Abstract
Construction project managers require many different kinds of ready-mixed concrete. In this paper, a materials purchasing optimisation model is established for ready-mixed concrete in construction projects. The proposed model can determine the optimal balance between different objectives and takes account of the complex dynamics and uncertainties in the decision-making process. Further, materials recycling and carbon emissions can also be considered as part of the materials supply planning. We also show the feasible constraints that the managers may have a finite preference for some resource limitation. Then, a dynamic programming-based particle swarm optimisation is developed to determine the optimal solutions to the material purchasing problem. The operational performance of the proposed quantitative method is tested using data from a Chinese hydropower construction project in which it is shown that human uncertainty can be a significant factor in the purchasing problem that materials purchasing quantities are significantly influenced by recycling and that including recycling in the purchasing problem can not only save money but also reduce pollution.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Applied Decision Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.