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Development of a discrete infrastructure optimization model for economic assessment on dairy farms (DIOMOND)

机译:乳业农场经济评估的离散基础设施优化模型(钻石)开发

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The objective of this paper was to develop a discrete infrastructure optimization model for economic assessment on dairy farms (DIOMOND) to maximize return on investment (ROI) in dairy farm infrastructure over a specified time horizon. Optimizing ROI in dairy farm infrastructure is essential since the choice of technology, electricity tariff and management practices affects the economic performance of the farm. The abolition of European Union milk quotas has started to increase investments in on-farm equipment, necessitating a means of financial decision support for farmers. The optimization of ROI in dairy farm infrastructure within DIOMOND was accomplished by obtaining the optimal selection of equipment, management processes and electricity tariff which affect dairy farm electricity and capital costs and consequently ROI for new infrastructure. Optimization algorithms were applied to previously published dairy farm electricity consumption and ROI models to obtain the combination of decision variables pertaining to dairy farm technology, management practices and electricity tariff which yielded the maximum ROI for a dairy farm over a specified time horizon, compared with a base investment scenario. Furthermore, an assessment was carried out to fmd the most suitable optimization algorithm for use in maximizing ROI in dairy farm infrastructure. Five optimization algorithms, namely Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Tabu Search and Dynamic Programming, were assessed and their optimization performance compared. The Genetic Algorithm was selected due to its superior efficiency and performance. For a test case involving a 195 cow farm the optimal combination of farm technology, management and electricity tariff was found, resulting in a level of improvement in ROI of 26.31% over a ten year time horizon compared to a base investment scenario. The applicability of DIOMOND to a real world scenario was demonstrated successfully. Therefore it is anticipated that DIOMOND will provide a comprehensive tool to deliver substantial monetary savings and assist in decision making for dairy farmers, including those investing in new technology.
机译:本文的目的是为乳制品农场(Diomond)的经济评估开发离散基础设施优化模型,以最大限度地在特定时间范围内最大限度地提高奶牛场基础设施的投资回报(ROI)。优化ROI在乳制品农场基础设施中是必不可少的,因为技术的选择,电力关税和管理措施影响农场的经济表现。废除欧盟牛奶配额已开始增加农场设备的投资,所以需要为农民提供金融决策支持。通过获得影响乳制品农业电力和资本成本的最佳选择,管理流程和电力计量,并为新基础设施提供了影响乳制品电力和资金成本的最佳选择优化算法应用于先前公布的乳制品电力消耗和ROI模型,以获得与乳制品农场技术,管理实践和电费相关的决策变量的结合,而在特定时间范围内将获得乳制品农场的最大投资回报率,与A相比基础投资情景。此外,对FMD进行了最佳优化算法的评估,用于最大化乳制品农场基础设施的ROI。五种优化算法,即遗传算法,粒子群优化,模拟退火,禁忌搜索和动态编程,并进行了优化性能。由于其卓越的效率和性能而选择了遗传算法。对于涉及195牛农场的测试案例,发现了农业技术,管理和电力关税的最佳组合,与基本投资情况相比,ROI的改善程度为26.31%。成功地证明了少世的适用性对现实世界的情景。因此,预计迪姆金将提供全面的工具,以提供大量的货币储蓄和协助乳制品农民的决策,包括投资新技术。

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