Inoperability input-output modeling approach to risk analysis in biomass supply chains
This chapter introduces a rigorous methodology known as inoperability input-output modeling (IIM) for making quantitative predictions of how sectoral interdependencies lead to collateral risks economy wide that may occur as a result of loss of agricultural crop output in biomass-based systems. It fi...
Saved in:
Main Authors: | Yu, Krista Danielle S., Aviso, Kathleen B., Aziz, Mustafa Kamal Abdul, Morad, Noor Azian, Promentilla, Michael Angelo B., Santos, Joost R., Tan, Raymond Girard R. |
---|---|
Format: | text |
Published: |
Animo Repository
2015
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/621 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
P-graph approach to allocation of inoperability in urban infrastructure systems
by: Tan, Raymond Girard R., et al.
Published: (2015) -
Analysis of drought risk management strategies using dynamic inoperability input–output modeling and event tree analysis
by: Santos, Joost R., et al.
Published: (2014) -
Fuzzy inoperability input-output analysis of mandatory biodiesel blending programs: The Philippine case
by: Tan, Raymond Girard R., et al.
Published: (2014) -
Risk assessment of the economic impacts of climate change on the implementation of mandatory biodiesel blending programs: A fuzzy inoperability input-output modeling (IIM) approach
by: Aviso, Kathleen B., et al.
Published: (2015) -
A weighted fuzzy linear programming model in economic input–output analysis: An application to risk management of energy system disruptions
by: Yu, Krista Danielle S., et al.
Published: (2016)