An evolutionary algorithm based on a variant of Particle Swarm Optimization (PSO) is also devised to help solve the resulting Multi-Objective Harvesting Resource Scheduling Problem (MOHRSP), which normally becomes intractable for real-life problem instances. We find that the proposed PSO framework is notably efficient as it provides diverse sets of non-dominated solutions with markedly low coefficients of variation in a reasonable amount of time. We also find that, by sacrificing a slight amount of sugar production volume, the whole sugar supply chain could be largely improved, especially for the sugarcane growers, whose profitability turns out to be sensitive in the trade-offs with other objectives. © 2021 The Author(s)
2020
Panasun Ngamsirijit, Tongchatra Watcharawittayakul, Pisit Jarumaneeroj, Tawatchai Chaiwatanarat, Yothin Rakvongthai
Antral contraction rate estimation from dynamic antral scintigraphy using Hilbert-Huang transform Journal Article
In: Computers in Biology and Medicine, vol. 117, 2020, (Cited by: 1).
@article{Ngamsirijit2020,
title = {Antral contraction rate estimation from dynamic antral scintigraphy using Hilbert-Huang transform},
author = {Panasun Ngamsirijit and Tongchatra Watcharawittayakul and Pisit Jarumaneeroj and Tawatchai Chaiwatanarat and Yothin Rakvongthai},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077021593&doi=10.1016%2fj.compbiomed.2019.103560&partnerID=40&md5=151fb28b0eff7f714bd5b5d3947e2eaa},
doi = {10.1016/j.compbiomed.2019.103560},
year = {2020},
date = {2020-01-01},
journal = {Computers in Biology and Medicine},
volume = {117},
publisher = {Elsevier Ltd},
abstract = {Conventional analysis of the gastric antral contraction rate (ACR) utilizes the Fourier transform (FT) which does not effectively capture the non-stationary property of dynamic antral scintigraphy (DAS). In this study, we showed that application of Hilbert-Huang transform (HHT) on DAS yielded better estimates of ACR. Specifically, the time activity curves were extracted from the DAS data of 18 healthy volunteers and subjected to FT and HHT analyses. Comparison of the mean, standard deviation (SD), and root mean square error (RMSE) of ACR estimated by both methods showed that the proposed HHT method yielded significantly smaller SD (p<0.00001), smaller relative SD (13.3% versus 53.7%) and RMSE (0.72 cpm versus 1.59 cpm). Moreover, the HHT method also achieved lower relative SD of the frequency values from the intrinsic mode functions. Overall results indicated that the HHT method outperformed the conventional FT method in estimating the ACR from DAS. We anticipate that our approach will lead to development of effective noninvasive diagnoses of gastrointestinal tract diseases using DAS. © 2019 Elsevier Ltd},
note = {Cited by: 1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Conventional analysis of the gastric antral contraction rate (ACR) utilizes the Fourier transform (FT) which does not effectively capture the non-stationary property of dynamic antral scintigraphy (DAS). In this study, we showed that application of Hilbert-Huang transform (HHT) on DAS yielded better estimates of ACR. Specifically, the time activity curves were extracted from the DAS data of 18 healthy volunteers and subjected to FT and HHT analyses. Comparison of the mean, standard deviation (SD), and root mean square error (RMSE) of ACR estimated by both methods showed that the proposed HHT method yielded significantly smaller SD (p<0.00001), smaller relative SD (13.3% versus 53.7%) and RMSE (0.72 cpm versus 1.59 cpm). Moreover, the HHT method also achieved lower relative SD of the frequency values from the intrinsic mode functions. Overall results indicated that the HHT method outperformed the conventional FT method in estimating the ACR from DAS. We anticipate that our approach will lead to development of effective noninvasive diagnoses of gastrointestinal tract diseases using DAS. © 2019 Elsevier Ltd