@article{Nguyen202243,

title = {Collaborative Control, Task Administration, and Fault Tolerance for Supply Chain Network-Dynamics},

author = {Win P. V. Nguyen and Puwadol Oak Dusadeerungsikul and Shimon Y. Nof},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139819636&doi=10.1007%2f978-3-031-09179-7_3&partnerID=40&md5=5cb7ce64d9ed8c9c435e6fe6384845f7},

doi = {10.1007/978-3-031-09179-7_3},

year  = {2022},

date = {2022-01-01},

journal = {Springer Series in Supply Chain Management},

volume = {20},

pages = {43 – 78},

note = {Cited by: 4},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dusadeerungsikul20226072,

title = {Multi-agent system optimisation in factories of the future: cyber collaborative warehouse study},

author = {Puwadol Oak Dusadeerungsikul and Xiang He and Maitreya Sreeram and Shimon Y. Nof},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116906691&doi=10.1080%2f00207543.2021.1979680&partnerID=40&md5=0c679dce43c4535264cfb8eb95c2f7aa},

doi = {10.1080/00207543.2021.1979680},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Production Research},

volume = {60},

number = {20},

pages = {6072 – 6086},

note = {Cited by: 18},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@article{Dusadeerungsikul20211,

title = {A Cyber Collaborative Protocol for Real-Time Communication and Control in Human-Robot-Sensor Work},

author = {P. O. Dusadeerungsikul and S. Y. Nof},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111274863&doi=10.15837%2fijccc.2021.3.4233&partnerID=40&md5=86274bde7cbf34bcee966081a459ef89},

doi = {10.15837/ijccc.2021.3.4233},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Computers, Communications and Control},

volume = {16},

number = {3},

pages = {1 – 11},

note = {Cited by: 11; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dusadeerungsikul2019456,

title = {A collaborative control protocol for agricultural robot routing with online adaptation},

author = {Puwadol Oak Dusadeerungsikul and Shimon Y. Nof},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067569247&doi=10.1016%2fj.cie.2019.06.037&partnerID=40&md5=59a78124ec842839f829b9fdbd4e0b48},

doi = {10.1016/j.cie.2019.06.037},

year  = {2019},

date = {2019-01-01},

journal = {Computers and Industrial Engineering},

volume = {135},

pages = {456 – 466},

note = {Cited by: 30},

keywords = {},

pubstate = {published},

tppubtype = {article}

}