Oumer, Abduaziz and Atnaw, Samson M. and Jack, Kie Cheng and Singh, Lakhveer (2016) Modeling Energy Efficiency As A Green Logistics Component In Vehicle Assembly Line. In: IOP Conference Series: Materials Science and Engineering, International Engineering Research and Innovation Symposium (IRIS) , 24-25 November 2016 , Melaka, Malaysia. pp. 1-14., 160 (012068). ISSN 1757-899X
|
PDF
ftech-2016-atnaw-modeling energy efficiency.pdf Download (1MB) | Preview |
Abstract
This paper uses System Dynamics (SD) simulation to investigate the concept green logistics in terms of energy efficiency in automotive industry. The car manufacturing industry is considered to be one of the highest energy consuming industries. An efficient decision making model is proposed that capture the impacts of strategic decisions on energy consumption and environmental sustainability. The sources of energy considered in this research are electricity and fuel; which are the two main types of energy sources used in a typical vehicle assembly plant. The model depicts the performance measurement for process- specific energy measures of painting, welding, and assembling processes. SD is the chosen simulation method and the main green logistics issues considered are Carbon Dioxide (CO2) emission and energy utilization. The model will assist decision makers acquire an in-depth understanding of relationship between high level planning and low level operation activities on production, environmental impacts and costs associated. The results of the SD model signify the existence of positive trade-offs between green practices of energy efficiency and the reduction of CO2 emission.
Item Type: | Conference or Workshop Item (Speech) |
---|---|
Uncontrolled Keywords: | Modelling Energy; Vehicle Assembly Line |
Subjects: | T Technology > T Technology (General) |
Faculty/Division: | Faculty of Engineering Technology |
Depositing User: | Noorul Farina Arifin |
Date Deposited: | 25 Jan 2017 06:47 |
Last Modified: | 16 Nov 2017 02:08 |
URI: | http://umpir.ump.edu.my/id/eprint/16353 |
Download Statistic: | View Download Statistics |
Actions (login required)
View Item |