ABSTRACT

The aim of this paper is to introduce a multi criteria performance measurement model for newbuilding dry-docking purposes as a managerial tool. The dry-docking is presented as a process with multiple inputs and outputs, containing various technical and cost data related to the dry-docking project. The data envelopment analysis models with constant and variable returns to scale were used in this research along with the efficiency decomposition method to determine possible sources of inefficiency on the data sets available. The seven criteria to be used for dry-docking performance measurement. Research results determined the best practice/efficient vessels which create the efficient frontier. Projections to the efficient frontier, efficiency decomposition and sources of inefficiency recognition with improvement propositions were provided for the inefficient vessels. Due to the performance assessment carried out, the results represent benchmarks for dry-docking performance and a guideline to future dry-docking improvements on data set researched.

摘要

本文的目的是介绍一种用于新造船干坞的多标准性能测量模型，作为一种管理工具。入坞是一个具有多个输入和输出的过程，包含与入坞项目相关的各种技术和成本数据。本研究使用具有恒定和可变规模收益的数据包络分析模型以及效率分解方法来确定可用数据集效率低下的可能来源。用于干坞性能测量的七个标准。研究结果确定了创造高效前沿的最佳实践/高效船舶。对有效边界的预测，为低效船舶提供了效率分解和低效识别来源以及改进建议。由于进行了性能评估，结果代表了干坞性能的基准，并为未来对所研究数据集的干坞改进提供了指导。