| Title |
A PSO-based optimum consumer incentive policy for WEEE incorporating reliability of components |
| ID_Doc |
77149 |
| Authors |
Agarwal, G; Barari, S; Tiwari, MK |
| Title |
A PSO-based optimum consumer incentive policy for WEEE incorporating reliability of components |
| Year |
2012 |
| Published |
International Journal Of Production Research, 50, 16 |
| DOI |
10.1080/00207543.2011.590538 |
| Abstract |
The world is going digital, human infatuation with gadgets is increasing and a very short product lifecycle of these products has resulted in a horrendous threat to the environment. Waste electrical and electronic equipment (WEEE) reverse logistic management has been a key area for researchers to innovate and produce insights that could sustain businesses without compromising the environment. In this paper, we aim to understand the consumer return behaviour of end of life goods at different incentive levels and make an attempt to incorporate the latest research practices. A novel attempt is made in this paper, where we have for the first time applied product and component reliability in determining the incentives given to the consumer so that the efforts of WEEE recycling and disposal could be conducted in an economically sustainable manner to promote ecological sustainability, thereby envisaging upon the fact that there is a hidden synergy between the trade and environment, and only innovative managerial approaches that are thoroughly pragmatic, could exploit them. The optimisation model has been solved using particle swarm optimisation (PSO) and the insights produce highlight upon the feasibility of such a model. |
| Author Keywords |
waste electrical and electronic equipment (WEEE); reverse logistics management; end-of-life stage (EOL); reliability modelling; particle swarm optimisation (PSO); consumer return policy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000307642100003 |
| WoS Category |
Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science |
| Research Area |
Engineering; Operations Research & Management Science |
| PDF |
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