Affiliations: [a] Department of Industrial Engineering, Narvik University College, Narvik, Norway | [b] China Urban Construction Design and Research Institute, Beijing, China | [c] School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, Zhejiang, China | Department of Industrial Engineering, Narvik University College, Narvik, Norway
Correspondence:
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Corresponding author: Wei Deng Solvang, Department of Industrial Engineering, Narvik University College, P.O. 385 Lodve Langes Gate 2, 8505 Narvik, Norway. Tel.: +47 76966351; E-mail: wds@hin.no
Abstract: Nowadays, sustainable development has increasingly drawing public attention due to environmental, economic and social reasons. To pursue a more competitive and sustainable society needs greater concentration on waste management. However, waste management is a worldwide challenge, because several interactive influencing factors, i.e., costs, risks, equity, etc., and the characteristics of different regions have to be simultaneously taken into consideration. The optimal solution for one influencing factor is usually not a good choice for another. Therefore, it is highly preferred to develop a sophisticated system analysing tool for managing those interactive influencing factors as well as the characteristics of different waste management systems in an efficient and sustainable manner. In this paper, a decision aided system based upon multi-objective programming is proposed for addressing the optimal trade-off among costs, risks and sustainability of waste management system from long-term perspective. A theoretical framework of sustainable waste management is first established, and the mathematical model as well as the computation method is then formulated accordingly. To present the application of this model, an illustrative calculation is performed as well, and the model computation in this paper is done by using programming language in a professional optimization software Lingo 13.0.
