2017
DOI: 10.3390/su9112061
|View full text |Cite
|
Sign up to set email alerts
|

A Joint Optimal Decision on Shipment Size and Carbon Reduction under Direct Shipment and Peddling Distribution Strategies

Abstract: Abstract:Recently, much research has focused on lowering carbon emissions in logistics. This paper attempts to contribute to the literature on the joint shipment size and carbon reduction decisions by developing novel models for distribution systems under direct shipment and peddling distribution strategies. Unlike the literature that has simply investigated the effects of carbon costs on operational decisions, we address how to reduce carbon emissions and logistics costs by adjusting shipment size and making … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2

Relationship

2
0

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 22 publications
0
2
0
Order By: Relevance
“…Thus, flexible production systems are always helpful in optimizing profit and making an economically sustainable production process [49]. Min and Chung [50] proposed a distribution model by optimizing shipment size. They considered the concept of carbon emissions reduction in their study.…”
Section: Green Level (Gl)-dependent Variable Production Rate (Vpr)mentioning
confidence: 99%
“…Thus, flexible production systems are always helpful in optimizing profit and making an economically sustainable production process [49]. Min and Chung [50] proposed a distribution model by optimizing shipment size. They considered the concept of carbon emissions reduction in their study.…”
Section: Green Level (Gl)-dependent Variable Production Rate (Vpr)mentioning
confidence: 99%
“…Similar to the assumption in [26][27][28][29], we assume that the cost function, C(e L , e S ), for the effort levels, (e L , e S ), is quadratic as follows.…”
Section: Optimal Effort Levels In a Single Officementioning
confidence: 99%