2024
Prayitno, Kutut Aji; Wicaksono, Hendro
Investigating the Potential of Causal Reinforcement Learning in Collaborative Urban Logistics: A Systematic Literature Review Journal Article
In: Procedia CIRP, vol. 130, pp. 1070-1076, 2024.
Abstract | Links | BibTeX | Tags: causal AI, interoperability, logistics, ontologies, reinforcement learning, semantic web, sustainability
@article{nokey,
title = {Investigating the Potential of Causal Reinforcement Learning in Collaborative Urban Logistics: A Systematic Literature Review},
author = {Kutut Aji Prayitno and Hendro Wicaksono},
url = {https://www.sciencedirect.com/science/article/pii/S2212827124013659},
doi = {https://doi.org/10.1016/j.procir.2024.10.208},
year = {2024},
date = {2024-11-27},
urldate = {2024-11-27},
journal = {Procedia CIRP},
volume = {130},
pages = {1070-1076},
abstract = {Efficiently managing logistics operations is crucial in elevating sustainability and tackling the challenges urbanization brings in today’s urban environment. Collaborations among the public and private sectors in urban logistics are essential to minimize environmental impacts. This study aims to create a novel conceptual framework for collaborative logistics designed explicitly for sustainable metropolitan areas. The framework aims to enable collaborative data-driven sustainability optimization in urban logistics. It comprises ontologies to facilitate interoperability among stakeholders by providing a shared understanding of the exchanged data. The framework utilizes causal artificial intelligence to enable traceability and transparency of data-driven decisions compared to conventional machine learning working based on correlations. Furthermore, the framework also employs causal reinforcement learning that enables agents to learn what actions lead to targeted outcomes and why those actions are effective. The developed framework optimizes vehicle routes and conveyance selection while considering several operational constraints such as time windows, split-load scenarios, and commodity-specific requirements. Moreover, the system integrates the distinctive features of public transport networks. The suggested strategy minimizes fuel use and overall delivery costs, promoting a more sustainable logistics environment in metropolitan areas measured using Environmental, Social, and Governance (ESG) indicators. This study contributes to the theoretical understanding of collaborative logistics. It underscores the importance of environmental stewardship and societal well-being in logistics planning and implementation by utilizing a data-driven approach.
},
keywords = {causal AI, interoperability, logistics, ontologies, reinforcement learning, semantic web, sustainability},
pubstate = {published},
tppubtype = {article}
}
2023
Raza, Arif; Wicaksono, Hendro; Valilai, Omid Fatahi
Blockchain Technologies for Sustainable Last Mile Delivery: Investigating Customer Awareness and Tendency Using NFT Reward Mechanisms Proceedings Article
In: 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 0021–0026, IEEE 2023.
Abstract | Links | BibTeX | Tags: blockchain, data management, logistics, supply chain management
@inproceedings{raza2023blockchain,
title = {Blockchain Technologies for Sustainable Last Mile Delivery: Investigating Customer Awareness and Tendency Using NFT Reward Mechanisms},
author = {Arif Raza and Hendro Wicaksono and Omid Fatahi Valilai},
doi = {https://doi.org/10.1109/IEEM58616.2023.10406357},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)},
pages = {0021–0026},
organization = {IEEE},
abstract = {Last mile delivery as a challenging area of supply chain is facing growing challenges for e-commerce firms. One of the most important aspects of these challenges is related to the sustainability of last mile delivery. This study has targeted customers' awareness and eagerness to play an effective role for sustainable last mile delivery. The paper has also focused on the capabilities of blockchain technology for enabling the tracking and tracing of the contributions of the customers through NFT (non-fungible tokens) tokens. The paper has designed surveys to examine the awareness and tendency of customers for sustainable last mile delivery. It has been found that there is a significant gap when it comes to completely understanding the blockchain and its potential benefits in terms of reducing CO2 emissions concludes. The results show that a high proportion of respondents who indicated a willingness to delay and consolidate deliveries if offered an NFT token incentive. Finally, it has been concluded that there is high potential for blockchain technology to promote sustainability in the last mile delivery industry.
},
keywords = {blockchain, data management, logistics, supply chain management},
pubstate = {published},
tppubtype = {inproceedings}
}
2022
Navendan, Karthikeyan; Wicaksono, Hendro; Valilai, Omid Fatahi
Enhancement of Crowd Logistics Model in an E-Commerce Scenario Using Blockchain-Based Decentralized Application Proceedings Article
In: International Conference on Dynamics in Logistics, pp. 26–37, Springer International Publishing Cham 2022.
BibTeX | Tags: blockchain, logistics
@inproceedings{navendan2022enhancement,
title = {Enhancement of Crowd Logistics Model in an E-Commerce Scenario Using Blockchain-Based Decentralized Application},
author = {Karthikeyan Navendan and Hendro Wicaksono and Omid Fatahi Valilai},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {International Conference on Dynamics in Logistics},
pages = {26–37},
organization = {Springer International Publishing Cham},
keywords = {blockchain, logistics},
pubstate = {published},
tppubtype = {inproceedings}
}
Ganesan, Santhosh; Wicaksono, Hendro; Valilai, Omid Fatahi
Enhancing Vendor Managed Inventory with the Application of Blockchain Technology Proceedings Article
In: International Conference on System-Integrated Intelligence, pp. 262–275, Springer International Publishing Cham 2022.
BibTeX | Tags: blockchain, logistics
@inproceedings{ganesan2022enhancing,
title = {Enhancing Vendor Managed Inventory with the Application of Blockchain Technology},
author = {Santhosh Ganesan and Hendro Wicaksono and Omid Fatahi Valilai},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {International Conference on System-Integrated Intelligence},
pages = {262–275},
organization = {Springer International Publishing Cham},
keywords = {blockchain, logistics},
pubstate = {published},
tppubtype = {inproceedings}
}
Lobo, Carol Riona; Wicaksono, Hendro; Valilai, Omid Fatahi
Implementation of Blockchain Technology to Enhance Last Mile Delivery Models with Sustainability Perspectives Journal Article
In: IFAC-PapersOnLine, vol. 55, no. 10, pp. 3304–3309, 2022.
BibTeX | Tags: blockchain, logistics
@article{lobo2022implementation,
title = {Implementation of Blockchain Technology to Enhance Last Mile Delivery Models with Sustainability Perspectives},
author = {Carol Riona Lobo and Hendro Wicaksono and Omid Fatahi Valilai},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {IFAC-PapersOnLine},
volume = {55},
number = {10},
pages = {3304–3309},
publisher = {Elsevier},
keywords = {blockchain, logistics},
pubstate = {published},
tppubtype = {article}
}
Khaturia, Roshaali; Wicaksono, Hendro; Valilai, Omid Fatahi
Srp: a sustainable dynamic ridesharing platform utilizing blockchain technology Proceedings Article
In: International Conference on Dynamics in Logistics, pp. 301–313, Springer International Publishing Cham 2022.
BibTeX | Tags: blockchain, logistics, operation research, sustainability
@inproceedings{khaturia2022srp,
title = {Srp: a sustainable dynamic ridesharing platform utilizing blockchain technology},
author = {Roshaali Khaturia and Hendro Wicaksono and Omid Fatahi Valilai},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {International Conference on Dynamics in Logistics},
pages = {301–313},
organization = {Springer International Publishing Cham},
keywords = {blockchain, logistics, operation research, sustainability},
pubstate = {published},
tppubtype = {inproceedings}
}
2021
Ahmadi, Elham; Wicaksono, Hendro; Valilai, O Fatahi
Extending the last mile delivery routing problem for enhancing sustainability by drones using a sentiment analysis approach Proceedings Article
In: 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 207–212, IEEE 2021.
BibTeX | Tags: data science, logistics, operation research
@inproceedings{ahmadi2021extending,
title = {Extending the last mile delivery routing problem for enhancing sustainability by drones using a sentiment analysis approach},
author = {Elham Ahmadi and Hendro Wicaksono and O Fatahi Valilai},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)},
pages = {207–212},
organization = {IEEE},
keywords = {data science, logistics, operation research},
pubstate = {published},
tppubtype = {inproceedings}
}