Jaipuria Institute of Management, Noida, India.
DMS, Indian Institute of Technology, Delhi, India.
J Environ Manage. 2021 Oct 1;295:113117. doi: 10.1016/j.jenvman.2021.113117. Epub 2021 Jun 30.
The aim of this study is to propose a hybrid multi criteria decision making model with a linear programming (LP) model to tackle the issue of safe disposal of hazardous and infectious healthcare waste. For this, ten criteria in this study have been identified from literature and field surveys which are modelled using Decision making trial and evaluation (DEMATEL) and Analytic network process (ANP) methods to select the best disposal firm i.e. single sourcing for a hospital. We found that Experience of the firm, Technology for disposal, and Waste collection infrastructure acts as the most vital criteria in selecting a healthcare waste disposal firm for single sourcing. Furthermore, to optimize the total value of disposal and mitigating the risk involved in disposing waste through single sourcing; the LP model considering constraints such as waste lose constraint and waste processing constraint etc. Is solved for multiple sourcing using Lingo 18.0. The solution to LP results into allocation of 500, 500, and 1000 (kg/day) disposables to healthcare waste disposal firms D1, D2 and D3, respectively. The multi-method approach proposed in this study helps the hospital management in selecting economically, socially, and environmentally sustainable healthcare waste disposal firm.
本研究旨在提出一种混合多准则决策模型与线性规划（LP）模型来解决危险和传染性医疗保健废物的安全处理问题。为此，本研究从文献和实地调查中确定了十个标准，这些标准使用决策试验和评估实验室（DEMATEL）和分析网络过程（ANP）方法进行建模，以选择最佳的处理公司，即医院的单一来源。我们发现，公司的经验、处理技术和废物收集基础设施是选择单一来源的医疗废物处理公司的最重要标准。此外，为了优化处理的总价值并通过单一来源处理来减轻涉及的风险；考虑到废物损失约束和废物处理约束等约束条件的 LP 模型，使用 Lingo 18.0 为多源问题求解。LP 的解决方案导致将 500、500 和 1000（kg/天）的一次性用品分别分配给医疗废物处理公司 D1、D2 和 D3。本研究提出的多方法方法有助于医院管理层选择经济、社会和环境可持续的医疗保健废物处理公司。
