Journal Name:
- Journal of Industrial Engineering and Management
| Author Name | University of Author |
|---|---|
Abstract (2. Language):
Purpose: Even without economic factors and government regulations, the pressure and
motivation of corporation to reduce emissions are still increasing. This is because the key
factors for corporation to reduce emissions have been corporate social responsibility and
increasing awareness of low carbon among consumers and society not economic trade-off and
stringent government regulations. So, the purpose of this paper is to provide quantity methods
for the logistics organizations with wish of voluntary reduction and social responsibility to
reduce emissions through operations adjustment.
Design/methodology/approach: Being difference from the traditional research that takes
economic value as objective and carbon footprint as constraint or another source of economic
cost, this paper takes carbon footprint as objective directly, order quantity as decision variable.
By referring to the traditional economic order quantity model, the paper proposes logistics
carbon footprint model which takes transport and inventory into account. Then it solves the
model by calculating the values of order quantity, carbon footprint and revenue using the
method of optimization.
Findings: By solving and comparing the two models, economic order quantity model and
carbon footprint model, it gets some results, such as carbon optimization order quantity, the
effects of order quantity deviating from economic or carbon order quantity on economic or
carbon footprint values, which can give some meaningful insights for corporation to look for
reduction opportunities by operations adjustment.
Originality/value: The study takes carbon footprint as objective directly and creates the
corresponding quantity model. By comparing with the traditional economic order quantity
model, it can provide quantity methods and some meaningful insights for the logistics
organizations to reduce emissions.
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