Tools
Tools
Fan, Xuemei and Zhang, Shujun 
ORCID: 0000-0001-5699-2676
(2016)
Performance Evaluation for the Sustainable Supply Chain Management.
In:
Sustainable Supply Chain Management.
InTech, pp. 141-194.
ISBN 9789535124337
|
Text
Performance Evaluation.pdf - Published Version Available under License Creative Commons Attribution 3.0. Download (6MB) | Preview |
Abstract
Supply chain SC activities transform natural resources, raw materials, and components into various finished products that are delivered to end customers. A high efficient SC would bring great benefits to an enterprise such as integrated resources, reduced logistics costs, improved logistics efficiency, and high quality of overall level of services. In contrast, an inefficient SC will bring additional transaction costs, information management costs, and resource waste, reduce the production capacity of all enterprises on the chain, and unsatisfactory customer relationships. So the evaluation of a SC is important for an enterprise to survive in a competitive market in a globalized business environment. Therefore, it is important to research the various methods, performance indicator systems, and technology for evaluating, monitoring, predicting, and optimizing the performance of a SC. A typical procedure of the performance evaluation (PE) of a SC is to use the established evaluation performance indicators, employ an analytical method, follow a given procedure, to carry out quantitatively or qualitatively comparative analysis to provide the objective and accurate evaluation of a SC performance in a selected operation period. Various research works have been carried out in proposing the performance indicator systems and methods for SC performance evaluations. But there are no widely accepted indicator systems that can be applied in practical SC performance evaluations due to the fact that the indicators in different systems have been defined without a common understanding of the meanings and the relationships between them, and they are nonlinear and very complicated. In this chapter, the conception of SC performance is first presented, then relevant theories about supply chain performance evaluation are discussed and several common methods of supply chain performance evaluation are discussed. Finally, an evaluation model is presented for SC performance evaluation using 5 dimensional balanced scorecard (5DBSC) and Levenberg–Marquardt Back‐propagation (LM‐BP) neural network algorithm.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | SCM, sustainability, performance evaluation, KPI, neural network, 5DBSC, LM‐BP |
| Subjects: | H Social Sciences > HF Commerce > HF5001 Business > HF5387 Business Ethics |
| Divisions: | Schools and Research Institutes > School of Creative Arts |
| Research Priority Areas: | Applied Business & Technology |
| Depositing User: | Anne Pengelly |
| Date Deposited: | 12 Sep 2016 12:16 |
| Last Modified: | 03 Aug 2023 12:39 |
| URI: | https://eprints.glos.ac.uk/id/eprint/3902 |
University Staff: Request a correction | Repository Editors: Update this record
