TY - GEN
T1 - Cost-Benefit Analysis and Technology Transition Management of Automation Adoption in Tea Plucking Based on System Dynamics Model Design
AU - Gao, Ziyan
AU - Tan, Andrew Huey Ping
AU - Tuan, Joe Lo Ying
AU - Zheng, Yufan
AU - Luo, Yang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Plucking
KW - System Dynamics
KW - Tea
KW - Tea Industry
KW - Vensim
UR - http://www.scopus.com/inward/record.url?scp=105002706684&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-3949-6_16
DO - 10.1007/978-981-96-3949-6_16
M3 - Conference Proceeding
AN - SCOPUS:105002706684
SN - 9789819639489
T3 - Lecture Notes in Networks and Systems
SP - 208
EP - 220
BT - Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics
A2 - Chen, Wei
A2 - Ping Tan, Andrew Huey
A2 - Luo, Yang
A2 - Huang, Long
A2 - Zhu, Yuyi
A2 - PP Abdul Majeed, Anwar
A2 - Zhang, Fan
A2 - Yan, Yuyao
A2 - Liu, Chenguang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024
Y2 - 22 August 2024 through 23 August 2024
ER -