Ready mixed concrete trucks scheduling for minimising fuel cost of ready mixed concrete trucks from multiple plants to multiple sites using bee algorithm Online publication date: Thu, 26-Jan-2017
by Nuntana Mayteekriengkrai; Wuthichai Wongthatsanekorn
International Journal of Operational Research (IJOR), Vol. 28, No. 3, 2017
Abstract: Currently, there is a high increase of ready mixed concrete (RMC) demand. Some RMC companies put a strategy to set up plants in different areas. An interesting problem is how to utilise RMC trucks among plants for different types of RMC to minimise total fuel cost of transportation. This research proposes applying bee algorithm (BA) to minimise fuel cost of RMC trucks scheduling from multiple plants to multiple sites (MPMS) for three concrete types which are floor, column and beam. The simulated results are demonstrated by varying customer order and distance between batch plants and construction sites in six case study problems. BA is compared with particle swarm optimisation (PSO) and genetic algorithm (GA). The results indicate that BA outperforms GA and PSO in terms of accuracy and efficiency.
Online publication date: Thu, 26-Jan-2017
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Operational Research (IJOR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org