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CASE STUDY: BUS FLEET REPLACEMENT

机译:案例研究:更换车队

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Parallel replacement analysis is concerned with determining minimum cost replacement schedules for a group of assets that are economically interdependent and operate in parallel. That is, keep and replace decisions are required for each asset among a group of assets over a specified horizon. The assets are economically linked through economies of scale or budgeting constraints. One application of parallel replacement analysis is fleet replacement. We recently studied the operations, including fleet replacement policies, for a city transit bus operator in Europe. Key factors in their replacement decisions included the ability to choose from multiple manufacturers, purchase price, and government regulations. We explore these and other factors, by solving a heterogeneous replacement problem with fixed costs, budgeting constraints, and demand constraints. Through extensive sensitivity analysis we analyze the impact of various parameters on decisions, in terms of the choice of replacement assets, as well as the optimal time to retain assets. Additionally, we provide motivation for future research in this application area, which is important for many cities.
机译:并行替换分析涉及确定一组经济上相互依赖且并行运行的资产的最低成本替换计划。也就是说,在指定范围内,资产组中的每个资产都需要保留和替换决策。资产通过规模经济或预算约束在经济上联系在一起。并行替换分析的一种应用是车队替换。我们最近为欧洲的城市公交车运营商研究了运营,包括车队更换政策。更换决策的关键因素包括从多个制造商中进行选择的能力,购买价格和政府法规。通过解决具有固定成本,预算约束和需求约束的异构替换问题,我们探索了这些因素和其他因素。通过广泛的敏感性分析,我们在选择替代资产以及保留资产的最佳时间方面分析了各种参数对决策的影响。此外,我们为该应用领域的未来研究提供了动力,这对许多城市而言都很重要。

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