Abstract
Tea is one of the most significant cash crops in developing countries. Tea cultivation plays a pivotal role in rural development and poverty reduction. Currently, tea plucking is very labour-intensive. In response to the challenges of rural labor reduction and labour cost control, mechanization is a strategy to reduce costs. However, it remains unclear whether mechanization is beneficial to tea owners. This paper utilises system dynamics to investigate this problem. First, the boundaries of the system were defined. Secondly, variables were identified to construct a causal loop diagram. The variables were then defined and categorized, after which the stock flow diagrams were constructed, and the system dynamics equations were developed. Finally, multiple scenario-based simulations were conducted. Three scenarios were explored namely labour-only, machinery-only, and combined scenarios. Within the constraints of the model, simulations can result in additional revenue from machinery. The simulation results are accurate within the defined boundaries of the model, while acknowledging for other possible variables not part of the model. Possible improvements and recommendations are presented at the end.
| Original language | English |
|---|---|
| Title of host publication | Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics |
| Editors | Wei Chen, Andrew Huey Ping Tan, Yang Luo, Long Huang, Yuyi Zhu, Anwar PP Abdul Majeed, Fan Zhang, Yuyao Yan, Chenguang Liu |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 208-220 |
| Number of pages | 13 |
| ISBN (Print) | 9789819639489 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Suzhou, China Duration: 22 Aug 2024 → 23 Aug 2024 |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 1316 LNNS |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
Conference
| Conference | 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 |
|---|---|
| Country/Territory | China |
| City | Suzhou |
| Period | 22/08/24 → 23/08/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 1 No Poverty
Keywords
- Plucking
- System Dynamics
- Tea
- Tea Industry
- Vensim
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