2016
DOI: 10.3390/su8040341
|View full text |Cite
|
Sign up to set email alerts
|

Optimal Partner Combination for Joint Distribution Alliance using Integrated Fuzzy EW-AHP and TOPSIS for Online Shopping

Abstract: Abstract:With the globalization of online shopping, deterioration of the ecological environment and the increasing pressure of urban transportation, a novel logistics service mode-joint distribution (JD)-was developed. Selecting the optimal partner combination is important to ensure the joint distribution alliance (JDA) is sustainable and stable, taking into consideration conflicting criteria. In this paper, we present an integrated fuzzy entropy weight, fuzzy analytic hierarchy process (fuzzy EW-AHP) and fuzz… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
21
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
9
1

Relationship

2
8

Authors

Journals

citations
Cited by 27 publications
(21 citation statements)
references
References 50 publications
0
21
0
Order By: Relevance
“…The global development of e-commerce has forced the emergence of the association of companies in a common system of distribution of goods or the introduction of external collaborators to improve the sustainability of each system individually. An additional task within this approach is related to the selection of optimal partners [56]. One of the significant market advantages of e-commerce companies is the possession of their own, well-organized, and flexible delivery system.…”
Section: B Decision-making Approaches For Last-mile Deliverymentioning
confidence: 99%
“…The global development of e-commerce has forced the emergence of the association of companies in a common system of distribution of goods or the introduction of external collaborators to improve the sustainability of each system individually. An additional task within this approach is related to the selection of optimal partners [56]. One of the significant market advantages of e-commerce companies is the possession of their own, well-organized, and flexible delivery system.…”
Section: B Decision-making Approaches For Last-mile Deliverymentioning
confidence: 99%
“…One of the more frequently used modelling tools has been fuzzy-logic-based methods due to their appropriateness to address uncertainty and subjectivity in decision-making processes [24]. FIS and/or fuzzy-AHP analysis have been used to rank water quality indicators [24], aid in environmental management decision-making [25,26], assess the quality and sustainability of supply chains [27][28][29][30], evaluate manufacturing processes [31], manage investment portfolios [32], provide the appropriate healthcare services for senior citizens [33], optimize the liquefied natural gas importation in Korea [34], optimize robot path selections of mobile robots [35], optimize joint distribution alliance partnerships [36], assess emerging three-dimensional integrated circuit technologies [37], assess potassium saturation of calcareous soils [38], evaluate the land suitability for a multitude of purposes [39], evaluate barriers of corporate social responsibility [40], and aid a multitude of other decision-making processes. Concerning the risks of technology transfer, fuzzy analysis was used to aid technology-based decisions for information technology organizations competing in global markets [41] and in transferring biotechnology [42].…”
Section: Existing Literaturementioning
confidence: 99%
“…The model is called customers' pickup (CP) [4]. CP is becoming an increasingly popular delivery mode among express companies for online buyers in the last mile delivery because of its time flexibility, both in the academic literature and in practical industry [5]- [7]. Home delivery (HD) means that vehicles must arrive at predetermined customer locations within predetermined time windows, or vehicles have to deliver for second or third time.…”
Section: Introductionmentioning
confidence: 99%