Productivity improvement of a computer hardware supply chain
International Journal of Productivity and Performance Management
ISSN: 1741-0401
Article publication date: 1 June 2005
Abstract
Purpose
To determine the key reverse logistics variables, which the top management should focus so as to improve the productivity and performance of computer hardware supply chains.
Design/methodology/approach
In this paper, an interpretive structural modeling (ISM) based approach has been employed to model the reverse logistics variables typically found in computer hardware supply chains. These variables have been categorized under “enablers” and “results”. The enablers are the variables that help boost the reverse logistics variables, while results variables are the outcome of good reverse logistics practices.
Findings
A key finding of this modeling is that environmental concern is the primary cause of the initiation of reverse logistics practices in computer hardware supply chains. For better results, top management should focus on improving the high driving power enabler variables such as regulations, environmental concerns, top management commitment, recapturing value from used products, resource reduction, etc.
Originality/value
In this research, an interpretation of reverse logistics variables in terms of their driving and dependence powers has been carried out. Those variables possessing higher driving power in the ISM need to be taken care on a priority basis because there are a few other dependent variables being affected by them. Variables emerging with high dependence contribute to productivity and performance of green supply chain.
Keywords
Citation
Ravi, V., Shankar, R. and Tiwari, M.K. (2005), "Productivity improvement of a computer hardware supply chain", International Journal of Productivity and Performance Management, Vol. 54 No. 4, pp. 239-255. https://doi.org/10.1108/17410400510593802
Publisher
:Emerald Group Publishing Limited
Copyright © 2005, Emerald Group Publishing Limited