Title: Optimal materials purchasing for ready-mixed concrete in construction projects with environmental effects
Authors: Qiurui Liu; Jiuping Xu; Ziqiang Zeng; Shiyong Wu; Manbin Shen
Addresses: Business School, Sichuan University, Chengdu, 610064, China; College of Public Administration, Huazhong Agricultural University, Wuhan, 430070, China ' Business School, Sichuan University, Chengdu, 610064, China; State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, 610064, China ' Business School, Sichuan University, Chengdu, 610064, China ' Ertan Hydropower Development Company, Ltd., Chengdu, 610051, China ' Ertan Hydropower Development Company, Ltd., Chengdu, 610051, China
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.
Keywords: materials purchasing; operations optimisation; quantitative method; production economics; ready-mixed concrete; construction projects; environmental impact; construction industry; project management; modelling; uncertainty; materials recycling; carbon emissions; particle swarm optimisation; PSO; air pollution; China; hydropower projects.
International Journal of Applied Decision Sciences, 2016 Vol.9 No.1, pp.70 - 99
Received: 01 Sep 2015
Accepted: 31 May 2016
Published online: 08 Aug 2016 *