Kim Juntae, Han Hyo-Dong, Lee Wang Yeol, Wakholi Collins, Lee Jayoung, Jeong Youn-Bok, Bae Jeong Hwan, Cho Byoung-Kwan
Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseoung-gu, Daejeon 34134, Korea.
Korea Institute for Animal Products Quality Evaluation, 21 Areumseo-gil, Sejong 30100, Korea.
Animals (Basel). 2021 Apr 30;11(5):1297. doi: 10.3390/ani11051297.
Currently, the pork industry is incorporating in-line automation with the aim of increasing the slaughtered pork carcass throughput while monitoring quality and safety. In Korea, 21 parameters (such as back-fat thickness and carcass weight) are used for quality grading of pork carcasses. Recently, the VCS2000 system-an automatic meat yield grading machine system-was introduced to enhance grading efficiency and therefore increase pork carcass production. The VCS2000 system is able to predict pork carcass yield based on image analysis. This study also conducted an economic analysis of the system using a cost-benefit analysis. The subsection items of the cost-benefit analysis considered were net present value (NPV), internal rate of return (IRR), and benefit/cost ratio (BC ratio), and each method was verified through sensitivity analysis. For our analysis, the benefits were grouped into three categories: the benefits of reducing labor costs, the benefits of improving meat yield production, and the benefits of reducing pig feed consumption through optimization. The cost-benefit analysis of the system resulted in an NPV of approximately 615.6 million Korean won, an IRR of 13.52%, and a B/C ratio of 1.65.
目前，猪肉行业正在引入在线自动化，目的是在监测质量和安全的同时提高屠宰猪肉胴体的产量。在韩国，21个参数（如背膘厚度和胴体重量）用于猪肉胴体的质量分级。最近，为提高分级效率从而增加猪肉胴体产量，引入了VCS2000系统——一种自动肉产量分级机系统。VCS2000系统能够基于图像分析预测猪肉胴体产量。本研究还使用成本效益分析对该系统进行了经济分析。成本效益分析考虑的子项目包括净现值（NPV）、内部收益率（IRR）和效益/成本比（BC比），并且每种方法都通过敏感性分析进行了验证。对于我们的分析，效益分为三类：降低劳动力成本的效益、提高肉产量的效益以及通过优化减少猪饲料消耗的效益。该系统的成本效益分析得出净现值约为6.156亿韩元，内部收益率为13.52%，效益/成本比为1.65。
