Green-lean operations evaluation framework: a case from Iranian automotive industry

Ojani, Shabnam and Avakh Darestani, Soroush (2021) Green-lean operations evaluation framework: a case from Iranian automotive industry. International Journal of Productivity and Quality Management. pp. 1-17. ISSN 1746-6482 (In Press)

Preview

Text (Article) Green lean IJPQM after acceptance.pdf - Accepted Version Download (491kB) | Preview

Abstract / Description

Companies have been forced to find alternatives to balance productivity and the environment in their operations and products as they move to greener operations and products. The result of this action is the balancing of continuous or simultaneous exploration using pure and green designs. The purpose of this paper is to identify green-lean evaluation model in Automotive Industry. In this study, important criteria of green lean production system were identified from studies conducted in this field. The effects of the proposed criteria and their relationships are examined using a questionnaire. Furthermore, the Best-Worst Method (BWM) has been used for ranking a weight matrix. Also, the causal relationships among each criterion and sub-criteria are obtained by utilizing the Decision making trial and evaluation laboratory (DEMATEL) technique . The results showed that the use of environmental-friendly and recyclable packaging materials and the increase in the useful life of packaged materials ranked as top two in the Green-Lean in this realm. In operational management, the green lean techniques will be implemented to reduce both waste and pollution. Also, this strategy allows the company to enhance its operational and environmental efficiency.

Item Type:	Article
Uncontrolled Keywords:	production system; green-lean; best-worst method
Subjects:	600 Technology > 650 Management & auxiliary services 600 Technology > 680 Manufacture for specific uses
Department:	Guildhall School of Business and Law
Depositing User:	Soroush Avakh Darestani
Date Deposited:	24 Aug 2021 08:58
Last Modified:	01 Aug 2022 01:58
URI:	https://repository.londonmet.ac.uk/id/eprint/6912

Downloads

Actions (login required)

View Item