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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2512.11308 |
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| _version_ | 1866914197279866880 |
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| author | Fukuda, Kazuyoshi Inoue, Masaki Asanaka, Riko |
| author_facet | Fukuda, Kazuyoshi Inoue, Masaki Asanaka, Riko |
| contents | This paper proposes the framework of an efficient gig-work management system. A gig-work management system recommends one-off tasks with information about task hours and wages to gig-workers. To enable effective management, this paper develops a model of gig-workers' decision-making. Then, based on the model, we formulate an optimization problem to determine the optimal task hours and wages. The formulated problem belongs to the class of chance-constrained model predictive control (CC-MPC) problems. To efficiently solve the CC-MPC problem, we develop an approximate solution algorithm with guaranteed confidence levels. Finally, we develop gig-worker models based on data collected through crowdsourcing. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_11308 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Gig-work Management System with Chance-Constraints Verification Algorithm Fukuda, Kazuyoshi Inoue, Masaki Asanaka, Riko Systems and Control This paper proposes the framework of an efficient gig-work management system. A gig-work management system recommends one-off tasks with information about task hours and wages to gig-workers. To enable effective management, this paper develops a model of gig-workers' decision-making. Then, based on the model, we formulate an optimization problem to determine the optimal task hours and wages. The formulated problem belongs to the class of chance-constrained model predictive control (CC-MPC) problems. To efficiently solve the CC-MPC problem, we develop an approximate solution algorithm with guaranteed confidence levels. Finally, we develop gig-worker models based on data collected through crowdsourcing. |
| title | Gig-work Management System with Chance-Constraints Verification Algorithm |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2512.11308 |