The present work proposes a computer-aided methodology
for designing
sustainable supply chains in terms of sustainability metrics by utilizing
the P-graph framework. The methodology is an outcome of the collaboration
between the Office of Research and Development (ORD) of the U.S. EPA
and the research group led by the creators of the P-graph framework
at the University of Pannonia. The integration of supply chain design
and sustainability is the main focus of this collaboration. The P-graph
framework provides a mathematically rigorous procedure for synthesizing
optimal and alternative suboptimal networks subject to multiple objectives
and constraints, which include profitability and sustainability in
the proposed methodology. Specifically, to evaluate the sustainability
of a given process under construction including its supply chain,
sustainability metrics are incorporated into the design procedure.
The proposed methodology is demonstrated with the optimal design of
a supply chain for providing heat and electric power to an agricultural
region with relatively limited land area where agricultural wastes
can potentially be recovered as renewable resources. The objective
functions for optimization comprise the profit and the ecological
footprint. The results of the study indicate that, compared to using
electricity from the grid and/or natural gas, using renewable energy
resources can yield substantial cost reductions of up to 5%, as well
as significant ecological footprint reductions of up to 77%. It may,
therefore, be possible to design more sustainable supply chains that
are both cost-effective and less environmentally damaging.