Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


Comprehensive Evaluation on Logistics Capability of the Supply Chain in Manufacturing Enterprise

Xianming Liu and Yazhou Xiong
School of Economics and Management, Hubei Polytechnic University, Huangshi 435003, China
Research Journal of Applied Sciences, Engineering and Technology  2013  11:3140-3143
http://dx.doi.org/10.19026/rjaset.5.4548  |  © The Author(s) 2013
Received: September 27, 2012  |  Accepted: November 08, 2012  |  Published: April 05, 2013

Abstract

Through the analysis of logistics capability of the supply chain in manufacturing enterprise, this study has established an evaluation system of logistics capability of the supply chain from four aspects. Rough sets theory is used to attribute importance to determine weights of the subspace dimension indicators and the membership function in fuzzy theory is used to determine the indicators of the level of the matrix. Combined with the theory of entropy, integrated weight of logistics capability of the supply chain of the matrix can be determined and quantified indicators will be achieved as an evaluation criterion. Finally, the established system of indicators and improved evaluation method are integrated to analyze the logistics capabilities of the supply chain in manufacturing enterprise; the evaluation method proves to be valid.

Keywords:

Evaluation, fuzzy entropy, logistics capability, rough sets,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved