A Bi-objective location-routing model for the healthcare waste management in the era of logistics 4.0 under uncertainty

IF 9.8 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL International Journal of Production Economics Pub Date : 2024-07-25 DOI:10.1016/j.ijpe.2024.109342
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Abstract

The purpose of this study is to apply Industry 4.0-based technologies to improve the management of infectious healthcare waste considering location-routing problem and population risk under uncertainty. To achieve this, a decision support system is developed and implemented utilizing a bi-objective mixed-integer linear programming (MILP) model. The bi-objective MILP model improves the performance of the healthcare waste management by applying Industry 4.0 technologies, including electric autonomous vehicles, information sharing system, internet of things (IoT), Global Navigation Satellite System (GNSS), and RFID-tagged waste bags. We develop a multi-objective solution approach by integrating the lexicographic and TH methods. The validity of the model has been established through its implementation in seven hospitals in the city of Karaj, Iran. The results denoted significant improvements in waste collection efficiency, route optimization, and the reduction of contamination risks.

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不确定性条件下物流 4.0 时代医疗废物管理的双目标定位-路由模型
本研究的目的是应用基于工业 4.0 的技术来改善传染性医疗废物的管理,同时考虑到不确定情况下的位置-路线问题和人口风险。为此,利用双目标混合整数线性规划(MILP)模型开发并实施了一个决策支持系统。双目标 MILP 模型通过应用工业 4.0 技术(包括电动自动驾驶汽车、信息共享系统、物联网(IoT)、全球导航卫星系统(GNSS)和 RFID 标签垃圾袋)提高了医疗废物管理的性能。我们通过整合词法和 TH 法,开发了一种多目标求解方法。通过在伊朗卡拉杰市的七家医院实施该模型,确定了模型的有效性。结果表明,在废物收集效率、路线优化和降低污染风险方面都有显著改善。
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来源期刊
International Journal of Production Economics
International Journal of Production Economics 管理科学-工程:工业
CiteScore
21.40
自引率
7.50%
发文量
266
审稿时长
52 days
期刊介绍: The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.
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