 Ready mixed concrete trucks scheduling for minimising fuel cost of ready mixed concrete trucks from multiple plants to multiple sites using bee algorithmNuntana Mayteekriengkrai and Wuthichai Wongthatsanekorn International Journal of Operational Research, 2017, vol. 28, issue 3, 327-347 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. Keywords: fuel costs; cost reduction; multiple plants; multiple sites; MPMS; bees algorithm; concrete types; ready mixed concrete; RMC trucks; truck scheduling; heavy vehicles; metaheuristics; simulation; batch plants; construction sites; particle swarm optimisation; PSO; genetic algorithms. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:28:y:2017:i:3:p:327-347 Access Statistics for this article More articles in International Journal of Operational Research from Inderscience Enterprises Ltd |
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