Scheduling Performance Evaluation of Logistics Service Supply Chain Based on the Dynamic Index WeightReport as inadecuate

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Mathematical Problems in EngineeringVolume 2014 2014, Article ID 280741, 14 pages

Research Article

College of Management and Economics, Tianjin University, Tianjin 300072, China

Department of Industrial and Systems Engineering, Texas AandM University, College Station, TX 77840, USA

Received 27 February 2014; Revised 23 April 2014; Accepted 1 May 2014; Published 19 May 2014

Academic Editor: Hsiao-Fan Wang

Copyright © 2014 Weihua Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Scheduling is crucial to the operation of logistics service supply chain LSSC, so scientific performance evaluation method is required to evaluate the scheduling performance. Different from general project performance evaluation, scheduling activities are usually continuous and multiperiod. Therefore, the weight of scheduling performance evaluation index is not unchanged, but dynamically varied. In this paper, the factors that influence the scheduling performance are analyzed in three levels which are strategic environment, operating process, and scheduling results. Based on these three levels, the scheduling performance evaluation index system of LSSC is established. In all, a new performance evaluation method proposed based on dynamic index weight will have three innovation points. Firstly, a multiphase dynamic interaction method is introduced to improve the quality of quantification. Secondly, due to the large quantity of second-level indexes and the requirements of dynamic weight adjustment, the maximum attribute deviation method is introduced to determine weight of second-level indexes, which can remove the uncertainty of subjective factors. Thirdly, an adjustment coefficient method based on set-valued statistics is introduced to determine the first-level indexes weight. In the end, an application example from a logistics company in China is given to illustrate the effectiveness of the proposed method.

Author: Weihua Liu, Zhicheng Liang, Shuqing Wang, Yang Liu, and Wenchen Xie



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