Project Details
Abstract
Along with the rising global awareness of carbon reduction, the carbon reduction objectives of countries
all over the world have become more specific after the Paris Agreement. In addition to limiting the carbon
emission of enterprises based on carbon emission cap and trade enforced by all governments, the power
consumptions by products have gradually been drawing more and more attentions from consumers. Under
such trend, the effective reduction of carbon emission has become an important subject for various
enterprises to enhance competitiveness.
This is a two-year research project. The first year of this project will be focused on the enterprise
decisions based on the objective of cost minimization under the situations of cap and trade policy, carbon
market trend, and stochastic demands. The factors to be considered include: multiple periods, multiple
products, multiple carbon exchanges, inventory, production cost, and carbon emission; the decision makings
include: investment in energy saving and high production capacity equipment, selection of spot and futures
during carbon trading, and production planning. The investment decision model will be established by
dynamic programming, and sensitivity analysis will be carried out with respect to prices of carbon market,
demand variation, and cap and trade policy strength in order to propose the managerial insights' analyses to
serve as the reference for effective corporate planning of carbon reduction investment. The competitors will
be introduced in the second year of this project such that there is no demand monopoly, and customers begin
to select products based on quality and energy consumption. As a result, enterprises will carry out price
negotiation with suppliers based on the product quality demands of customers in order to improve their
competitiveness and profits. Based on the mathematic model established in the first year, the objective
equation will be converted from minimum cost to maximum profit with the addition of objective equation of
maximum supplier profit. The actual price negotiation situation will be understood and imported into the
dynamic programming model via industrial interviews, and the price negotiation relationship between
enterprises and suppliers will be presented in the Pareto frontier method in order to interpret the scenario and
implication of this relationship with respect to price negotiations between enterprises and suppliers.
Project IDs
Project ID:PB10601-1327
External Project ID:MOST105-2221-E182-047-MY2
External Project ID:MOST105-2221-E182-047-MY2
Status | Finished |
---|---|
Effective start/end date | 01/08/17 → 31/07/18 |
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