A soft-constrained multi-objective facility location approach for designing a network of household waste recycling centres in South Yorkshire
针对英国南约克郡谢菲尔德市，提出一个软约束多目标设施选址模型，优化家庭垃圾回收中心网络，平衡运营成本与用户满意度，为地方政府决策提供支持。
In the UK Government’s 25 Year Environment Plan, the location of municipal waste collection and recycling facilities plays a crucial role in achieving the Government’s recycling targets. Economic pressures are forcing UK local authorities to reorganise the network of household waste recycling centres (HWRCs) with the dual aim of reducing high operating costs and achieving high user satisfaction, whilst meeting specific legislative requirements. It becomes then paramount to support the optimal design of these networks considering the needs of all the stakeholders involved. We fill this gap by proposing a novel multi-objective facility location problem in waste management (WM) which formalises the underlying real-world scenario for the city of Sheffield in South Yorkshire, and by developing a soft-constrained version of the resulting problem to more accurately capture the actual dynamics driving the network design process. The resulting Pareto Sets are efficiently explored by the robust variant of the AUGMEnted ε-CONstraint method, and a computational characterisation of the proposed model is provided with benchmark instances from a real-world case study. Finally, in-depth scenario and sensitivity analyses provide quantitative and qualitative insights to support strategic planning and decision-making.