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3432. Model for the Hospital Waste Collection Problem Considering Shared Load

Invited abstract in session TC-58: Waste Collection, stream VeRoLog - Vehicle Routing and Logistics.

Tuesday, 12:30-14:00
Room: S07 (building: 101)

Authors (first author is the speaker)

1. Danna Manrique-Saavedra
School of Industrial and Business Studies, Universidad Industrial de Santander
2. Javier Arias-Osorio
School of Industrial and Business Studies, Universidad Industrial de Santander
3. Edgar E. Córdoba-Sarmiento
School of Industrial and Business Studies, Universidad Industrial de Santander

Abstract

Hospital institutions navigate daily through critical risk activities, giving rise to the substantial generation of medical waste. These activities involve tailored control and monitoring procedures, encompassing logistical planning for the disposal and elimination of waste as an integral part of achieving their mission.

This ethos extends universally across industries and supply chains associated with healthcare. Consequently, this study delves into the pharmaceutical supply chain from the perspective of conscientious disposal practices. It categorizes waste into hazardous and non-hazardous types, linking them to designated treatment centers, whether those be recycling hubs or remanufacturing facilities. This classification takes into account the lifespan parameter for non-hazardous waste and mandates direct incineration for hazardous materials.

Finally, the study introduces an optimization model to scrutinize various hospital institutions as prolific sources of waste. These institutions would be visited by a diverse fleet of waste collection vehicles, equipped to handle both hazardous and non-hazardous waste. The model aims to address the primary queries of the Inventory Routing Problem (IRP): 1) When is the optimal time for visits? 2) What volume of waste should be collected? and 3) Which route should be pursued? Additionally, it incorporates an analysis of shared load considerations in each collection, particularly for smaller-scale instances.

Keywords

Status: accepted


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