TY - CHAP
T1 - Addressing decision-making in the process industry using life cycle approach coupled to Linear Programming
T2 - A case study on anchovy canning industry in Cantabria Region (Northern Spain)
AU - Garcia-Herrero, Isabel
AU - Laso, Jara
AU - Margallo, Maria
AU - Hjaila, Kefah
AU - Bala, Alba
AU - Gazulla, Cristina
AU - Fullana, Pere
AU - Vazquez-Rowe, Ian
AU - Irabien, Angel
AU - Aldaco, Ruben
N1 - Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/10
Y1 - 2017/10
N2 - The main objective of Life cycle assessment (LCA) studies is to support decision-making in environmental sustainable production and consumption. Nevertheless, stake-holders are often forced to choose among several environmental profiles, comprised by a wide range of environmental categories for each alternative. The variety of metrics may hinder the decision-making process, especially when there is no scenario scoring better than the rest in every metric simultaneously. Aggregated indexes can simplified this task by defining attached weights to impacts. Moreover, environmental decisions are usually subjected to economy costs, since production processes are embedded into the product system value. This work proposes a methodology that combines LCA and life cycle cost (LCC) to linear programming in order to define a composite eco-efficiency index. Our model is subjected to optimization to determine a valid range of weighting factors within which the solutions are potentially optimal. This approach is applied to the anchovy canning sector and allows the translation into economic terms of the environmental damage caused when a given alternative is chosen.
AB - The main objective of Life cycle assessment (LCA) studies is to support decision-making in environmental sustainable production and consumption. Nevertheless, stake-holders are often forced to choose among several environmental profiles, comprised by a wide range of environmental categories for each alternative. The variety of metrics may hinder the decision-making process, especially when there is no scenario scoring better than the rest in every metric simultaneously. Aggregated indexes can simplified this task by defining attached weights to impacts. Moreover, environmental decisions are usually subjected to economy costs, since production processes are embedded into the product system value. This work proposes a methodology that combines LCA and life cycle cost (LCC) to linear programming in order to define a composite eco-efficiency index. Our model is subjected to optimization to determine a valid range of weighting factors within which the solutions are potentially optimal. This approach is applied to the anchovy canning sector and allows the translation into economic terms of the environmental damage caused when a given alternative is chosen.
KW - anchovy canning industry
KW - composite index
KW - life cycle assessment
KW - life cycle cost
KW - linear programing optimization
UR - http://www.scopus.com/inward/record.url?scp=85041407061&partnerID=8YFLogxK
U2 - 10.1016/B978-0-444-63965-3.50339-1
DO - 10.1016/B978-0-444-63965-3.50339-1
M3 - Chapter
AN - SCOPUS:85041407061
T3 - Computer Aided Chemical Engineering
SP - 2023
EP - 2028
BT - Computer Aided Chemical Engineering
PB - Elsevier B.V.
ER -