An analysis of operations efficiency in large‐scale distribution systems
运用数据包络分析方法评估美国大型石油分销网络中各单元的运营效率，区分管理有效性、运营规模与资源配置效率、资源异质性三类绩效短板原因，帮助管理者识别改进方向。
Abstract This research applies Data Envelopment Analysis (DEA) methodology to evaluate the efficiency of units within a large‐scale network of petroleum distribution facilities in the USA. Multiple inputs and outputs are incorporated into a broad set of DEA models, yielding a comprehensive approach to evaluating supply chain efficiency. This study empirically separates three recognized, important and yet different causes of performance shortfalls which have been generally difficult for managers to identify. They are: (1) managerial effectiveness; (2) scale of operations and potential for a given market area (and efficiency of resource allocation given the scale); and (3) understanding the resource heterogeneity via programmatic differences in efficiency. Overall, the efficiency differences identified raised insightful questions regarding top management’s selection of the appropriate form and type of inputs and outputs, as well as questions regarding the DEA model form selected.