Designing a Hospital Waste Collection Network Under the Uncertainty of Waste Generation Peak and Collection Time Window

Abstract

In the contemporary world, optimal hospital waste management has emerged as a complex challenge. With the increasing production of hospital waste, including hazardous materials and various pollutants, the need for smart and effective management is more pressing than ever. This study aims to present a mathematical model for optimizing hospital waste management, focusing on collection timing and uncertainty management in peak waste generation. The proposed model seeks to significantly improve efficiency and reduce costs by addressing fluctuations in waste production and collection scheduling. The model assists managers and decision-makers in hospital management in facing the challenges and complexities arising from uncertainty in waste generation and collection. The results of this study demonstrate that utilizing a mathematical model to optimize hospital waste management can markedly enhance efficiency and reduce costs. This innovation not only improves the quality of healthcare services but also plays a crucial role in environmental preservation. This applied research proposes a scientific solution for optimizing hospital waste management and introduces a new approach to improving management processes in this field. The analysis and modeling results indicate that accounting for uncertainty in peak waste generation and collection timing can fundamentally transform the optimal management of hospital waste.