Publication:
A Model for Selecting a Biomass Furnace Supplier Based on Qualitative and Quantitative Factors
A Model for Selecting a Biomass Furnace Supplier Based on Qualitative and Quantitative Factors
No Thumbnail Available
Files
Date
2021
Authors
Chia-Nan Wang
Hsin-Pin Fu
Hsien-Pin Hsu
Van Thanh Nguyen
Viet Tinh Nguyen
Ansari Saleh Ahmar
Journal Title
Journal ISSN
Volume Title
Publisher
Research Projects
Organizational Units
Journal Issue
Abstract
In developing countries, solar energy is the largest source of energy,
accounting for 35%–45% of the total energy supply. This energy resource
plays a vital role in meeting the energy needs of the world, especially in
Vietnam.Vietnam has favorable natural conditions for this energy production.
Because it is hot and humid, and it has much rainfall and fertile soil, biomass
develops very quickly. Therefore, byproducts from agriculture and forestry
are abundant and continuously increasing. However, byproducts that are considered
natural waste have become the cause of environmental pollution;
these include burning forests, straw, and sawdust in the North; and rice husks
dumped into rivers and canals in the Mekong Delta region. Biomass energy
is provided in a short cycle, is environmentally safe to use and is encouraged
by organizations that support sustainable development. Taking advantage of
this energy source provides energy for economic development and ensures
environmental protection. Due to the abovementioned favorable conditions,
many biomass energy plants are being built in Vietnam. Like other renewable
energy investment projects, the selection of the construction contractor, the
selection of equipment for the installation of the power plant, and the choice
of construction site are complexmulti-criteria decisions. In this case, decisionmakers
must evaluate many qualitative and quantitative factors. These factors
interact with each other and it is difficult to use personal experience to choose
the optimal solution for such complex decision-making problems, especially
in a fuzzy decision-making environment. Therefore, in this study, the authors
use a Multi-Criteria Decision-Making (MCDM) model that uses a Fuzzy
Analytic Hierarchy Process (FAHP) model and the Combined Compromise
Solution (CoCoSo) algorithm to select biomass furnace suppliers utilizing both qualitative and quantitative factors. Furthermore, the results of this
work will provide the first look at a hybrid CoCoSo/FAHP method that
decision-makers in other fields can use to find the best supplier
Description
Keywords
"Biomass energy,
supplier selection,
biomass furnace,
MCDM,
optimization,
CoCoSo algorithm,
fuzzy theory,
FAHP model,
industry 4.0"