Meisam Nasrollahi
University of Tehran
Jafar Razmi
University of Tehran
Reza Ghodsi
Professor, Industrial Engineering Department, University of Tehran
&
Professor, Engineering Department, Central Connecticut State University, USA
Measuring carbon emissions is an essential step in taking required action to fight global warming. This research presents a computational method for measuring transport related carbon emissions in a healthcare supply network. The network configuration significantly impacts carbon emissions. First, a multi-objective mathematical programing model is developed for designing a healthcare supply network in the form of a two-graph location routing problem under demand and fuel consumption uncertainty. Objective functions are minimizing total cost and minimizing total fuel consumption. In the presented model, the demand of each customer must be completely satisfied in each time period, and backlog is not permitted. The number and capacity of vehicles are determined, and vehicles are heterogeneous. Furthermore, fuel consumption depends on traveling distance, vehicle and road conditions, and the load of a vehicle. The centroid method is applied to face demand uncertainty. Next, a multi-objective non-dominated ranked genetic algorithm (M-NRGA) is proposed to solve the model. Then, a Monte Carlo based approach is presented for measuring
transport-related carbon emissions based on fuel consumption in supply network. Finally, the proposed approach is applied to the case of a healthcare supply network in the Fars province in Iran. The obtained results illustrate that the proposed approach is a practical tool in designing healthcare supply networks and measuring transport-related carbon emissions in the network.
P. Martens, Health and climate change: modelling the impacts of global warming and ozone depletion. Routledge, 2014.
A. Ali, S. E. Amin, H. H. Ramadan, and M. F. Tolba, “Enhancement of OMI aerosol optical depth data assimilation using artificial neural network,” Neural Computing and Applications, vol. 23, no. 7–8, pp. 2267–2279, 2013.
R. K. Pachauri et al., “Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change,” 2014.
P. P. Reddy, “Causes of Climate Change,” in Climate Resilient Agriculture for Ensuring Food Security, Springer, 2015, pp. 17–26.
A. Acquaye, A. Genovese, J. Barrett, and S. C. L. Koh, “Benchmarking carbon emissions performance in supply chains,” Supply Chain Management: An International Journal, vol. 19, no. 3, pp. 306–321, 2014.
S. J. O’Shea et al., “Area fluxes of carbon dioxide, methane, and carbon monoxide derived from air
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