Document Type : Research Paper

Authors

1 Islamic Azad University, Tehran North Branch

2 Pharmacotherapy Department, School of Pharmacy, Baqiyatallah University of Medical Sciences, Tehran, Iran.

Abstract

Health care solid wastes include all types of waste that are produced as a result of
medical and therapeutic activities in hospitals and health centers. About 15% to
20% of these waste materials are infectious waste, which falls within the category
of hazardous materials. Infectious waste is the one that must be treated before
disposal or recycling. Hence, this paper seeks to develop a bi-objective mixed
integer programming model for the infectious waste management. In the proposed
model, in addition to minimizing the chain costs, the reduction of risks for the
population exposed to the spread of contamination resulting from infectious waste
is also considered. For this purpose, a multi-echelon chain is proposed by taking
into account the green location-routing problem, which involves the location of
recycling, disposal, and treatment centers through various treatment technologies
and routing of vehicles between treatment levels and the hospital. The routing
problem has been considered to be multi-depot wherein the criterion of reducing
the cost of fuel consumption of heterogeneous cars is used for green routing.
Finally, a hybrid meta-heuristic algorithm based on ICA and GA is developed
and, following its validation, its function in solving large-scale problems has been
investigated. Results show that the proposed algorithm is effective and efficient.

Keywords

جقتایی‌نوایی، مهدی، محمودیان، وحید، فضلی، مهدی، بزرگی امیری، علی. (1395). یک مدل چندهدفه مکان‌یابی- مسیریابی برای احداث مراکز پالایش، بازیافت و دفع زباله‌های بیمارستانی، نشریه بین‌المللی مهندسی صنایع و مدیریت تولید، 27 (2)، 262-274، http://ijiepm.iust.ac.ir/article-۱-۱۱۱۹-fa.html
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Joghtaei, M. Mahmoodian, V., Fazli, M. & Bozorgi-Amirai, A. (2016). A Multi Objective Location-Routing Model for Treatment, Recycling and Disposal Centers of Hospital Wastes. International Journal of Industrial Engineering & Production Management, 27(2), 262-274. [In Persian].