CUED Publications database

Designing a mixed evaluating system for green manufacturing of automotive industry

Cao, Y and You, J and Wang, R and Shi, Y (2016) Designing a mixed evaluating system for green manufacturing of automotive industry. Problemy Ekorozwoju, 11. pp. 73-86. ISSN 1895-6912

Full text not available from this repository.

Abstract

© 2016, Politechnika Lubelska. All rights reserved. The article proposed, from a sustainable development perspective, an index system based on Sustainability Balanced Scorecard (SBSC), including the main index of Financial, Internal process, Customer, Learning and growth, Social and the sub- index which comprised 28 indexes to evaluate the Green Manufacturing (GM) of automotive industry. Based on the index system, an evaluation model integrates by back-propagation artificial neural network (BPANN) and genetic algorithm (GA) was introduced. Using established model and indicators evaluated GM in four automotive companies; the key result of the evaluated show that: China’s automotive manufacturing enterprises still have big room for improvement in respect of customer satisfaction, resource consumption, community service, low-carbon activities etc., so the strategy and management activities that put much pressure on these respect are necessary.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div E > Manufacturing Systems
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:19
Last Modified: 16 Nov 2017 02:18
DOI: