Wakholi Collins, Nabwire Shona, Kim Juntae, Bae Jeong Hwan, Kim Moon Sung, Baek Insuck, Cho Byoung-Kwan
Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea.
Department of Economics, Chonnam National University, Gwangju 61186, Korea.
Animals (Basel). 2021 Dec 21;12(1):7. doi: 10.3390/ani12010007.
To minimize production costs, reduce mistakes, and improve consistency, modern-day slaughterhouses have turned to automated technologies for operations such as cutting, deboning, etc. One of the most vital operations in the slaughterhouse is carcass grading, usually performed manually by grading staff, which creates a bottleneck in terms of production speed and consistency. To speed up the carcass grading process, we developed an online system that uses image analysis and statistical tools to estimate up to 23 key yield parameters. A thorough economic analysis is required to aid slaughterhouses in making informed decisions about the risks and benefits of investing in the system. We therefore conducted an economic analysis of the system using a cost-benefit analysis (the methods considered were net present value (NPV), internal rate of return (IRR), and benefit/cost ratio (BCR)) and sensitivity analysis. The benefits considered for analysis include labor cost reduction and gross margin improvement arising from optimizing breeding practices with the use of the data obtained from the system. The cost-benefit analysis of the system resulted in an NPV of approximately 310.9 million Korean Won (KRW), a BCR of 1.72, and an IRR of 22.28%, which means the benefits outweigh the costs in the long term.
为了将生产成本降至最低、减少失误并提高一致性，现代屠宰场已转向自动化技术来进行切割、去骨等操作。屠宰场中最重要的操作之一是胴体分级，通常由分级人员手动完成，这在生产速度和一致性方面造成了瓶颈。为了加快胴体分级过程，我们开发了一个在线系统，该系统使用图像分析和统计工具来估计多达23个关键产量参数。需要进行全面的经济分析，以帮助屠宰场就投资该系统的风险和收益做出明智的决策。因此，我们使用成本效益分析（考虑的方法是净现值（NPV）、内部收益率（IRR）和效益成本比（BCR））和敏感性分析对该系统进行了经济分析。分析中考虑的效益包括通过使用从系统获得的数据优化育种实践而带来的劳动力成本降低和毛利率提高。该系统的成本效益分析得出净现值约为3.109亿韩元，效益成本比为1.72，内部收益率为22.28%，这意味着从长期来看效益大于成本。
