Location and Capacity Optimization of Waste Recycling Centers:Mathematical Models and Numerical Experiments

Abstract

With rapid urbanization growth, considerable amounts of construction waste are generated on an annual basis, posing significant economic and environmental challenges worldwide. Re-cycling construction waste is a sustainable way for waste disposal, leading to the necessity of meticulous planning of recycling centers. A well-designed plan for constructing recycling centers can effectively improve the recycling rate of construction waste while minimizing investment. This paper formulates a two-stage stochastic model for planning recycling centers with the objective of maximizing the recycling rate under different scenarios. This study comprehensively considers various uncertain factors, such as the amount of construction waste generated and the demand for recycled materials. A case study of Guangzhou is used for validation, which demonstrates the effectiveness of the developed model in planning recycling center construction. The comparison between the proposed model and a conventional mean value model shows the importance of accounting for uncertainties. Specifically, the derived results indicate that 7% more construction waste is recycled with the same investment in constructing recycling centers. Additionally, via a sensitivity analysis, valuable managerial insights on investing resources in recycling center construction are provided to decision makers. Ultimately, the research findings are expected to enhance the recycling rate of construction waste, thereby contributing to sustainable industry development.

Publication DOI: https://doi.org/10.3390/app14167039
Divisions: College of Engineering & Physical Sciences > Smart and Sustainable Manufacturing
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
Funding Information: This research is supported by the National Natural Science Foundation of China (Grant Nos. 72201229 and 72361137006) and the Research Grants Council of the Hong Kong Special Administrative Region, China (Project Number 25211722
Additional Information: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Uncontrolled Keywords: constuction waste,recycling centers,stochastic optimization,uncertainty
Publication ISSN: 2076-3417
Data Access Statement: The raw data supporting the conclusions of this article will be made available by the authors on request.
Last Modified: 18 Dec 2024 08:23
Date Deposited: 22 Aug 2024 13:10
Full Text Link:
Related URLs: https://www.mdp ... 3417/14/16/7039 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2024-08
Published Online Date: 2024-08-11
Accepted Date: 2024-08-09
Authors: Xie, Shenming
Lim, Ying Terk
Wang, Huiwen
Yi, Wen
Antwi-Afari, Maxwell Fordjour (ORCID Profile 0000-0002-6812-7839)

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