TY - JOUR
T1 - Biomass waste-to-energy supply chain optimization with mobile production modules
AU - Allman, Andrew
AU - Lee, Che
AU - Martín, Mariano
AU - Zhang, Qi
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/7
Y1 - 2021/7
N2 - Biomass waste is a naturally occurring agricultural byproduct. It is estimated that about 60 million tons per year can be extracted sustainably without altering land use patterns or competing with existing demands. Utilizing this waste is logistically challenging due to the inherent low density and distributed availability of biomass. This work proposes a supply chain optimization problem which decides where to locate and relocate mobile and modular production units to convert biomass waste to energy. Both deterministic and two-stage stochastic formulations are presented, accounting for the inherent uncertainty of where and how much biomass is produced. The framework is applied to case studies analyzing the states of Minnesota and North Carolina. Results from both states show that mobile production modules lead to supply chain cost savings of 1–4%, or millions of dollars per year. Additionally, this work demonstrates the benefit of mobile modules as a means of protecting against uncertainty.
AB - Biomass waste is a naturally occurring agricultural byproduct. It is estimated that about 60 million tons per year can be extracted sustainably without altering land use patterns or competing with existing demands. Utilizing this waste is logistically challenging due to the inherent low density and distributed availability of biomass. This work proposes a supply chain optimization problem which decides where to locate and relocate mobile and modular production units to convert biomass waste to energy. Both deterministic and two-stage stochastic formulations are presented, accounting for the inherent uncertainty of where and how much biomass is produced. The framework is applied to case studies analyzing the states of Minnesota and North Carolina. Results from both states show that mobile production modules lead to supply chain cost savings of 1–4%, or millions of dollars per year. Additionally, this work demonstrates the benefit of mobile modules as a means of protecting against uncertainty.
KW - Biomass waste-to-energy
KW - Circular economy
KW - Distributed supply chain
KW - Modular manufacturing
KW - Stochastic programming
UR - http://www.scopus.com/inward/record.url?scp=85104720201&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85104720201&partnerID=8YFLogxK
U2 - 10.1016/j.compchemeng.2021.107326
DO - 10.1016/j.compchemeng.2021.107326
M3 - Article
AN - SCOPUS:85104720201
SN - 0098-1354
VL - 150
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
M1 - 107326
ER -